Stress‐associated H3K4 methylation accumulates during postnatal development and aging of rhesus macaque brain

Epigenetic modifications are critical determinants of cellular and developmental states. Epigenetic changes, such as decreased H3K27me3 histone methylation on insulin/IGF1 genes, have been previously shown to modulate lifespan through gene expression regulation. However, global epigenetic changes during aging and their biological functions, if any, remain elusive. Here, we examined the histone modification H3K4 dimethylation (H3K4me2) in the prefrontal cortex of individual rhesus macaques at different ages by chromatin immunoprecipitation, followed by deep sequencing (ChIP‐seq) at the whole genome level. Through integrative analysis of the ChIP‐seq profiles with gene expression data, we found that H3K4me2 increased at promoters and enhancers globally during postnatal development and aging, and those that correspond to gene expression changes in cis are enriched for stress responses, such as the DNA damage response. This suggests that metabolic and environmental stresses experienced by an organism are associated with the progressive opening of chromatin. In support of this, we also observed increased expression of two H3K4 methyltransferases, SETD7 and DPY30, in aged macaque brain.     

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.     

Quantitative assessment of chromatin immunoprecipitation grade antibodies directed against histone modifications reveals patterns of co-occurring marks on histone protein molecules

The defining step in most chromatin immunoprecipitation (ChIP) assays is the use of an antibody to enrich for a particular protein or histone modification state associated with segments of chromatin. The specificity of the antibody is critical to the interpretation of the experiment, yet this property is rarely reported. Here, we present a quantitative method using mass spectrometry to characterize the specificity of key histone H3 modification-targeting antibodies that have previously been used to characterize the "histone code." We further extend the use of these antibody reagents to the observation of long range correlations among disparate histone modifications. Using purified human histones representing the mixture of chromatin states present in living cells, we were able to quantify the degree of target enrichment and the specificity of several commonly used, commercially available ChIP grade antibodies. We found significant differences in enrichment efficiency among various reagents directed against four frequently studied chromatin marks: H3K4me2, H3K4me3, H3K9me3, and H3K27me3. For some antibodies, we also detected significant off target enrichment of alternate modifications at the same site (i.e., enrichment of H3K4me2 by an antibody directed against H3K4me3). Through cluster analysis, we were able to recognize patterns of co-enrichment of marks at different sites on the same histone protein. Surprisingly, these co-enrichments corresponded well to "canonical" chromatin states that are exemplary of activated and repressed regions of chromatin. Altogether, our findings suggest that 1) the results of ChIP experiments need to be evaluated with caution given the potential for cross-reactivity of the commonly used histone modification recognizing antibodies, 2) multiple marks with consistent biological interpretation exist on the same histone protein molecule, and 3) some components of the histone code may be transduced on single proteins in living cells.     

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.