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结构化核小体指纹图谱能够对调控区域内的染色质结构进行高分辨率映射。

Structured nucleosome fingerprints enable high-resolution mapping of chromatin architecture within regulatory regions.

作者信息

Schep Alicia N, Buenrostro Jason D, Denny Sarah K, Schwartz Katja, Sherlock Gavin, Greenleaf William J

机构信息

Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;

Biophysics Program, Stanford University School of Medicine, Stanford, California 94305, USA;

出版信息

Genome Res. 2015 Nov;25(11):1757-70. doi: 10.1101/gr.192294.115. Epub 2015 Aug 27.

Abstract

Transcription factors canonically bind nucleosome-free DNA, making the positioning of nucleosomes within regulatory regions crucial to the regulation of gene expression. Using the assay of transposase accessible chromatin (ATAC-seq), we observe a highly structured pattern of DNA fragment lengths and positions around nucleosomes in Saccharomyces cerevisiae, and use this distinctive two-dimensional nucleosomal "fingerprint" as the basis for a new nucleosome-positioning algorithm called NucleoATAC. We show that NucleoATAC can identify the rotational and translational positions of nucleosomes with up to base-pair resolution and provide quantitative measures of nucleosome occupancy in S. cerevisiae, Schizosaccharomyces pombe, and human cells. We demonstrate the application of NucleoATAC to a number of outstanding problems in chromatin biology, including analysis of sequence features underlying nucleosome positioning, promoter chromatin architecture across species, identification of transient changes in nucleosome occupancy and positioning during a dynamic cellular response, and integrated analysis of nucleosome occupancy and transcription factor binding.

摘要

转录因子通常结合无核小体的DNA,因此核小体在调控区域内的定位对于基因表达的调控至关重要。通过转座酶可及染色质分析(ATAC-seq),我们在酿酒酵母中观察到围绕核小体的DNA片段长度和位置的高度结构化模式,并将这种独特的二维核小体“指纹”作为一种名为NucleoATAC的新核小体定位算法的基础。我们表明,NucleoATAC可以以高达碱基对的分辨率识别核小体的旋转和平移位置,并提供酿酒酵母、裂殖酵母和人类细胞中核小体占有率的定量测量。我们展示了NucleoATAC在染色质生物学中一些突出问题上的应用,包括分析核小体定位背后的序列特征、跨物种的启动子染色质结构、识别动态细胞反应过程中核小体占有率和定位的瞬时变化,以及核小体占有率和转录因子结合的综合分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3c9/4617971/7c19337d6f5d/1757f01.jpg

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