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酵母中广泛存在的可误读的染色质免疫沉淀测序(ChIP-seq)偏差。

Widespread misinterpretable ChIP-seq bias in yeast.

作者信息

Park Daechan, Lee Yaelim, Bhupindersingh Gurvani, Iyer Vishwanath R

机构信息

Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, Department of Molecular Biosciences, University of Texas, Austin, Texas, United States of America.

出版信息

PLoS One. 2013 Dec 9;8(12):e83506. doi: 10.1371/journal.pone.0083506. eCollection 2013.

Abstract

Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is widely used to detect genome-wide interactions between a protein of interest and DNA in vivo. Loci showing strong enrichment over adjacent background regions are typically considered to be sites of binding. Insufficient attention has been given to systematic artifacts inherent to the ChIP-seq procedure that might generate a misleading picture of protein binding to certain loci. We show here that unrelated transcription factors appear to consistently bind to the gene bodies of highly transcribed genes in yeast. Strikingly, several types of negative control experiments, including a protein that is not expected to bind chromatin, also showed similar patterns of strong binding within gene bodies. These false positive signals were evident across sequencing platforms and immunoprecipitation protocols, as well as in previously published datasets from other labs. We show that these false positive signals derive from high rates of transcription, and are inherent to the ChIP procedure, although they are exacerbated by sequencing library construction procedures. This expression bias is strong enough that a known transcriptional repressor like Tup1 can erroneously appear to be an activator. Another type of background bias stems from the inherent nucleosomal structure of chromatin, and can potentially make it seem like certain factors bind nucleosomes even when they don't. Our analysis suggests that a mock ChIP sample offers a better normalization control for the expression bias, whereas the ChIP input is more appropriate for the nucleosomal periodicity bias. While these controls alleviate the effect of the biases to some extent, they are unable to eliminate it completely. Caution is therefore warranted regarding the interpretation of data that seemingly show the association of various transcription and chromatin factors with highly transcribed genes in yeast.

摘要

染色质免疫沉淀测序(ChIP-seq)被广泛用于在体内检测感兴趣的蛋白质与DNA之间的全基因组相互作用。相对于相邻背景区域显示出强烈富集的基因座通常被认为是结合位点。人们对ChIP-seq程序中固有的系统性假象关注不足,这些假象可能会产生蛋白质与某些基因座结合的误导性图景。我们在此表明,在酵母中,不相关的转录因子似乎始终与高转录基因的基因体结合。引人注目的是,包括一种预期不会结合染色质的蛋白质在内的几种类型的阴性对照实验,在基因体内也显示出类似的强结合模式。这些假阳性信号在不同的测序平台和免疫沉淀方案中都很明显,在其他实验室先前发表的数据集中也是如此。我们表明,这些假阳性信号源于高转录率,是ChIP程序所固有的,尽管测序文库构建程序会加剧这种情况。这种表达偏差足够强烈,以至于像Tup1这样已知的转录抑制因子可能会错误地看起来像是激活因子。另一种背景偏差源于染色质固有的核小体结构,并且可能会使某些因子看起来像是结合了核小体,即使它们实际上并没有。我们的分析表明,模拟ChIP样本可为表达偏差提供更好的标准化对照,而ChIP输入则更适合核小体周期性偏差。虽然这些对照在一定程度上减轻了偏差的影响,但它们无法完全消除它。因此,在解释看似显示各种转录和染色质因子与酵母中高转录基因相关的数据时,需要谨慎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3de8/3857294/f7f4b7ebd74c/pone.0083506.g001.jpg

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