Characterising extreme innate immune response phenotypes informative for disease using a functional genomics approach (360G-Wellcome-204969_Z_16_Z)
The overall aim is to define and characterise extreme innate immune response phenotypes in order to gain insights into the functional alleles driving such differences between individuals; biological consequences in terms of gene regulation, cellular function and disease; and opportunities for therapeutic intervention. Key goals are (1) to analyse existing transcriptomic and expression quantitative trait mapping datasets for primary monocytes activated by lipopolysaccharide (endotoxin) or interferon-gamma from a large cohort of healthy volunteers to identify extreme responders (aggregated and gene level), using genetics to resolve functional alleles then validate and establish functional consequences including through chemical probes; (2) to use genome editing to conduct high-throughput screens in human induced pluripotent stem cell derived monocytes complementing the genetic data; (3) to define key nodal genes and networks for drug target discovery and prioritisation; and (4) to characterise prioritised genes and functional alleles modulating gene transcription and epigenetic regulation relevant to disease. Anticipated outcomes are improved understanding of pathophysiology in immune-mediated disease notably sepsis; exemplars to the field of how to establish mechanism for functional alleles involving regulatory genetic variants; improved interpretation of genome-wide association studies; novel nodal points involving TLR and related pathways as drug targets; and better drug target prioritisation.
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Grant Details
| Region | South East |
| Award Date | 2016-11-30T00:00:00+00:00 |
| Internal ID | 204969/Z/16/Z |
| Planned Dates: End Date | 2023-01-01T00:00:00+00:00 |
| Planned Dates: Start Date | 2017-10-02T00:00:00+00:00 |
| Amount Awarded | 1575666 |
| Financial Year | 2016/17 |
| Lead Applicant | Prof Julian Charles Knight |
| Grant Programme: Title | Investigator Award in Science |
| Applicant Surname | Knight |
| Approval Committee | Science Interview Panel |
| Recipient Org: Country | United Kingdom |
| Recipient Org: City | Oxford |
| Has the grant transferred? | No |
| Research conducted at multiple locations? | No |
| Total amount including partnership funding | 1575666 |