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全基因组方法鉴定蛋白质与 DNA 的相互作用。

Genome Wide Approaches to Identify Protein-DNA Interactions.

机构信息

Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN 55905, United States.

出版信息

Curr Med Chem. 2019;26(42):7641-7654. doi: 10.2174/0929867325666180530115711.

Abstract

BACKGROUND

Transcription factors are DNA-binding proteins that play key roles in many fundamental biological processes. Unraveling their interactions with DNA is essential to identify their target genes and understand the regulatory network. Genome-wide identification of their binding sites became feasible thanks to recent progress in experimental and computational approaches. ChIP-chip, ChIP-seq, and ChIP-exo are three widely used techniques to demarcate genome-wide transcription factor binding sites.

OBJECTIVE

This review aims to provide an overview of these three techniques including their experiment procedures, computational approaches, and popular analytic tools.

CONCLUSION

ChIP-chip, ChIP-seq, and ChIP-exo have been the major techniques to study genome- wide in vivo protein-DNA interaction. Due to the rapid development of next-generation sequencing technology, array-based ChIP-chip is deprecated and ChIP-seq has become the most widely used technique to identify transcription factor binding sites in genome-wide. The newly developed ChIP-exo further improves the spatial resolution to single nucleotide. Numerous tools have been developed to analyze ChIP-chip, ChIP-seq and ChIP-exo data. However, different programs may employ different mechanisms or underlying algorithms thus each will inherently include its own set of statistical assumption and bias. So choosing the most appropriate analytic program for a given experiment needs careful considerations. Moreover, most programs only have command line interface so their installation and usage will require basic computation expertise in Unix/Linux.

摘要

背景

转录因子是与 DNA 结合的蛋白质,在许多基本的生物过程中发挥着关键作用。揭示它们与 DNA 的相互作用对于识别它们的靶基因和理解调控网络至关重要。由于实验和计算方法的最新进展,全基因组范围内鉴定它们的结合位点成为可能。ChIP-chip、ChIP-seq 和 ChIP-exo 是三种广泛使用的技术,用于划定全基因组转录因子结合位点。

目的

本综述旨在概述这三种技术,包括它们的实验程序、计算方法和流行的分析工具。

结论

ChIP-chip、ChIP-seq 和 ChIP-exo 一直是研究全基因组体内蛋白质-DNA 相互作用的主要技术。由于下一代测序技术的快速发展,基于阵列的 ChIP-chip 已经过时,ChIP-seq 已成为在全基因组范围内识别转录因子结合位点最广泛使用的技术。新开发的 ChIP-exo 进一步提高了单核苷酸的空间分辨率。已经开发了许多工具来分析 ChIP-chip、ChIP-seq 和 ChIP-exo 数据。然而,不同的程序可能采用不同的机制或底层算法,因此每个程序都固有地包含其自己的一套统计假设和偏差。因此,为给定的实验选择最合适的分析程序需要仔细考虑。此外,大多数程序仅具有命令行界面,因此它们的安装和使用需要在 Unix/Linux 中具备基本的计算专业知识。

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