Histone modification levels are predictive for gene expression. Proc Natl Acad Sci U S A. 2010;107:2926-2931. [PMID: 20133639 DOI: 10.1073/pnas.0909344107]

Development of homogeneous luminescence assays for histone demethylase catalysis and binding

Covalent modifications to histones play important roles in chromatin dynamics and the regulation of gene expression. The JumonjiC (JmjC)-containing histone demethylases (HDMs) catalyze the demethylation of methylated lysine residues on histone tails. Here we report the development of homogeneous luminescence-based assay methods for measuring the catalytic activity and the binding affinities of peptides to HDMs. The assays use amplified luminescent proximity homogeneous assay (ALPHA) technology, are sensitive and robust, and can be used for small molecule inhibitor screening of HDMs. We have profiled known inhibitors of JMJD2E and demonstrate a correlation between the inhibitor potencies determined by the ALPHA and other types of assays. Although this study focuses on the JMJD2E isoform, the catalytic turnover and binding assays described here can be used in studies on other HDMs. The assays should be useful for the development of small molecule inhibitors selective for HDM isoforms.

Kinetics of re-establishing H3K79 methylation marks in global human chromatin

We employ a stable isotope strategy wherein both histones and their methylations are labeled in synchronized human cells. This allows us to differentiate between old and new methylations on pre-existing versus newly synthesized histones. The strategy is implemented on K79 methylation in an isoform-specific manner for histones H3.1, H3.2, and H3.3. Although levels of H3.3K79 monomethylation are higher than that of H3.2/H3.1, the rate of establishing the K79 methylation is the same for all three isoforms. Surprisingly, we find that pre-existing "old" histones continue to be K79-monomethylated and -dimethylated at a rate equal to the newly synthesized histones. These observations imply that some degree of positional "scrambling" of K79 methylation occurs through the cell cycle.

Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression

Background

In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a complex network that regulate the state of chromatin and processes that depend on it including transcription and DNA replication. Currently, a large number of these epigenetic modifications are being mapped in a variety of cell lines at different stages of development using high throughput sequencing by members of the ENCODE consortium, the NIH Roadmap Epigenomics Program and the Human Epigenome Project. An extremely promising and underexplored area of research is the application of machine learning methods, which are designed to construct predictive network models, to these large-scale epigenomic data sets.

Results

Using a ChIP-Seq data set of 20 histone lysine and arginine methylations and histone variant H2A.Z in human CD4⁺ T-cells, we built predictive models of gene expression as a function of histone modification/variant levels using Multilinear (ML) Regression and Multivariate Adaptive Regression Splines (MARS). Along with extensive crosstalk among the 20 histone methylations, we found H4R3me2 was the most and second most globally repressive histone methylation among the 20 studied in the ML and MARS models, respectively. In support of our finding, a number of experimental studies show that PRMT5-catalyzed symmetric dimethylation of H4R3 is associated with repression of gene expression. This includes a recent study, which demonstrated that H4R3me2 is required for DNMT3A-mediated DNA methylation--a known global repressor of gene expression.

Conclusion

In stark contrast to univariate analysis of the relationship between H4R3me2 and gene expression levels, our study showed that the regulatory role of some modifications like H4R3me2 is masked by confounding variables, but can be elucidated by multivariate/systems-level approaches.

Introduction into the analysis of high-throughput-sequencing based epigenome data

Sequencing-based approaches now allow high-resolution, genome-scale investigation of cellular epigenetic landscapes. For example, mapping of open chromatin regions, post-translational histone modifications and DNA methylation across a whole genome is now feasible, and new non-coding regulatory RNAs can be sensitively identified via RNA sequencing. The resulting large-scale data sets promise to contribute towards a more precise and complete understanding of gene regulation and to yield insights into the interplay between genomes and the environment. In this article, I review some of the conceptual issues and currently available software tools for the analysis of sequencing-based whole-genome epigenetics data.

Coordinated chromatin control: structural and functional linkage of DNA and histone methylation

One of the most fundamental questions in the control of gene expression in mammals is how epigenetic methylation patterns of DNA and histones are established, erased, and recognized. This central process in controlling metazoan gene expression includes coordinated covalent modifications of DNA and its associated histones. This review focuses on recent developments in characterizing the functional links between the methylation status of the DNA and of two particularly important histone marks. Mammalian DNA methylation is intricately connected to the presence of unmodified lysine 4 and methylated lysine 9 residues in histone H3. An interconnected network of methyltransferases, demethylases, and accessory proteins is responsible for changing or maintaining the modification status of specific regions of chromatin. The structural and functional interactions among members of this network are critical to processes that include imprinting and differentiation, dysregulation of which is associated with disorders ranging from inflammation to cancer.

Regulation by polycomb and trithorax group proteins in Arabidopsis

Polycomb group (PcG) and trithorax group (trxG) proteins are key regulators of homeotic genes and have crucial roles in cell proliferation, growth and development. PcG and trxG proteins form higher order protein complexes that contain SET domain proteins, with a histone methyltransferase (HMTase) activity, responsible for the different types of lysine methylation at the N-terminal tails of the core histone proteins. In recent years, genetic studies along with biochemical and cell biological analyses in Arabidopsis have enabled researchers to begin to understand how PcG and trxG proteins are recruited to chromatin and how they regulate their target genes and to elucidate their functions. This review focuses on the advances in our understanding of the biological roles of PcG and trxG proteins, their molecular mechanisms of action and further examines the role of histone marks in PcG and trxG regulation in Arabidopsis.