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QUANTITATIVE GENETIC ANALYSIS OF SIGNAL TRANSDUCTION

QUANTITATIVE GENETIC ANALYSIS OF SIGNAL TRANSDUCTION
信号转导的定量遗传分析
批准号:
6163501
负责人:
GREGORY C GIBSON
金额:
$18.37万
依托单位国家:
美国
项目类别:
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-08-01 至 2004-07-31

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英文摘要
The long-term objective of the proposed study is to establish how molecular variation in specific proteins involved in a signal transduction pathway contributes to phenotypic variation. The project focuses on the developmental pathways associated with wing shape and photoreceptor variation in Drosophila. The general approach is to use genetic "tester" backgrounds that bear selected hypo- and hypermorphic mutations shown by Dr. Gibson to reveal modifiers of expression. He proposes that these modifiers are genes in the same signal transduction pathway that contribute to potential subtle perhaps cryptic standing genetic variation in natural populations. In these "sensitized" backgrounds measured phenotypic effects are mapped to the candidate genes of the associated EGF-Ras pathway using association or linkage disequilibrium mapping, as has been used to define QTLs for bristle variation in natural populations of D. melanogaster. The objective at this point is not to identify specific mutations responsible for functional variation yet, but to quantify relative effects of different loci in the pathway.
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New computational, transcriptional, and genome editing approaches to the biology of inflammatory bowel disease
  • 批准号:
    10200800
  • 项目类别:
  • 资助金额:
    $17.27万
  • 财政年份:
    2018
  • 负责人:
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  • 依托单位:
New computational, transcriptional, and genome editing approaches to the biology of inflammatory bowel disease
  • 批准号:
    9976502
  • 项目类别:
  • 资助金额:
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  • 财政年份:
    2018
  • 负责人:
    GREGORY C GIBSON
  • 依托单位:
eQTL mega-analysis for functional assessment of multi-enhancer gene regulation
  • 批准号:
    9330894
  • 项目类别:
  • 资助金额:
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  • 财政年份:
    2016
  • 负责人:
    GREGORY C GIBSON
  • 依托单位:
eQTL mega-analysis for functional assessment of multi-enhancer gene regulation
  • 批准号:
    9072104
  • 项目类别:
  • 资助金额:
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  • 财政年份:
    2016
  • 负责人:
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  • 依托单位:
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