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Genome-wide location analysis: insights on transcriptional regulation

机译:全基因组位置分析:转录调控的见解

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摘要

Gene expression analysis of microarray data can provide a global view of the transcriptome of a cell or specific tissue type, revealing important information about the kinds of signaling pathways, genes and protein classifications that are active. However, transcript profiles alone do not reveal how expression levels are controlled or which transcription factors (TFs) are responsible. Establishing transcriptional regulatory networks requires knowledge of TFs bound to promoter, enhancer and repressor elements. Accessibility of these sites and an additional level of control are mediated by chromatin and DNA modifications. Genome-wide location analysis is a tool for identifying protein–DNA interaction sites on a genomic scale. Applications of this tool are proving invaluable in determining in vivo target genes of TFs, epigenetic marks and cis-regulatory elements. Here, we will discuss how advances have been made in each of these categories and how this has helped to elucidate regulatory networks and control mechanisms.
机译:微阵列数据的基因表达分析可以提供细胞或特定组织类型的转录组的全局视图,揭示有关活跃的信号途径,基因和蛋白质分类的重要信息。然而,仅转录物谱不能揭示表达水平如何被控制或哪些转录因子(TF)负责。建立转录调控网络需要了解与启动子,增强子和阻遏子元件结合的TF。这些位点的可及性和额外的控制水平由染色质和DNA修饰介导。全基因组位置分析是一种在基因组规模上鉴定蛋白质与DNA相互作用位点的工具。实践证明,该工具的应用对于确定体内TFs,表观遗传标记和顺式调控元件的靶基因具有无价的价值。在这里,我们将讨论如何在每个类别中取得进展,以及如何帮助阐明监管网络和控制机制。

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  • 来源
    《Human Molecular Genetics》 |2006年第1期|R1-R7|共7页
  • 作者单位

    Ludwig Institute for Cancer Research and Department of Cellular and Molecular Medicine UCSD School of Medicine 9500 Gilman Drive La Jolla CA 92093 USA;

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