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染色质免疫沉淀测序(ChIP-Seq)数据分析:使用SISSRs峰检测工具鉴定蛋白质-DNA结合位点

ChIP-Seq data analysis: identification of protein-DNA binding sites with SISSRs peak-finder.

作者信息

Narlikar Leelavati, Jothi Raja

机构信息

National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA.

出版信息

Methods Mol Biol. 2012;802:305-22. doi: 10.1007/978-1-61779-400-1_20.

DOI:10.1007/978-1-61779-400-1_20
PMID:22130889
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4783134/
Abstract

Protein-DNA interactions play key roles in determining gene-expression programs during cellular development and differentiation. Chromatin immunoprecipitation (ChIP) is the most widely used assay for probing such interactions. With recent advances in sequencing technology, ChIP-Seq, an approach that combines ChIP and next-generation parallel sequencing is fast becoming the method of choice for mapping protein-DNA interactions on a genome-wide scale. Here, we briefly review the ChIP-Seq approach for mapping protein-DNA interactions and describe the use of the SISSRs peak-finder, a software tool for precise identification of protein-DNA binding sites from sequencing data generated using ChIP-Seq.

摘要

蛋白质与DNA的相互作用在细胞发育和分化过程中决定基因表达程序方面起着关键作用。染色质免疫沉淀(ChIP)是用于探测此类相互作用的最广泛使用的检测方法。随着测序技术的最新进展,ChIP-Seq(一种将ChIP与下一代平行测序相结合的方法)正迅速成为在全基因组范围内绘制蛋白质与DNA相互作用图谱的首选方法。在这里,我们简要回顾用于绘制蛋白质与DNA相互作用图谱的ChIP-Seq方法,并描述SISSRs峰查找器的使用,这是一种用于从使用ChIP-Seq生成的测序数据中精确识别蛋白质与DNA结合位点的软件工具。

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本文引用的文献

1
Replication initiation and DNA topology: The twisted life of the origin.复制起始和 DNA 拓扑结构:原点的扭曲生命。
J Cell Biochem. 2010 May;110(1):35-43. doi: 10.1002/jcb.22557.
2
Native chromatin preparation and Illumina/Solexa library construction.天然染色质制备及Illumina/Solexa文库构建。
Cold Spring Harb Protoc. 2009 Jun;2009(6):pdb.prot5237. doi: 10.1101/pdb.prot5237.
3
Cell type specificity of chromatin organization mediated by CTCF and cohesin.CTCF 和黏连蛋白介导的染色质组织的细胞类型特异性。
Proc Natl Acad Sci U S A. 2010 Feb 23;107(8):3651-6. doi: 10.1073/pnas.0912087107. Epub 2010 Feb 2.
4
ChIP-seq: advantages and challenges of a maturing technology.染色质免疫沉淀测序(ChIP-seq):一项日趋成熟技术的优势与挑战
Nat Rev Genet. 2009 Oct;10(10):669-80. doi: 10.1038/nrg2641. Epub 2009 Sep 8.
5
Chromatin poises miRNA- and protein-coding genes for expression.染色质使微小RNA和蛋白质编码基因做好表达准备。
Genome Res. 2009 Oct;19(10):1742-51. doi: 10.1101/gr.090951.109. Epub 2009 Aug 27.
6
An embryonic stem cell chromatin remodeling complex, esBAF, is an essential component of the core pluripotency transcriptional network.一种胚胎干细胞染色质重塑复合体,即胚胎干细胞BRG1相关因子(esBAF),是核心多能性转录网络的重要组成部分。
Proc Natl Acad Sci U S A. 2009 Mar 31;106(13):5187-91. doi: 10.1073/pnas.0812888106. Epub 2009 Mar 11.
7
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.短DNA序列与人类基因组的超快速且内存高效比对。
Genome Biol. 2009;10(3):R25. doi: 10.1186/gb-2009-10-3-r25. Epub 2009 Mar 4.
8
GADEM: a genetic algorithm guided formation of spaced dyads coupled with an EM algorithm for motif discovery.GADEM:一种遗传算法引导的间隔二元组形成,结合期望最大化算法用于基序发现。
J Comput Biol. 2009 Feb;16(2):317-29. doi: 10.1089/cmb.2008.16TT.
9
Genomic location analysis by ChIP-Seq.通过染色质免疫沉淀测序(ChIP-Seq)进行基因组定位分析。
J Cell Biochem. 2009 May 1;107(1):11-8. doi: 10.1002/jcb.22077.
10
Global analysis of the insulator binding protein CTCF in chromatin barrier regions reveals demarcation of active and repressive domains.对染色质屏障区域中绝缘子结合蛋白CTCF的全局分析揭示了活性结构域和抑制结构域的划分。
Genome Res. 2009 Jan;19(1):24-32. doi: 10.1101/gr.082800.108. Epub 2008 Dec 3.