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High-Throughput Identification of Tissue/Cell-Type-Specific Cis Regulatory Module

High-Throughput Identification of Tissue/Cell-Type-Specific Cis Regulatory Module
组织/细胞类型特异性顺式调控模块的高通量鉴定
批准号:
8312733
负责人:
MARTHA L BULYK
金额:
$56.98万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-27 至 2013-10-31

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中文摘要
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英文摘要
In metazoans, gene expression is regulated in a tissue/cell-type specific manner predominantly via stretches of noncoding sequence referred to as cis regulatory modules (CRMs) that regulate the expression of (typically) the adjacent gene(s). CRMs usually contain 1 or more DNA binding sites for 1 or more sequence-specific, regulatory transcription factors (TFs) that function to activate or repress the target gene(s); CRMs that activate gene expression are frequently referred to as ¿transcriptional enhancers¿, and have been the focus of many computational and experimental studies. Identification of tissue/cell-type-specific enhancers in metazoans remains a significant challenge. Moreover, despite recent technological advances, a major, rate-limiting bottleneck that is impeding rapid progress in the field is the still quite low-throughput experimental testing of candidate enhancers. The overarching goals of this project are to develop and apply novel ¿wet-lab¿ technology for high-throughput experimental identification of tissue/cell-type-specific transcriptional enhancers. In this project we will focus on the developing embryonic mesoderm in Drosophila as a model system. We will identify cis regulatory modules and analyze their constituent cis regulatory codes that operate in somatic mesoderm (SM) founder cells (FCs) and fusion competent myoblasts (FCMs). Specifically, we will: develop and apply novel ¿wet-lab¿ technology for high-throughput experimental identification of tissue/cell-type-specific transcriptional enhancers; determine the DNA binding specificities of ~75 known and predicted TFs expressed in the Drosophila embryonic mesoderm; predict CRMs and infer cis regulatory codes considering highly combinatorial input from large, high-resolution TF-DNA binding specificity dictionaries; and experimentally validate newly discovered enhancers. Importantly, we anticipate that the technologies, approaches, tools, and data resulting from this project will be generally applicable to other systems and organisms.
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  • 项目类别:
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  • 依托单位:
Transcription factor mutationsunderlying birth defects or pediatric cancers
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