PRC2 Directly Methylates GATA4 and Represses Its Transcriptional Activity
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FLNC Missense Variants in Familial Noncompaction Cardiomyopathy
Cardiogenetics 2019; volume 9:8181 FLNC missense variants than 2 according to current echocardio- in familial noncompaction graphic criteria, or 2.3 on CMR.1,2 Correspondence: Jaap I. van Waning, Approximately 10% of patients diagnosed Department of Clinical Genetics, EE 2038, cardiomyopathy with NCCM have concurrent congenital Erasmus MC, POB 2040, 3000CA Rotterdam, heart defects (CHD).3,4 the Netherlands. Tel.: +3107038388 - Fax: +3107043072. Jaap I. van Waning,1 In 30-40% of cases diagnosed with E-mail: [email protected] Yvonne M. Hoedemaekers,2 NCCM a pathogenic variant can be identi- 2,3 4 Wouter P. te Rijdt, Arne I. Jpma, fied. Around 80% of these pathogenic vari- Acknowledgements: JVW was supported by a Daphne Heijsman,4 Kadir Caliskan,5 ants involve the same sarcomere genes, that grant from the Jaap Schouten Foundation. Elke S. Hoendermis,6 are the major causes for hypertrophic car- WPTR was supported by a Young Talent Program (CVON PREDICT) grant 2017T001 Tineke P. Willems,7 diomyopathy (HCM) and dilated cardiomy- - Dutch Heart Foundation. 8 opathy (DCM), in particular MYH7, Arthur van den Wijngaard, 5,6 3 MYBPC3 and TTN. Filamin C (FLNC) Albert Suurmeijer, Conflict of interest: the authors declare no plays a central role in muscle functioning Marjon A. van Slegtenhorst,1 potential conflict of interest. by maintaining the structural integrity of the Jan D.H. Jongbloed,2 muscle fibers. Pathogenic variants in FLNC Received for publication: 20 March 2019. Danielle F. Majoor-Krakauer,1 2 were found to be associated with a wide Revision received: 29 July 2019. Paul A. -
Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. 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. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Genetic Mutations and Mechanisms in Dilated Cardiomyopathy
Genetic mutations and mechanisms in dilated cardiomyopathy Elizabeth M. McNally, … , Jessica R. Golbus, Megan J. Puckelwartz J Clin Invest. 2013;123(1):19-26. https://doi.org/10.1172/JCI62862. Review Series Genetic mutations account for a significant percentage of cardiomyopathies, which are a leading cause of congestive heart failure. In hypertrophic cardiomyopathy (HCM), cardiac output is limited by the thickened myocardium through impaired filling and outflow. Mutations in the genes encoding the thick filament components myosin heavy chain and myosin binding protein C (MYH7 and MYBPC3) together explain 75% of inherited HCMs, leading to the observation that HCM is a disease of the sarcomere. Many mutations are “private” or rare variants, often unique to families. In contrast, dilated cardiomyopathy (DCM) is far more genetically heterogeneous, with mutations in genes encoding cytoskeletal, nucleoskeletal, mitochondrial, and calcium-handling proteins. DCM is characterized by enlarged ventricular dimensions and impaired systolic and diastolic function. Private mutations account for most DCMs, with few hotspots or recurring mutations. More than 50 single genes are linked to inherited DCM, including many genes that also link to HCM. Relatively few clinical clues guide the diagnosis of inherited DCM, but emerging evidence supports the use of genetic testing to identify those patients at risk for faster disease progression, congestive heart failure, and arrhythmia. Find the latest version: https://jci.me/62862/pdf Review series Genetic mutations and mechanisms in dilated cardiomyopathy Elizabeth M. McNally, Jessica R. Golbus, and Megan J. Puckelwartz Department of Human Genetics, University of Chicago, Chicago, Illinois, USA. Genetic mutations account for a significant percentage of cardiomyopathies, which are a leading cause of conges- tive heart failure. -
A Rare Missense Mutation in MYH6 Confers High Risk of Coarctation of the Aorta
bioRxiv preprint doi: https://doi.org/10.1101/180794; this version posted August 29, 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. A rare missense mutation in MYH6 confers high risk of coarctation of the aorta Thorsteinn Bjornsson1,12, Rosa B. Thorolfsdottir1,12, Gardar Sveinbjornsson1, Patrick Sulem1, Gudmundur L. Norddahl1, Anna Helgadottir1, Solveig Gretarsdottir1, Audur Magnusdottir1, Ragnar Danielsen2, Emil L. Sigurdsson3,4, Berglind Adalsteinsdottir5,6, Sverrir I. Gunnarsson7, Ingileif Jonsdottir1,6,8, David O. Arnar2,6, Hrodmar Helgason9, Tomas Gudbjartsson6,10, Daniel F. Gudbjartsson1,11, Unnur Thorsteinsdottir1,6, Hilma Holm1, Kari Stefansson1,6 1deCODE genetics/Amgen, Inc., Reykjavik, Iceland. 2Department of Medicine, Landspitali – The National University Hospital of Iceland, Reykjavik, Iceland. 3Department of Family Medicine, University of Iceland, Reykjavik, Iceland. 4Department of Development, Primary Health Care of the Capital Area, Reykjavik, Iceland. 5Department of Cardiology, Haukeland University Hospital, Bergen, Norway 6Faculty of Medicine, University of Iceland, Reykjavik, Iceland. 7Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin, Madison, WI, USA. 8Department of Immunology, Landspitali – The National University Hospital of Iceland, Reykjavik, Iceland. 9Children's Hospital, Landspitali – The National University Hospital of Iceland, Reykjavik, Iceland. 10Department of Cardiothoracic Surgery, Landspitali – The National University Hospital of Iceland, Reykjavik, Iceland. 11School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland. 12These authors contributed equally to this work. 1 bioRxiv preprint doi: https://doi.org/10.1101/180794; this version posted August 29, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Histone Methylases As Novel Drug Targets. Focus on EZH2 Inhibition. Catherine BAUGE1,2,#, Céline BAZILLE 1,2,3, Nicolas GIRARD1
Histone methylases as novel drug targets. Focus on EZH2 inhibition. Catherine BAUGE1,2,#, Céline BAZILLE1,2,3, Nicolas GIRARD1,2, Eva LHUISSIER1,2, Karim BOUMEDIENE1,2 1 Normandie Univ, France 2 UNICAEN, EA4652 MILPAT, Caen, France 3 Service d’Anatomie Pathologique, CHU, Caen, France # Correspondence and copy request: Catherine Baugé, [email protected], EA4652 MILPAT, UFR de médecine, Université de Caen Basse-Normandie, CS14032 Caen cedex 5, France; tel: +33 231068218; fax: +33 231068224 1 ABSTRACT Posttranslational modifications of histones (so-called epigenetic modifications) play a major role in transcriptional control and normal development, and are tightly regulated. Disruption of their control is a frequent event in disease. Particularly, the methylation of lysine 27 on histone H3 (H3K27), induced by the methylase Enhancer of Zeste homolog 2 (EZH2), emerges as a key control of gene expression, and a major regulator of cell physiology. The identification of driver mutations in EZH2 has already led to new prognostic and therapeutic advances, and new classes of potent and specific inhibitors for EZH2 show promising results in preclinical trials. This review examines roles of histone lysine methylases and demetylases in cells, and focuses on the recent knowledge and developments about EZH2. Key-terms: epigenetic, histone methylation, EZH2, cancerology, tumors, apoptosis, cell death, inhibitor, stem cells, H3K27 2 Histone modifications and histone code Epigenetic has been defined as inheritable changes in gene expression that occur without a change in DNA sequence. Key components of epigenetic processes are DNA methylation, histone modifications and variants, non-histone chromatin proteins, small interfering RNA (siRNA) and micro RNA (miRNA). -
A CRISPR Path to Engineering New Genetic Mouse Models for Cardiovascular Research
Cutting-Edge Review A CRISPR Path to Engineering New Genetic Mouse Models for Cardiovascular Research Joseph M. Miano, Qiuyu Martin Zhu, Charles J. Lowenstein Abstract—Previous efforts to target the mouse genome for the addition, subtraction, or substitution of biologically informative sequences required complex vector design and a series of arduous steps only a handful of laboratories could master. The facile and inexpensive clustered regularly interspaced short palindromic repeats (CRISPR) method has now superseded traditional means of genome modification such that virtually any laboratory can quickly assemble reagents for developing new mouse models for cardiovascular research. Here, we briefly review the history of CRISPR in prokaryotes, highlighting major discoveries leading to its formulation for genome modification in the animal kingdom. Core components of CRISPR technology are reviewed and updated. Practical pointers for 2-component and 3-component CRISPR editing are summarized with many applications in mice including frameshift mutations, deletion of enhancers and noncoding genes, nucleotide substitution of protein-coding and gene regulatory sequences, incorporation of loxP sites for conditional gene inactivation, and epitope tag integration. Genotyping strategies are presented and topics of genetic mosaicism and inadvertent targeting discussed. Finally, clinical applications and ethical considerations are addressed as the biomedical community eagerly embraces this astonishing innovation in genome editing to tackle previously -
SUPPLEMENTAL MATERIAL Data S1
SUPPLEMENTAL MATERIAL Data S1. Supplementary Methods: Methods Fasting studies in mice: Mice were housed in groups of up to n = 5 mice/cage and fed standard chow (Lab Diet, 5053; providing 3.4 Kcal/g with 62.1% Kcal derived from carbohydrates, 13.2% from fats, and 24.6% from protein) on a 6:00 PM to 6:00 AM dark-light cycle. Intermittent fasting was performed with total food deprivation and ad libitum access to water while mice were housed on a cedar pine chip bedding from 12:00 PM to 12:00 PM of the following day to implement alternate periods of 24 h fasting and feeding, with change in bedding (AL indicates fed ad libitum and IF indicates that animals were provided access to food every other day).1 Non-fasted control mice were simultaneously provided fresh food with change in bedding. Terminal studies on mice were initiated between 8:00 to 10:00 AM after an overnight period of feeding (i.e., on a fed day). For fasting studies to determine the effects on HSPB8 transcript levels in the heart, mice were fasted for various durations beginning at 6:00 PM (the onset of the dark cycle during which mice typically feed). Echocardiography: Echocardiography was performed using a Vevo 2100 Imaging System (VisualSonics, Toronto, Canada) equipped with a 30 MHz linear-array transducer according slight modifications of previously published methods.2, 3 Briefly, mice were anesthetized using 0.1 g/kg IP Avertin (2,2,2- Tribromoethanol, Sigma-Aldrich, St. Louis, MO). Cardiac images were obtained by a handheld technique. -
Histone Deacetylase Inhibitors Synergizes with Catalytic Inhibitors of EZH2 to Exhibit Anti-Tumor Activity in Small Cell Carcinoma of the Ovary, Hypercalcemic Type
Author Manuscript Published OnlineFirst on September 19, 2018; DOI: 10.1158/1535-7163.MCT-18-0348 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Histone deacetylase inhibitors synergizes with catalytic inhibitors of EZH2 to exhibit anti- tumor activity in small cell carcinoma of the ovary, hypercalcemic type Yemin Wang1,2,*, Shary Yuting Chen1,2, Shane Colborne3, Galen Lambert2, Chae Young Shin2, Nancy Dos Santos4, Krystal A. Orlando5, Jessica D. Lang6, William P.D. Hendricks6, Marcel B. Bally4, Anthony N. Karnezis1,2, Ralf Hass7, T. Michael Underhill8, Gregg B. Morin3,9, Jeffrey M. Trent6, Bernard E. Weissman5, David G. Huntsman1,2,10,* 1Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada 2Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada. 3Michael Smith Genome Science Centre, British Columbia Cancer Agency, Vancouver, BC, Canada. 4Department of Experimental Therapeutics, British Columbia Cancer Research Centre, Vancouver, BC, Canada. 5Department of Pathology and Laboratory Medicine and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA. 6Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA. 7Department of Obstetrics and Gynecology, Hannover Medical School, D-30625 Hannover, Germany. 8Department of Cellular and Physiological Sciences and Biomedical Research Centre, University 1 Downloaded from mct.aacrjournals.org on September 26, 2021. © 2018 American Association for Cancer Research. Author Manuscript Published OnlineFirst on September 19, 2018; DOI: 10.1158/1535-7163.MCT-18-0348 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. -
Catenin Regulates Cardiac Energy Metabolism in Sedentary and Trained Mice
life Article β-Catenin Regulates Cardiac Energy Metabolism in Sedentary and Trained Mice Volodymyr V. Balatskyi 1,2, Oksana L. Palchevska 1,3 , Lina Bortnichuk 1, Ana-Maria Gan 2, Anna Myronova 1, Larysa L. Macewicz 1, Viktor O. Navrulin 2, Lesya V. Tumanovska 4, Adam Olichwier 2, Pawel Dobrzyn 2,* and Oksana O. Piven 1,* 1 Department of Human Genetics, Institute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, 150 Akademika Zabolotnogo Street, 03680 Kyiv, Ukraine; [email protected] (V.V.B.); [email protected] (O.L.P.); [email protected] (L.B.); [email protected] (A.M.); [email protected] (L.L.M.) 2 Laboratory of Molecular Medical Biochemistry, Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland; [email protected] (A.-M.G.); [email protected] (V.O.N.); [email protected] (A.O.) 3 Laboratory of Neurodegeneration, International Institute of Molecular and Cell Biology in Warsaw, 46-580 Warsaw, Poland 4 Department of General and Molecular Pathophysiology, Bogomoletz Institute of Physiology, National Academy of Sciences of Ukraine, 4 Bogomoletz Street, 01024 Kyiv, Ukraine; [email protected] * Correspondence: [email protected] (P.D.); [email protected] (O.O.P.); Tel.: +48-022-589-24-59 (P.D.); +38-044-526-07-39 (O.O.P.); Fax: +48-022-822-53-42 (P.D.); +38-044-526-07-59 (O.O.P.) Received: 15 November 2020; Accepted: 16 December 2020; Published: 17 December 2020 Abstract: The role of canonical Wnt signaling in metabolic regulation and development of physiological cardiac hypertrophy remains largely unknown. -
EZH2 in Normal Hematopoiesis and Hematological Malignancies
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 3 EZH2 in normal hematopoiesis and hematological malignancies Laurie Herviou2, Giacomo Cavalli2, Guillaume Cartron3,4, Bernard Klein1,2,3 and Jérôme Moreaux1,2,3 1 Department of Biological Hematology, CHU Montpellier, Montpellier, France 2 Institute of Human Genetics, CNRS UPR1142, Montpellier, France 3 University of Montpellier 1, UFR de Médecine, Montpellier, France 4 Department of Clinical Hematology, CHU Montpellier, Montpellier, France Correspondence to: Jérôme Moreaux, email: [email protected] Keywords: hematological malignancies, EZH2, Polycomb complex, therapeutic target Received: August 07, 2015 Accepted: October 14, 2015 Published: October 20, 2015 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Enhancer of zeste homolog 2 (EZH2), the catalytic subunit of the Polycomb repressive complex 2, inhibits gene expression through methylation on lysine 27 of histone H3. EZH2 regulates normal hematopoietic stem cell self-renewal and differentiation. EZH2 also controls normal B cell differentiation. EZH2 deregulation has been described in many cancer types including hematological malignancies. Specific small molecules have been recently developed to exploit the oncogenic addiction of tumor cells to EZH2. Their therapeutic potential is currently under evaluation. This review summarizes the roles of EZH2 in normal and pathologic hematological processes and recent advances in the development of EZH2 inhibitors for the personalized treatment of patients with hematological malignancies. PHYSIOLOGICAL FUNCTIONS OF EZH2 state through tri-methylation of lysine 27 on histone H3 (H3K27me3) [6]. -
Towards Development of a Statistical Framework to Evaluate Myotonic Dystrophy Type 1 Mrna Biomarkers in the Context of a Clinical Trial
bioRxiv preprint doi: https://doi.org/10.1101/728881; this version posted August 8, 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. Towards development of a statistical framework to evaluate myotonic dystrophy type 1 mRNA biomarkers in the context of a clinical trial Adam Kurkiewicz1*, Anneli Cooper3¤, Emily McIlwaine3, Sarah A. Cumming3, Berit Adam3, Ralf Krahe4, Jack Puymirat5, Benedikt Schoser6, Lubov Timchenko7, Tetsuo Ashizawa 8, Charles Thornton 9, Simon Rogers2Y, John McClure1Y, Darren G Monckton3Y 1 Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom 2 School of Computing Science, University of Glasgow, Glasgow, United Kingdom 3 Institute of Molecular Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom 4 Department of Genetics, University of Texas, MD Anderson Cancer Center, Houston, TX, USA 5 Laboratory of Human Genetics, CHUL Medical Research Centre, University of Laval, Quebec City, QC, Canada 6 Friedrich Baur Institute, Department of Neurology, Ludwig Maximilians University, Munich, Germany 7 Department of Pediatrics, Division of Neurology, Cincinnati Children's Hosptial, University of Cincinnati, College of Medicine, Cincinnati Ohio, USA 8 VA Medical Center, Houston, Texas, USA 9 University of Rochester, Medical Center School of Medicine and Dentistry, Rochester, New York, USA YThese authors contributed equally to this work. ¤Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom * [email protected] August 7, 2019 1/28 bioRxiv preprint doi: https://doi.org/10.1101/728881; this version posted August 8, 2019.