New computational, transcriptional, and genome editing approaches to the biology of inflammatory bowel disease

研究炎症性肠病生物学的新计算、转录和基因组编辑方法

基本信息

  • 批准号:
    9976502
  • 负责人:
  • 金额:
    $ 17.39万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-09-19 至 2022-05-31
  • 项目状态:
    已结题

项目摘要

Project Summary Over the past decade, the NIDDK IBDGC (Inflammatory Bowel Disease Genetics Consortium) has generated extraordinary datasets in support of genetic analysis of the onset, progression, and therapeutic response to Crohn's disease and ulcerative colitis. This Ancillary project will complement ongoing IBDGC research by providing parallel statistical genetic analyses focused on transcriptomics, while also developing a novel strategy for genetic manipulation of patient-derived epithelial cells. There are four major biomedical genomics focus areas addressed by the research, namely fine mapping of loci influencing inflammatory bowel disease, elucidation of the cell and molecular function of causal genes, understanding how polymorphism influences pathology, and translating quantitative genetic discoveries into clinical outcomes. Specifically, integrative genomics expertise will be used to refine the credible intervals responsible for complex association signals at individual loci, enhance transcriptional risk scores (TRS) that have recently been shown to provide much greater prediction of disease and progression than genetic risk scores, and explore the potential of in silico predicted transcriptome-wide association studies in the context of IBD. These studies will utilize the IBDGC datasets through collaborative arrangements mediated by data coordinating center. In addition, proof of principle for the use of lipid nanoparticles as an efficient and specific delivery system for genome editing and/or pharmaceutical delivery to targeted cell types in gut- derived organoids will be demonstrated. Single cell RNA-Seq will be used to partition variability in gut epithelial gene expression in the half dozen most common organoid cell types into contributions of the ethnicity, location of the biopsy, type of disease, and source laboratory. This data will serve as a foundation for evaluating the effects of a half dozen gene knock-outs across cell types using the lipid nanoparticle delivery system. All analyses and reagents will be made available to consortium members as expected for collaborative IBDGC research.
项目总结

项目成果

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GREGORY C GIBSON其他文献

GREGORY C GIBSON的其他文献

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{{ truncateString('GREGORY C GIBSON', 18)}}的其他基金

New computational, transcriptional, and genome editing approaches to the biology of inflammatory bowel disease
研究炎症性肠病生物学的新计算、转录和基因组编辑方法
  • 批准号:
    10200800
  • 财政年份:
    2018
  • 资助金额:
    $ 17.39万
  • 项目类别:
eQTL mega-analysis for functional assessment of multi-enhancer gene regulation
用于多增强子基因调控功能评估的 eQTL 大分析
  • 批准号:
    9330894
  • 财政年份:
    2016
  • 资助金额:
    $ 17.39万
  • 项目类别:
eQTL mega-analysis for functional assessment of multi-enhancer gene regulation
用于多增强子基因调控功能评估的 eQTL 大分析
  • 批准号:
    9072104
  • 财政年份:
    2016
  • 资助金额:
    $ 17.39万
  • 项目类别:
A Computational Biology and Predictive Health Genomics Training Program at GT
GT 的计算生物学和预测健康基因组学培训项目
  • 批准号:
    9285807
  • 财政年份:
    2014
  • 资助金额:
    $ 17.39万
  • 项目类别:
A Computational Biology and Predictive Health Genomics Training Program at GT
GT 的计算生物学和预测健康基因组学培训项目
  • 批准号:
    8473373
  • 财政年份:
    2014
  • 资助金额:
    $ 17.39万
  • 项目类别:
DROSOPHILA PHARMACOGENETICS
果蝇药物遗传学
  • 批准号:
    6830214
  • 财政年份:
    2003
  • 资助金额:
    $ 17.39万
  • 项目类别:
QUANTITATIVE GENETIC ANALYSIS OF SIGNAL TRANSDUCTION
信号转导的定量遗传分析
  • 批准号:
    6630485
  • 财政年份:
    2000
  • 资助金额:
    $ 17.39万
  • 项目类别:
QUANTITATIVE GENETIC ANALYSIS OF SIGNAL TRANSDUCTION
信号转导的定量遗传分析
  • 批准号:
    6525921
  • 财政年份:
    2000
  • 资助金额:
    $ 17.39万
  • 项目类别:
Quantitative Genetic Analysis of Signal Transduction
信号转导的定量遗传分析
  • 批准号:
    6924864
  • 财政年份:
    2000
  • 资助金额:
    $ 17.39万
  • 项目类别:
Quantitative Genetic Analysis of Signal Transduction
信号转导的定量遗传分析
  • 批准号:
    7025823
  • 财政年份:
    2000
  • 资助金额:
    $ 17.39万
  • 项目类别:

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