Distinct Chromatin Signatures Research Articles

Genome-wide nucleosome and transcription factor responses to genetic perturbations reveal chromatin-mediated mechanisms of transcriptional regulation.

Epigenetic mechanisms contribute to gene regulation by altering chromatin accessibility through changes in transcription factor (TF) and nucleosome occupancy throughout the genome. Despite numerous studies focusing on changes in gene expression, the intricate chromatin-mediated regulatory code remains largely unexplored on a comprehensive scale. We address this by employing a factor-agnostic, reverse-genetics approach that uses MNase-seq to capture genome-wide TF and nucleosome occupancies in response to the individual deletion of 201 transcriptional regulators in Saccharomyces cerevisiae, thereby assaying nearly one million mutant-gene interactions. We develop a principled approach to identify and quantify chromatin changes genome-wide, observing differences in TF and nucleosome occupancy that recapitulate well-established pathways identified by gene expression data. We also discover distinct chromatin signatures associated with the up- and downregulation of genes, and use these signatures to reveal regulatory mechanisms previously unexplored in expression-based studies. Finally, we demonstrate that chromatin features are predictive of transcriptional activity and leverage these features to reconstruct chromatin-based transcriptional regulatory networks. Overall, these results illustrate the power of an approach combining genetic perturbation with high-resolution epigenomic profiling; the latter enables a close examination of the interplay between TFs and nucleosomes genome-wide, providing a deeper, more mechanistic understanding of the complex relationship between chromatin organization and transcription.

Nuclear mechanosensing drives chromatin remodelling in persistently activated fibroblasts.

Fibrotic disease is caused by the continuous deposition of extracellular matrix by persistently activated fibroblasts (also known as myofibroblasts), even after the resolution of the injury. Using fibroblasts from porcine aortic valves cultured on hydrogels that can be softened via exposure to ultraviolet light, here we show that increased extracellular stiffness activates the fibroblasts, and that cumulative tension on the nuclear membrane and increases in the activity of histone deacetylases transform transiently activated fibroblasts into myofibroblasts displaying condensed chromatin with genome-wide alterations. The condensed structure of the myofibroblasts is associated with cytoskeletal stability, as indicated by the inhibition of chromatin condensation and myofibroblast persistence after detachment of the nucleus from the cytoskeleton via the displacement of endogenous nesprins from the nuclear envelope. We also show that the chromatin structure of myofibroblasts from patients with aortic valve stenosis is more condensed than that of myofibroblasts from healthy donors. Our findings suggest that nuclear mechanosensing drives distinct chromatin signatures in persistently activated fibroblasts.

Alzheimer's disease: a tale of two diseases?

Sporadic late-onset Alzheimer’s disease (SLOAD) and familial early-onset Alzheimer’s disease (FEOAD) associated with dominant mutations in APP, PSEN1 and PSEN2, are thought to represent a spectrum of the same disorder based on near identical behavioral and histopathological features. Hence, FEOAD transgenic mouse models have been used in past decades as a surrogate to study SLOAD pathogenic mechanisms and as the gold standard to validate drugs used in clinical trials. Unfortunately, such research has yielded little output in terms of therapeutics targeting the disease’s development and progression. In this short review, we interrogate the widely accepted view of one, dimorphic disease through the prism of the Bmi1+/– mouse model and the distinct chromatin signatures observed between SLOAD and FEOAD brains.

Characterization of histone modification patterns and prediction of novel promoters using functional principal component analysis.

Characterization of distinct histone methylation and acetylation binding patterns in promoters and prediction of novel regulatory regions remains an important area of genomic research, as it is hypothesized that distinct chromatin signatures may specify unique genomic functions. However, methods that have been proposed in the literature are either descriptive in nature or are fully parametric and hence more restrictive in pattern discovery. In this article, we propose a two-step non-parametric statistical inference procedure to characterize unique histone modification patterns and apply it to analyzing the binding patterns of four histone marks, H3K4me2, H3K4me3, H3K9ac, and H4K20me1, in human B-lymphoblastoid cells. In the first step, we used a functional principal component analysis method to represent the concatenated binding patterns of these four histone marks around the transcription start sites as smooth curves. In the second step, we clustered these curves to reveal several unique classes of binding patterns. These uncovered patterns were used in turn to scan the whole-genome to predict novel and alternative promoters. Our analyses show that there are three distinct promoter binding patterns of active genes. Further, 19654 regions not within known gene promoters were found to overlap with human ESTs, CpG islands, or common SNPs, indicative of their potential role in gene regulation, including being potential novel promoter regions.

Identification of Two Distinct Classes of the Human INO80 Complex Genome-Wide.

Chromatin remodeling and histone modifying enzymes play a critical role in shaping the regulatory output of a cell. Although much is known about these classes of proteins, identifying the mechanisms by which they coordinate gene expression programs remains an exciting topic of investigation. One factor that may contribute to the targeting and activity of chromatin regulators is local chromatin landscape. We leveraged genomic approaches and publically-available datasets to characterize the chromatin landscape at targets of the human INO80 chromatin remodeling complex (INO80-C). Our data revealed two classes of INO80-C targets with distinct chromatin signatures. The predominant INO80-C class was enriched for open chromatin, H3K27ac, and representative subunits from each of the three INO80-C modules (RUVBL1, RUVBL2, MCRS1, YY1). We named this class Canonical INO80. Notably, we identified an unexpected class of INO80-C targets that contained only the INO80 ATPase and harbored a repressive chromatin signature characterized by inaccessible chromatin, H3K27me3, and the methyltransferase EZH2. We named this class Non-Canonical INO80 (NC-INO80). Biochemical approaches indicated that INO80-C and the H3K27 acetyltransferase P300 physically interact, suggesting INO80-C and P300 may jointly coordinate chromatin accessibility at Canonical INO80 sites. No interaction was detected between INO80-C and EZH2, indicating INO80-C and EZH2 may engage in a separate form of regulatory crosstalk at NC-INO80 targets. Our data indicate that INO80-C is more compositionally heterogenous at its genomic targets than anticipated. Moreover, our data suggest there is an important link between INO80-C and histone modifying enzymes that may have consequences in developmental and pathological contexts.

Distinct chromatin signatures of DNA hypomethylation in aging and cancer.

SummaryCancer is an aging‐associated disease, but the underlying molecular links between these processes are still largely unknown. Gene promoters that become hypermethylated in aging and cancer share a common chromatin signature in ES cells. In addition, there is also global DNA hypomethylation in both processes. However, the similarity of the regions where this loss of DNA methylation occurs is currently not well characterized, and it is unknown if such regions also share a common chromatin signature in aging and cancer. To address this issue, we analyzed TCGA DNA methylation data from a total of 2,311 samples, including control and cancer cases from patients with breast, kidney, thyroid, skin, brain, and lung tumors and healthy blood, and integrated the results with histone, chromatin state, and transcription factor binding site data from the NIH Roadmap Epigenomics and ENCODE projects. We identified 98,857 CpG sites differentially methylated in aging and 286,746 in cancer. Hyper‐ and hypomethylated changes in both processes each had a similar genomic distribution across tissues and displayed tissue‐independent alterations. The identified hypermethylated regions in aging and cancer shared a similar bivalent chromatin signature. In contrast, hypomethylated DNA sequences occurred in very different chromatin contexts. DNA hypomethylated sequences were enriched at genomic regions marked with the activating histone posttranslational modification H3K4me1 in aging, while in cancer, loss of DNA methylation was primarily associated with the repressive H3K9me3 mark. Our results suggest that the role of DNA methylation as a molecular link between aging and cancer is more complex than previously thought.

Epigenetics and Trained Immunity.

A growing body of clinical and experimental evidence has challenged the traditional understanding that only the adaptive immune system can mount immunological memory. Recent findings describe the adaptive characteristics of the innate immune system, underscored by its ability to remember antecedent foreign encounters and respond in a nonspecific sensitized manner to reinfection. This has been termed trained innate immunity. Although beneficial in the context of recurrent infections, this might actually contribute to chronic immune-mediated diseases, such as atherosclerosis. Recent Advances: In line with its proposed role in sustaining cellular memories, epigenetic reprogramming has emerged as a critical determinant of trained immunity. Recent technological and computational advances that improve unbiased acquisition of epigenomic profiles have significantly enhanced our appreciation for the complexities of chromatin architecture in the contexts of diverse immunological challenges. Key to resolving the distinct chromatin signatures of innate immune memory is a comprehensive understanding of the precise physiological targets of regulatory proteins that recognize, deposit, and remove chemical modifications from chromatin as well as other gene-regulating factors. Drawing from a rapidly expanding compendium of experimental and clinical studies, this review details a current perspective of the epigenetic pathways that support the adapted phenotypes of monocytes and macrophages. We explore future strategies that are aimed at exploiting the mechanism of trained immunity to improve the prevention and treatment of infections and immune-mediated chronic disorders.

A computational approach for the functional classification of the epigenome

BackgroundIn the last decade, advanced functional genomics approaches and deep sequencing have allowed large-scale mapping of histone modifications and other epigenetic marks, highlighting functional relationships between chromatin organization and genome function. Here, we propose a novel approach to explore functional interactions between different epigenetic modifications and extract combinatorial profiles that can be used to annotate the chromatin in a finite number of functional classes. Our method is based on non-negative matrix factorization (NMF), an unsupervised learning technique originally employed to decompose high-dimensional data in a reduced number of meaningful patterns. We applied the NMF algorithm to a set of different epigenetic marks, consisting of ChIP-seq assays for multiple histone modifications, Pol II binding and chromatin accessibility assays from human H1 cells.ResultsWe identified a number of chromatin profiles that contain functional information and are biologically interpretable. We also observe that epigenetic profiles are characterized by specific genomic contexts and show significant association with distinct genomic features. Moreover, analysis of RNA-seq data reveals that distinct chromatin signatures correlate with the level of gene expression.ConclusionsOverall, our study highlights the utility of NMF in studying functional relationships between different epigenetic modifications and may provide new biological insights for the interpretation of the chromatin dynamics.

Delineation of metabolic gene clusters in plant genomes by chromatin signatures.

Plants are a tremendous source of diverse chemicals, including many natural product-derived drugs. It has recently become apparent that the genes for the biosynthesis of numerous different types of plant natural products are organized as metabolic gene clusters, thereby unveiling a highly unusual form of plant genome architecture and offering novel avenues for discovery and exploitation of plant specialized metabolism. Here we show that these clustered pathways are characterized by distinct chromatin signatures of histone 3 lysine trimethylation (H3K27me3) and histone 2 variant H2A.Z, associated with cluster repression and activation, respectively, and represent discrete windows of co-regulation in the genome. We further demonstrate that knowledge of these chromatin signatures along with chromatin mutants can be used to mine genomes for cluster discovery. The roles of H3K27me3 and H2A.Z in repression and activation of single genes in plants are well known. However, our discovery of highly localized operon-like co-regulated regions of chromatin modification is unprecedented in plants. Our findings raise intriguing parallels with groups of physically linked multi-gene complexes in animals and with clustered pathways for specialized metabolism in filamentous fungi.

Cause and Consequence of Tethering a SubTAD to Different Nuclear Compartments

SummaryDetailed genomic contact maps have revealed that chromosomes are structurally organized in megabase-sized topologically associated domains (TADs) that encompass smaller subTADs. These domains segregate in the nuclear space to form active and inactive nuclear compartments, but cause and consequence of compartmentalization are largely unknown. Here, we combined lacO/lacR binding platforms with allele-specific 4C technologies to track their precise position in the three-dimensional genome upon recruitment of NANOG, SUV39H1, or EZH2. We observed locked genomic loci resistant to spatial repositioning and unlocked loci that could be repositioned to different nuclear subcompartments with distinct chromatin signatures. Focal protein recruitment caused the entire subTAD, but not surrounding regions, to engage in new genomic contacts. Compartment switching was found uncoupled from transcription changes, and the enzymatic modification of histones per se was insufficient for repositioning. Collectively, this suggests that trans-associated factors influence three-dimensional compartmentalization independent of their cis effect on local chromatin composition and activity.

ChromClust: A semi-supervised chromatin clustering toolkit for mining histone modifications interplay

Mining patterns of histone modifications interplay from epigenomic profiles are one of the leading research areas these days. Various methods based on clustering approaches and hidden Markov models have been presented so far with some limitations. Here we present ChromClust, a semi-supervised clustering tool for mining commonly occurring histone modifications at various locations of the genome. Applying our method to 11 chromatin marks in nine human cell types recovered 11 clusters based on distinct chromatin signatures mapping to various elements of the genome.Our approach is efficient in respect to time and space usage along with the added facility of maintaining database at the backend. It outperforms the existing methods with respect to mining patterns in a semi-supervised fashion mapping to various functional elements of the genome. It will aid in future by saving the resources of time and space along with efficiently retrieving the hidden interplay of histone combinations.

Abstract 2930: Global chromatin profiling reveals NSD2 mutation in pediatric ALL

Abstract Epigenetic dysregulation is an emerging hallmark of cancers. We developed a high-information-content mass spectrometry approach to profile global histone modifications in human cancers. When applied to 115 lines of the Cancer Cell Line Encyclopedia1, this approach identified distinct molecular chromatin signatures. One signature was characterized by increased H3K36 dimethylation, exhibited by several lines harboring NSD2 translocations. A novel NSD2 p.E1099K variant was identified in non-translocated acute lymphoblastic leukemia (ALL) lines sharing this signature. Ectopic expression of the variant induced a chromatin signature characteristic of NSD2 hyperactivation and promoted transformation. NSD2 knockdown selectively inhibited the proliferation of NSD2-mutant lines and impaired the in vivo growth of an NSD2-mutant ALL xenograft. Sequencing analysis of >1000 pediatric cancer genomes identified the NSD2 p.E1099K mutation in 14% of t(12;21)[ETV6-RUNX1]-containing ALLs. These findings identify NSD2 as a potential therapeutic target for pediatric ALL and provide a general framework for the functional annotation of cancer epigenomes. 1. Barretina,J. et al. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature 483, 603-607 (2012). Citation Format: Ho Man Chan, Jacob D. Jaffe, Yan Wang, Jinghui Zhang, Robert Huether, Gregory V. Kryukov, Hyo-eun C. Bhang, Jordan E. Taylor, Min Hu, Nathan P. Englund, Feng Yan, Zhaofu Wang, E Robert McDonald III, Lei Wei, Jing Ma, John Easton, Zhengtian Yu, Rosalie deBeaumount, Veronica Gibaja, Kavitha Venkatesan, Robert Schlegel, William R. Sellers, Nicholas Keen, Jun Liu, Giordano Caponigro, Jordi Barretina, Vesselina G. Cooke, Charles Mullighan, Steven A. Carr, James R. Downing, Levi A. Garraway, Frank Stegmeier. Global chromatin profiling reveals NSD2 mutation in pediatric ALL. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2930. doi:10.1158/1538-7445.AM2014-2930

Global chromatin profiling reveals NSD2 mutations in pediatric acute lymphoblastic leukemia

Epigenetic dysregulation is an emerging hallmark of cancers. We developed a high-information-content mass spectrometry approach to profile global histone modifications in human cancers. When applied to 115 lines from the Cancer Cell Line Encyclopedia, this approach identified distinct molecular chromatin signatures. One signature was characterized by increased histone 3 lysine 36 (H3K36) dimethylation, exhibited by several lines harboring translocations in NSD2, which encodes a methyltransferase. A previously unknown NSD2 p.Glu1099Lys (p.E1099K) variant was identified in nontranslocated acute lymphoblastic leukemia (ALL) cell lines sharing this signature. Ectopic expression of the variant induced a chromatin signature characteristic of NSD2 hyperactivation and promoted transformation. NSD2 knockdown selectively inhibited the proliferation of NSD2-mutant lines and impaired the in vivo growth of an NSD2-mutant ALL xenograft. Sequencing analysis of >1,000 pediatric cancer genomes identified the NSD2 p.E1099K alteration in 14% of t(12;21) ETV6-RUNX1-containing ALLs. These findings identify NSD2 as a potential therapeutic target for pediatric ALL and provide a general framework for the functional annotation of cancer epigenomes.

Abstract PR01: Global chromatin profiling identifies NSD2 mutations in pediatric acute lymphoblastic leukemia

Abstract Epigenetic dysregulation is an emerging hallmark of cancers, and the identification of recurrent somatic mutations in chromatin modifying enzymes implies a causal role for altered chromatin states in tumorigenesis. While the genomic characterization of cancers is well advanced, our current understanding of cancer epigenomes is limited. Here, we developed a high-information-content mass spectrometry approach to profile global histone modifications in human cancer cells. When applied to 115 cell lines of the Cancer Cell Line Encyclopedia, this approach identified distinct molecular chromatin signatures (MCS) that provided novel insights into their epigenetic states. One MCS cluster, characterized by high H3K27 trimethylation, strongly correlated with EZH2 gain-of-function mutations, whereas another MCS cluster provided functional epigenetic correlates of EZH2 loss-of-function mutations. A third MCS cluster was characterized by increased H3K36 dimethylation and contained several cell lines harboring NSD2 translocations. Analysis of genomic correlates of the remaining cell lines within this third cluster identified a novel NSD2 E1099K variant in acute lymphoblastic leukemia (ALL) lines. Ectopic expression of the NSD2 E1099K variant induced a MCS profile characteristic of NSD2 hyperactivation and promoted transformation. Moreover, NSD2 knockdown selectively inhibited the proliferation of cell lines harboring NSD2 mutations. Massively parallel sequencing analysis of over 1000 pediatric cancer genomes identified the same NSD2 E1099K mutation in 14% of t(12;21)[ETV6-RUNX1]-containing ALLs. Together, these findings identify NSD2 as a potential therapeutic target for pediatric ALL and provide a general framework for the functional annotation of cancer epigenomes. Citation Format: Jacob Jaffe, Yan Wang, HoMan Chan, Jinghui Zhang, Roberts Huether, Gregory Kryukov, Jordan Taylor, Min Hu, Nathan Englund, Feng Yan, Zhaofu Wang, Lei Wei, Lei Wei, Jing Ma, John Easton, William R. Sellers, Nicholas Keen, Jun Liu, Jun Liu, Charles Mullighan, Steven Carr, James Downing, Levi Garraway, Frank Stegmeier. Global chromatin profiling identifies NSD2 mutations in pediatric acute lymphoblastic leukemia. [abstract]. In: Proceedings of the AACR Special Conference on Chromatin and Epigenetics in Cancer; Jun 19-22, 2013; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2013;73(13 Suppl):Abstract nr PR01.

Butyrate Induced IGF2 Activation Correlated with Distinct Chromatin Signatures Due to Histone Modification

Histone modification has emerged as a very important mechanism regulating the transcriptional status of the genome. Insulin-like growth factor 2 (IGF2) is a peptide hormone controlling various cellular processes, including proliferation and apoptosis. H19 gene is closely linked to IGF2 gene, and IGF2 and H19 are reciprocally regulated imprinted genes. The epigenetic signature of H19 promoter (hypermethylation) on the paternal allele plays a vital role in allowing the expression of the paternal allele of IGF2.46 Our previous studies demonstrate that butyrate regulates the expression of IGF2 as well as genes encoding IGF Binding proteins. To obtain further understanding of histone modification and its regulatory potentials in controlling IGF2/H19 gene expression, we investigated the histone modification status of some key histones associated with the expression of IGF2/H19 genes in bovine cells using RNA-seq in combination with Chip-seq technology. A high-resolution map of the major chromatin modification at the IGF2/H19 locus induced by butyrate was constructed to illustrate the fundamental association of the chromatin modification landscape that may play a role in the activation of the IGF2 gene. High-definition epigenomic landscape mapping revealed that IGF2 and H19 have distinct chromatin modification patterns at their coding and promoter regions, such as TSSs and TTSs. Moreover, the correlation between the differentially methylated regions (DMRs) of IGF2/H19 locus and histone modification (acetylation and methylation) indicated that epigenetic signatures/markers of DNA methylation, histone methylation and histone acetylation were differentially distributed on the expressed IGF2 and silenced H19 genes. Our evidence also suggests that butyrate-induced regional changes of histone acetylation statusin the upstream regulation domain of H19 may be related to the reduced expression of H19 and strong activation of IGF2. Our results provided insights into the mechanism of butyrate-induced loss of imprinting (LOI) of IGF2 and regulation of gene expression by histone modification.

Remodelers Organize Cellular Chromatin by Counteracting Intrinsic Histone-DNA Sequence Preferences in a Class-Specific Manner

The nucleosome is the fundamental repeating unit of eukaryotic chromatin. Here, we assessed the interplay between DNA sequence and ATP-dependent chromatin-remodeling factors (remodelers) in the nucleosomal organization of a eukaryotic genome. We compared the genome-wide distribution of Drosophila NURD, (P)BAP, INO80, and ISWI, representing the four major remodeler families. Each remodeler has a unique set of genomic targets and generates distinct chromatin signatures. Remodeler loci have characteristic DNA sequence features, predicted to influence nucleosome formation. Strikingly, remodelers counteract DNA sequence-driven nucleosome distribution in two distinct ways. NURD, (P)BAP, and INO80 increase histone density at their target sequences, which intrinsically disfavor positioned nucleosome formation. In contrast, ISWI promotes open chromatin at sites that are propitious for precise nucleosome placement. Remodelers influence nucleosome organization genome-wide, reflecting their high genomic density and the propagation of nucleosome redistribution beyond remodeler binding sites. In transcriptionally silent early embryos, nucleosome organization correlates with intrinsic histone-DNA sequence preferences. Following differential expression of the genome, however, this relationship diminishes and eventually disappears. We conclude that the cellular nucleosome landscape is the result of the balance between DNA sequence-driven nucleosome placement and active nucleosome repositioning by remodelers and the transcription machinery.

Comprehensive analysis of the chromatin landscape in Drosophila melanogaster

SummaryChromatin is composed of DNA and a variety of modified histones and non-histone proteins, which impact cell differentiation, gene regulation and other key cellular processes. We present a genome-wide chromatin landscape for Drosophila melanogaster based on 18 histone modifications, summarized by 9 prevalent combinatorial patterns. Integrative analysis with other data (non-histone chromatin proteins, DNaseI hypersensitivity, GRO-seq reads produced by engaged polymerase, short/long RNA products) reveals discrete characteristics of chromosomes, genes, regulatory elements, and other functional domains. We find that active genes display distinct chromatin signatures that are correlated with disparate gene lengths, exon patterns, regulatory functions, and genomic contexts. We also demonstrate a diversity of signatures among Polycomb targets that include a subset with paused polymerase. This systematic profiling and integrative analysis of chromatin signatures provides insights into how genomic elements are regulated, and will serve as a resource for future experimental investigations of genome structure and function.

Discovering Cooperative Relationships of Chromatin Modifications in Human T Cells Based on a Proposed Closeness Measure

BackgroundEukaryotic transcription is accompanied by combinatorial chromatin modifications that serve as functional epigenetic markers. Composition of chromatin modifications specifies histone codes that regulate the associated gene. Discovering novel chromatin regulatory relationships are of general interest.Methodology/Principal FindingsBased on the premise that the interaction of chromatin modifications is hypothesized to influence CpG methylation, we present a closeness measure to characterize the regulatory interactions of epigenomic features. The closeness measure is applied to genome-wide CpG methylation and histone modification datasets in human CD4+T cells to select a subset of potential features. To uncover epigenomic and genomic patterns, CpG loci are clustered into nine modules associated with distinct chromatin and genomic signatures based on terms of biological function. We then performed Bayesian network inference to uncover inherent regulatory relationships from the feature selected closeness measure profile and all nine module-specific profiles respectively. The global and module-specific network exhibits topological proximity and modularity. We found that the regulatory patterns of chromatin modifications differ significantly across modules and that distinct patterns are related to specific transcriptional levels and biological function. DNA methylation and genomic features are found to have little regulatory function. The regulatory relationships were partly validated by literature reviews. We also used partial correlation analysis in other cells to verify novel regulatory relationships.Conclusions/SignificanceThe interactions among chromatin modifications and genomic elements characterized by a closeness measure help elucidate cooperative patterns of chromatin modification in transcriptional regulation and help decipher complex histone codes.

Discovery and Annotation of Functional Chromatin Signatures in the Human Genome

Transcriptional regulation in human cells is a complex process involving a multitude of regulatory elements encoded by the genome. Recent studies have shown that distinct chromatin signatures mark a variety of functional genomic elements and that subtle variations of these signatures mark elements with different functions. To identify novel chromatin signatures in the human genome, we apply a de novo pattern-finding algorithm to genome-wide maps of histone modifications. We recover previously known chromatin signatures associated with promoters and enhancers. We also observe several chromatin signatures with strong enrichment of H3K36me3 marking exons. Closer examination reveals that H3K36me3 is found on well-positioned nucleosomes at exon 5′ ends, and that this modification is a global mark of exon expression that also correlates with alternative splicing. Additionally, we observe strong enrichment of H2BK5me1 and H4K20me1 at highly expressed exons near the 5′ end, in contrast to the opposite distribution of H3K36me3-marked exons. Finally, we also recover frequently occurring chromatin signatures displaying enrichment of repressive histone modifications. These signatures mark distinct repeat sequences and are associated with distinct modes of gene repression. Together, these results highlight the rich information embedded in the human epigenome and underscore its value in studying gene regulation.

Prediction of regulatory elements in mammalian genomes using chromatin signatures

BackgroundRecent genomic scale survey of epigenetic states in the mammalian genomes has shown that promoters and enhancers are correlated with distinct chromatin signatures, providing a pragmatic way for systematic mapping of these regulatory elements in the genome. With rapid accumulation of chromatin modification profiles in the genome of various organisms and cell types, this chromatin based approach promises to uncover many new regulatory elements, but computational methods to effectively extract information from these datasets are still limited.ResultsWe present here a supervised learning method to predict promoters and enhancers based on their unique chromatin modification signatures. We trained Hidden Markov models (HMMs) on the histone modification data for known promoters and enhancers, and then used the trained HMMs to identify promoter or enhancer like sequences in the human genome. Using a simulated annealing (SA) procedure, we searched for the most informative combination and the optimal window size of histone marks.ConclusionCompared with the previous methods, the HMM method can capture the complex patterns of histone modifications particularly from the weak signals. Cross validation and scanning the ENCODE regions showed that our method outperforms the previous profile-based method in mapping promoters and enhancers. We also showed that including more histone marks can further boost the performance of our method. This observation suggests that the HMM is robust and is capable of integrating information from multiple histone marks. To further demonstrate the usefulness of our method, we applied it to analyzing genome wide ChIP-Seq data in three mouse cell lines and correctly predicted active and inactive promoters with positive predictive values of more than 80%. The software is available at .