通过系统分析揭示组蛋白修饰模式与转录因子结合之间的关联

转录因子对顺势调控元件的选择性结合,在哺乳动物细胞类型特异的基因表达中扮演重要的角色.这个过程受到染色质表观遗传状态的潜在调控.近期,染色质免疫共沉淀结合测序的研究提供了大量泛基因组水平的数据,阐述转录因子结合以及组蛋白修饰的位点,这为系统地研究转录因子和表观遗传标记之间的空间及调控关系提供了基础.该研究对公共数据库中的染色质免疫共沉淀结合测序数据进行整合分析,涉及5个细胞系中的85种转录因子、9种组蛋白修饰,目的是研究转录因子结合位点与组蛋白修饰模式以及基因表达在泛基因组水平上的关联.作者发现,不同转录因子与组蛋白修饰的共定位模式高度一致,并且组蛋白修饰在距离转录因子结合位点约500碱基对的位置富集.作者还发现,转录因子结合位点的占有率与活性组蛋白修饰的水平和双峰模式正相关,并且启动子区域组蛋白修饰的双峰和共定位模式和基因的高转录水平相一致.组蛋白修饰模式、转录因子结合位点的占有率与基因转录之间的关联暗示了细胞可能利用的基因表达调控机制.     

Predicting chromatin organization using histone marks

Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have developed a computational model integrating Hi-C and histone mark ChIP-seq data to predict two important features of chromatin organization: chromatin interaction hubs and topologically associated domain (TAD) boundaries. Our model accurately and robustly predicts these features across datasets and cell types. Cell-type specific histone mark information is required for prediction of chromatin interaction hubs but not for TAD boundaries. Our predictions provide a useful guide for the exploration of chromatin organization.

Electronic supplementary material

The online version of this article (doi:10.1186/s13059-015-0740-z) contains supplementary material, which is available to authorized users.     

Genome-wide evaluation of histone methylation changes associated with leaf senescence in Arabidopsis

Leaf senescence is the orderly dismantling of older tissue that allows recycling of nutrients to developing portions of the plant and is accompanied by major changes in gene expression. Histone modifications correlate to levels of gene expression, and this study utilizes ChIP-seq to classify activating H3K4me3 and silencing H3K27me3 marks on a genome-wide scale for soil-grown mature and naturally senescent Arabidopsis leaves. ChIPnorm was used to normalize data sets and identify genomic regions with significant differences in the two histone methylation patterns, and the differences were correlated to changes in gene expression. Genes that showed an increase in the H3K4me3 mark in older leaves were senescence up-regulated, while genes that showed a decrease in the H3K4me3 mark in the older leaves were senescence down-regulated. For the H3K27me3 modification, genes that lost the H3K27me3 mark in older tissue were senescence up-regulated. Only a small number of genes gained the H3K27me3 mark, and these were senescence down-regulated. Approximately 50% of senescence up-regulated genes lacked the H3K4me3 mark in both mature and senescent leaf tissue. Two of these genes, SAG12 and At1g73220, display strong senescence up-regulation without the activating H3K4me3 histone modification. This study provides an initial epigenetic framework for the developmental transition into senescence.     

Effects of chronic exposure to arsenic and estrogen on epigenetic regulatory genes expression and epigenetic code in human prostate epithelial cells

Chronic exposures to arsenic and estrogen are known risk factors for prostate cancer. Though the evidence suggests that exposure to arsenic or estrogens can disrupt normal DNA methylation patterns and histone modifications, the mechanisms by which these chemicals induce epigenetic changes are not fully understood. Moreover, the epigenetic effects of co-exposure to these two chemicals are not known. Therefore, the objective of this study was to evaluate the effects of chronic exposure to arsenic and estrogen, both alone and in combination, on the expression of epigenetic regulatory genes, their consequences on DNA methylation, and histone modifications. Human prostate epithelial cells, RWPE-1, chronically exposed to arsenic and estrogen alone and in combination were used for analysis of epigenetic regulatory genes expression, global DNA methylation changes, and histone modifications at protein level. The result of this study revealed that exposure to arsenic, estrogen, and their combination alters the expression of epigenetic regulatory genes and changes global DNA methylation and histone modification patterns in RWPE-1 cells. These changes were significantly greater in arsenic and estrogen combination treated group than individually treated group. The findings of this study will help explain the epigenetic mechanism of arsenic- and/or estrogen-induced prostate carcinogenesis.     

多组学大数据整合分析揭示早期胚胎发育过程中基因表达调控信息的变化规律

摘要 目的：探究哺乳动物早期胚胎发育过程中基因表达调控信息的变化规律。方法：收集小鼠早期胚胎发育各时期的RNA-seq,ATAC-seq,MethylC-Seq和H3K4me3 ChIP-seq数据进行整合分析,观察小鼠早期胚胎发育各时期转录因子表达量的变化,计算各时期基因表达量与转录因子结合位点数量及染色质可及性的相关性,筛选各时期表达量前10%的基因,统计其表达量和转录因子占比,并进行启动子可及性分析。根据前期报道的转录因子三节点调控网络,对早期胚胎各时期转录因子调控网络的富集模式进行分析。根据多组学数据分析结果,推测早期胚胎发育调控过程中转录因子和表观遗传修饰信息的共调控模型。结果：转录因子数量和调控关系变化以及染色质可及性、DNA甲基化修饰、组蛋白修饰等表观遗传修饰共同调控早期胚胎发育各时期的基因表达,这些因素在不同时期发挥不同程度的调控作用。结论：转录因子和表观遗传修饰在早期胚胎发育过程中动态调控基因表达。     

StressDB: a locally installable web-based relational microarray database designed for small user communities

We have built a microarray database, StressDB, for management of microarray data from our studies on stress-modulated genes in Arabidopsis. StressDB provides small user groups with a locally installable web-based relational microarray database. It has a simple and intuitive architecture and has been designed for cDNA microarray technology users. StressDB uses Windows(trade mark) 2000 as the centralized database server with Oracle(trade mark) 8i as the relational database management system. It allows users to manage microarray data and data-related biological information over the Internet using a web browser. The source-code is currently available on request from the authors and will soon be made freely available for downloading from our website athttp://arastressdb.cac.psu.edu.     

An HMM approach to genome-wide identification of differential histone modification sites from ChIP-seq data

MOTIVATION: Epigenetic modifications are one of the critical factors to regulate gene expression and genome function. Among different epigenetic modifications, the differential histone modification sites (DHMSs) are of great interest to study the dynamic nature of epigenetic and gene expression regulations among various cell types, stages or environmental responses. To capture the histone modifications at whole genome scale, ChIP-seq technology is becoming a robust and comprehensive approach. Thus the DHMSs are potentially identifiable by comparing two ChIP-seq libraries. However, little has been addressed on this issue in literature. RESULTS: Aiming at identifying DHMSs, we propose an approach called ChIPDiff for the genome-wide comparison of histone modification sites identified by ChIP-seq. Based on the observations of ChIP fragment counts, the proposed approach employs a hidden Markov model (HMM) to infer the states of histone modification changes at each genomic location. We evaluated the performance of ChIPDiff by comparing the H3K27me3 modification sites between mouse embryonic stem cell (ESC) and neural progenitor cell (NPC). We demonstrated that the H3K27me3 DHMSs identified by our approach are of high sensitivity, specificity and technical reproducibility. ChIPDiff was further applied to uncover the differential H3K4me3 and H3K36me3 sites between different cell states. Interesting biological discoveries were achieved from such comparison in our study.