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鉴定能与不可及染色质结合的哺乳动物转录因子。

Identification of mammalian transcription factors that bind to inaccessible chromatin.

机构信息

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

Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, Oslo, Norway.

出版信息

Nucleic Acids Res. 2023 Sep 8;51(16):8480-8495. doi: 10.1093/nar/gkad614.

Abstract

Transcription factors (TFs) are proteins that affect gene expression by binding to regulatory regions of DNA in a sequence specific manner. The binding of TFs to DNA is controlled by many factors, including the DNA sequence, concentration of TF, chromatin accessibility and co-factors. Here, we systematically investigated the binding mechanism of hundreds of TFs by analysing ChIP-seq data with our explainable statistical model, ChIPanalyser. This tool uses as inputs the DNA sequence binding motif; the capacity to distinguish between strong and weak binding sites; the concentration of TF; and chromatin accessibility. We found that approximately one third of TFs are predicted to bind the genome in a DNA accessibility independent fashion, which includes TFs that can open the chromatin, their co-factors and TFs with similar motifs. Our model predicted this to be the case when the TF binds to its strongest binding regions in the genome, and only a small number of TFs have the capacity to bind dense chromatin at their weakest binding regions, such as CTCF, USF2 and CEBPB. Our study demonstrated that the binding of hundreds of human and mouse TFs is predicted by ChIPanalyser with high accuracy and showed that many TFs can bind dense chromatin.

摘要

转录因子 (TFs) 是通过与 DNA 上的特定序列结合来影响基因表达的蛋白质。TF 与 DNA 的结合受许多因素的控制,包括 DNA 序列、TF 的浓度、染色质可及性和辅助因子。在这里,我们通过使用我们的可解释统计模型 ChIPanalyser 分析 ChIP-seq 数据,系统地研究了数百种 TF 的结合机制。该工具将 DNA 序列结合基序、区分强结合和弱结合位点的能力、TF 的浓度和染色质可及性作为输入。我们发现,大约三分之一的 TF 被预测以不依赖 DNA 可及性的方式结合基因组,其中包括可以打开染色质的 TF、它们的辅助因子和具有相似基序的 TF。当 TF 结合其基因组中最强的结合区域时,我们的模型预测这种情况会发生,而只有少数 TF 具有在其最弱的结合区域(如 CTCF、USF2 和 CEBPB)结合致密染色质的能力。我们的研究表明,数百种人和小鼠 TF 的结合可以被 ChIPanalyser 以高精度预测,并表明许多 TF 可以结合致密染色质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c3/10484684/1f8485fa914a/gkad614figgra1.jpg

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