Genome-Wide Analysis of Epigenetics and Alternative Promoters in Cancer Cells
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Variants of the Elongator Protein 3 (ELP3) Gene Are Associated with Motor Neuron Degeneration
Human Molecular Genetics, 2009, Vol. 18, No. 3 472–481 doi:10.1093/hmg/ddn375 Advance Access published on November 7, 2008 Variants of the elongator protein 3 (ELP3) gene are associated with motor neuron degeneration Claire L. Simpson1,{, Robin Lemmens4,{, Katarzyna Miskiewicz6,7, Wendy J. Broom8, Valerie K. Hansen1, Paul W.J. van Vught9, John E. Landers8, Peter Sapp8,11, Ludo Van Den Bosch4,5, Joanne Knight3, Benjamin M. Neale3, Martin R. Turner1, Jan H. Veldink9, Roel A. Ophoff10,12, Vineeta B. Tripathi1, Ana Beleza1, Meera N. Shah1, Petroula Proitsi2, Annelies Van Hoecke4,5, Peter Carmeliet5, H. Robert Horvitz11, P. Nigel Leigh1, Christopher E. Shaw1, Leonard H. van den Berg9, Pak C. Sham13, John F. Powell2, Patrik Verstreken6,7, Robert H. Brown Jr8, Wim Robberecht4,5 and Ammar Al-Chalabi1,Ã 1Department of Neurology, 2Department of Neuroscience, MRC Centre for Neurodegeneration Research and 3MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, London SE5 8AF, UK, 4Service of Neurology (University Hospital Leuven) and Laboratory for Neurobiology, Section of Experimental Neurology, University of Leuven, Leuven B-3000, Belgium, 5Vesalius Research Center, Flanders Institute for Biotechnology (VIB) and 6Center for Human Genetics, Laboratory of Neuronal Communication, KU Leuven, Leuven B-3000, Belgium, 7Department of Molecular and Developmental Genetics, VIB, Leuven B-3000, Belgium, 8Cecil B Day Laboratory for Neuromuscular Research, Massachusetts General Hospital East, Charlestown, MA, -
Genetic Associations Between Voltage-Gated Calcium Channels (Vgccs) and Autism Spectrum Disorder (ASD)
Liao and Li Molecular Brain (2020) 13:96 https://doi.org/10.1186/s13041-020-00634-0 REVIEW Open Access Genetic associations between voltage- gated calcium channels and autism spectrum disorder: a systematic review Xiaoli Liao1,2 and Yamin Li2* Abstract Objectives: The present review systematically summarized existing publications regarding the genetic associations between voltage-gated calcium channels (VGCCs) and autism spectrum disorder (ASD). Methods: A comprehensive literature search was conducted to gather pertinent studies in three online databases. Two authors independently screened the included records based on the selection criteria. Discrepancies in each step were settled through discussions. Results: From 1163 resulting searched articles, 28 were identified for inclusion. The most prominent among the VGCCs variants found in ASD were those falling within loci encoding the α subunits, CACNA1A, CACNA1B, CACN A1C, CACNA1D, CACNA1E, CACNA1F, CACNA1G, CACNA1H, and CACNA1I as well as those of their accessory subunits CACNB2, CACNA2D3, and CACNA2D4. Two signaling pathways, the IP3-Ca2+ pathway and the MAPK pathway, were identified as scaffolds that united genetic lesions into a consensus etiology of ASD. Conclusions: Evidence generated from this review supports the role of VGCC genetic variants in the pathogenesis of ASD, making it a promising therapeutic target. Future research should focus on the specific mechanism that connects VGCC genetic variants to the complex ASD phenotype. Keywords: Autism spectrum disorder, Voltage-gated calcium -
BRCA1-Dependent Transcriptional Regulation: Implication in Tissue-Specific Tumor Suppression
cancers Review BRCA1-Dependent Transcriptional Regulation: Implication in Tissue-Specific Tumor Suppression Xiaowen Zhang * and Rong Li * Department of Biochemistry & Molecular Medicine, School of Medicine & Health Sciences, The George Washington University, Washington, DC 20037, USA * Correspondence: [email protected] (X.Z.); [email protected] (R.L.) Received: 14 October 2018; Accepted: 11 December 2018; Published: 14 December 2018 Abstract: Germ-line mutations in breast cancer susceptibility gene 1 (BRCA1) predominantly predispose women to breast and ovarian cancers. BRCA1 is best known for its functions in maintenance of genomic integrity including repairing DNA double-strand breaks through homologous recombination and suppressing DNA replication stress. However, whether these universally important BRCA1 functions in maintenance of genomic stability are sufficient to account for its tissue-specific tumor-suppressing function remains unclear. Accumulating evidence indicates that there are previously underappreciated roles of BRCA1 in transcriptional regulation and chromatin remodeling. In this review, we discuss the functional significance of interactions between BRCA1 and various transcription factors, its role in epigenetic regulation and chromatin dynamics, and BRCA1-dependent crosstalk between the machineries of transcription and genome integrity. Furthermore, we propose a model of how transcriptional regulation could contribute to tissue-dependent tumor-suppressing function of BRCA1. Keywords: BRCA1; transcriptional regulation; epigenetic regulation; chromatin organization 1. Introduction Approximately 0.2% to 0.3% of the general population in the United States carries germ-line mutations in the tumor suppressor gene BRCA1 (BRCA1mut/+)[1,2]. Unlike tumor suppressors such as p53 that are implicated in a broad spectrum of cancers, BRCA1 functions in a gender- and tissue-specific manner. -
Influencers on Thyroid Cancer Onset: Molecular Genetic Basis
G C A T T A C G G C A T genes Review Influencers on Thyroid Cancer Onset: Molecular Genetic Basis Berta Luzón-Toro 1,2, Raquel María Fernández 1,2, Leticia Villalba-Benito 1,2, Ana Torroglosa 1,2, Guillermo Antiñolo 1,2 and Salud Borrego 1,2,* 1 Department of Maternofetal Medicine, Genetics and Reproduction, Institute of Biomedicine of Seville (IBIS), University Hospital Virgen del Rocío/CSIC/University of Seville, 41013 Seville, Spain; [email protected] (B.L.-T.); [email protected] (R.M.F.); [email protected] (L.V.-B.); [email protected] (A.T.); [email protected] (G.A.) 2 Centre for Biomedical Network Research on Rare Diseases (CIBERER), 41013 Seville, Spain * Correspondence: [email protected]; Tel.: +34-955-012641 Received: 3 September 2019; Accepted: 6 November 2019; Published: 8 November 2019 Abstract: Thyroid cancer, a cancerous tumor or growth located within the thyroid gland, is the most common endocrine cancer. It is one of the few cancers whereby incidence rates have increased in recent years. It occurs in all age groups, from children through to seniors. Most studies are focused on dissecting its genetic basis, since our current knowledge of the genetic background of the different forms of thyroid cancer is far from complete, which poses a challenge for diagnosis and prognosis of the disease. In this review, we describe prevailing advances and update our understanding of the molecular genetics of thyroid cancer, focusing on the main genes related with the pathology, including the different noncoding RNAs associated with the disease. -
Supplemental Figure 1. Vimentin
Double mutant specific genes Transcript gene_assignment Gene Symbol RefSeq FDR Fold- FDR Fold- FDR Fold- ID (single vs. Change (double Change (double Change wt) (single vs. wt) (double vs. single) (double vs. wt) vs. wt) vs. single) 10485013 BC085239 // 1110051M20Rik // RIKEN cDNA 1110051M20 gene // 2 E1 // 228356 /// NM 1110051M20Ri BC085239 0.164013 -1.38517 0.0345128 -2.24228 0.154535 -1.61877 k 10358717 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 /// BC 1700025G04Rik NM_197990 0.142593 -1.37878 0.0212926 -3.13385 0.093068 -2.27291 10358713 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 1700025G04Rik NM_197990 0.0655213 -1.71563 0.0222468 -2.32498 0.166843 -1.35517 10481312 NM_027283 // 1700026L06Rik // RIKEN cDNA 1700026L06 gene // 2 A3 // 69987 /// EN 1700026L06Rik NM_027283 0.0503754 -1.46385 0.0140999 -2.19537 0.0825609 -1.49972 10351465 BC150846 // 1700084C01Rik // RIKEN cDNA 1700084C01 gene // 1 H3 // 78465 /// NM_ 1700084C01Rik BC150846 0.107391 -1.5916 0.0385418 -2.05801 0.295457 -1.29305 10569654 AK007416 // 1810010D01Rik // RIKEN cDNA 1810010D01 gene // 7 F5 // 381935 /// XR 1810010D01Rik AK007416 0.145576 1.69432 0.0476957 2.51662 0.288571 1.48533 10508883 NM_001083916 // 1810019J16Rik // RIKEN cDNA 1810019J16 gene // 4 D2.3 // 69073 / 1810019J16Rik NM_001083916 0.0533206 1.57139 0.0145433 2.56417 0.0836674 1.63179 10585282 ENSMUST00000050829 // 2010007H06Rik // RIKEN cDNA 2010007H06 gene // --- // 6984 2010007H06Rik ENSMUST00000050829 0.129914 -1.71998 0.0434862 -2.51672 -
Expression of HAT1 and HDAC1, 2, 3 in Diffuse Large B-Cell Lymphomas, Peripheral T-Cell Lymphomas, and NK/T-Cell Lymphomas
The Korean Journal of Pathology 2012; 46: 142-150 ▒ ORIGINAL ARTICLE ▒ http://dx.doi.org/10.4132/KoreanJPathol.2012.46.2.142 Expression of HAT1 and HDAC1, 2, 3 in Diffuse Large B-Cell Lymphomas, Peripheral T-Cell Lymphomas, and NK/T-Cell Lymphomas Soo Kee Min · Young Ho Koh1 Background: It has generally been proven that histone acetylation and deacetylation are involved Yunwoong Park1 · Hyo Jung Kim2 in the malignant transformation. To date, however, this has rarely been studied in cases of malig- Jinwon Seo · Hye-Rim Park nant lymphoma. Methods: We studied nine cases of reactive lymphoid hyperplasia, 78 cases of diffuse large B-cell lymphoma (DLBCL), 13 cases of peripheral T-cell lymphoma, not otherwise 3 4 Seong Jin Cho · In Sun Kim specified (PTCL-NOS), and 13 cases of extranodal NK/T-cell lymphoma, nasal type (NKTCL). Thus, we attempted to elucidate the associations of the degree of the expression of histone acetyltrans- Department of Pathology, Hallym University ferase 1 (HAT1), histone deacetylase (HDAC) 1, HDAC2, and HDAC3 with the clinical behaviors of Sacred Heart Hospital, Hallym University College above malignant lymphomas using the immunohistochemistry and a western blot analysis. of Medicine; 1Ilsong Institute of Life Science, Re- Hallym University; 2Department of Hemato- sults: The degree of the expression of HAT1 was higher in cases of DLBCL, PTCL-NOS or NKT- Oncology, Hallym University Sacred Heart CL as compared with reactive lymphoid hyperplasia (p< 0.05). The degree of the expression of Hospital, Hallym University College of Medicine, HAT1 was correlated with that of HDAC1 in cases of DLBCL or NKTCL (p< 0.05). -
Ecological Developmental Biology and Disease States CHAPTER 5 Teratogenesis: Environmental Assaults on Development 167
Integrating Epigenetics, Medicine, and Evolution Scott F. Gilbert David Epel Swarthmore College Hopkins Marine Station, Stanford University Sinauer Associates, Inc. • Publishers Sunderland, Massachusetts U.S.A. © Sinauer Associates, Inc. This material cannot be copied, reproduced, manufactured or disseminated in any form without express written permission from the publisher. Brief Contents PART 1 Environmental Signals and Normal Development CHAPTER 1 The Environment as a Normal Agent in Producing Phenotypes 3 CHAPTER 2 How Agents in the Environment Effect Molecular Changes in Development 37 CHAPTER 3 Developmental Symbiosis: Co-Development as a Strategy for Life 79 CHAPTER 4 Embryonic Defenses: Survival in a Hostile World 119 PART 2 Ecological Developmental Biology and Disease States CHAPTER 5 Teratogenesis: Environmental Assaults on Development 167 CHAPTER 6 Endocrine Disruptors 197 CHAPTER 7 The Epigenetic Origin of Adult Diseases 245 PART 3 Toward a Developmental Evolutionary Synthesis CHAPTER 8 The Modern Synthesis: Natural Selection of Allelic Variation 289 CHAPTER 9 Evolution through Developmental Regulatory Genes 323 CHAPTER 10 Environment, Development, and Evolution: Toward a New Synthesis 369 CODA Philosophical Concerns Raised by Ecological Developmental Biology 403 APPENDIX A Lysenko, Kammerer, and the Truncated Tradition of Ecological Developmental Biology 421 APPENDIX B The Molecular Mechanisms of Epigenetic Change 433 APPENDIX C Writing Development Out of the Modern Synthesis 441 APPENDIX D Epigenetic Inheritance Systems: -
Genotyping of Breech Flystrike Resource – Update
Project No: ON-00515 Contract No: PO4500010753 AWI Project Manager: Bridget Peachey Contractor Name: CSIRO Agriculture and Food Prepared by: Dr Sonja Dominik Publication Date: July 2019 Genotyping of breech flystrike resource – update Published by Australian Wool Innovation Limited, Level 6, 68 Harrington Street, THE ROCKS, NSW, 2000 This publication should only be used as a general aid and is not a substitute for specific advice. To the extent permitted by law, we exclude all liability for loss or damage arising from the use of the information in this publication. AWI invests in research, development, innovation and marketing activities along the global supply chain for Australian wool. AWI is grateful for its funding, which is primarily provided by Australian woolgrowers through a wool levy and by the Australian Government which provides a matching contribution for eligible R&D activities © 2019 Australian Wool Innovation Ltd. All rights reserved. Contents Executive Summary .................................................................................................................... 3 1 Introduction/Hypothesis .................................................................................................... 5 2 Literature Review ............................................................................................................... 6 3 Project Objectives .............................................................................................................. 8 4 Success in Achieving Objectives ........................................................................................ -
Noninvasive Sleep Monitoring in Large-Scale Screening of Knock-Out Mice
bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes Shreyas S. Joshi1*, Mansi Sethi1*, Martin Striz1, Neil Cole2, James M. Denegre2, Jennifer Ryan2, Michael E. Lhamon3, Anuj Agarwal3, Steve Murray2, Robert E. Braun2, David W. Fardo4, Vivek Kumar2, Kevin D. Donohue3,5, Sridhar Sunderam6, Elissa J. Chesler2, Karen L. Svenson2, Bruce F. O'Hara1,3 1Dept. of Biology, University of Kentucky, Lexington, KY 40506, USA, 2The Jackson Laboratory, Bar Harbor, ME 04609, USA, 3Signal solutions, LLC, Lexington, KY 40503, USA, 4Dept. of Biostatistics, University of Kentucky, Lexington, KY 40536, USA, 5Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA. 6Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA. *These authors contributed equally Address for correspondence and proofs: Shreyas S. Joshi, Ph.D. Dept. of Biology University of Kentucky 675 Rose Street 101 Morgan Building Lexington, KY 40506 U.S.A. Phone: (859) 257-2805 FAX: (859) 257-1717 Email: [email protected] Running title: Sleep changes in knockout mice bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Cancer TNT Ashwin Ram 12/5/2017 Background: Chromatin Writers, Readers, Erasers
Cancer TNT Ashwin Ram 12/5/2017 Background: Chromatin Writers, Readers, Erasers writer effector eg. HAT, HMT reader eg. bromodomain eraser eg. HDAC, KDM The writer HAT1: A known H4 lysine 5,12 di-acetyltransferase writer siHAT1 siControl HAT1 H4 K12Ac H4 K5Ac actin Western blot for histone H4 modifications after control and HAT1 siRNA transfections. HAT1: EGF-stimulated immunoprecipitation specific specific - - HAT1 IgG HAT1 IgG - - R α non R α non EGF: + + + - - - WB: HAT1 Immunoprecipitation / WB to measure HAT1 levels +/- Heatmap of gene expression changes of all human histone EGF acetyltransferases +/- EGF and siRNA treatments shows HAT1 expression is EGF-dependent Working model of HAT1 : The oldest “new” histone acetyltransferase EGF EGFR plasma membrane HAT1 H4 H3 Rbap46/48 a nuclear membrane H4 H2A H3 H2B HAT1 S phase Surprise: HAT1 also binds (a few sites) on chromatin HAT1 ChipSeq signal sits on Hist1 locus on Chromosome 6 Read Depth HAT1 bound sites (zoom) HAT1 ChIP-seq peaks cluster at Read Depth histone H4 promoters. Hist1H2BE Hist1H4D Hist1H3D Hist1H4E Is HAT1 a transcription factor for its substrate (H4)? EGF EGFR plasma membrane HAT1 H4 H3 Rbap46/48 a nuclear membrane H4 H2A H3 H2B HAT1 S phase HAT1 is required for S-phase burst of histone H4 mRNA HAT1 Hist1H4B mRNA level 50 Rbap46 45 shCont-3 H4 40 shHAT1-A7 35 shHAT1-B6 30 25 B6 A7 - - 20 15 shHAT1 shHAT1 shControl 10 Gene actin)Expression (versus 5 HAT1 0 0 2 4 6 8 10 actin hours after release from double thymidine block G1 S G2/M HAT1 loss: Life with less histones EGF -
Early-Life Experience, Epigenetics, and the Developing Brain
Neuropsychopharmacology REVIEWS (2015) 40, 141–153 & 2015 American College of Neuropsychopharmacology. All rights reserved 0893-133X/15 REVIEW ............................................................................................................................................................... www.neuropsychopharmacologyreviews.org 141 Early-Life Experience, Epigenetics, and the Developing Brain 1 ,1 Marija Kundakovic and Frances A Champagne* 1Department of Psychology, Columbia University, New York, NY, USA Development is a dynamic process that involves interplay between genes and the environment. In mammals, the quality of the postnatal environment is shaped by parent–offspring interactions that promote growth and survival and can lead to divergent developmental trajectories with implications for later-life neurobiological and behavioral characteristics. Emerging evidence suggests that epigenetic factors (ie, DNA methylation, posttranslational histone modifications, and small non- coding RNAs) may have a critical role in these parental care effects. Although this evidence is drawn primarily from rodent studies, there is increasing support for these effects in humans. Through these molecular mechanisms, variation in risk of psychopathology may emerge, particularly as a consequence of early-life neglect and abuse. Here we will highlight evidence of dynamic epigenetic changes in the developing brain in response to variation in the quality of postnatal parent–offspring interactions. The recruitment of epigenetic pathways for the -
Genome-Wide Copy Number Variant Analysis For
An et al. BMC Medical Genomics (2016) 9:2 DOI 10.1186/s12920-015-0163-4 RESEARCH ARTICLE Open Access Genome-wide copy number variant analysis for congenital ventricular septal defects in Chinese Han population Yu An1,2,4, Wenyuan Duan3, Guoying Huang4, Xiaoli Chen5,LiLi5, Chenxia Nie6, Jia Hou4, Yonghao Gui4, Yiming Wu1, Feng Zhang2, Yiping Shen7, Bailin Wu1,4,7* and Hongyan Wang8* Abstract Background: Ventricular septal defects (VSDs) constitute the most prevalent congenital heart disease (CHD), occurs either in isolation (isolated VSD) or in combination with other cardiac defects (complex VSD). Copy number variation (CNV) has been highlighted as a possible contributing factor to the etiology of many congenital diseases. However, little is known concerning the involvement of CNVs in either isolated or complex VSDs. Methods: We analyzed 154 unrelated Chinese individuals with VSD by chromosomal microarray analysis. The subjects were recruited from four hospitals across China. Each case underwent clinical assessment to define the type of VSD, either isolated or complex VSD. CNVs detected were categorized into syndrom related CNVs, recurrent CNVs and rare CNVs. Genes encompassed by the CNVs were analyzed using enrichment and pathway analysis. Results: Among 154 probands, we identified 29 rare CNVs in 26 VSD patients (16.9 %, 26/154) and 8 syndrome-related CNVs in 8 VSD patients (5.2 %, 8/154). 12 of the detected 29 rare CNVs (41.3 %) were recurrently reported in DECIPHER or ISCA database as associated with either VSD or general heart disease. Fifteen genes (5 %, 15/285) within CNVs were associated with a broad spectrum of complicated CHD.