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中文摘要
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英文摘要
Project Summary/Abstract Emerging and endemic viral pathogens are a persistent threat to human health, the global economy, and national readiness. Viral proteins interact with host proteins to hijack host cells and replicate transmissible viral particles. Human-viral and viral-viral protein-protein interactions (PPls) have been comprehensively characterized for a limited set of viruses, identifying a "PPI profile" for each virus screened. However, these efforts have characterized only a small fraction of the known viruses. A complete viral-human PPI map would be an invaluable resource, enabling analyses of how often interacting viral proteins converge on common human protein targets, cellular functions, or pathways, and which of these interactions are associated with transmissibility or virulence. Combining the viral-human PPI map with human population genetic analyses will enable characterization of the molecular mechanisms underlying extant and ancient epidemics and how these PPIs drive much of human adaptation. In addition, PPI profiles of human viruses could be used to aid screening of animal reservoirs to identify potential threats before a zoonotic spillover occurs. Despite its great promise, characterization of the viral-human PPI map remains a challenge given the throughput of current viral-human PPI screening assays. Current high-throughput assays also lack a quantitative output, meaning that the emergent human-viral PPI map, or viral-viral PPI maps, would be difficult to exploit for important downstream variant scanning or drug screening applications. Here we will use a quantitative sequencing-based protein-protein interaction assay platform to screen for PPls between -24 million viral-human or viral-viral protein pairs. We will further develop this technology into a massively parallel drug screening platform and use it to screen >3 million drug-PPI combinations for small-molecule compounds that promote or antagonize a PPI. The viral-human PPI and drug-PPI maps developed here will be an invaluable resource for a broad research community. In addition, this work will establish new massively parallel and quantitative PPI and drug-PPI screening technologies that will scale with advances in gene synthesis, mutagenesis and sequencing, enabling parallel screening of tens of thousands of gene and gene variants of extant, emerging, and potentially zoonotic viruses.
期刊论文(15)
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科研奖励(0)
会议论文
DOI: 10.1016/j.cels.2019.03.005
发表时间: 2019-04
期刊: Cell systems
影响因子: 9.3
作者: [Xianan Liu;Zhimin Liu;Adam Dziulko;Fangfei Li;Darach Miller;Robert D Morabito;Danielle Francois;Sasha F. Levy]
通讯作者: Xianan Liu;Zhimin Liu;Adam Dziulko;Fangfei Li;Darach Miller;Robert D Morabito;Danielle Francois;Sasha F. Levy
DOI: 10.1038/s41467-022-29111-z
发表时间: 2022-03-18
期刊: Nature communications
影响因子: 16.6
作者: [Matsui T, Mullis MN, Roy KR, Hale JJ, Schell R, Levy SF, Ehrenreich IM]
通讯作者: Ehrenreich IM
DOI: 10.7554/elife.62365
发表时间: 2020-09-14
期刊: eLife
影响因子: 7.7
作者: [Liu Z, Miller D, Li F, Liu X, Levy SF]
通讯作者: Levy SF
DOI: 10.1371/journal.pone.0283548
发表时间: 2023
期刊: PloS one
影响因子: 3.7
作者: []
通讯作者:
7
    Fitness Effects of Beneficial Mutations
    • 批准号:
      9913557
    • 项目类别:
    • 资助金额:
      $42.81万
    • 财政年份:
      2019
    • 负责人:
      Gavin J Sherlock
    • 依托单位:
    Fitness Effects of Beneficial Mutations
    • 批准号:
      10612770
    • 项目类别:
    • 资助金额:
      $42.98万
    • 财政年份:
      2019
    • 负责人:
      Gavin J Sherlock
    • 依托单位:
    Fitness Effects of Beneficial Mutations
    • 批准号:
      10391436
    • 项目类别:
    • 资助金额:
      $42.92万
    • 财政年份:
      2019
    • 负责人:
      Gavin J Sherlock
    • 依托单位:
    Evolution of drug resistance in Candida glabrata
    • 批准号:
      10531319
    • 项目类别:
    • 资助金额:
      $7.2万
    • 财政年份:
      2018
    • 负责人:
      Gavin J Sherlock
    • 依托单位:
    海外基金