Histone H3 lysine 4 monomethylation (H3K4me1) and H3 lysine 9 monomethylation (H3K9me1): Distribution and their association in regulating gene expression under hyperglycaemic/hyperinsulinemic conditions in 3T3 cells

Hyperglycemia/hyperinsulinemia are leading cause for the induction type 2 diabetes and the role of post-translational histone modifications in dysregulating the expression of genes has emerged as potential important contributor in the progression of disease. The paradoxical nature of histone H3-Lysine 4 and Lysine 9 mono-methylation (H3K4me1 and H3K9me1) in both gene activation and repression motivated us to elucidate the functional relationship of these histone modifications in regulating expression of genes under hyperglycaemic/hyperinsulinemic condition. Chromatin immunoprecipitation–microarray analysis (ChIP-chip) was performed with H3 acetylation, H3K4me1 and H3K9me1 antibody. CLUSTER analysis of ChIP-chip (Chromatin immunoprecipitation–microarray analysis) data showed that mRNA expression and H3 acetylation/H3K4me1 levels on genes were inversely correlated with H3K9me1 levels on the transcribed regions, after 30 min of insulin stimulation under hyperglycaemic condition. Interestingly, we provide first evidence regarding regulation of histone de/acetylases and de/methylases; Myst4, Jmjd2b, Aof1 and Set by H3Ac, H3K4me1 and H3K9me1 under hyperinsulinemic/hyperglycaemic condition. ChIP–qPCR analysis shows association of increased H3Ac/H3K4me1 and decreased levels of H3K9me1 in up regulation of Myst4, Jmjd2, Set and Aof1 genes. We further analyse promoter occupancy of histone modifications by ChIP walking and observed increased occupancy of H3Ac/H3K4me1 on promoter region (−1000 to −1) of active genes and H3K9me1 on inactive genes under hyperglycemic/hyperinsulinemic condition. To best of our knowledge this is the first report that shows regulation of chromatin remodelling genes by alteration in the occupancy of histone H3Ac/H3K4/K9me on both promoter and transcribed regions.     

ChIPnorm: A Statistical Method for Normalizing and Identifying Differential Regions in Histone Modification ChIP-seq Libraries

The advent of high-throughput technologies such as ChIP-seq has made possible the study of histone modifications. A problem of particular interest is the identification of regions of the genome where different cell types from the same organism exhibit different patterns of histone enrichment. This problem turns out to be surprisingly difficult, even in simple pairwise comparisons, because of the significant level of noise in ChIP-seq data. In this paper we propose a two-stage statistical method, called ChIPnorm, to normalize ChIP-seq data, and to find differential regions in the genome, given two libraries of histone modifications of different cell types. We show that the ChIPnorm method removes most of the noise and bias in the data and outperforms other normalization methods. We correlate the histone marks with gene expression data and confirm that histone modifications H3K27me3 and H3K4me3 act as respectively a repressor and an activator of genes. Compared to what was previously reported in the literature, we find that a substantially higher fraction of bivalent marks in ES cells for H3K27me3 and H3K4me3 move into a K27-only state. We find that most of the promoter regions in protein-coding genes have differential histone-modification sites. The software for this work can be downloaded from http://lcbb.epfl.ch/software.html.     

Active and repressive chromatin are interspersed without spreading in an imprinted gene cluster in the mammalian genome

The Igf2r imprinted cluster is an epigenetic silencing model in which expression of a ncRNA silences multiple genes in cis. Here, we map a 250 kb region in mouse embryonic fibroblast cells to show that histone modifications associated with expressed and silent genes are mutually exclusive and localized to discrete regions. Expressed genes were modified at promoter regions by H3K4me3 + H3K4me2 + H3K9Ac and on putative regulatory elements flanking active promoters by H3K4me2 + H3K9Ac. Silent genes showed two types of nonoverlapping profile. One type spread over large domains of tissue-specific silent genes and contained H3K27me3 alone. A second type formed localized foci on silent imprinted gene promoters and a nonexpressed pseudogene and contained H3K9me3 + H4K20me3 +/- HP1. Thus, mammalian chromosome arms contain active chromatin interspersed with repressive chromatin resembling the type of heterochromatin previously considered a feature of centromeres, telomeres, and the inactive X chromosome.     

Identification of Epigenetic Biomarkers of Lung Adenocarcinoma through Multi-Omics Data Analysis

Epigenetic mechanisms such as DNA methylation or histone modifications are essential for the regulation of gene expression and development of tissues. Alteration of epigenetic modifications can be used as an epigenetic biomarker for diagnosis and as promising targets for epigenetic therapy. A recent study explored cancer-cell specific epigenetic biomarkers by examining different types of epigenetic modifications simultaneously. However, it was based on microarrays and reported biomarkers that were also present in normal cells at a low frequency. Here, we first analyzed multi-omics data (including ChIP-Seq data of six types of histone modifications: H3K27ac, H3K4me1, H3K9me3, H3K36me3, H3K27me3, and H3K4me3) obtained from 26 lung adenocarcinoma cell lines and a normal cell line. We identified six genes with both H3K27ac and H3K4me3 histone modifications in their promoter regions, which were not present in the normal cell line, but present in ≥85% (22 out of 26) and ≤96% (25 out of 26) of the lung adenocarcinoma cell lines. Of these genes, NUP210 (encoding a main component of the nuclear pore complex) was the only gene in which the two modifications were not detected in another normal cell line. RNA-Seq analysis revealed that NUP210 was aberrantly overexpressed among the 26 lung adenocarcinoma cell lines, although the frequency of NUP210 overexpression was lower (19.3%) in 57 lung adenocarcinoma tissue samples studied and stored in another database. This study provides a basis to discover epigenetic biomarkers highly specific to a certain cancer, based on multi-omics data at the cell population level.     

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.