Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia, 119334.
Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia, 119234.
BMC Bioinformatics. 2022 Apr 2;23(1):116. doi: 10.1186/s12859-022-04654-6.
Understanding the role of various factors in 3D genome organization is essential to determine their impact on shaping large-scale chromatin units such as euchromatin (A) and heterochromatin (B) compartments. At this level, chromatin compaction is extensively modulated when transcription and epigenetic profiles change upon cell differentiation and response to various external impacts. However, detailed analysis of chromatin contact patterns within and between compartments is complicated because of a lack of suitable computational methods.
We developed a tool, Pentad, to perform calculation, visualisation and quantitative analysis of the average chromatin compartment from the Hi-C matrices in cis, trans, and specified genomic distances. As we demonstrated by applying Pentad to publicly available Hi-C datasets, it helps to reliably detect redistribution of contact frequency in the chromatin compartments and assess alterations in the compartment strength.
Pentad is a simple tool for the analysis of changes in chromatin compartmentalization in various biological conditions. Pentad is freely available at https://github.com/magnitov/pentad .
了解各种因素在三维基因组组织中的作用对于确定它们对形成大型染色质单位(如常染色质(A)和异染色质(B)区室)的影响至关重要。在这个水平上,当转录和表观遗传特征在细胞分化和对各种外部影响的反应中发生变化时,染色质的紧密程度会被广泛调节。然而,由于缺乏合适的计算方法,对区室内和区室之间的染色质接触模式进行详细分析变得复杂。
我们开发了一种工具 Pentad,用于从 cis、trans 和指定基因组距离的 Hi-C 矩阵中计算、可视化和定量分析平均染色质区室。正如我们通过将 Pentad 应用于公开可用的 Hi-C 数据集所证明的那样,它有助于可靠地检测染色质区室中接触频率的重新分布,并评估区室强度的变化。
Pentad 是分析各种生物条件下染色质区室化变化的简单工具。Pentad 可在 https://github.com/magnitov/pentad 上免费获取。