Chromatin Accessibility and the Regulatory Epigenome
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Chromatin Remodeling in Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Supervised Undergraduate Student Research Chancellor’s Honors Program Projects and Creative Work Spring 5-2005 Chromatin Remodeling in Mice Stephen James Dolgner University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_chanhonoproj Recommended Citation Dolgner, Stephen James, "Chromatin Remodeling in Mice" (2005). Chancellor’s Honors Program Projects. https://trace.tennessee.edu/utk_chanhonoproj/843 This is brought to you for free and open access by the Supervised Undergraduate Student Research and Creative Work at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Chancellor’s Honors Program Projects by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Chromatin Remodeling in Mice Stephen Dolgner Advisor: Dr. Sundaresan Venkatachalam May 2005 ABSTRACT Controlling gene regulation is an important aspect in the life of cells that provides them the ability to carry out their functional roles within an organism. Unregulated or misregulated gene expression can lead to cell immortalization or death. Chromatin remodeling functions as a regulator for many important DNA functions including transcription, the first step of gene expression in cells. The Chromodomain-Helicase DNA binding domain gene family (CHD) is evolutionarily conserved and has distinct structural motifs that indicate a role in chromatin remodeling and DNA repair. The CHD proteins have both helicase activity, allowing the winding and unwinding of DNA, and an effect on histone acetylation through their role of the Nucleosome Remodeling and Histone Deacetylation (NuRD) complex. The NuRD complex participates in the deacetylation of chromatin histones, in addition to orchestrating ATP-dependent remodeling of the the chromatin structure. -
Epigenome Chaos: Stochastic and Deterministic DNA Methylation Events Drive Cancer Evolution
cancers Review Epigenome Chaos: Stochastic and Deterministic DNA Methylation Events Drive Cancer Evolution Giusi Russo 1, Alfonso Tramontano 2, Ilaria Iodice 1, Lorenzo Chiariotti 1 and Antonio Pezone 1,* 1 Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli “Federico II”, 80131 Naples, Italy; [email protected] (G.R.); [email protected] (I.I.); [email protected] (L.C.) 2 Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy; [email protected] * Correspondence: [email protected] or [email protected]; Tel.: +39-081-746-3614 Simple Summary: Cancer is a group of diseases characterized by abnormal cell growth with a high potential to invade other tissues. Genetic abnormalities and epigenetic alterations found in tumors can be due to high levels of DNA damage and repair. These can be transmitted to daughter cells, which assuming other alterations as well, will generate heterogeneous and complex populations. Deciphering this complexity represents a central point for understanding the molecular mechanisms of cancer and its therapy. Here, we summarize the genomic and epigenomic events that occur in cancer and discuss novel approaches to analyze the epigenetic complexity of cancer cell populations. Abstract: Cancer evolution is associated with genomic instability and epigenetic alterations, which contribute to the inter and intra tumor heterogeneity, making genetic markers not accurate to monitor tumor evolution. Epigenetic changes, aberrant DNA methylation and modifications of chromatin proteins, determine the “epigenome chaos”, which means that the changes of epigenetic traits are Citation: Russo, G.; Tramontano, A.; randomly generated, but strongly selected by deterministic events. -
DNA Footprinting with an Automated DNA Analyzer: Does the Shoe Fit?
DNA Footprinting with an automated DNA Analyzer: does the shoe fit? Michael Zianni Manager, Plant-Microbe Genomics Facility DNA Footprinting with an Applied Biosystems 3730 DNA Analyzer: does the shoe fit ……….yes! DNA Footprint Analysis DNA Fragment BSA 6FAM DNA Binding Protein 6FAM Endonuclease Digestion (DNase I) 6FAM 6FAM 6FAM 6FAM 6FAM 6FAM 6FAM Capillary Electrophoresis rfu rfu Size (bp) Size (bp) 6FAM HrpY DNA Fragment 6FAM BSA 6FAM HrpY DNA Fragment 6FAM BSA Endonuclease EndonucleaseDigestion (DNaseDigestion I) (DNase I) 6FAM 6FAM 6FAM 6FAM 6FAM 6FAM 6FAM 6FAM 6FAM 6FAM 6FAM 6FAM 6FAM 6FAM Capillary ElectrophoresisCapillary Electrophoresis rfu rfu rfu rfu Size (bp) Size (bp) Size (bp) Size (bp) Development of DNA Foot print Analysis Techniques and Goals of This Study First performed in 1977, and utilized radioactively labeled DNA, slab gels, and autoradiography In 1994, dyes and fluorescent gel imager were used instead of radioisotopes and autoradiography but the slab gel remained. In 2000, the slab gel and imager were replaced by an automated capillary electrophoresis instrument: 310 DNA Analyzer. In 2004, ........... Demonstrate the feasibility by reproducing a protection assay previously done with autoradiography and a slab gel Demonstrate that each peak could be accurately identified Apply this method to a previously uncharacterized protein DNA Footprint analysis with protein: Autoradiography vs Electropherogram DNA Footprint analysis without protein: Electropherogram vs Autoradiography Fluorescent Primer Design For use in: (1) the DNA sequencing reactions which act as a standard/ladder and (2) the PCR reaction to make the DNA probe Used routine DNA sequencing guidelines: 18 -25mer. Tm at 55 – 60C. about 50% GC. -
The International Human Epigenome Consortium (IHEC): a Blueprint for Scientific Collaboration and Discovery
The International Human Epigenome Consortium (IHEC): A Blueprint for Scientific Collaboration and Discovery Hendrik G. Stunnenberg1#, Martin Hirst2,3,# 1Department of Molecular Biology, Faculties of Science and Medicine, Radboud University, Nijmegen, The Netherlands 2Department of Microbiology and Immunology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada V6T 1Z4. 3Canada’s Michael Smith Genome Science Center, BC Cancer Agency, Vancouver, BC, Canada V5Z 4S6 #Corresponding authors [email protected] [email protected] Abstract The International Human Epigenome Consortium (IHEC) coordinates the generation of a catalogue of high-resolution reference epigenomes of major primary human cell types. The studies now presented (cell.com/XXXXXXX) highlight the coordinated achievements of IHEC teams to gather and interpret comprehensive epigenomic data sets to gain insights in the epigenetic control of cell states relevant for human health and disease. One of the great mysteries in developmental biology is how the same genome can be read by cellular machinery to generate the plethora of different cell types required for eukaryotic life. As appreciation grew for the central roles of transcriptional and epigenetic mechanisms in specification of cellular fates and functions, researchers around the world encouraged scientific funding agencies to develop an organized and standardized effort to exploit epigenomic assays to shed additional light on this process (Beck, Olek et al. 1999, Jones and Martienssen 2005, American Association for Cancer Research Human Epigenome Task and European Union 2008). In March 2009, leading scientists and international health research funding agency representatives were invited to a meeting in Bethesda (MD, USA) to gauge the level of interest in an international epigenomics project and to identify potential areas of focus. -
Locating Mammalian Transcription Factor Binding Sites: a Survey of Computational and Experimental Techniques
Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Review Locating mammalian transcription factor binding sites: A survey of computational and experimental techniques Laura Elnitski,1,4 Victor X. Jin,2 Peggy J. Farnham,2 and Steven J.M. Jones3 1Genomic Functional Analysis Section, National Human Genome Research Institute, National Institutes of Health, Rockville, Maryland 20878, USA; 2Genome and Biomedical Sciences Facility, University of California–Davis, Davis, California 95616-8645, USA; 3Genome Sciences Centre, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada V5Z-4E6 Fields such as genomics and systems biology are built on the synergism between computational and experimental techniques. This type of synergism is especially important in accomplishing goals like identifying all functional transcription factor binding sites in vertebrate genomes. Precise detection of these elements is a prerequisite to deciphering the complex regulatory networks that direct tissue specific and lineage specific patterns of gene expression. This review summarizes approaches for in silico, in vitro, and in vivo identification of transcription factor binding sites. A variety of techniques useful for localized- and high-throughput analyses are discussed here, with emphasis on aspects of data generation and verification. [Supplemental material is available online at www.genome.org.] One documented goal of the National Human Genome Research and other regulatory elements is mediated by DNA/protein in- Institute (NHGRI) is the identification of all functional noncod- teractions. Thus, one major step in the characterization of the ing elements in the human genome (ENCODE Project Consor- functional elements of the human genome is the identification tium 2004). -
Predicting Double-Strand DNA Breaks Using Epigenome Marks Or DNA at Kilobase Resolution
bioRxiv preprint doi: https://doi.org/10.1101/149039; this version posted June 12, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Predicting double-strand DNA breaks using epigenome marks or DNA at kilobase resolution Rapha¨elMourad1 and Olivier Cuvier1 April 10, 2017 1 Laboratoire de Biologie Mol´eculaireEucaryote (LBME), CNRS, Universit´ePaul Sabatier (UPS), 31000 Toulouse, France Abstract Double-strand breaks (DSBs) result from the attack of both DNA strands by multiple sources, includ- ing exposure to ionizing radiation or reactive oxygen species. DSBs can cause abnormal chromosomal rearrangements which are linked to cancer development, and hence represent an important issue. Recent techniques allow the genome-wide mapping of DSBs at high resolution, enabling the comprehensive study of DSB origin. However these techniques are costly and challenging. Hence we devised a computational approach to predict DSBs using the epigenomic and chromatin context, for which public data are available from the ENCODE project. We achieved excellent prediction accuracy (AUC = 0:97) at high resolution (< 1 kb), and showed that only chromatin accessibility and H3K4me1 mark were sufficient for highly accurate prediction (AUC = 0:95). We also demonstrated the better sensitivity of DSB predictions com- pared to BLESS experiments. We identified chromatin accessibility, activity and long-range contacts as best predictors. In addition, our work represents the first step toward unveiling the "cis-DNA repairing" code underlying DSBs, paving the way for future studies of cis-elements involved in DNA damage and repair. -
Re-Coding the ‘Corrupt’ Code: CRISPR-Cas9 Interventions in Human Germ Line Editing
Re-coding the ‘corrupt’ code: CRISPR-Cas9 interventions in human germ line editing CRISPR-Cas9, Germline Intervention, Human Cognition, Human Rights, International Regulation Master Thesis Tilburg University- Law and Technology 2018-19 Tilburg Institute for Law, Technology, and Society (TILT) October 2019 Student: Srishti Tripathy Supervisors: Prof. Dr. Robin Pierce SRN: 2012391 Dr. Emre Bayamlioglu ANR: 659785 Re-coding the ‘corrupt’ code CRISPR-Cas9, Germline Intervention, Human Cognition, Human Rights, International Regulation This page is intentionally left blank 2 Re-coding the ‘corrupt’ code CRISPR-Cas9, Germline Intervention, Human Cognition, Human Rights, International Regulation 3 Re-coding the ‘corrupt’ code CRISPR-Cas9, Germline Intervention, Human Cognition, Human Rights, International Regulation Table of Contents CHAPTER 1: Introduction .............................................................................................................. 6 1.1 Introduction and Review - “I think I’m crazy enough to do it” ......................................................................... 6 1.2 Research Question and Sub Questions .......................................................................................................................... 9 1.4 Methodology ............................................................................................................................................................................. 9 1.4 Thesis structure: ................................................................................................................................................................. -
What Would You Do If You Could Sequence Everything?
PERspECTIVE What would you do if you could sequence everything? Avak Kahvejian1, John Quackenbush2 & John F Thompson1 It could be argued that the greatest transformative aspect ing technologies, be leveraged with insightful approaches to biology and of the Human Genome Project has been not the sequencing medicine to maximize the benefits to all? DNA sequence is no longer just of the genome itself, but the resultant development of new an end in itself, but it is rapidly becoming the digital substrate replac- technologies. A host of new approaches has fundamentally ing analog chip-based hybridization signals; it is the barcode tracking of changed the way we approach problems in basic and enormous numbers of samples; and it is the readout indicating a host of translational research. Now, a new generation of high-throughput chemical modifications and intermolecular interactions. Sequence data sequencing technologies promises to again transform the allow one to count mRNAs or other species of nucleic acids precisely, to scientific enterprise, potentially supplanting array-based determine sharp boundaries for interactions with proteins or positions technologies and opening up many new possibilities. By allowing of translocations and to identify novel variants and splice sites, all in one http://www.nature.com/naturebiotechnology DNA/RNA to be assayed more rapidly than previously possible, experiment with digital accuracy. these next-generation platforms promise a deeper understanding The brief history of molecular biology and genomic technologies has of genome regulation and biology. Significantly enhancing been marked by the introduction of new technologies, their rapid uptake sequencing throughput will allow us to follow the evolution and then a steady state or slow decline in use as newer techniques are of viral and bacterial resistance in real time, to uncover the developed that supersede them. -
Epigenome-Wide Association Study (EWAS) on Lipids: the Rotterdam Study Kim V
Braun et al. Clinical Epigenetics (2017) 9:15 DOI 10.1186/s13148-016-0304-4 RESEARCH Open Access Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study Kim V. E. Braun1, Klodian Dhana1, Paul S. de Vries1,2, Trudy Voortman1, Joyce B. J. van Meurs3,4, Andre G. Uitterlinden1,3,4, BIOS consortium, Albert Hofman1,5, Frank B. Hu5,6, Oscar H. Franco1 and Abbas Dehghan1* Abstract Background: DNA methylation is a key epigenetic mechanism that is suggested to be associated with blood lipid levels. We aimed to identify CpG sites at which DNA methylation levels are associated with blood levels of triglycerides, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and total cholesterol in 725 participants of the Rotterdam Study, a population-based cohort study. Subsequently, we sought replication in a non-overlapping set of 760 participants. Results: Genome-wide methylation levels were measured in whole blood using the Illumina Methylation 450 array. Associations between lipid levels and DNA methylation beta values were examined using linear mixed-effect models. All models were adjusted for sex, age, smoking, white blood cell proportions, array number, and position on array. A Bonferroni-corrected p value lower than 1.08 × 10−7 was considered statistically significant. Five CpG sites annotated to genes including DHCR24, CPT1A, ABCG1,andSREBF1 were identified and replicated. Four CpG sites were associated with triglycerides, including CpG sites annotated to CPT1A (cg00574958 and cg17058475), ABCG1 (cg06500161), and SREBF1 (cg11024682). Two CpG sites were associated with HDL-C, including ABCG1 (cg06500161) and DHCR24 (cg17901584). No significant associations were observed with LDL-C or total cholesterol. -
Supp Material.Pdf
Simon et al. Supplementary information: Table of contents p.1 Supplementary material and methods p.2-4 • PoIy(I)-poly(C) Treatment • Flow Cytometry and Immunohistochemistry • Western Blotting • Quantitative RT-PCR • Fluorescence In Situ Hybridization • RNA-Seq • Exome capture • Sequencing Supplementary Figures and Tables Suppl. items Description pages Figure 1 Inactivation of Ezh2 affects normal thymocyte development 5 Figure 2 Ezh2 mouse leukemias express cell surface T cell receptor 6 Figure 3 Expression of EZH2 and Hox genes in T-ALL 7 Figure 4 Additional mutation et deletion of chromatin modifiers in T-ALL 8 Figure 5 PRC2 expression and activity in human lymphoproliferative disease 9 Figure 6 PRC2 regulatory network (String analysis) 10 Table 1 Primers and probes for detection of PRC2 genes 11 Table 2 Patient and T-ALL characteristics 12 Table 3 Statistics of RNA and DNA sequencing 13 Table 4 Mutations found in human T-ALLs (see Fig. 3D and Suppl. Fig. 4) 14 Table 5 SNP populations in analyzed human T-ALL samples 15 Table 6 List of altered genes in T-ALL for DAVID analysis 20 Table 7 List of David functional clusters 31 Table 8 List of acquired SNP tested in normal non leukemic DNA 32 1 Simon et al. Supplementary Material and Methods PoIy(I)-poly(C) Treatment. pIpC (GE Healthcare Lifesciences) was dissolved in endotoxin-free D-PBS (Gibco) at a concentration of 2 mg/ml. Mice received four consecutive injections of 150 μg pIpC every other day. The day of the last pIpC injection was designated as day 0 of experiment. -
The Gene Repressor Complex Nurd Interacts with the Histone Variant H3.3
Downloaded from genome.cshlp.org on October 3, 2021 - Published by Cold Spring Harbor Laboratory Press The gene repressor complex NuRD interacts with the histone variant H3.3 at promoters of active genes Daniel C. Kraushaar1,3,4, Zuozhou Chen2,4, Qingsong Tang1, Kairong Cui1, Junfang Zhang2,*, Keji Zhao1,* 1 Systems Biology Center, National Heart, Lung, and Blood Institute, NIH, MD 2 Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Shanghai Ocean University), Ministry of Education; International Research Center for Marine Biosciences at Shanghai Ocean University, Ministry of Science and Technology; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China. 3 Current address: Genomic and RNA Profiling Core, Baylor College of Medicine, TX 4These authors contributed equally to this work *Correspondence: Junfang Zhang ([email protected]); Keji Zhao ([email protected]) Key words: histone variant H3.3; chromatin modification; epigenetics; ChIP-seq; protein interaction; NuRD; histone modification 1 Downloaded from genome.cshlp.org on October 3, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract The histone variant H3.3 is deposited across active genes, regulatory regions and telomeres. It remains unclear how H3.3 interacts with chromatin modifying enzymes and thereby modulates gene activity. In this study, we performed a co- immunoprecipitation-mass spectrometry analysis of proteins associated with H3.3-containing nucleosomes and identified the Nucleosome Remodeling and Deacetylase complex (NuRD) as a major H3.3-interactor. We show that the H3.3- NuRD interaction is dependent on the H3.3 lysine 4 residue and that NuRD binding occurs when lysine 4 is in its unmodified state. -
Npgrj Nmeth 890 511..518
ARTICLES Genome-scale mapping of DNase I sensitivity in vivo using tiling DNA microarrays s 1,6 1,2,6 1,2 2 2 2 d Peter J Sabo , Michael S Kuehn , Robert Thurman , Brett E Johnson , Ericka M Johnson , Hua Cao , o h 2 2 1 1 1 1 1 t Man Yu , Elizabeth Rosenzweig , Jeff Goldy , Andrew Haydock , Molly Weaver , Anthony Shafer , Kristin Lee , e 1 1 3 3 1 m Fidencio Neri , Richard Humbert , Michael A Singer , Todd A Richmond , Michael O Dorschner , e r u 4 5 3 2 1 t Michael McArthur , Michael Hawrylycz , Roland D Green , Patrick A Navas , William S Noble & a n 1 / John A Stamatoyannopoulos m o c . e r u Localized accessibility of critical DNA sequences to the entire genome and analysis of their relationship to the current t a n regulatory machinery is a key requirement for regulation of annotation of human genes. Comprehensive delineation of the . w human genes. Here we describe a high-resolution, genome-scale accessible chromatin compartment is expected to be of particular w w / approach for quantifying chromatin accessibility by measuring importance for identification of functional human genetic variants / : p t DNase I sensitivity as a continuous function of genome position that mediate individual variation in gene expression and physio- t h using tiling DNA microarrays (DNase-array). We demonstrate this logical phenotypes. On a broader level, human chromosomes p approach across 1% (B30 Mb) of the human genome, wherein have long been thought to be organized into discrete higher- u o r we localized 2,690 classical DNase I hypersensitive sites with order functional domains characterized by ‘open’ (active) G high sensitivity and specificity, and also mapped larger-scale and ‘closed’ (inactive) chromatin8–10.