{"count":1121,"next":null,"previous":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/grants_received/?limit=100&offset=965","results":[{"grant_id":"360G-Wellcome-225875_Z_22_Z","data":{"id":"360G-Wellcome-225875_Z_22_Z","title":"Immune checkpoint regulation of the host-microbe interactome  ","Region":"London","currency":"GBP","awardDate":"2022-09-30T00:00:00+00:00","Internal ID":"225875/Z/22/Z","description":"Immune checkpoint molecules (e.g. CTLA4, PD-1) restrain immune activation, especially at barrier surfaces where potent inflammatory cues are abundant, including trillions of commensal bacteria. This is exemplified by the microbiota-dependent colitis developing in cancer patients treated with immune checkpoint inhibitors (CPI). Mechanistically resolving the immunopathology of CPI-colitis affords a novel, experimental medicine opportunity to understand immune checkpoint regulation of the host-microbe interactome. Using longitudinally sampled mucosal biopsies from CPI-treated patients, and novel CPI-colitis models, I will test the hypothesis that microbially-derived metabolites induce IL27-responsive, polyfunctional CXCR6+ T-cells, which are responsible for mediating CPI-colitis. IL27 regulated transcriptional modules in colonic CXCR6+ T-cells will be mapped during transitions from health to disease using parallel scRNA-seq, scATAC seq and proteome profiling. Communication networks between CXCR6+ T-cells, IL27-expressing mononuclear phagocytes, and neighbouring cells will be spatio-temporally resolved using spatial transcriptomics. The CPI-colitis associated metabolome will be longitudinally defined in patients (NMR and LC-MS). The functional impact of disease-associated metabolites, IL27 and CXCR6+ lymphocyte effector pathways will be mechanistically probed in relevant preclinical models. Beyond informing much needed treatment strategies for patients with CPI-colitis, this study will provide novel insights into the fundamental biology of immunometabolic regulation of mucosal immune function.","plannedDates":[{"endDate":"2031-02-28T00:00:00+00:00","startDate":"2023-03-01T00:00:00+00:00"}],"amountAwarded":3236010,"Financial Year":"2021/22","Lead Applicant":"Prof Nick Powell","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Powell","Approval Committee":"DSV Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":3236010},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-226072_Z_22_Z","data":{"id":"360G-Wellcome-226072_Z_22_Z","title":"Climate Sensitive Vector Borne Disease Intervention Tools  ","Region":"London","currency":"GBP","awardDate":"2022-07-31T00:00:00+00:00","Internal ID":"226072/Z/22/Z","description":"The impact of climate change on mosquito-borne diseases are highly uncertain and will vary regionally as people and mosquitoes adjust in different ways. Estimates of how climate influences mosquitoes’ ability to spread disease are scarce, with experiments typically conducted in artificial environments with inbred-laboratory strains. High-quality entomological data from disease endemic areas will be essential to produce meaningful future projections. This project proposes to develop a flexible user-friendly interface to allow policymakers, stakeholders and researchers to explore the epidemiological consequences of the changing environment. The tool will empower primary data collection by translating user defined estimates of how mosquito bionomics may change over time into disease projections in their local environment given existing and future control interventions. Users can also input projections of disease burden from statistical models and investigate the public health measures needed to mitigate the effects of climate change. The project will focus on malaria and the arboviruses dengue, zika and chikungunya. It will build on the existing malaria interface (https://mint.dide.ic.ac.uk/) to include climate sensitive mosquito bionomics inside established disease- specific mechanistic models. Situations ranging from disease introduction to increasing mosquito abundance will be explored to allow future scenario planning including economic evaluations across spatial scales.","plannedDates":[{"endDate":"2027-10-31T00:00:00+00:00","startDate":"2022-11-01T00:00:00+00:00"}],"amountAwarded":519891,"Financial Year":"2021/22","Lead Applicant":"Dr Thomas S Churcher","grantProgramme":[{"title":"Digital Technology Dev. Award in Climate Sensitive Infectious Disease Modelling"}],"Applicant Surname":"Churcher","Approval Committee":"Digital Technology Development Award Committee","Other Applicant(s)":"Prof Charles Sinclair Wondji, Dr Ilaria Dorigatti, Prof Matthew B Thomas","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":519891},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-226141_Z_22_Z","data":{"id":"360G-Wellcome-226141_Z_22_Z","title":"G2P – Global Knowledge Exchange to Enable In Country Risk Assessment of SARS CoV-2 Variants  ","Region":"London","currency":"GBP","awardDate":"2022-07-05T00:00:00+00:00","Internal ID":"226141/Z/22/Z","description":"SARS CoV-2 continues to evolve. Novel variants are driven by high levels of global transmission and viral replication, sustained selection pressures imparted by existing immunity acquired through natural infection and vaccination, and increasing use of antivirals. Building on G2P-UK, established working partnerships between teams in the UK, Africa and India, and an ethos of free knowledge exchange, we outline 4 inter-related aims that will enable and prepare G2P-Global to evaluate the significance of emerging viral variation across 3 continents. We will: 1) Implement standardized methodologies that enable rapid in-country risk assessment of the biological and antigenic properties of SARS-CoV-2 variants of concern (VOCs), providing real-time data for guiding infection control and vaccination policies; 2) Undertake discovery-led molecular, cellular and in vivo (hamster) analyses of variant phenotypes to address the mechanistic basis for how the virus can evolve while balancing immune escape with the maintenance of efficient respiratory transmission; 3) Assess the potential for spill-overs into domesticated and wild animal species and subsequent reservoir seeding; 4) Establish communications networks and laboratory resources that will build technical and logistical preparedness enabling G2P-Global partners and additional collaborators to undertake in-country virological assessments of future respiratory virus outbreaks, and associated virus variants.","plannedDates":[{"endDate":"2027-01-31T00:00:00+00:00","startDate":"2023-02-01T00:00:00+00:00"}],"amountAwarded":3055943,"Financial Year":"2021/22","Lead Applicant":"Prof Wendy S Barclay","grantProgramme":[{"title":"Directed Call"}],"Applicant Surname":"Barclay","Approval Committee":"Epidemic Technical Advisory Panel","Other Applicant(s)":"Prof Annapurna Vyakarnam, Prof Martin Antonio, Prof Katie J Doores, Prof Massimo Palmarini, Prof Michael Henry Malim, Prof Bryan Charleston, Dr Dalan Bailey, Dr Varadarajan Sundaramurthy, Dr James Jimmy Nyagwange","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":3055943},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-226507_Z_22_Z","data":{"id":"360G-Wellcome-226507_Z_22_Z","title":"Microbial metabolites in human newborns – future immunomodulatory agents for young and old  ","Region":"London","currency":"GBP","awardDate":"2023-01-24T00:00:00+00:00","Internal ID":"226507/Z/22/Z","description":"The first months of life represents a critical period for human immune system development1. Antibiotic exposure during this time perturbs microbial colonisation, derails the establishment of healthy immune-microbe relationships, and increases the risk of asthma and allergies2, autoimmune diseases like juvenile arthritis3, and even neurodevelopmental conditions like autism later in life1,3. Early in life the immune system must prevent pathogens from invading yet tolerate commensal microbes and avoid exuberant responses to harmless allergens. The detailed mechanisms involved in this balancing act are poorly understood but microbial metabolites are likely to be critical modulators4,5. Here we plan to search for microbial metabolites that modulate immune system development and investigate their mechanisms of action. We believe that better understanding of human immune development will help us develop new interventions that optimise this process and reduce risks of disease in all children in the future. Importantly, key microbial metabolites found in human newborns might also have potential as immunomodulatory agents beyond childhood, for example in adult patients with inflammatory diseases. Here I propose to combine the richness of a human birth cohort, with the potential of well-controlled in vitro systems to explore mechanisms by which microbial metabolites can modulate human immune systems.","plannedDates":[{"endDate":"2029-06-30T00:00:00+00:00","startDate":"2023-07-01T00:00:00+00:00"}],"amountAwarded":3948802,"Financial Year":"2022/23","Lead Applicant":"Prof Petter Brodin","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Brodin","Approval Committee":"DSV Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":3948802},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-226669_Z_22_Z","data":{"id":"360G-Wellcome-226669_Z_22_Z","title":"Breadth of IgG Fc antibody-mediated protective immunity against Plasmodium falciparum malaria in humans (BigFc)  ","Region":"London","currency":"GBP","awardDate":"2023-01-24T00:00:00+00:00","Internal ID":"226669/Z/22/Z","description":"The global burden of malaria remains unacceptable with >200 million cases and >600,000 deaths annually. Vaccines are the most effective and cost-effective public health interventions against infectious diseases, but the only one licensed for malaria has limited efficacy that wanes rapidly. The fact immunity can be acquired and passively transferred through immunoglobulins strongly motivates research to understand the immune responses that underpin protection. New data from the Osier laboratory challenge the long-held view that the inhibition of erythrocyte invasion is the main correlate of protection. We found that IgG Fc-dependent mechanisms targeting merozoites and involving complement, monocytes, neutrophils, and natural killer cells strongly predicted clinical outcome following intravenous challenge with Plasmodium falciparum parasites in humans. Invasion-inhibition did not. We will now partner with a renown structural biologist, B-cell immunologist, and experts in glycobiology and Fcγ receptor pathways to map out the precise structural and fine molecular characteristics that lead to the successful control of malaria. We will use this knowledge to design and test new vaccine constructs and monoclonal antibody therapies. These data will transform our understanding of acquired immunity, provide urgently needed candidates for new vaccines and immuno-therapeutics, and create new benchmarks against which these can be assessed.","plannedDates":[{"endDate":"2031-06-30T00:00:00+00:00","startDate":"2023-07-01T00:00:00+00:00"}],"amountAwarded":4988099,"Financial Year":"2022/23","Lead Applicant":"Prof Faith H A Osier","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Osier","Approval Committee":"DSV Interview Panel","Other Applicant(s)":"Prof Hedda Wardemann, Prof Matthew K Higgins","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":4988099},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-226727_Z_22_Z","data":{"id":"360G-Wellcome-226727_Z_22_Z","title":"Vaccine Impact Modelling Consortium (VIMC 2.0) research programme on climate change and vaccine-preventable diseases  ","Region":"London","currency":"GBP","awardDate":"2022-09-30T00:00:00+00:00","Internal ID":"226727/Z/22/Z","description":"The Vaccine Impact Modelling Consortium (VIMC) was founded in 2016 to deliver a more sustainable, efficient, and transparent approach to generating disease burden and vaccine impact estimates. This grant will enable VIMC to better assess the implications of climate change for vaccination strategy, with a focus on low- and middle-income countries (LMICs). Two interlinked research strands will: (a) assess the long-term impacts of climate change on disease range, burden and strategic implications for vaccine strategy and stockpiling; (b) examine how climate drives seasonal variation in disease transmission and burden, the impacts of increasingly frequent extreme climate events for disease burden, and model optimal prophylactic or reactive vaccination campaigns for mitigation. Programmatic research priorities will be informed by consultation with the VIMC stakeholder network. We will prioritise five climate-sensitive infections – malaria, dengue, yellow fever, cholera, and meningitis. The research will be collaborative with academic partners in LMICs most affected by these infections. It will also be cross-fertilizing between disease areas, developing generic inferential and projection platforms, software, and data resources. In addition, the grant will support capacity- strengthening via the recruitment of two foundational VIMC modelling groups from sub-Saharan Africa with expertise in health economic, operational, climate and/or geospatial modelling.","plannedDates":[{"endDate":"2027-08-31T00:00:00+00:00","startDate":"2022-09-01T00:00:00+00:00"}],"amountAwarded":3120676,"Financial Year":"2021/22","Lead Applicant":"Prof Neil Morris Ferguson","grantProgramme":[{"title":"Discretionary Award"}],"Applicant Surname":"Ferguson","Approval Committee":"Internal Decision Panel","Other Applicant(s)":"Sophia Hafeez, Ms Kim Woodruff, Dr Ilaria Dorigatti, Dr Katy Gaythorpe, Prof Caroline Trotter, Dr Lucy C Okell, Dr Thomas S Churcher, Dr Peter Winskill","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":3120676},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-226890_Z_23_Z","data":{"id":"360G-Wellcome-226890_Z_23_Z","title":"Open Access Award 2022/23  ","Region":"London","currency":"GBP","awardDate":"2023-09-30T00:00:00+00:00","Internal ID":"226890/Z/23/Z","description":"No description available","plannedDates":[{"endDate":"2023-12-31T00:00:00+00:00","startDate":"2022-10-01T00:00:00+00:00"}],"amountAwarded":317198,"Financial Year":"2022/23","Lead Applicant":"Prof Hugh Brady","grantProgramme":[{"title":"Open Access Award"}],"Applicant Surname":"Brady","Approval Committee":"Internal Decision Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":317198},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-227076_Z_23_Z","data":{"id":"360G-Wellcome-227076_Z_23_Z","title":"Development and evaluation of a clinical decision support tool for serious bacterial infection in neonates in Southern Africa  ","Region":"London","currency":"GBP","awardDate":"2023-03-28T00:00:00+00:00","Sponsor(s)":"Prof Aubrey Cunnington, Dr Shungu Munyati","Internal ID":"227076/Z/23/Z","description":"Neonatal bacterial infections are an important cause of morbidity and mortality in low-resource settings (LRS). Accurate identification of those needing treatment while avoiding unnecessary antibiotics in those who do not is crucial. Features used to identify neonates with risk factors for, or clinical features of possible serious bacterial infections (PSBI) in international guidelines merit re-evaluation, due to a massive shift to facility-based deliveries in LRS and a changing spectrum of pathogens. I plan to reassess methods for identifying neonates with, and at risk of PSBI in LRS, to derive a patient-centred, contextually appropriate decision-support tool. I will assess contextual influences on clinician decision-making e.g. resource availability, and seek families’ opinions of risk trade-offs in clinical decision-making about PSBI in Zimbabwe. I will use national neonatal electronic healthcare records to prospectively evaluate features and risk factors for PSBI across a Zimbabwean province, with senior clinician diagnosis of PSBI and/or positive microbiology as the primary outcome. I will use machine learning to develop and externally validate a clinical prediction model. Qualitative data be incorporated into the model to develop a clinical decision-support tool to triage neonates into high/moderate/low risk. I will pilot the tool in preparation for large-scale evaluation after this Fellowship.","plannedDates":[{"endDate":"2028-06-30T00:00:00+00:00","startDate":"2023-07-01T00:00:00+00:00"}],"amountAwarded":1212057.62,"Financial Year":"2022/23","Lead Applicant":"Dr Felicity Fitzgerald","grantProgramme":[{"title":"Early-Career Award"}],"Applicant Surname":"Fitzgerald","Approval Committee":"ECA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":"1212057.62"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-227191_Z_23_Z","data":{"id":"360G-Wellcome-227191_Z_23_Z","title":"Effects of extreme heat on maternal, placental and fetal physiology, lactation and newborn health in India  ","Region":"London","currency":"GBP","awardDate":"2023-02-01T00:00:00+00:00","Internal ID":"227191/Z/23/Z","description":"Pregnant women from socioeconomically disadvantaged populations living in tropical climates are most vulnerable to the effects of climate change. Extreme heat has been linked to preterm birth, fetal growth restriction, stillbirth and preeclampsia. We aim to describe how extreme heat leads to these outcomes by studying in detail heat exposure and physiological responses in women across India. Our study involves three linked activities. We will use the Garbh-Ini retrospective cohort (10 000 mother-baby pairs) to identify biomarkers and clinical factors associated with heat exposure and adverse outcomes. We will also describe how the fetal heart rate changes with heat exposure by studying a large database of 110 000 antenatal fetal heart traces recorded across India. These findings will inform a prospective, matched cohort study of 600 women vulnerable to heat stress across three different climate zones. Using state-of-the-art climate, imaging and laboratory diagnostics, we will study how heat exposures affect maternal, placental, fetal and lactational function. We will capture women’s lived experiences with heat, identifying opportunities for local heat adaptation. As findings emerge, we will bring together policymakers, researchers, clinicians and people living with heat to develop practical policies and actions that will protect women and their babies.","plannedDates":[{"endDate":"2028-12-31T00:00:00+00:00","startDate":"2024-01-01T00:00:00+00:00"}],"amountAwarded":319301,"Financial Year":"2022/23","Lead Applicant":"Prof Jane Elizabeth Hirst","grantProgramme":[{"title":"Directed Call"}],"Applicant Surname":"Hirst","Approval Committee":"Heat Physiology Call Advisory Committee","Other Applicant(s)":"Dr Devarsetty Praveen, Prof Fadil M Hannan, Dr Ramachandran Thiruvengadam, Prof Vidhya Venugopal, Prof Basky Thilaganathan, Dr Stalin Prabakaran, Prof Sagnik Dey, Dr Aris T Papageorghiou, Prof Mark Woodward, Dr Pallavi Kshetrapal, Prof Shinjini Bhatnagar, Prof Manu Vatish","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":319301},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-227236_Z_23_Z","data":{"id":"360G-Wellcome-227236_Z_23_Z","title":"Investigation into the impact of mast cell activation on the vasculature during chronic lung diseases  ","Region":"London","currency":"GBP","awardDate":"2023-05-16T00:00:00+00:00","Sponsor(s)":"Prof Clare Lloyd","Internal ID":"227236/Z/23/Z","description":"Chronic lung diseases such as asthma and COPD are a major health problem in the UK with an estimated 1/5 people impacted by one form of lung disease and this number is predicted to increase in the next decade. One underestimated impact of respiratory disease is the effect of chronic inflammation on the crucial network of blood vessels in the lungs. During my previous projects and fellowship, I discovered that mast cells (MCs), a type of immune cell, play a vital role during vascular inflammation and can modulate function of pericytes, the structural components of the vascular wall. The importance of this interaction in the lungs, where MCs and pericytes are abundant, remains to be investigated. My proposed project, combining mouse models, human samples, spatial transcriptomics, and 3D analysis of blood vessels will shed new light on this important question. I will investigate how the hyperactivation of MCs leads to pericyte loss, and how this impacts lung vascular function. Furthermore, this transdisciplinary proposal will identify MC-derived factors such as proteases as potential therapeutic targets. In summary, my project will develop strategies to prevent pericyte dysfunction and further prevent respiratory and vascular disorders during chronic lung diseases.","plannedDates":[{"endDate":"2032-01-11T00:00:00+00:00","startDate":"2024-01-12T00:00:00+00:00"}],"amountAwarded":1903191,"Financial Year":"2022/23","Lead Applicant":"Dr Régis Joulia","grantProgramme":[{"title":"Career Development Award"}],"Applicant Surname":"Joulia","Approval Committee":"CDA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":1903191},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-227769_Z_23_Z","data":{"id":"360G-Wellcome-227769_Z_23_Z","title":"A molecular understanding of homologous recombination in the context of chromatin  ","Region":"London","currency":"GBP","awardDate":"2023-09-12T00:00:00+00:00","Internal ID":"227769/Z/23/Z","description":"Maintaining genome stability and integrity is an essential and challenging cellular process. Homologous recombination (HR) is a major DNA repair pathway while during the highly related meiotic recombination (MR), parental chromosomes exchange and recombine. HR and MR thus play paradoxically distinct roles in maintaining genome stability while promoting genetic diversity. At the heart of HR/MR is the RAD51 recombinase, which forms nucleoprotein filaments to search and pair with homologous DNA sequences, leading to repair or recombination. The function of RAD51 is carefully modulated by partner proteins. Thus far, our mechanistic understanding of HR/MR is limited, especially with partner proteins and in the context of chromatin. This is in part due to the challenges in purifying proteins and associated complexes for structural studies, and in making nucleosomes and arrays. Significantly, RAD51 forms clusters (foci) upon double-strand breaks which disappear after repair. It is unclear what are within these foci and how HR is carried out in cells. I am proposing an ambitious program combining in vitro structural and mechanistic studies with in situ imaging, to provide a molecular understanding of RAD51 and HR and advance our mechanistic understanding of DNA repair, which will also help our understanding of meiotic recombination.","plannedDates":[{"endDate":"2031-12-31T00:00:00+00:00","startDate":"2024-01-01T00:00:00+00:00"}],"amountAwarded":3696907,"Financial Year":"2022/23","Lead Applicant":"Prof Xiaodong Zhang","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Zhang","Approval Committee":"DSV Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":3696907},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-227779_Z_23_Z","data":{"id":"360G-Wellcome-227779_Z_23_Z","title":"Climate Change Resilient Equitable Healthy Cities in Africa (CLARITY-Africa)  ","Region":"London","currency":"GBP","awardDate":"2023-06-30T00:00:00+00:00","Internal ID":"227779/Z/23/Z","description":"Our programme aims to generate novel transdisciplinary knowledge and trigger policies and practices that enhance resilience and adaptive capacity to the health effects of climate change in Africa’s cities. We treat equity as an essential component of climate adaptation, because inequalities are unjust and hinder sustainable development. In partnership with policy and societal partners in four cities in Africa, we will co-produce novel and transformative knowledge on how climate change affects environmental risk exposures, and who are vulnerable to these risks. We will identify existing and new technologies, infrastructures, policies and practices that can enhance resilience and support adaptation to climate-change-induced health risks, and evaluate their feasibility, efficacy, enablers and equity in our focal cities. We will significantly strengthen individual and institutional capability for world- class climate change and health translational research and practice in Africa by mentoring early-career researchers, generating and disseminating learning materials for students and practitioners, and incorporating climate and health research in African Urban Research Initiative hubs. We will also create an interoperable and updatable open-access data platform to monitor inequalities in climate-change health risks and vulnerabilities in Africa’s cities. These steps will generate transformative Africa-led knowledge and policy impact beyond the lifecycle of the programme.","plannedDates":[{"endDate":"2030-09-30T00:00:00+00:00","startDate":"2024-10-01T00:00:00+00:00"}],"amountAwarded":6369460,"Financial Year":"2022/23","Lead Applicant":"Prof Majid Ezzati","grantProgramme":[{"title":"Directed Call"}],"Applicant Surname":"Ezzati","Approval Committee":"Climate Research Partnerships Advisory Committee","Other Applicant(s)":"Prof Susan M Parnell, Prof Nkechi Srodah Owoo, Dr Ghafi Victoire or Vicky KONDI AKARA, Dr Mouhamadou Bamba Sylla, Prof Samuel Agyei-Mensah, Prof Frans Berkhout, Dr Michael Templeton, Dr Amy Weimann, Dr Raphael E Arku, Prof Wouter Buytaert, Dr Robert (Bob) O. Manteaw, Prof George Owusu, Prof Jill Baumgartner, Dr Daniela Fecht, Dr Warren Smit, Prof Wilfred Ndifon, Dr Liza Rose Cirolia","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":6369460},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-227795_Z_23_Z","data":{"id":"360G-Wellcome-227795_Z_23_Z","title":"Harnessing nutrient metabolism by the gut microbiota to restrict the intestinal colonisation with multidrug-resistant pathogens  ","Region":"London","currency":"GBP","awardDate":"2023-09-05T00:00:00+00:00","Sponsor(s)":"Prof Daniel Davis","Internal ID":"227795/Z/23/Z","description":"The intestine is the primary colonisation site for multidrug-resistant (MDR) pathogens and acts as a reservoir of pathogens that seed difficult-to-treat invasive infections. Methods to remove the intestinal reservoir of MDR pathogens are urgently needed. The healthy gut microbiota protects against pathogen colonisation via colonisation resistance (e.g. nutrient competition and metabolite inhibition). However, antibiotics disrupt colonisation resistance and promote MDR pathogen colonisation. Our aim is to predict and restrict MDR pathogen intestinal colonisation by manipulating the nutrient- and metabolite-defined niches occupied by MDR pathogens. Our objectives are: (1) to define the nutrient utilisation abilities and metabolite inhibition susceptibilities of MDR pathogens and gut commensals, (2) to investigate how MDR pathogens occupy nutrient-enriched and metabolite-depleted intestinal niches; (3) to predict the impact of excluding microbial functional groups on MDR pathogen colonisation, and (4) to manipulate nutrient metabolism by the gut microbiota to protect against MDR pathogen colonisation. This proposal will deliver a significant shift in the field by establishing that we can predict and control MDR pathogen colonisation within the intestine by modifying nutrient- and metabolite-defined intestinal niches using synthetic bacterial consortia. This project will lay the groundwork to design effective microbiome therapeutics to prevent or restrict MDR pathogen intestinal colonisation.","plannedDates":[{"endDate":"2032-04-07T00:00:00+00:00","startDate":"2024-04-08T00:00:00+00:00"}],"amountAwarded":2683001,"Financial Year":"2022/23","Lead Applicant":"Dr Julie A. K. McDonald","grantProgramme":[{"title":"Career Development Award"}],"Applicant Surname":"McDonald","Approval Committee":"CDA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":2683001},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-228081_Z_23_Z","data":{"id":"360G-Wellcome-228081_Z_23_Z","title":"Machine Learning and Global Health Workshop (ICLR)  ","Region":"London","currency":"GBP","awardDate":"2023-09-30T00:00:00+00:00","Internal ID":"228081/Z/23/Z","description":"The Machine Learning and Global Health Network are hosting a workshop at the International Conference of Learning Representation (ICLR 2023). ICLR is recognised as the top conference in deep learning and its applications and this year will be hosted in Kigali Rwanda. This is the first time ICLR has been hosted in Africa and it presents a unique opportunity for knowledge exchange and co-production with a truly international group of researchers. Our workshop aims to encapsulate the diversity of Machine Learning in Global Health by inviting speakers, papers and poster talks from researchers working across LMIC’s as well as government, industry and academic representatives, in-person, during the week-long ICLR conference. We are requesting sponsorship to support the travel awards for: 6 paper submissions and 1 organiser from LMIC’s alongside 10 local students, a total amount of £10K. Without this generous support, the high entry cost of attending a conference such as ICLR will not be possible for all our community. Not only does this have an immediate detrimental effect on those individuals unable to participate, but also the network is at a loss for voices and perspectives which often represent the places where health challenges are being addressed.","plannedDates":[{"endDate":"2023-05-24T00:00:00+00:00","startDate":"2023-04-25T00:00:00+00:00"}],"amountAwarded":10000,"Financial Year":"2022/23","Lead Applicant":"Mr Giovanni Charles","grantProgramme":[{"title":"Discretionary Award"}],"Applicant Surname":"Charles","Approval Committee":"Internal Decision Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":10000},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-228185_Z_23_Z","data":{"id":"360G-Wellcome-228185_Z_23_Z","title":"Reconstructing the transmission intensity of arboviruses across Africa and the impact of interventions in a changing climate  ","Region":"London","currency":"GBP","awardDate":"2023-09-30T00:00:00+00:00","Internal ID":"228185/Z/23/Z","description":"There is an urgent need to understand the past, current, and future transmission of arboviruses for preparedness and response planning, and to inform the optimal implementation of existing and novel interventions globally and across Africa. To achieve this, we need to reconstruct the immunity profile of the population, which is a key driver of arbovirus transmission dynamics. Age-stratified seroprevalence surveys are among the best surveillance tools to estimate the population age-dependent susceptibility to infection. Despite this, due to costs, and lack of resources and infrastructure, only 17 age-stratified dengue seroprevalence surveys have been conducted across Africa to date. Building on the SERODEN project in Ghana, Senegal and DRC, we propose to expand testing of existing blood samples from recent serosurveys conducted across Africa for pathogens other than arboviruses, to assess the seroprevalence of at least 11 arboviruses using a validated and standardised Luminex assay. We will develop new mathematical models and R packages to facilitate the interpretation of the results obtained with the Luminex assay and generate force of infection estimates across hundreds of locations, which will be used to validate and refine current burden estimates and to assess the potential impact of interventions under the current and changing climate.","plannedDates":[{"endDate":"2028-03-31T00:00:00+00:00","startDate":"2024-10-01T00:00:00+00:00"}],"amountAwarded":2072800,"Financial Year":"2022/23","Lead Applicant":"Dr Ilaria Dorigatti","grantProgramme":[{"title":"Discretionary Award"}],"Applicant Surname":"Dorigatti","Approval Committee":"Internal Decision Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":2072800},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-228269_Z_23_Z","data":{"id":"360G-Wellcome-228269_Z_23_Z","title":"Support tools to enhance participants retention in mental health clinical trials  ","Region":"London","currency":"GBP","awardDate":"2023-09-30T00:00:00+00:00","Internal ID":"228269/Z/23/Z","description":"Mental health clinical trials face a range of challenges that necessitate innovative solutions. Participant retention is hindered by issues like loss of follow-up, particularly due to limited interaction between researchers and participants. Trial design complexities arise from the diversity of mental health conditions, necessitating adaptable methodologies. Addressing these challenges requires collaborative efforts, innovative engagement strategies, and improved participant support mechanisms. Our solution serves as a digital hub that facilitates seamless interaction between researchers, participants, and healthcare organisations. These platforms offer a range of essential functionalities, from enhancing participant retention and engagement to providing valuable support throughout clinical trials. By integrating user- friendly interfaces, our platform empowers researchers to design trials with participant-centric features, improving the likelihood of retention. This interface enables participants to easily register their interest, access trial information, and receive updates on their progress. Furthermore, our platform, equipped with machine learning capabilities, can suggest suitable trials based on individual information, optimising the participant-researcher matching process. Incorporating two-way communication, our solution fosters engagement by enabling participants to provide feedback, ask questions, and access resources. They act as valuable conduits for sharing research outcomes in layman's terms, promoting transparency and participant involvement.","plannedDates":[{"endDate":"2025-08-31T00:00:00+00:00","startDate":"2024-04-01T00:00:00+00:00"}],"amountAwarded":100000,"Financial Year":"2022/23","Lead Applicant":"Prof Payam Barnaghi","grantProgramme":[{"title":"Discretionary Award"}],"Applicant Surname":"Barnaghi","Approval Committee":"Wellcome Data Science Ideathon","Other Applicant(s)":"Dr Samaneh Kouchaki, Dr Yu Chen, Prof Dr Ramin Nilforooshan","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":100000},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-228271_Z_23_Z","data":{"id":"360G-Wellcome-228271_Z_23_Z","title":"Leveraging forecasts to optimise decision making  ","Region":"London","currency":"GBP","awardDate":"2023-09-30T00:00:00+00:00","Internal ID":"228271/Z/23/Z","description":"The COVID-19 pandemic underscored the need for epidemic forecasts to guide policy decisions on resource allocation, public health measures, and risk communication. However, deriving outputs from epidemic forecasts that provide answers to the questions that public health practitioners and policy makers actually have is not commonly done. Additionally, historical forecasts are frequently not openly accessible for forecast performance to be evaluated, which makes it harder for policymakers looking to gauge the reliability and trustworthiness of a forecast and determine the extent to which its predictions should influence subsequent public-health decisions. Our proposal aims to close the interpretability gap that precludes optimal use of epidemic forecasts. We will first conduct a series of structured interviews with public health practitioners and external stakeholders to better define unmet needs around epidemic forecasting and identify common policy-relevant needs. Secondly, we will develop a software package and web-based tool aimed at enabling policymakers, especially in contexts where technical capacity is limited, to better understand, interpret and action epidemic forecasts. Our vision is to develop a computational tool to retrospectively assess forecast accuracy, defining accuracy based on policy-relevant derived statistics identified from our initial interviews, and transform them into interpretable and actionable information.","plannedDates":[{"endDate":"2025-05-01T00:00:00+00:00","startDate":"2024-05-02T00:00:00+00:00"}],"amountAwarded":79635,"Financial Year":"2022/23","Lead Applicant":"Dr Oliver John Watson","grantProgramme":[{"title":"Discretionary Award"}],"Applicant Surname":"Watson","Approval Committee":"Wellcome Data Science Ideathon","Other Applicant(s)":"Dr Lilith Whittles, Mr Giovanni Charles, Dr Charles Whittaker","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":79635},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-301619_Z_23_Z","data":{"id":"360G-Wellcome-301619_Z_23_Z","title":"Allosteric modulation of class B1 GPCRs via cholesterol binding sites  ","Region":"London","currency":"GBP","awardDate":"2024-01-25T00:00:00+00:00","Internal ID":"301619/Z/23/Z","description":"Class B1 GPCRs are key targets for prevalent diseases, but existing peptide drugs targeting these receptors have limitations that urge the development of novel small molecules, particularly of allosteric modulators with greater potential to fine-tune receptor outputs. GPCR-cholesterol binding sites represent a large, untapped opportunity for allosteric drug development. However, they remain largely intractable due to poor understanding of site architectures related to challenges with their computational, structural, and functional modelling. Here, we present novel in silico predictions of cholesterol binding sites on two class B1 GPCRs, the glucagon-like peptide-1 receptor (GLP-1R) and the glucagon receptor (GCGR), with critical roles in glucose and energy homeostasis, and major targets for obesity-associated metabolic diseases. We also present evidence on the functional effects of mutating a predicted GLP-1R-cholesterol binding site residue, demonstrating the potential to modulate receptor outputs by modifying receptor-cholesterol interactions. We hereby propose to use a multidisciplinary approach encompassing cutting-edge techniques and emerging methodologies to fully resolve the locations and functional significance of cholesterol binding sites on both receptors. Our project will produce fundamental new knowledge of great value for future design of better GLP-1R/GCGR-targeting drugs to treat diseases such as obesity, type 2 diabetes, and metabolic associated fatty liver disease.","plannedDates":[{"endDate":"2032-09-30T00:00:00+00:00","startDate":"2024-10-01T00:00:00+00:00"}],"amountAwarded":3103912,"Financial Year":"2023/24","Lead Applicant":"Prof Alejandra Tomas","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Tomas","Approval Committee":"DSV Interview Committee","Other Applicant(s)":"Christian Siebold, Dr Ben Jones, Prof Christian Siebold, Dr Sarah L Rouse, Dr Emma Rose McGlone, Prof Edward W Tate, Dr Jorge Bernardino de la Serna","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":3103912},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-302213_Z_23_Z","data":{"id":"360G-Wellcome-302213_Z_23_Z","title":"Defining viral and human determinants of Dengue virus susceptibility  ","Region":"London","currency":"GBP","awardDate":"2024-01-18T00:00:00+00:00","Sponsor(s)":"Prof Wendy Barclay","Internal ID":"302213/Z/23/Z","description":"Dengue virus (DNV) is the world leading mosquito-borne virus and a WHO- priority. With 390 million annual infections, climate change risks infections of naïve populations and spillovers from their macaque natural reservoir. Yet no effective treatments are available. DNV infection causes asymptomatic to severe outcomes with 20% mortality. However, the viral and cellular determinants of dengue outcome remain poorly understood. Restriction factors are proteins that constitute the first line of antiviral defense with major roles in health and disease. In this award, I hypothesize that restriction factors are major determinants of dengue outcome and host range. My preliminary data revealed that 264 restriction factors execute DNV antiviral control in primary human immune cells. We will now 1) Investigate how these restriction factors control DNV replication using computational, virological, and biochemical assays, 2) Identify viral signatures of pathogenicity that enable restriction factor evasion, 3) Define genetic variants in restriction factors present in active cohorts of mild and severe dengue patients, and 4) Identify restriction factors that influence DNV host range using human and macaque ex vivo models. These results will lead to a significant shift in our understanding of DNV immunopathogenesis to inform biomarkers of severity, surveillance, and much needed therapeutics.","plannedDates":[{"endDate":"2029-09-08T00:00:00+00:00","startDate":"2024-09-09T00:00:00+00:00"}],"amountAwarded":1968095.68,"Financial Year":"2023/24","Lead Applicant":"Dr Laura Martin-Sancho","grantProgramme":[{"title":"Career Development Award"}],"Applicant Surname":"Martin-Sancho","Approval Committee":"CDA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":"1968095.68"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-304926_Z_23_Z","data":{"id":"360G-Wellcome-304926_Z_23_Z","title":"Epidemiological and functional dissection of the co-evolution between Plasmodium falciparum parasites and sickle haemoglobin.  ","Region":"London","currency":"GBP","awardDate":"2024-05-31T00:00:00+00:00","Internal ID":"304926/Z/23/Z","description":"The \"sickle\" mutation (HbS; rs334 A>T) in the beta-globin gene (HBB) is the strongest known cause of natural resistance to Plasmodium falciparum malaria. While many mechanisms have been proposed to explain this protection, a recent paradigm-shifting study suggests that these should now be revisited. Through a large case-control study of severe malaria, we discovered that parasites could escape the protective effect of HbS if they carried mutations at specific P. falciparum sickle-associated (Pfsa) genetic loci. Such mutations are common in many African parasite populations, presumably due to HbS-driven natural selection, but the mechanisms by which they allow parasites to evade the protective effects of HbS remain completely unknown. We will discover these functional mechanisms by bringing together an interdisciplinary team of experts from Kenya and the UK to use epidemiological, population-genetic, multi-omic, parasite gene-editing and parasite phenotyping approaches to answer this fundamental question about host-pathogen co-evolution and human malaria resistance. Simultaneously, we will contribute to the development of science in Africa through shared leadership, the training of students, joint working, and technology transfer.","plannedDates":[{"endDate":"2032-02-29T00:00:00+00:00","startDate":"2025-03-01T00:00:00+00:00"}],"amountAwarded":4499457,"Financial Year":"2023/24","Lead Applicant":"Prof Thomas N Williams","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Williams","Approval Committee":"DSV Interview Committee","Other Applicant(s)":"Dr Sophie Uyoga, Prof Julian C Rayner, Prof Abdirahman I Abdi, Prof Alexandra Rowe, Dr Gavin Band, Prof Lynette Isabella Oyier","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":4499457},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-308722_Z_23_Z","data":{"id":"360G-Wellcome-308722_Z_23_Z","title":"Open Access Award 2024  ","Region":"London","currency":"GBP","awardDate":"2024-01-19T00:00:00+00:00","Internal ID":"308722/Z/23/Z","description":"No description available","plannedDates":[{"endDate":"2024-12-31T00:00:00+00:00","startDate":"2024-01-01T00:00:00+00:00"}],"amountAwarded":280046,"Financial Year":"2023/24","Lead Applicant":"Prof Hugh Brady","grantProgramme":[{"title":"Open Access Award"}],"Applicant Surname":"Brady","Approval Committee":"Open Access Block Award recommendation meeting","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":280046},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-308778_Z_23_Z","data":{"id":"360G-Wellcome-308778_Z_23_Z","title":"Elucidating monocyte-specific disease mechanisms in systemic lupus erythematosus  ","Region":"London","currency":"GBP","awardDate":"2024-07-31T00:00:00+00:00","Sponsor(s)":"Prof Matthew Pickering","Internal ID":"308778/Z/23/Z","description":"Systemic lupus erythematosus (SLE) is a devastating autoimmune disease that disproportionally affects young women, particularly those from ethnic minority groups. Lupus nephritis (LN), the commonest organ-threatening manifestation of SLE, develops in 50% of patients and, without effective treatment, frequently leads to kidney failure. Current treatments (typically targeting autoantibody- producing B-cells) are inadequate, achieving sustained remission in fewer than 50% of patients. Targeting monocytes/macrophages, the key effector cells that drive kidney damage in LN, may represent a more effective strategy. Genome- wide association studies (GWAS) can help identify molecular pathways that contribute to human diseases, providing better therapeutic targets than those without genetic support. GWAS have identified ~170 genetic loci that predispose to SLE, several of which I have shown are specifically functional in monocytes/macrophages. I will investigate the SLE-associated haplotype on chr6p21, which is robustly associated with SLE across ancestries, and which increases expression of an uncharacterised gene, UHRF1BP1, in monocytes/macrophages. My preliminary work suggests that UHRF1BP1 regulates the type-I interferon(IFN-I) response in monocytes, a pathway important in SLE pathogenesis. Using clinically-relevant experimental conditions and epigenetic analysis/genome editing technologies in primary human monocytes, I will characterise the role of UHRF1BP1 and assess whether this represents a target for monocyte-directed LN treatment.","plannedDates":[{"endDate":"2030-08-03T00:00:00+00:00","startDate":"2025-08-04T00:00:00+00:00"}],"amountAwarded":893097,"Financial Year":"2023/24","Lead Applicant":"Dr Tabitha Jenny Turner-Stokes","grantProgramme":[{"title":"Early-Career Award"}],"Applicant Surname":"Turner-Stokes","Approval Committee":"ECA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":893097},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-310835_Z_24_Z","data":{"id":"360G-Wellcome-310835_Z_24_Z","title":"Dynamic 3D super-resolution ultrasound imaging of micro-circulation and genetically encoded acoustic reporters in vivo  ","Region":"London","currency":"GBP","awardDate":"2024-07-08T00:00:00+00:00","Internal ID":"310835/Z/24/Z","description":"Our vision is to generate a powerful yet highly accessible in vivo imaging platform, enabling non-invasive whole-body microscopy of tissue microcirculation and cellular and molecular biomarkers. Ultrasound is ideally suited to dynamic in vivo imaging due to its deep penetration and high temporal resolution. However, historically it lacked the ability to visualize molecular and cellular biomarkers, its spatial resolution is diffraction limited, and dynamic 3D imaging has numerous challenges. We have assembled a team of complementary expertise capable of addressing these challenges. We have developed 1) in vivo super-resolution ultrasound (SRUS) which has overcome the classical diffraction limit and enabled microscopic resolution, and 2) ultrafast 3D ultrasound. In parallel our collaborator developed the first acoustic reporter genes and acoustic biosensors based on a unique class of air-filled proteins called gas vesicles that scatter sound waves, offering sensitivity and specificity for acoustic imaging of molecular and cellular targets. We will develop whole-body SRUS technologies based on a new class of transducers and advanced computing as well as acoustic reporters and demonstrate in vivo dynamic mapping of cells and disease biomarkers. If successful, this project will enable imaging of currently inaccessible physiology and molecular and cellular biology in rodents in vivo.","plannedDates":[{"endDate":"2026-07-01T00:00:00+00:00","startDate":"2025-01-02T00:00:00+00:00"}],"amountAwarded":504841,"Financial Year":"2023/24","Lead Applicant":"Prof Mengxing Tang","grantProgramme":[{"title":"Bioimaging Technology Development Award"}],"Applicant Surname":"Tang","Approval Committee":"Decision - Directed call - Bioimaging","Other Applicant(s)":"Prof Mikhail Shapiro, Prof Gavin A Bewick, Dr David T Riglar, Prof Kevin G Murphy","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":504841},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-311370_Z_24_Z","data":{"id":"360G-Wellcome-311370_Z_24_Z","title":"Optical Oscilloscope: Real-time, High-throughput, Volumetric Voltage Imaging  ","Region":"London","currency":"GBP","awardDate":"2024-07-08T00:00:00+00:00","Internal ID":"311370/Z/24/Z","description":"Subthreshold voltage conveys information about neuronal connectivity, network and neuromodulatory states critical to understanding brain circuit function and dysfunction. Unlike spiking which can be monitored by calcium imaging and electrode arrays, no existing methods track subthreshold voltage fluctuations at network scale. Multiphoton scanning modalities used to mitigate brain tissue scattering collect fluorescence too slowly to resolve small, fast voltage signals at network scale. Our goal is to develop network-scale, volumetric voltage imaging capability based on light-field microscopy (LFM). LFM enables scanless, light-efficient volume acquisition, but its degradation by light scattering and computational complexity hinder its adaptation for network-scale voltage imaging. We will overcome these limitations through a new generation of optics-aware, computationally efficient deep neural networks (DNNs) that will extract neuronal voltage signals from scattering-corrupted light fields. We will train the DNNs with kilohertz-rate light-field videos and scattering-robust scanned two-photon volumes. We will implement the DNNs in a field-programmable gate array for real-time voltage readout to enable closed-loop experiments. Our Optical Oscilloscope bridges the gap between existing techniques and the need for network-scale voltage imaging in neuroscience research. Keywords: membrane voltage, neuroimaging, light-field microscopy, 3D imaging, real-time image processing, neural circuits, neural dynamics, machine learning, interpretable deep learning","plannedDates":[{"endDate":"2026-06-30T00:00:00+00:00","startDate":"2024-10-28T00:00:00+00:00"}],"amountAwarded":459990,"Financial Year":"2023/24","Lead Applicant":"Dr Amanda J Foust","grantProgramme":[{"title":"Bioimaging Technology Development Award"}],"Applicant Surname":"Foust","Approval Committee":"Decision - Directed call - Bioimaging","Other Applicant(s)":"Prof Christos Bouganis, Prof Pier Luigi Dragotti, Dr Samuel J Barnes","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":459990},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-312034_Z_24_Z","data":{"id":"360G-Wellcome-312034_Z_24_Z","title":"Uncovering the Principles of Brain-Computer Interface Learning  ","Region":"London","currency":"GBP","awardDate":"2024-10-15T00:00:00+00:00","Sponsor(s)":"Prof Claudia Clopath","Internal ID":"312034/Z/24/Z","description":"Brain-Computer Interfaces (BCIs) read neural activity to infer the user’s intent and use it to control effectors, enabling communication through thought. Therefore, BCIs offer a unique opportunity to restore function to patients with movement and even cognitive/affective conditions. Despite growing interest and investment in BCIs, most efforts are directed towards improving decoder algorithms, while little is understood about how the brain learns to control BCIs. Does learning occur locally, via plasticity in the targeted area, or globally, through interactions across a multi-region network? Here, I address this question by reading neural activity from the striatum. Neuropixels probes allow recording from both the striatum and multiple upstream cortical areas during BCI learning. First, I will build a biologically plausible, data-constrained model of the corticostriatal circuit by fitting neural activity (electrophysiology and dopamine photometry) and examine different mechanisms of BCI learning. Then, I will evaluate the model’s predictions in a series of novel mouse BCI experiments, specifically designed to distinguish between local and global BCI learning. Overall, this hypothesis-driven approach will not only elucidate the neural mechanisms of BCI learning, but will also inspire innovation in BCI design, informing next- generation clinical applications.","plannedDates":[{"endDate":"2030-03-31T00:00:00+00:00","startDate":"2025-04-01T00:00:00+00:00"}],"amountAwarded":792855.42,"Financial Year":"2024/25","Lead Applicant":"Dr Mostafa Safaie","grantProgramme":[{"title":"Early-Career Award"}],"Applicant Surname":"Safaie","Approval Committee":"ECA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":"792855.42"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-313665_Z_24_Z","data":{"id":"360G-Wellcome-313665_Z_24_Z","title":"Understanding the Role of Adipogenesis in Clonal Haematopoiesis and Progression to MDS  ","Region":"London","currency":"GBP","awardDate":"2024-09-04T00:00:00+00:00","Internal ID":"313665/Z/24/Z","description":"Clonal Haematopoiesis (CH) is an age-associated expansion of mutated Haematopoietic stem cells (HSCs) within the bone marrow (BM). CH is considered a pre-malignant state with a risk of progressing to haematological malignancies such as myelodysplastic syndrome (MDS), which poses a 25% risk of developing into acute myeloid leukaemia (AML). HSCs reside in specialised niches within the bone marrow (BM) where various cell types such as mesenchymal stromal cells (MSCs) and adipocytes play a role in regulating HSC function. However, the mechanisms responsible have yet to be fully elucidated. Our preliminary findings reveal a pro-adipogenic BM phenotype in CH and a novel pro-adipogenic MSC subset which is increased in MDS. We hypothesise that adipogenesis plays a vital role in promoting CH and the development of MDS. This proposal aims to understand how adipocytes and this novel MSC are implicated in clonal haematopoiesis. Nuclei RNA sequencing and spatial transcriptomics will be employed to identify CH-specific HSC signalling interactions in the BM. Furthermore, the contribution of these adipocyte-HSC signalling interactions will be investigated using conditional knock-out mouse models. These aims will provide critical insight into the mechanisms underlying CH and MDS with future implications for studying other age- associated disorders such as leukaemia.","plannedDates":[{"endDate":"2026-12-31T00:00:00+00:00","startDate":"2025-01-01T00:00:00+00:00"}],"amountAwarded":314191.61,"Financial Year":"2023/24","Lead Applicant":"Dr Aisha Jibril","grantProgramme":[{"title":"Wellcome Accelerator Awards"}],"Applicant Surname":"Jibril","Approval Committee":"Accelerator Awards Advisory Committee","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":"314191.61"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-314556_Z_24_Z","data":{"id":"360G-Wellcome-314556_Z_24_Z","title":"Investigating the impact of oxygen on neutrophil biomechanics: targeting a new mechanism in acute lung injury  ","Region":"London","currency":"GBP","awardDate":"2024-10-15T00:00:00+00:00","Sponsor(s)":"Dr Andrew Cowburn","Internal ID":"314556/Z/24/Z","description":"The remarkable capability of healthy neutrophils to deform as they traffic through narrow pulmonary capillaries ensures their rapid transit through the lung. During inflammation, cytoskeletal reorganization causes neutrophils to become less deformable (stiff), leading to entrapment in the lung microvasculature. Using Real-Time Deformability Cytometry (RT-DC), a novel microfluidic technique that measures cellular biomechanical profiles, I have shown that oxygen availability rapidly modulates the neutrophil cytoskeleton. At venous oxygen tension (5% O2), neutrophils are softest, aiding their transit through the extensive lung capillary network. During acute respiratory distress syndrome, patients experience systemic hypoxia (due to impaired gas transfer in inflamed lung) and hyperoxia (due to oxygen supplementation). In severe respiratory failure, patients receiving extracorporeal membrane oxygenation are exposed to further extremes of pathological hypoxia/hyperoxia. I have shown that neutrophils in both low and high oxygen tensions display increased structural rigidity and generate more neutrophil extracellular traps. This may impede their transit through the lung and increase capacity to cause lung tissue/vascular damage. The key goal of this proposal is to understand how oxygen regulates neutrophil biomechanics to promote lung injury and identify novel targets that mediate oxygen-dependent behaviour, aiming to prevent neutrophil sequestration in the lung and mitigate acute lung injury.","plannedDates":[{"endDate":"2030-05-09T00:00:00+00:00","startDate":"2025-05-10T00:00:00+00:00"}],"amountAwarded":1159243,"Financial Year":"2024/25","Lead Applicant":"Dr Katharine Lodge","grantProgramme":[{"title":"Early-Career Award"}],"Applicant Surname":"Lodge","Approval Committee":"ECA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":1159243},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-314570_Z_24_Z","data":{"id":"360G-Wellcome-314570_Z_24_Z","title":"Translational biomarker development for precision psychedelic medicine in addiction  ","Region":"London","currency":"GBP","awardDate":"2024-09-04T00:00:00+00:00","Internal ID":"314570/Z/24/Z","description":"This research aims to develop multimodal, reliable translational biomarkers to characterise addiction processes and use them to develop psychedelic therapy (PT) in addiction. Building on previous experience, this proposal seeks to develop and validate naturalistic, functional Magnetic Resonance Imaging (fMRI) tasks that probe brain systems known to be dysfunctional in individuals with a sub-category of addiction, Gambling Disorder (GD). Further, the proposal also aims to longitudinally evaluate the sensitivity of these fMRI biomarkers to PT as compared with EEG and peripheral biomarkers to explore it's putative multimodal mechanism(s) of action in a pilot, proof-of-concept, experimental medicine study. Leveraging advances in functional imaging, this initiative seeks to build on my PhD and one-year postdoctoral work that aims to transform addiction translational research by being one of the first precision psychedelic medicine studies to date in this indication, giving insights into disease mechanisms and future clinical development. Further, the accelerator award will support skills and development and training in brain imaging analysis, human experimental medicine methodology, internships in leading addiction neuroscience academic groups and exposure to industry research with a psychedelic biopharmaceutical company.","plannedDates":[{"endDate":"2027-02-28T00:00:00+00:00","startDate":"2025-03-01T00:00:00+00:00"}],"amountAwarded":329738,"Financial Year":"2023/24","Lead Applicant":"Dr Rayyan Raja Zafar","grantProgramme":[{"title":"Wellcome Accelerator Awards"}],"Applicant Surname":"Zafar","Approval Committee":"Accelerator Awards Advisory Committee","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":329738},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-316180_Z_24_Z","data":{"id":"360G-Wellcome-316180_Z_24_Z","title":"Feasibility analysis of nucleic acid-encoded mAb therapies  ","Region":"London","currency":"GBP","awardDate":"2024-08-28T00:00:00+00:00","Internal ID":"316180/Z/24/Z","description":"The rise of nucleic acid-based vaccines prompted interest in their use as alternative vehicles for therapeutic protein delivery. Monoclonal antibodies (mAbs) have been the leading cancer and autoimmune disorder therapeutics for over three decades and have recently gained interest in the infectious diseases field too. In this context, mAbs emerged as prophylactic or therapeutic products to address emerging viral diseases, and potentially provide solutions to the silent pandemic represented by antimicrobial resistant bacterial pathogens. However, high R&D and manufacturing costs, and high-tech facilities and skilled personnel requirements limit broad availability and patient accessibility. The aim of this project is to assess the techno-economic feasibility of replacing mAb therapeutics with nucleic acid drugs that encode for them. This would enable use of platform manufacturing processes without the need for extensive mammalian cell line development campaigns, even eliminating cell-based manufacturing of RNA products.","plannedDates":[{"endDate":"2027-10-29T00:00:00+00:00","startDate":"2024-11-01T00:00:00+00:00"}],"amountAwarded":493145.97,"Financial Year":"2023/24","Lead Applicant":"Prof Cleo Kontoravdi","grantProgramme":[{"title":"Discretionary Award"}],"Applicant Surname":"Kontoravdi","Approval Committee":"Discretionary Award decision meeting","Other Applicant(s)":"Prof Nilay Shah, Dr Claudia Sala, Dr Samuele Stazzoni, Simon Daniel, Dr Talia Amira Shmool","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":"493145.97"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-316633_Z_24_Z","data":{"id":"360G-Wellcome-316633_Z_24_Z","title":"Dengue and Zika Immunology and Genomics Multi-Country Network (DeZi Network)  ","Region":"London","currency":"GBP","awardDate":"2024-11-26T00:00:00+00:00","Internal ID":"316633/Z/24/Z","description":"The unprecedented Zika pandemic and recent increase in dengue cases worldwide present a global challenge. However, the lack of information on dengue (DENV) and Zika (ZIKV) virus co-circulation, particularly in Africa and Asia, undermines effective disease surveillance and control. Building on longstanding experience from the Americas, the Dengue and Zika Immunology and Genomics Multi-Country Network (DeZi Network) leverages existing networks and cohorts to develop enhanced laboratory and computational tools for investigating the past, present, and future spread of DENV and ZIKV in Asia and Africa and the factors influencing their clinical outcomes. We will conduct standardised assessments of novel and commercial serological assays on well-characterised panels from the Americas and Asia and apply these across partner sites in Africa and Asia. We will reconstruct population exposure, describe transmission dynamics, investigate antibody waning to both viruses, and determine current infection and disease risk and circulating virus lineages. Additionally, we will integrate real-time epidemiology and in- country genomic sequencing with antigenic cartography to evaluate the transmissibility and severity of DENV and ZIKV lineages and predict their future spread. Through in-country workshops, regional network hubs, community and stakeholder engagement, we will cultivate local leadership to catalyse collaborative science and help mitigate escalating arboviral threats.","plannedDates":[{"endDate":"2030-07-31T00:00:00+00:00","startDate":"2025-08-01T00:00:00+00:00"}],"amountAwarded":5203969.64,"Financial Year":"2024/25","Lead Applicant":"Prof Nuno R. Faria","grantProgramme":[{"title":"Understanding dengue and Zika spread, immunity and clinical outcomes"}],"Applicant Surname":"Faria","Approval Committee":"Infectious Disease – Mosquito-Borne Viruses funding Advisory Committee","Other Applicant(s)":"Dr Ernesto T. A. Marques, Prof Dr Placide Kingebeni Mbala, Prof Eva Harris, Dr Bireshwar Sinha, Dr Eve Lackritz, Mrs Jocelyne Neto de Vasconcelos, Prof Lee Ching Ng","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":"5203969.64"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-317484_Z_24_Z","data":{"id":"360G-Wellcome-317484_Z_24_Z","title":"Towards a molecular understanding of bacterial Type IV filament systems  ","Region":"London","currency":"GBP","awardDate":"2025-01-21T00:00:00+00:00","Internal ID":"317484/Z/24/Z","description":"Type IV filament systems (T4FS) are multi-component nanomachines spanning the cell envelope of most bacteria and archaea. They have diverse function including motility, bacterial predation and virulence, all of which rely on a shared mechanism involving T4FS-derived pilus filaments. While the principles governing pilus assembly are likely conserved across most T4FS, they remain poorly understood. This proposal addresses this knowledge gap by investigating two archetypal T4FS: the Type IV pilus system (T4PS) and Tad pilus system (TadPS). Key aims include understanding how these systems assemble, how their ultrastructure facilitates pilus extension/retraction, and how the ATPase motors couple nucleotide hydrolysis to the physical processing of pilins. To achieve these aims a multidisciplinary approach is undertaken combining in- vitro and in-cell structural biology, light microscopy, and advanced single- molecule imaging. By comparing the T4PS and TadPS, we uncover fundamental T4FS mechanistic principles that predate the evolutionary divergence of archaea and bacteria. Knowledge learnt will direct bottom-up reconstitution strategies aiming to recreate twitching motility and ultimately directed motion in synthetic cellular systems. This ambitious program seeks a molecular understanding of the TadPS and T4PS. It describes how these systems promote bacterial pathogenesis and facilitates development of targeted anti-virulence therapeutics.","plannedDates":[{"endDate":"2033-05-31T00:00:00+00:00","startDate":"2025-06-01T00:00:00+00:00"}],"amountAwarded":3438252,"Financial Year":"2024/25","Lead Applicant":"Prof Harry Low","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Low","Approval Committee":"DSV Interview Committee","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":3438252},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-319723_Z_24_Z","data":{"id":"360G-Wellcome-319723_Z_24_Z","title":"MicrobeScope: Innovating advanced, locally sustainable bioimaging technology for infectious disease research in disease-endemic settings in Africa  ","Region":"London","currency":"GBP","awardDate":"2024-07-08T00:00:00+00:00","Internal ID":"319723/Z/24/Z","description":"Initiatives aimed at overcoming barriers to the use of bioimaging in low- resource settings tend to focus on access to instruments, training, and networking opportunities. Despite significant investment, these interventions are still to yield sustained, impactful results. Instead, the prevailing paradox is that many low-resource regions suffer the highest burdens of infectious and non-communicable diseases yet remain the areas in which the deployment of advanced research technologies – especially for local investigator-led discovery research – is scarce. We propose that the need to reinforce a scientific culture of mechanistic investigation by matching adaptable analytical tools to prevalent public health priorities is an overlooked but essential ingredient in attempts to address this contradiction. Using tuberculosis as model infectious disease, we will establish proof-of- concept validation of the potentiating effect of combining use of modular, open-access microscope technology with an immediate, relevant health challenge. By harnessing the ability of optical microscopy to provide direct visual insight into a biomedical problem while stimulating hypotheses about disease aetiology and pathogenicity, we will demonstrate that tackling a pressing health challenge with an affordable, adaptable bioimaging tool can stimulate a scientific ecosystem in which both observational and mechanistic studies are supported towards advancing African investigator-led discovery science.","plannedDates":[{"endDate":"2026-07-31T00:00:00+00:00","startDate":"2024-11-01T00:00:00+00:00"}],"amountAwarded":242424,"Financial Year":"2023/24","Lead Applicant":"Prof Paul M W French","grantProgramme":[{"title":"Bioimaging Technology Development Award"}],"Applicant Surname":"French","Other Applicant(s)":"Prof Chris Dunsby","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":242424},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-319833_Z_24_Z","data":{"id":"360G-Wellcome-319833_Z_24_Z","title":"Infections, long-term antibiotic use and vaccination in sickle cell: A mixed- methods investigation  ","Region":"London","currency":"GBP","awardDate":"2025-03-11T00:00:00+00:00","Sponsor(s)":"Dr Frédéric Piel","Internal ID":"319833/Z/24/Z","description":"Sickle Cell (SC) is a severe genetic disorder that predominantly affects people of African and Caribbean origin. SC is under-researched, and a recent parliamentary inquiry highlighted the urgent need to address health inequalities in SC. Infections remain a major contributor of morbidity and mortality in SC. Although antibiotic prophylaxis and vaccination have improved patient outcomes in SC, clinical guidance on long-term antibiotic use is conflicting. Antimicrobial resistance (AMR) and the extent to which recommendations on these interventions are followed is undocumented. This contributes to the well-documented lack of trust towards the healthcare system amongst the Black community. My aims are to use large-scale UK electronic health records to quantify i) the burden of infections and infection-related complications in SC; ii) trends and associations of long-term antibiotic prescribing and AMR in SC; and iii) assess the coverage of vaccines in SC. Through focus groups and survey co-production with people with SC or those caring for them, I will explore attitudes and barriers towards antibiotic prophylaxis and vaccination in SC. This mixed methods approach will help (re)build trust and inform clinical guidelines to better manage infections in SC, prevent AMR, reduce poor health outcomes and healthcare costs, and improve quality of life.","plannedDates":[{"endDate":"2030-06-30T00:00:00+00:00","startDate":"2025-07-01T00:00:00+00:00"}],"amountAwarded":608422.22,"Financial Year":"2024/25","Lead Applicant":"Dr Rutendo Muzambi","grantProgramme":[{"title":"Early-Career Award"}],"Applicant Surname":"Muzambi","Approval Committee":"ECA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":"608422.22"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-320280_Z_24_Z","data":{"id":"360G-Wellcome-320280_Z_24_Z","title":"Strengthening health and disease modelling for public health decision making  ","Region":"London","currency":"GBP","awardDate":"2024-04-25T00:00:00+00:00","Internal ID":"320280/Z/24/Z","description":"Malaria is a major cause of ill health and death in children, particularly in Africa. Chemoprevention and vaccination are thus highly recommended to protect young children from malaria infection in endemic countries. About 40 countries in Africa have shown interest in rolling out malaria vaccines with the ambition of reaching the global target of reducing malaria cases by 90% by 2030. We will model different combinations of seasonal, perennial, and post- discharge malaria chemoprevention strategies and vaccination to understand how they complement or create redundancies in terms of impact, and cost- effectiveness at different vaccine uptake levels. Our aims are i) to generate scientific evidence for optimal deployment of existing and novel malaria interventions at sub-national levels in high-burden high-impact countries, and ii) to strengthen modeling capacity and the use of modeling by decision-makers in Africa. Our consortium consists of three institutions in East Africa, and two in Europe, which will collaborate with other modeling units, national malaria and vaccination programs, and international agencies supporting malaria control programs. Our team is multidisciplinary with experienced mathematical and economic modelers, social scientists, epidemiologists, and policymakers. Keywords: malaria, vaccine, chemoprevention, cost-effectiveness, modeling","plannedDates":[{"endDate":"2030-05-11T00:00:00+00:00","startDate":"2025-05-12T00:00:00+00:00"}],"amountAwarded":134312.08,"Financial Year":"2023/24","Lead Applicant":"Dr Lucy C Okell","grantProgramme":[{"title":"Strengthening health and disease modelling for public health decision making"}],"Applicant Surname":"Okell","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":"134312.08"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-320525_Z_24_Z","data":{"id":"360G-Wellcome-320525_Z_24_Z","title":"Leveraging evolutionary forces to improve SIT control for arboviruses  ","Region":"London","currency":"GBP","awardDate":"2025-05-19T00:00:00+00:00","Internal ID":"320525/Z/24/Z","description":"While millions last year were infected with an arbovirus following a bite from a female Aedes mosquito, male mosquitoes are central to new interventions for these diseases. Releases of sterile males have been used to successfully suppress Aedes vector populations and decrease transmission risk in several locations. However, these successes have been contingent on maintaining high ratios of released males to wild males which are difficult to sustain and limit the scale of implementation. Success in these strategies requires released males to cause reproductive failure in wild females. Large numbers of males are required because males used in releases tend to be relatively poor at obtaining matings. Our previous work indicates sexual selection is an important evolutionary force that maintains both male competitiveness and population level genetic diversity. This project endeavors to improve the efficiency and sustainability of control by harnessing sexual selection to improve male performance. We will evolve replicate populations of Aedes aegypti under varying intensities of sexual selection and will measure the effect of these selective environments on male competitiveness, colony productivity, and predicted population suppression efficiency. This application of evolutionary biology to control will advance the science underpinning an important new group of control tools.","plannedDates":[{"endDate":"2030-03-31T00:00:00+00:00","startDate":"2026-04-01T00:00:00+00:00"}],"amountAwarded":1476711,"Financial Year":"2024/25","Lead Applicant":"Dr Lauren Cator","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Cator","Approval Committee":"DSV Interview Committee","Other Applicant(s)":"Dr Alongkot Ponlawat, Dr Hamidou Maiga, Dr Brian Hollis, Dr Penelope A Hancock","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":1476711},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-321628_Z_24_Z","data":{"id":"360G-Wellcome-321628_Z_24_Z","title":"Novel methods to characterise the determinants of infectious disease transmission from large pathogen sequence datasets, and inform their practical implementation.  ","Region":"London","currency":"GBP","awardDate":"2025-07-15T00:00:00+00:00","Sponsor(s)":"Prof Nuno Faria","Internal ID":"321628/Z/24/Z","description":"Understanding the determinants of pathogen transmission is critical for outbreak control. The unobserved nature of transmission events makes this challenging. Pathogen sequencing can help elucidate transmission patterns, but novel methods are required to manage modern large-scale genome datasets and achieve their potential. Because mutations accrue over time in pathogen genomes, genetically close sequences are informative about transmission events as they are sequenced from epidemiologically linked individuals. I will develop methods leveraging these proximal sequences to characterise transmission between groups. I will build and validate a novel inference framework to estimate the matrix of mixing between age groups from the size and composition of clusters of genetically proximal sequences. Using this framework, I will investigate the role played by different age groups in SARS- CoV-2, seasonal influenza and dengue transmission. I will additionally explore how sampling schemes and sample size impact inferences. Finally, I will demonstrate the use of genetically proximal sequences to estimate vaccine effectiveness against transmission. This work will be applicable across pathogens and transmission determinants. By providing new models to characterise disease transmission from an underutilised data source, this will constitute a critical contribution to inform future epidemic response.","plannedDates":[{"endDate":"2031-08-31T00:00:00+00:00","startDate":"2026-09-01T00:00:00+00:00"}],"amountAwarded":833158,"Financial Year":"2024/25","Lead Applicant":"Dr Cécile Tran Kiem","grantProgramme":[{"title":"Early-Career Award"}],"Applicant Surname":"Tran Kiem","Approval Committee":"ECA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":833158},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-321818_Z_24_Z","data":{"id":"360G-Wellcome-321818_Z_24_Z","title":"Decoding inter-species PICI transfer to understand bacterial evolution and design next-generation antibacterial therapies.  ","Region":"London","currency":"GBP","awardDate":"2025-05-19T00:00:00+00:00","Internal ID":"321818/Z/24/Z","description":"Antibiotic resistance intensifies the need to understand mechanisms driving bacterial evolution. Our research uncovered a novel mechanism by which certain phage-inducible chromosomal islands (PICIs), known as \"capsid-forming PICIs\" (cf-PICIs), utilise phage tails from unrelated bacteria to form chimeric particles that enable inter-species transfer. Since cf-PICIs encode virulence and antibiotic resistance genes, this process fuels their dissemination in nature. Supported by genomic and structural analyses, this discovery shows cf- PICIs can produce a new type of biological entity: small capsids containing cf-PICI DNA. These tail-less, non-infective particles, once released into bacterial communities, acquire phage tails from various bacterial species. This process expands their bacterial host range via chimeric, infective particles. This project will decode this transfer mechanism to understand how cf-PICIs interact with diverse phage tails, enabling broader host targeting. Additionally, since phages use DNA packaging and particle formation strategies similar to cf-PICIs, we will investigate whether phages employ comparable mechanisms to expand their host range. We propose to harness this inter- species transfer capability to establish the basis for developing tailored cf- PICI and phage-based therapies to combat antibiotic resistance. This research could pioneer novel therapeutic approaches against bacterial infections while providing significant insights into bacterial evolution and managing microbial ecosystems.","plannedDates":[{"endDate":"2033-11-30T00:00:00+00:00","startDate":"2025-12-01T00:00:00+00:00"}],"amountAwarded":2754059,"Financial Year":"2024/25","Lead Applicant":"Prof Jose R Penades","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Penades","Approval Committee":"DSV Interview Committee","Other Applicant(s)":"Dr Tiago Rafael Dias Costa, Dr Julie A. K. McDonald","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":2754059},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-321902_Z_24_Z","data":{"id":"360G-Wellcome-321902_Z_24_Z","title":"Identifying the signature of glia in multi-dimensional MRI  ","Region":"London","currency":"GBP","awardDate":"2025-09-02T00:00:00+00:00","Sponsor(s)":"Prof Rylie Green","Internal ID":"321902/Z/24/Z","description":"Glia are immune-responsive brain cells that act as early biomarkers of neuroinflammation and pathology, making them important targets for intervention. Where current clinical imaging of neuroinflammation relies on PET and exposes patients to harmful radiation, MRI could offer a powerful non- invasive alternative. Diffusion and relaxation MRI -methods that are sensitive to morphological and chemical cellular properties respectively- hold great promise for imaging glia. However, current methods probing the diffusion and relaxation properties separately have failed to reliably distinguish glia from neuronal components. I will combine diffusion-relaxation MRI into a single joint method to provide a new glia-specific biomarker. First, I will identify the MR “fingerprint” of glia by comparing extensive diffusion-relaxation MRI to cellular microscopy from the same brain. This fingerprint will then inform simulations with a microscopy-derived “digital twin” of brain tissue to engineer optimised MRI protocols that provide an in vivo biomarker for glia. Extensive validation will be performed in rodents (using MRI and microscopy), in healthy volunteers, across MR hardware, and through comparisons with gold- standard PET in patients. This will deliver a validated MR biomarker that promises major impact. Towards the project’s end, translation to patient populations will be explored, paving the way for improved neuroinflammation diagnostics.","plannedDates":[{"endDate":"2033-11-01T00:00:00+00:00","startDate":"2025-11-01T00:00:00+00:00"}],"amountAwarded":1555714.66,"Financial Year":"2024/25","Lead Applicant":"Dr Amy Howard","grantProgramme":[{"title":"Career Development Award"}],"Applicant Surname":"Howard","Approval Committee":"CDA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":"1555714.66"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-323488_Z_24_Z","data":{"id":"360G-Wellcome-323488_Z_24_Z","title":"Understanding the immunology and morbidity of adolescent tuberculosis (DEFIANT)  ","Region":"London","currency":"GBP","awardDate":"2025-09-02T00:00:00+00:00","Internal ID":"323488/Z/24/Z","description":"During adolescence, the predominant clinical phenotype of TB shifts from intrathoracic lymph node disease to adult-type pulmonary TB. It is increasingly recognized that adolescents contribute to substantial Mtb transmission and that disease in this age group leads to substantial post-TB lung disease (PTLD). The underlying mechanisms for these changes in biology remain poorly understood. We will enroll 100 adolescents with pulmonary TB disease and 200 healthy adolescent controls. We will assess pubertal development using Tanner staging and sex steroid profiling. We will evaluate associations between pubertal stage and inflammation in the blood – evaluated by SomaScan, RNA-seq and innate and T cell response to mycobacteria and modulatory cytokines. For individuals with TB disease, we will use chest radiography and 18F-FDG-PET/CT imaging to evaluate disease severity and will collect sputum samples to measure host immunology at the site of disease. We will follow adolescents with TB for 12 months to characterize different phenotypes of PTLD, before identifying clinical features, radiological parameters and biomarkers at baseline that predict progression to these phenotypes. Finally, we will determine immunological pathways leading to PTLD and then simulate in silico the impact of host-directed therapies to ameliorate these pathways.","plannedDates":[{"endDate":"2031-12-31T00:00:00+00:00","startDate":"2026-01-01T00:00:00+00:00"}],"amountAwarded":3572684,"Financial Year":"2024/25","Lead Applicant":"Prof James Alexander Seddon","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Seddon","Approval Committee":"DSV Interview Committee","Other Applicant(s)":"Dr Myrsini Kaforou, Dr Marieke Margreet van der Zalm, Prof Novel Njweipi Chegou, Prof Petter Brodin, Prof Thomas J Scriba","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":3572684},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-323925_Z_24_Z","data":{"id":"360G-Wellcome-323925_Z_24_Z","title":"Fungal metabolic adaptation in pulmonary aspergillosis  ","Region":"London","currency":"GBP","awardDate":"2025-05-29T00:00:00+00:00","Internal ID":"323925/Z/24/Z","description":"Aspergillus fumigatus is the globally dominant human fungal pathogen, causing a spectrum of pulmonary disease ranging from acute angioinvasive disease to allergic bronchopulmonary aspergillosis. Using high-throughput phenotypic profiling we have discovered two distinct groups of strains based on growth rate on specific carbon and nitrogen sources. Exploiting high-throughput innate immune receptor reporter assays we observed that fast growing strains had novel C-type lectin specificities compared to slow growing strains. Furthermore, slow growing strains were mostly from chronic infections, suggesting in-host metabolic adaptation is linked to innate immune modulation. To further dissect the relationship between metabolism, infection and immunity we will: 1: Define the genetic basis for these metabolic phenotypes using clinical and environmental strains and the Wellcome Trust-funded Aspergillus fumigatus gene deletion collection. 2: Systematically characterise the impact of metabolic phenotype on cell wall composition using clinical and environmental strains and selected gene deletion strains. 3: Investigate the impact of metabolic and cell wall phenotypes on survival in clinically- relevant animal and ex-vivo human infection models. These studies will allow us to define the underpinning mechanisms that link genomics, metabolism and cell wall remodelling during fungal adaptation in the lung, and the impact on fungal survival during clinically-relevant lung immune states.","plannedDates":[{"endDate":"2030-01-04T00:00:00+00:00","startDate":"2026-01-05T00:00:00+00:00"}],"amountAwarded":2518311,"Financial Year":"2024/25","Lead Applicant":"Prof Darius Armstrong-James","grantProgramme":[{"title":"Biology of Fungal Adaptation"}],"Applicant Surname":"Armstrong-James","Approval Committee":"Biology of Fungal Adaptation Interview Committee","Other Applicant(s)":"Dr Rodrigo Ledesma-Amaro, Prof Michael John Bromley, Dr Antoine Loquet, Dr Alexiane Clara Decout, Dr Gerald Larrouy-Maumus","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":2518311},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-324094_Z_25_Z","data":{"id":"360G-Wellcome-324094_Z_25_Z","title":"Open access award 2025  ","Region":"London","currency":"GBP","awardDate":"2024-12-31T00:00:00+00:00","Internal ID":"324094/Z/25/Z","description":"No description available","plannedDates":[{"endDate":"2025-12-31T00:00:00+00:00","startDate":"2025-01-01T00:00:00+00:00"}],"amountAwarded":262150,"Financial Year":"2024/25","Lead Applicant":"Ruth Harrison","grantProgramme":[{"title":"Open Access Award"}],"Applicant Surname":"Harrison","Approval Committee":"Open Access Block Award recommendation meeting","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":262150},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-326315_Z_25_Z","data":{"id":"360G-Wellcome-326315_Z_25_Z","title":"Harnessing genomic epidemiology and machine learning for enhanced poliovirus surveillance and response  ","Region":"London","currency":"GBP","awardDate":"2025-07-15T00:00:00+00:00","Sponsor(s)":"Dr Isobel Blake","Internal ID":"326315/Z/25/Z","description":"The main threat to achieving the eradication of poliovirus is the spread of circulating vaccine-derived poliovirus (cVDPV) – rare event in which the oral poliovirus vaccine becomes capable of causing outbreaks of acute flaccid paralysis (AFP). Since 2016, 4934 cVDPV type 2 cases were reported across 80 outbreaks in 44 countries, especially Africa and Asia, with recent circulation in the USA and Europe. Although every polio AFP case is routinely sequenced, the use of sequences to guide public health strategies remains very limited and underexploited. Here, I will analyze over 4,000 unpublished and novel (2025-2030) genetic sequences to maximize the impact of genomic epidemiology for surveillance and response to cVDPV2 outbreaks. I will apply phylogenetic methods to: (i) reconstruct VDPV spread at different geographic scales and identify key drivers of spread; (ii) extract indicators to inform outbreak response, quantify the impact of interventions and assess the added value of wastewater surveillance; and (iii) couple genetic analysis with artificial intelligence to forecast the spread of VDPVs and inform vaccination campaigns. This will be underlined by knowledge transfer initiatives and findings will be shared regularly with the Global Polio Eradication Initiative to support the integration of genomics epidemiology into routine real-time poliovirus response.","plannedDates":[{"endDate":"2031-06-30T00:00:00+00:00","startDate":"2026-07-01T00:00:00+00:00"}],"amountAwarded":825143,"Financial Year":"2024/25","Lead Applicant":"Dr Darlan Da Silva Candido","grantProgramme":[{"title":"Early-Career Award"}],"Applicant Surname":"Da Silva Candido","Approval Committee":"ECA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":825143},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-333406_Z_25_Z","data":{"id":"360G-Wellcome-333406_Z_25_Z","title":"Countering the evolutionary threat to malaria vector control in Africa - Major changes to national malaria elimination strategy in the Senegambia region as a model system for investigating strategies to block adaptation in Anopheles mosquito populations  ","Region":"London","currency":"GBP","awardDate":"2025-01-21T00:00:00+00:00","Internal ID":"333406/Z/25/Z","description":"Vector control has significantly reduced the burden of malaria in Africa. However, reliance on bednets impregnated with pyrethroid insecticides has caused rapid evolution of pyrethroid resistance in Anopheles mosquitoes. To combat this threat, dual active ingredient insecticide-treated nets (dual AI ITNs) have been developed and proven effective against pyrethroid-resistant mosquitoes. Furthermore, dual AI ITNs combining a pyrethroid with the proinsecticide chlorfenapyr are promising for resistance management, because molecular mechanisms which cause pyrethroid resistance also activate and increase susceptibility to chlorfenapyr. This potential for antagonistic pleiotropy could create an evolutionary trap, delaying the evolution of resistance. However, little is known about how Anopheles mosquitoes will evolve in response to dual AI ITNs. We will exploit the first mass distribution of dual AI ITNs across the Senegambian region to study the evolutionary response of Anopheles mosquito populations to combined use of pyrethroid and chlorfenapyr insecticides. To complement this, we will use directed evolution experiments to investigate and validate the selective pressures generated by insecticide combinations. Finally, we will develop models to forecast the evolutionary risk of different insecticide combinations and intervention strategies. These advances will accelerate the design of future vector control interventions that exploit evolutionary vulnerabilities to ensure long term efficacy.","plannedDates":[{"endDate":"2030-06-30T00:00:00+00:00","startDate":"2025-07-01T00:00:00+00:00"}],"amountAwarded":428831,"Financial Year":"2024/25","Lead Applicant":"Prof Austin Burt","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Burt","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":428831},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-333784_Z_25_Z","data":{"id":"360G-Wellcome-333784_Z_25_Z","title":"Early Detection and Dynamic Relapse Monitoring in Bipolar Disorder: A Longitudinal Cohort Approach  ","Region":"London","currency":"GBP","awardDate":"2025-12-01T00:00:00+00:00","Internal ID":"333784/Z/25/Z","description":"This application represents a groundbreaking advance in the early detection and management of bipolar disorder (BD) by establishing the for the first time dynamic, time-varying predictive models tailored to BD and identified trajectories. Unlike traditional static approaches, BEACON will uniquely integrate longitudinal cohort data with routine clinical care data and with genomics, other -omics and experimental validation, enabling improved risk stratification. BEACON is built on four large, real-world population cohorts, with ongoing longitudinal follow-up that reflect diverse populations and healthcare settings, considerably enhancing both model development and validation. Throughout the development of the proposal, co-production with individuals with lived experience has shaped the research questions and initial design and this will continue throughout the delivery, evaluation, and implementation of the programme. The framework’s use of experimental approaches and multi-omics for putative causal pathway discovery marks a significant step toward interpretable, biologically informed modelling. Our team bridges data science, cellular modelling, precsion psychiatry, epidemiology, computational biology. This will enable future translational validation pioneering the first truly holistic and proactive model for BD care—offering unprecedented potential for early detection to reduce duration of untreated illness, delineate different trajectories of illness, feasibly prevent episodes, and transform relapse management.","plannedDates":[{"endDate":"2031-09-30T00:00:00+00:00","startDate":"2026-10-01T00:00:00+00:00"}],"amountAwarded":3029335.83,"Financial Year":"2025/26","Lead Applicant":"Prof Allan Hunter Young","grantProgramme":[{"title":"Leveraging longitudinal data to transform early intervention in mental health"}],"Applicant Surname":"Young","Approval Committee":"Longitudinal Interview Committee","Other Applicant(s)":"Prof Ioanna Tzoulaki, Dr Judith Allardyce, Prof Marc Chadeau-Hyam, Prof Adam Hampshire, Prof Paul McCrone, Prof Tania Gergel, Prof Helen Ward, Dr Verena Zuber, Prof Paul Elliott, Dr Alessandra Borsini","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":"3029335.83"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-334270_Z_25_Z","data":{"id":"360G-Wellcome-334270_Z_25_Z","title":"An Accumulation Rulebook & Vulnerability Atlas for Klebsiella spp.  ","Region":"London","currency":"GBP","awardDate":"2025-09-16T00:00:00+00:00","Internal ID":"334270/Z/25/Z","description":"One of the biggest challenges in the development of new antibiotics is finding compounds that accumulate in sufficient concentration within bacterial cells to exert a growth inhibitory effect. A second major challenge is the paucity of new, functionally validated and chemically tractable targets, which results in a lack of novelty in the antibiotic pipeline. We will use deep exploration of chemical space and computational approaches to define molecular fingerprints and learn the chemical rules of cellular accumulation of small molecules. In parallel, we will discover and functionally validate chemically- tractable protein targets, generating a proteome-scale atlas of drug target vulnerabilities. Drawing insight from our accumulation rulebook and vulnerability atlas, we will know which targets to hit, where to hit them, and how to design molecules hitting these sites to accumulate at the target. We will: develop a high-throughput accumulation measurement platform; generate an open-data and AI/ML model for active learning of accumulating compounds; determine the chemical 'rules of accumulation' in Klebsiella to enable rational design of high-accumulating antibacterials; provide validated protocols, data, models and an accumulation compound set to facilitate studies in other bacteria by the community; identify and validate new chemically- tractable protein antibiotic targets in Klebsiella.","plannedDates":[{"endDate":"2029-03-21T00:00:00+00:00","startDate":"2026-03-22T00:00:00+00:00"}],"amountAwarded":3126218.86,"Financial Year":"2024/25","Lead Applicant":"Dr Andrew M Edwards","grantProgramme":[{"title":"Gram-negative Antibiotic Discovery Innovator (Gr-ADI)"}],"Applicant Surname":"Edwards","Approval Committee":"Gram-negative Antibiotic Discovery Innovator (Gr-ADI)","Other Applicant(s)":"Prof Gad Frankel, Prof Paul S Freemont, Prof Edward W Tate, Prof Mauricio Barahona, Prof Dr Alessandra Russo, Dr Matthew Andrew Child, Prof Ramon Vilar","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":"3126218.86"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-338559_Z_25_Z","data":{"id":"360G-Wellcome-338559_Z_25_Z","title":"Fostering LMIC Engagement at the AMR Summit 2026  ","Region":"London","currency":"GBP","awardDate":"2025-09-15T00:00:00+00:00","Internal ID":"338559/Z/25/Z","description":"CSIRO and The Fleming Initiative are jointly organising the \"AMR 2026: From Global Vision to Local Action\" summit in Sydney, Australia, February 18-20, 2026. This summit aims to drive tangible progress in tackling antimicrobial resistance (AMR) by fostering collaboration, knowledge sharing, and innovative solutions. A key objective is to ensure the active participation of researchers and stakeholders from low- and middle-income countries (LMICs), who are disproportionately affected by AMR. LMICs face unique challenges in combating AMR due to factors such as limited resources, inadequate infrastructure, and high burdens of infectious diseases. Insights and experiences from individuals in these countries are crucial for developing effective and equitable solutions. The AMR 2026 summit seeks to: • Provide a platform for LMIC researchers to share their experiences, challenges, and successes in addressing AMR. • Facilitate knowledge exchange and collaboration between LMIC and high-income country (HIC) researchers. • Ensure that AMR strategies and interventions are relevant and adaptable to LMIC contexts.","plannedDates":[{"endDate":"2026-05-23T00:00:00+00:00","startDate":"2025-11-24T00:00:00+00:00"}],"amountAwarded":50000,"Financial Year":"2024/25","Lead Applicant":"Mrs Kerri Hill-Cawthorne","grantProgramme":[{"title":"Discretionary Award"}],"Applicant Surname":"Hill-Cawthorne","Approval Committee":"Discretionary Award decision meeting","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":50000},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-338562_Z_25_Z","data":{"id":"360G-Wellcome-338562_Z_25_Z","title":"Optical Oscilloscope: Real-time, high-throughput, volumetric voltage imaging  ","Region":"London","currency":"GBP","awardDate":"2026-02-03T00:00:00+00:00","Internal ID":"338562/Z/25/Z","description":"Neuroscientists lack tools to monitor the voltage of thousands of neurons in 3D and in real time. This is limiting because neurons communicate electrically, and network-scale voltage dynamics drive both cognitive function and dysfunction. Neuroscientists currently use multiphoton scanning to image through scattering in brain tissue, but scanning is too slow to capture small, fast voltage signals across large populations of neurons. We will develop high-throughput, real-time, volumetric voltage and vascular imaging based on light-field microscopy (LFM). LFM enables scanless volume acquisition, but scattering and computational load currently limit its use. We will overcome these barriers by developing optics-aware deep neural networks trained on one- photon light fields and scattering-robust two-photon volumes, and implement them on graphics processing units and field-programmable gate arrays for the real-time, kilohertz readout required for closed-loop control. These unique capabilities will enable discovery science including mapping neurovascular dysfunction in Alzheimer’s disease, uncovering network-scale learning rules, and probing how hippocampal replay shapes cortical dynamics and connectivity. The Optical Oscilloscope will deliver low-latency, cellular-resolution voltage imaging at network scale, enabling new insight into how neural circuits function and remodel during learning and disease. Key words: voltage imaging, deep learning, light field microscopy, two-photon microscopy, neural circuits, real-time, closed-loop","plannedDates":[{"endDate":"2032-10-11T00:00:00+00:00","startDate":"2026-04-14T00:00:00+00:00"}],"amountAwarded":3923125,"Financial Year":"2025/26","Lead Applicant":"Dr Amanda J Foust","grantProgramme":[{"title":"Bioimaging Technology Development Award"}],"Applicant Surname":"Foust","Approval Committee":"Decision - Directed call - Bioimaging","Other Applicant(s)":"Prof Claudia Clopath, Prof Christos Bouganis, Prof Simon R Schultz, Prof Pier Luigi Dragotti, Dr Samuel J Barnes","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":3923125},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-339016_Z_25_Z","data":{"id":"360G-Wellcome-339016_Z_25_Z","title":"Dynamic 3D super-resolution ultrasound imaging of micro-circulation and genetically encoded acoustic reporters in vivo  ","Region":"London","currency":"GBP","awardDate":"2026-02-03T00:00:00+00:00","Internal ID":"339016/Z/25/Z","description":"Non-invasive, high-resolution whole-body imaging capable of visualising cellular identity and function in vivo has the potential to revolutionise our understanding of many physiological systems and diseases, but remains a major challenge in biological research. This project develops and integrates cutting-edge ultrasound technologies with acoustic-reporter genetics to address this challenge, delivering an accessible and high resolution 3D imaging platform capable of longitudinal imaging of biological systems across cellular, organ and whole-body scales. The team will develop a large field-of- view volumetric in vivo imaging platform enabling whole-body dynamic imaging of microcirculation and genetically encoded acoustic reporters, the “GFP for ultrasound”, at sub-diffraction resolution in rodents. Novel acoustic reporter genes will be engineered to sense and image multiple biomarkers of cellular function in defined cell populations. These tools will be validated across cellular and temporal scales in metabolic research contexts, addressing critical questions about pancreatic beta cell mass dynamics and gut enteroendocrine cell signaling that current imaging methods cannot resolve. The final aim focuses on developing resources, including mouse lines, protocols, and training programs, to enable wide adoption of this transformative technology across the life sciences community.","plannedDates":[{"endDate":"2031-05-31T00:00:00+00:00","startDate":"2026-06-01T00:00:00+00:00"}],"amountAwarded":4620408,"Financial Year":"2025/26","Lead Applicant":"Prof Mengxing Tang","grantProgramme":[{"title":"Bioimaging Technology Development Award"}],"Applicant Surname":"Tang","Approval Committee":"Decision - Directed call - Bioimaging","Other Applicant(s)":"Dr Dandan Zhang, Prof Gavin A Bewick, Dr David Maresca, Dr David T Riglar, Prof Kevin G Murphy","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":4620408},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-339459_Z_25_Z","data":{"id":"360G-Wellcome-339459_Z_25_Z","title":"Cell competition in X chromosome usage and disease  ","Region":"London","currency":"GBP","awardDate":"2026-05-21T00:00:00+00:00","Internal ID":"339459/Z/25/Z","description":"The unique biology of the mammalian X-chromosome means that the impact of X-linked genetic variation is sex-specific; while males have a single X-chromosome, females have two. As X-linked sequence variants cause ~600 diseases, having an extra copy can be advantageous. Nevertheless, the manifestation of X-linked traits is highly variable between females. Such variability arises from the random inactivation of one X-chromosome in each female cell, which creates a mosaic of cells that selectively express genetic variants located on either X chromosome. We have recently demonstrated that variants in the X-linked genes Stag2 and Hdac8 can drive cell competition in heterozygous females. Competition profoundly skews the proportion of cells that use one or the other X-chromosome in specific tissues and cell-types. This discovery raises many important questions; how does X-linked competition work, how many other X-chromosome variants drive competition, and how does competition affect the phenotypic manifestation of X-linked traits? Here we propose to address this knowledge gap to uncover how competition impacts female disease susceptibility/resilience. Leveraging human population data, preclinical models and in vitro systems we will systematically evaluate the extent, mechanisms and impacts of X-linked cellular competition in female development and X-linked disease manifestation.","plannedDates":[{"endDate":"2032-09-29T00:00:00+00:00","startDate":"2026-10-01T00:00:00+00:00"}],"amountAwarded":2000000,"Financial Year":"2025/26","Lead Applicant":"Prof Matthias Merkenschlager","grantProgramme":[{"title":"Discovery Award"}],"Applicant Surname":"Merkenschlager","Approval Committee":"DSV Interview Committee","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":2000000},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-341094_Z_25_Z","data":{"id":"360G-Wellcome-341094_Z_25_Z","title":"Mesoscale MRI in the living brain with simultaneous multi-contrast encoding  ","Region":"London","currency":"GBP","awardDate":"2026-05-12T00:00:00+00:00","Sponsor(s)":"Prof Rylie Green","Internal ID":"341094/Z/25/Z","description":"Magnetic resonance imaging (MRI) is a crucial tool for examining the living brain in health and disease non-invasively. However, we cannot achieve the kind of spatial resolution which is available with microscopes: neuroimaging data typically has voxel dimensions of approximately one millimetre, and anything much smaller than this is difficult to resolve - let alone quantify accurately - due to motion during acquisition. This misses important opportunities for capturing early changes in neurodegenerative diseases (e.g. Parkinson’s, Alzheimer’s), where pathology is evident in sub-millimetre nuclei tens of years before symptoms emerge. In this proposal, I put forward a series of technical developments in the way that we can acquire and reconstruct images from MRI scanners. They take advantage of signals that are usually ignored or discarded during the acquisition process, and with an understanding of the underlying physics, turn them into free additional sources of information about tissue microstructure and brain motion. I plan to exploit this additional information to develop new approaches which make MRI more efficient and motion-robust, before applying these in some of the world’s most powerful systems. With this, I aim to extend the achievable spatial resolution of quantitative MRI in the living brain to the limits of feasibility.","plannedDates":[{"endDate":"2034-06-29T00:00:00+00:00","startDate":"2026-07-01T00:00:00+00:00"}],"amountAwarded":1483726,"Financial Year":"2025/26","Lead Applicant":"Dr Peter J Lally","grantProgramme":[{"title":"Career Development Award"}],"Applicant Surname":"Lally","Approval Committee":"CDA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"Yes","Total amount including partnership funding":1483726},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-343141_Z_25_Z","data":{"id":"360G-Wellcome-343141_Z_25_Z","title":"Open Access Award 2026  ","Region":"London","currency":"GBP","awardDate":"2025-12-15T00:00:00+00:00","Internal ID":"343141/Z/25/Z","description":"No description available","plannedDates":[{"endDate":"2026-12-31T00:00:00+00:00","startDate":"2026-01-01T00:00:00+00:00"}],"amountAwarded":287777,"Financial Year":"2025/26","Lead Applicant":"Ruth Harrison","grantProgramme":[{"title":"Open Access Award"}],"Applicant Surname":"Harrison","Approval Committee":"Open Access Block Award recommendation meeting","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":287777},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-345310_Z_26_Z","data":{"id":"360G-Wellcome-345310_Z_26_Z","title":"Characterizing human B-cell immune checkpoints to advance immunotherapy  ","Region":"London","currency":"GBP","awardDate":"2026-07-14T00:00:00+00:00","Sponsor(s)":"Prof Matthew Pickering","Internal ID":"345310/Z/26/Z","description":"B cells represent an attractive therapeutic target in autoimmunity, transplantation or cancer. However, the current B-cell-directed therapies rely mainly on non-selective pan-B-cell depletion with variable efficacy in different tissues and associated side effects, including severe infections. My preliminary data demonstrate that immune checkpoint molecules (ICMs)-key regulators of immune responses-are differentially expressed across human B-cell subsets and tissues. These findings open the opportunity for exploring B-cell heterogeneity, plasticity and avenues for more selective targeting. Using matched human tissue samples, state-of-art immuno-phenotyping technologies (including single-cell multi-omics, multi-parameter spectral flow cytometry, cytokines and antibody profiling), 3D immune organoid cultures (organ-on-chip) and multi-checkpoint CRISPR screens (Perturb-seq) and blocking antibodies, I will: (1) map baseline ICMs expression patterns across B-cell subsets in vivo, examining influences of tissue microenvironment, sex, and age to generate an integrated Human B-cell ICM Atlas; (2) characterize ICM expression dynamics during ex-vivo B-cell differentiation, expansion, and lymphoid follicle formation; (3) elucidate functional roles of ICMs in these biological processes. This work will deliver new insights into human B-cell biology necessary for developing more precise therapeutics with reduced toxicity, including advancement of future adoptive B-cell therapies. Additionally, it will illuminate potential mechanisms underlying autoimmune- like complications from checkpoint inhibitor therapies and inflammaging.","plannedDates":[{"endDate":"2031-09-01T00:00:00+00:00","startDate":"2026-09-01T00:00:00+00:00"}],"amountAwarded":1237958,"Financial Year":"2025/26","Lead Applicant":"Dr Ondrej Suchanek","grantProgramme":[{"title":"Early-Career Award"}],"Applicant Surname":"Suchanek","Approval Committee":"ECA Interview Panel","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":1237958},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-348060_Z_26_Z","data":{"id":"360G-Wellcome-348060_Z_26_Z","title":"An Artificial Intelligence-Driven Antifungal Drug Target Discovery Platform  ","Region":"London","currency":"GBP","awardDate":"2026-07-08T00:00:00+00:00","Internal ID":"348060/Z/26/Z","description":"Fungal antimicrobial resistance is a growing global health threat, particularly from critical priority pathogens such as Aspergillus fumigatus and Candida auris. There is a clear unmet need for novel antifungal agents with new mechanisms, low toxicity, and high resistance barriers. We propose an integrated, artificial intelligence (AI)-driven antifungal drug discovery platform to systematically identify and validate novel drug targets. Our approach harnesses cutting-edge technologies, CRISPR-based oligo recombineering, cysteine-reactivity profiling, and AI-guided prediction of gene essentiality, toxicity, and resistance emergence, to accelerate the discovery of durable antifungal agents. This platform will focus on C. auris, building genome-wide libraries and targetable chemogenomic maps. Structure- guided lead discovery will be supported by state-of-the-art AI pipelines and compound libraries. Predictive models for toxicity and resistance will ensure prioritization of safe and durable drug targets. Pangenome approaches will explore the evolutionary constraints of target sites; bolstering binding efficacy and target specificity, whilst enabling detection of emerging resistance. Expected outcomes include the identification of novel, non-human homologous targets; public release of chemogenomic and resistance prediction datasets; and an advanced AI-enabled pipeline adaptable to emerging and future antifungal threats. This project will transform antifungal discovery, future- proof therapies against resistance, and deliver early target enablement.","plannedDates":[{"endDate":"2031-01-01T00:00:00+00:00","startDate":"2027-01-01T00:00:00+00:00"}],"amountAwarded":5499996,"Financial Year":"2025/26","Lead Applicant":"Prof Darius Armstrong-James","grantProgramme":[{"title":"Discretionary Award"}],"Applicant Surname":"Armstrong-James","Approval Committee":"Discretionary Award decision meeting","Other Applicant(s)":"Prof Pedro J Ballester, Prof Edward W Tate, Prof Paul S Freemont, Sonja Billerbeck, Dr Manu De Rycker, Dr Rodrigo Ledesma-Amaro, Prof Ian H Gilbert, Dr Leonid Chindelevitch, Prof Matthew C Fisher, Dr Matthew Andrew Child, Prof Alison Helen Holmes","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":5499996},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-351092_Z_26_Z","data":{"id":"360G-Wellcome-351092_Z_26_Z","title":"Establishing a Community of Practice for improved consideration of intersectionality in UK medical research  ","Region":"London","currency":"GBP","awardDate":"2026-07-01T00:00:00+00:00","Internal ID":"351092/Z/26/Z","description":"This project will establish a Community of Practice (CoP) to advance intersectional equity in UK biomedical, health and care research. Building on policy outputs, educational materials and networks established by the Equity by Evidence and MESSAGE projects, this CoP will convene people with lived experience, funders, regulators, higher education institutions, academic publishers and researchers to drive coordinated improvement of intersectionality integration in research. The CoP is structured around four objectives: furthering implementation of equitable research policies across race, ethnicity, sex and gender; synthesising best practice evidence when accounting for disability, age and socioeconomic status in research, and the interactions between protected characteristics; monitoring policy impact through a sector-wide Equity Impact Assessment (EIA) framework to evaluate participation and outcomes; and generating educational materials and training to build capacity for embedding intersectionality in research design, data collection and reporting. CoP efforts will reduce fragmentation, streamline expectations of researchers and translate equity commitments into practice to strengthen research’s ability to improve health outcomes for all. Over three years, the CoP will deliver three Policy Labs and co-produced resources centred on stakeholder priorities and lived-experience expertise. Outputs include a scalable EIA framework, researcher training and sector-wide learning, to deliver measurable progress in research equity.","plannedDates":[{"endDate":"2030-04-01T00:00:00+00:00","startDate":"2027-04-01T00:00:00+00:00"}],"amountAwarded":306028.98,"Financial Year":"2025/26","Lead Applicant":"Kate Womersley","grantProgramme":[{"title":"Discretionary Award"}],"Applicant Surname":"Womersley","Approval Committee":"Discretionary Award decision meeting","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":"306028.98"},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-351763_Z_26_Z","data":{"id":"360G-Wellcome-351763_Z_26_Z","title":"openScopes AIDDiA: Advancing Infectious Disease Discovery Research in Africa with open-source imaging technology  ","Region":"London","currency":"GBP","awardDate":"2026-02-03T00:00:00+00:00","Internal ID":"351763/Z/26/Z","description":"openScopes AIDDiA (Advancing Infectious Disease Discovery Research in Africa; “idea”) will develop and deploy technologies towards overcoming barriers to bioimaging in Africa, and to enable discovery research focused on endemic infectious diseases. We propose a technology development and distribution programme driven by a diverse, multinational team comprising specialist, multidisciplinary expertise located across five collaborating sites in South Africa, Kenya, Uganda, Côte d'Ivoire, and the UK. By combining (i) the deployment of mobile instruments (travellerScopes) that will serve as nodes for training and preliminary investigations with (ii) the development and implementation of advanced microbeScope-based imaging modalities for discovery research focused on live, infectious clinical material, our intention is to seed a sustainable network of active researchers spanning anglophone and francophone sub-Saharan Africa, supported by hubs of technological and research excellence. In linking these hubs to centres focused on hardware design that is responsive to African research needs and the realities of diverse environments, limited resources, and variable infrastructure, we aim to establish a template that illustrates the benefit of partnering technology developers with researchers in discovery research teams – especially in low- resource settings where access to instrumentation alone is inadequate to support sustained uptake of bioimaging for investigations of endemic infectious diseases.","plannedDates":[{"endDate":"2030-07-31T00:00:00+00:00","startDate":"2026-08-01T00:00:00+00:00"}],"amountAwarded":1221520,"Financial Year":"2025/26","Lead Applicant":"Prof Paul M W French","grantProgramme":[{"title":"Bioimaging Technology Development Award"}],"Applicant Surname":"French","Other Applicant(s)":"Prof Chris Dunsby, Dr Brian D Robertson","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":1221520},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}},{"grant_id":"360G-Wellcome-354873_Z_26_Z","data":{"id":"360G-Wellcome-354873_Z_26_Z","title":"GENSCORE Project: Leveraging Generative AI to adapt and enhance the scoring of widely used mental health assessment tools in low-resource context  ","Region":"London","currency":"GBP","awardDate":"2026-03-02T00:00:00+00:00","Internal ID":"354873/Z/26/Z","description":"In Nigeria where about 250 psychiatrists serve over 220 million people, contextually accurate mental health screening tools are not just beneficial, they are essential. Our GENSCORE Project aims to develop and validate a culturally grounded, multimodal AI platform/software to improve depression and anxiety screening for Pidgin English, Hausa, and Yoruba speakers in Nigeria. The project will build on our successful pilot to co-develop GENSCORE-DATA v2.0, one of Africa’s largest multilingual mental health dataset, and fine- tune GENSCORE-LLM v2.0 for culturally aligned interpretation. Our culturally relevant model, GENSCORE-LLM, will enable the development of contextually relevant mental health screening (GenPHQ and GenGAD) tools co-designed with people with lived experience and mental health experts. These tools will be integrated into an open-access, multimodal GENSCORE platform combining voice (audio) and self-reported text, facilitating real-time screening and decision support. The GENSCORE tools will undergo rigorous community and clinical validation and benchmarked against SCID-5-CV assessments among 990 participants in language-specific sites: Lagos State (Pidgin English), Abuja, FCT (Hausa) and Oyo State (Yoruba). Robust ethical, governance, and safety frameworks will ensure fairness, data sovereignty, and responsible AI use, with broad national and international dissemination.","plannedDates":[{"endDate":"2028-05-14T00:00:00+00:00","startDate":"2026-05-15T00:00:00+00:00"}],"amountAwarded":0,"Financial Year":"2025/26","Lead Applicant":"Dr shamsuddeen Hassan muhammad","grantProgramme":[{"title":"Generative AI for Anxiety, Depression and Psychosis"}],"Applicant Surname":"muhammad","Other Applicant(s)":"Dr OLUGBENGA ADEKILE OWOEYE, Mr Ezekiel Oladejo, Mr Miracle Ayomikun Adesina, Prof Ayodele Samuel Jegede, Dr shamsuddeen Hassan muhammad, Dr MUSA ADEKUNLE AYANWALE","fundingOrganization":[{"id":"GB-CHC-210183","name":"The Wellcome Trust"}],"recipientOrganization":[{"id":"360G-Wellcome-ORG:Imperial-College-London","name":"Imperial College London","addressCountry":"United Kingdom","addressLocality":"London"}],"Has the grant transferred?":"No","Research conducted at multiple locations?":"No","Total amount including partnership funding":0},"data_license":{"url":"https://creativecommons.org/licenses/by/4.0/","name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"},"publisher":{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"},"recipients":[{"self":"https://api.threesixtygiving.org/api/v1/org/360G-Wellcome-ORG:Imperial-College-London/","org_id":"360G-Wellcome-ORG:Imperial-College-London"}],"funders":[{"self":"https://api.threesixtygiving.org/api/v1/org/GB-CHC-210183/","org_id":"GB-CHC-210183"}],"additional_data_metadata":{"source_license":"https://creativecommons.org/licenses/by/4.0/","sources_metadata":{"codeListLookup":{"license":"https://creativecommons.org/licenses/by/4.0/"},"locationLookup":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrgInfos":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"},"recipientOrganizationLocation":{"license":"https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"}},"source_license_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)"}}]}