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与 CTCF、RNAPII 环和基因组窗口中的染色质隔室相关的基因组标记。

Genomic Marks Associated with Chromatin Compartments in the CTCF, RNAPII Loop and Genomic Windows.

机构信息

Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland.

CEZAMAT, Warsaw University of Technology, Poleczki 19, 02-822 Warsaw, Poland.

出版信息

Int J Mol Sci. 2021 Oct 27;22(21):11591. doi: 10.3390/ijms222111591.

Abstract

The nature of genome organization into two basic structural compartments is as yet undiscovered. However, it has been indicated to be a mechanism of gene expression regulation. Using the classification approach, we ranked genomic marks that hint at compartmentalization. We considered a broad range of marks, including GC content, histone modifications, DNA binding proteins, open chromatin, transcription and genome regulatory segmentation in GM12878 cells. Genomic marks were defined over CTCF or RNAPII loops, which are basic elements of genome 3D structure, and over 100 kb genomic windows. Experiments were carried out to empirically assess the whole set of features, as well as the individual features in classification of loops/windows, into compartment A or B. Using Monte Carlo Feature Selection and Analysis of Variance, we constructed a ranking of feature importance for classification. The best simple indicator of compartmentalization is DNase-seq open chromatin measurement for CTCF loops, H3K4me1 for RNAPII loops and H3K79me2 for genomic windows. Among DNA binding proteins, this is RUNX3 transcription factor for loops and RNAPII for genomic windows. Chromatin state prediction methods that indicate active elements like promoters, enhancers or heterochromatin enhance the prediction of loop segregation into compartments. However, H3K9me3, H4K20me1, H3K27me3 histone modifications and GC content poorly indicate compartments.

摘要

基因组组织成两个基本结构区室的性质尚未被发现。然而,它已被表明是一种基因表达调控的机制。使用分类方法,我们对暗示区室化的基因组标记进行了排名。我们考虑了广泛的标记,包括 GC 含量、组蛋白修饰、DNA 结合蛋白、开放染色质、转录和 GM12878 细胞中的基因组调控分段。基因组标记是在 CTCF 或 RNAPII 环上定义的,这些是基因组 3D 结构的基本元素,以及 100kb 以上的基因组窗口。进行了实验来经验性地评估整个特征集,以及在环/窗口分类中单个特征的分类为 A 或 B 区室的能力。使用蒙特卡罗特征选择和方差分析,我们构建了分类特征重要性的排名。区室化的最佳简单指标是 CTCF 环的 DNase-seq 开放染色质测量、RNAPII 环的 H3K4me1 和基因组窗口的 H3K79me2。在 DNA 结合蛋白中,这是环上的 RUNX3 转录因子和基因组窗口上的 RNAPII。指示活跃元件(如启动子、增强子或异染色质)的染色质状态预测方法增强了对环分离到区室的预测。然而,H3K9me3、H4K20me1、H3K27me3 组蛋白修饰和 GC 含量不能很好地指示区室。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57a2/8584073/0d2dc4533646/ijms-22-11591-g001.jpg

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