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使用统计热力学框架剖析转录因子与DNA的结合机制。

Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework.

作者信息

Martin Patrick C N, Zabet Nicolae Radu

机构信息

School of Life Sciences, University of Essex, Colchester CO4 3SQ, UK.

Biotech Research and Innovation Centre (BRIC), University of Copenhagen, DK-2200 Copenhagen, Denmark.

出版信息

Comput Struct Biotechnol J. 2020 Nov 12;18:3590-3605. doi: 10.1016/j.csbj.2020.11.006. eCollection 2020.

Abstract

Transcription Factors (TFs) bind to DNA and control activity of target genes. Here, we present ChIPanalyser, a user-friendly, versatile and powerful R/Bioconductor package predicting and modelling the binding of TFs to DNA. ChIPanalyser performs similarly to state-of-the-art tools, but is an and provides biological insights into binding mechanisms of TFs. We focused on investigating the binding mechanisms of three TFs that are known architectural proteins CTCF, BEAF-32 and su(Hw) in three Drosophila cell lines (BG3, Kc167 and S2). While CTCF preferentially binds only to a subset of high affinity sites located mainly in open chromatin, BEAF-32 binds to most of its high affinity binding sites available in open chromatin. In contrast, su(Hw) binds to both open chromatin and also partially closed chromatin. Most importantly, differences in TF binding profiles between cell lines for these TFs are mainly driven by differences in DNA accessibility and not by differences in TF concentrations between cell lines. Finally, we investigated binding of Hox TFs in Drosophila and found that Ubx binds only in open chromatin, while Abd-B and Dfd are capable to bind in both open and partially closed chromatin. Overall, our results show that TFs display different binding mechanisms and that our model is able to recapitulate their specific binding behaviour.

摘要

转录因子(TFs)与DNA结合并控制靶基因的活性。在此,我们展示了ChIPanalyser,这是一个用户友好、多功能且强大的R/Bioconductor软件包,用于预测和建模TFs与DNA的结合。ChIPanalyser的性能与最先进的工具相似,但它是一个[此处原文缺失相关描述],并能提供有关TFs结合机制的生物学见解。我们专注于研究三种已知的结构蛋白CTCF、BEAF - 32和su(Hw)在三种果蝇细胞系(BG3、Kc167和S2)中的结合机制。虽然CTCF仅优先结合主要位于开放染色质中的一部分高亲和力位点,但BEAF - 32结合开放染色质中其大部分可用的高亲和力结合位点。相比之下,su(Hw)既结合开放染色质也部分结合封闭染色质。最重要的是,这些TFs在细胞系之间的结合谱差异主要由DNA可及性差异驱动,而非细胞系之间TF浓度的差异。最后,我们研究了果蝇中Hox TFs的结合情况,发现Ubx仅在开放染色质中结合,而Abd - B和Dfd能够在开放和部分封闭的染色质中结合。总体而言,我们的结果表明TFs表现出不同的结合机制,并且我们的模型能够概括它们的特定结合行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2f4/7708957/92bcabb5e530/ga1.jpg

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