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本文引用的文献

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Quantitative analysis of binding motifs mediating diverse spatial readouts of the Dorsal gradient in the Drosophila embryo.果蝇胚胎中介导背侧梯度不同空间读数的结合基序的定量分析。
Proc Natl Acad Sci U S A. 2005 Apr 5;102(14):4966-71. doi: 10.1073/pnas.0409414102. Epub 2005 Mar 28.
2
Mapping DNA-protein interactions in large genomes by sequence tag analysis of genomic enrichment.通过基因组富集的序列标签分析绘制大型基因组中的DNA-蛋白质相互作用图谱。
Nat Methods. 2005 Jan;2(1):47-53. doi: 10.1038/nmeth726. Epub 2004 Dec 21.
3
MONKEY: identifying conserved transcription-factor binding sites in multiple alignments using a binding site-specific evolutionary model.MONKEY:使用结合位点特异性进化模型在多序列比对中识别保守转录因子结合位点。
Genome Biol. 2004;5(12):R98. doi: 10.1186/gb-2004-5-12-r98. Epub 2004 Nov 30.
4
Drosophila DNase I footprint database: a systematic genome annotation of transcription factor binding sites in the fruitfly, Drosophila melanogaster.果蝇DNA酶I足迹数据库:黑腹果蝇中转录因子结合位点的系统基因组注释。
Bioinformatics. 2005 Apr 15;21(8):1747-9. doi: 10.1093/bioinformatics/bti173. Epub 2004 Nov 30.
5
Computational identification of developmental enhancers: conservation and function of transcription factor binding-site clusters in Drosophila melanogaster and Drosophila pseudoobscura.发育增强子的计算识别:黑腹果蝇和拟暗果蝇中转录因子结合位点簇的保守性与功能
Genome Biol. 2004;5(9):R61. doi: 10.1186/gb-2004-5-9-r61. Epub 2004 Aug 20.
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Genome-wide mapping of in vivo targets of the Drosophila transcription factor Kruppel.果蝇转录因子克虏伯体内靶点的全基因组图谱绘制。
J Biol Chem. 2004 Jul 16;279(29):30689-96. doi: 10.1074/jbc.M403345200. Epub 2004 May 6.
7
CisOrtho: a program pipeline for genome-wide identification of transcription factor target genes using phylogenetic footprinting.CisOrtho:一种利用系统发育足迹法在全基因组范围内鉴定转录因子靶基因的程序管道。
BMC Bioinformatics. 2004 Mar 12;5:27. doi: 10.1186/1471-2105-5-27.
8
Positive autoregulation of the Myocyte enhancer factor-2 myogenic control gene during somatic muscle development in Drosophila.
Dev Biol. 2004 Mar 15;267(2):536-47. doi: 10.1016/j.ydbio.2003.12.004.
9
Unbiased mapping of transcription factor binding sites along human chromosomes 21 and 22 points to widespread regulation of noncoding RNAs.沿着人类21号和22号染色体对转录因子结合位点进行的无偏差定位表明非编码RNA受到广泛调控。
Cell. 2004 Feb 20;116(4):499-509. doi: 10.1016/s0092-8674(04)00127-8.
10
Distribution of NF-kappaB-binding sites across human chromosome 22.NF-κB结合位点在人类22号染色体上的分布。
Proc Natl Acad Sci U S A. 2003 Oct 14;100(21):12247-52. doi: 10.1073/pnas.2135255100. Epub 2003 Oct 3.

利用基于芯片富集的计算机预测靶点方法绘制Dmef2结合调控模块图谱。

Mapping Dmef2-binding regulatory modules by using a ChIP-enriched in silico targets approach.

作者信息

Junion Guillaume, Jagla Teresa, Duplant Sebastien, Tapin Romain, Da Ponte Jean-Philippe, Jagla Krzysztof

机构信息

Institut National de la Santé et de la Recherche Médicale Unité 384, Faculté de Médecine, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France.

出版信息

Proc Natl Acad Sci U S A. 2005 Dec 20;102(51):18479-84. doi: 10.1073/pnas.0507030102. Epub 2005 Dec 9.

DOI:10.1073/pnas.0507030102
PMID:16339902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1317932/
Abstract

Mapping the regulatory modules to which transcription factors bind in vivo is a key step toward understanding of global gene expression programs. We have developed a chromatin immunoprecipitation (ChIP)-chip strategy for identifying factor-specific regulatory regions acting in vivo. This method, called the ChIP-enriched in silico targets (ChEST) approach, combines immunoprecipitation of cross-linked protein-DNA complexes (X-ChIP) with in silico prediction of targets and generation of computed DNA microarrays. We report the use of ChEST in Drosophila to identify several previously unknown targets of myocyte enhancer factor 2 (MEF2), a key regulator of myogenic differentiation. Our approach was validated by demonstrating that the identified sequences act as enhancers in vivo and are able to drive reporter gene expression specifically in MEF2-positive muscle cells. Presented here, the ChEST strategy was originally designed to identify regulatory modules in Drosophila, but it can be adapted for any sequenced and annotated genome.

摘要

绘制转录因子在体内结合的调控模块图谱是理解全局基因表达程序的关键一步。我们开发了一种染色质免疫沉淀(ChIP)-芯片策略,用于识别在体内起作用的因子特异性调控区域。这种方法称为ChIP富集计算机预测靶点(ChEST)方法,它将交联的蛋白质-DNA复合物的免疫沉淀(X-ChIP)与靶点的计算机预测以及计算DNA微阵列的生成相结合。我们报告了在果蝇中使用ChEST来鉴定肌细胞增强因子2(MEF2)的几个先前未知的靶点,MEF2是成肌分化的关键调节因子。我们通过证明所鉴定的序列在体内作为增强子起作用并且能够特异性地驱动报告基因在MEF2阳性肌肉细胞中表达,验证了我们的方法。本文介绍的ChEST策略最初设计用于在果蝇中识别调控模块,但它可以适用于任何已测序和注释的基因组。