570 research outputs found

    From Linear Genes to Epigenetic Inheritance of Three-dimensional Epigenomes

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    Fifty years ago Jacob and Monod reported their findings on the regulation of gene activity. Working on lambda bacteriophage lysogeny and the regulation of the production of an enzyme that cleaves lactose, they observed that its production was induced by the presence of lactose in the medium and came to general conclusions about gene expression that still hold true today. Thanks to decades of intense multidisciplinary research, these conclusions have been extended by several fundamental discoveries. In particular, gene regulatory circuits include the ability to propagate the memory of a specific gene regulatory state long after being established and even when the original inducer is no longer present. Furthermore, in addition to being regulated by binding of regulators such as RNAs or proteins in the vicinity of the site of transcription initiation, genes can be regulated by factor binding at incredible distances from their transcriptional start sites. Prominent among the regulatory components involved in these processes are Polycomb and Trithorax group proteins, pleiotropic gene regulators of critical importance in development, physiology and disease

    Molecular basis for targeting PRC1 to polycomb response elements

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    Targeting of polycombs to DNA in EMT

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    We here describe the conceptual advance provided by the study by Battistelli and coworkers (PMID: 27452518), that shed light on a molecular mechanism of Polycomb targeting in the biological process known as Epithelial-to-Mesenchymal Transition (EMT). In this paper, different working hypotheses of how EZH2 gets to its genomic targets have been reconciled and a new paradigm of function for a lncRNA is highlighted. The interest may also arise from the clarification of the role of a lncRNA as a new molecular player in EMT regulation. This evidence holds promise for the development of novel therapeutic targets in carcinoma progression

    Whole-genome analysis of histone H3 lysine 27 trimethylation in Arabidopsis

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    Trimethylation of histone H3 lysine 27 (H3K27me3) plays critical roles in regulating animal development, and in several cases, H3K27me3 is also required for the proper expression of developmentally important genes in plants. However, the extent to which H3K27me3 regulates plant genes on a genome-wide scale remains unknown. In addition, it is not clear whether the establishment and spreading of H3K27me3 occur through the same mechanisms in plants and animals. We identified regions containing H3K27me3 in the genome of the flowering plant Arabidopsis thaliana using a high-density whole-genome tiling microarray. The results suggest that H3K27me3 is a major silencing mechanism in plants that regulates an unexpectedly large number of genes in Arabidopsis (~4,400), and that the maintenance of H3K27me3 is largely independent of other epigenetic pathways, such as DNA methylation or RNA interference. Unlike in animals, where H3K27m3 occupies large genomic regions, in Arabidopsis, we found that H3K27m3 domains were largely restricted to the transcribed regions of single genes. Furthermore, unlike in animals systems, H3K27m3 domains were not preferentially associated with low-nucleosome density regions. The results suggest that different mechanisms may underlie the establishment and spreading of H3K27me3 in plants and animals

    Comprehensive analysis of the chromatin landscape in Drosophila melanogaster.

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    Chromatin is composed of DNA and a variety of modified histones and non-histone proteins, which have an impact on cell differentiation, gene regulation and other key cellular processes. Here we present a genome-wide chromatin landscape for Drosophila melanogaster based on eighteen histone modifications, summarized by nine prevalent combinatorial patterns. Integrative analysis with other data (non-histone chromatin proteins, DNase I 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

    Quantitative analysis of polycomb response elements (PREs) at identical genomic locations distinguishes contributions of PRE sequence and genomic environment

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    <p>Abstract</p> <p>Background</p> <p>Polycomb/Trithorax response elements (PREs) are <it>cis</it>-regulatory elements essential for the regulation of several hundred developmentally important genes. However, the precise sequence requirements for PRE function are not fully understood, and it is also unclear whether these elements all function in a similar manner. <it>Drosophila </it>PRE reporter assays typically rely on random integration by P-element insertion, but PREs are extremely sensitive to genomic position.</p> <p>Results</p> <p>We adapted the ΦC31 site-specific integration tool to enable systematic quantitative comparison of PREs and sequence variants at identical genomic locations. In this adaptation, a <it>miniwhite </it>(<it>mw</it>) reporter in combination with eye-pigment analysis gives a quantitative readout of PRE function. We compared the Hox PRE <it>Frontabdominal-7 </it>(<it>Fab-7</it>) with a PRE from the <it>vestigial </it>(<it>vg</it>) gene at four landing sites. The analysis revealed that the <it>Fab-7 </it>and <it>vg </it>PREs have fundamentally different properties, both in terms of their interaction with the genomic environment at each site and their inherent silencing abilities. Furthermore, we used the ΦC31 tool to examine the effect of deletions and mutations in the <it>vg </it>PRE, identifying a 106 bp region containing a previously predicted motif (GTGT) that is essential for silencing.</p> <p>Conclusions</p> <p>This analysis showed that different PREs have quantifiably different properties, and that changes in as few as four base pairs have profound effects on PRE function, thus illustrating the power and sensitivity of ΦC31 site-specific integration as a tool for the rapid and quantitative dissection of elements of PRE design.</p

    MOCCA: a fexible suite for modelling DNA sequence motif occurrence combinatorics

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    Background Cis-regulatory elements (CREs) are DNA sequence segments that regulate gene expression. Among CREs are promoters, enhancers, Boundary Elements (BEs) and Polycomb Response Elements (PREs), all of which are enriched in specific sequence motifs that form particular occurrence landscapes. We have recently introduced a hierarchical machine learning approach (SVM-MOCCA) in which Support Vector Machines (SVMs) are applied on the level of individual motif occurrences, modelling local sequence composition, and then combined for the prediction of whole regulatory elements. We used SVM-MOCCA to predict PREs in Drosophila and found that it was superior to other methods. However, we did not publish a polished implementation of SVM-MOCCA, which can be useful for other researchers, and we only tested SVM-MOCCA with IUPAC motifs and PREs. Results We here present an expanded suite for modelling CRE sequences in terms of motif occurrence combinatorics—Motif Occurrence Combinatorics Classification Algorithms (MOCCA). MOCCA contains efficient implementations of several modelling methods, including SVM-MOCCA, and a new method, RF-MOCCA, a Random Forest–derivative of SVM-MOCCA. We used SVM-MOCCA and RF-MOCCA to model Drosophila PREs and BEs in cross-validation experiments, making this the first study to model PREs with Random Forests and the first study that applies the hierarchical MOCCA approach to the prediction of BEs. Both models significantly improve generalization to PREs and boundary elements beyond that of previous methods—including 4-spectrum and motif occurrence frequency Support Vector Machines and Random Forests—, with RF-MOCCA yielding the best results. Conclusion MOCCA is a flexible and powerful suite of tools for the motif-based modelling of CRE sequences in terms of motif composition. MOCCA can be applied to any new CRE modelling problems where motifs have been identified. MOCCA supports IUPAC and Position Weight Matrix (PWM) motifs. For ease of use, MOCCA implements generation of negative training data, and additionally a mode that requires only that the user specifies positives, motifs and a genome. MOCCA is licensed under the MIT license and is available on Github at https://github.com/bjornbredesen/MOCCA.publishedVersio

    Roles of Individual Protein in de novo Polycomb Protein Recruitment

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    Polycomb Group (PcG) proteins are evolutionarily conserved epigenetic transcriptional regulators that maintain the transcriptional repression of silenced genes by maintaining heritable chromatin states. PcG proteins first discovered as repressors of Hox genes in Drosophila, later were shown to regulate a wide range of genes. In mammals, PcG proteins are involved in maintaining pluripotent state of stem cells and controlling cell differentiation. Misexpression of PcG protein leads to cancers like lymphoma and melanoma. PcG proteins maintain rather than initiate transcriptional repression, once PcG – mediated repression is established it can be maintained through an unlimited number of cycles. Most studies of PcG proteins are in vitro or focus on maintenance phase of repression. Little is known about the molecular mechanisms by which PcG proteins are initially recruited to target genes. The challenge of obtaining a homogenous population of cells in a certain developmental stage in which a target gene is uniformly repressed by PcG proteins, creates a major difficulty in studying recruitment of PcG proteins in vivo. To solve this problem, our lab previously generated a genetic system in which giant (gt), a PcG target gene, is ubiquitously repressed. In embryos produced by bcd osk tsl homozygous mother, maternal Hunchback (Hb) is ubiquitously expressed due to lack of osk. There is no zygotic Hb due to lack of bcd and tsl. gt remained repressed after maternal Hb is completely degraded at nuclear cycle 14, at the same time PcG proteins take over repression. Time course chromatin immunoprecipitation (ChIP) assay has previously been done on bcd osk tsl system to determine proteins distribution when PcG proteins take over repression. To study contributions of various proteins involved in recruitment, we knocked down each protein by RNAi in bcd osk tsl background followed by ChIP assays on embryos of different stages. The goal of my research is to define the roles of individual PcG proteins (as complexes) as well as participated transcription factors in facilitating de novo establishment of PcG silencing

    A Novel Human Polycomb Binding Site Acts As a Functional Polycomb Response Element in Drosophila

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    Polycomb group (PcG) proteins are key chromatin regulators implicated in multiple processes including embryonic development, tissue homeostasis, genomic imprinting, X-chromosome inactivation, and germ cell differentiation. The PcG proteins recognize target genomic loci through cis DNA sequences known as Polycomb Response Elements (PREs), which are well characterized in Drosophila. However, mammalian PREs have been elusive until two groups reported putative mammalian PREs recently. Consistent with the existence of mammalian PREs, here we report the identification and characterization of a potential PRE from human T cells. The putative human PRE has enriched binding of PcG proteins, and such binding is dependent on a key PcG component SUZ12. We demonstrate that the putative human PRE carries both genetic and molecular features of Drosophila PRE in transgenic flies, implying that not only the trans PcG proteins but also certain features of the cis PREs are conserved between mammals and Drosophila
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