TERRA Regulate the Transcriptional Landscape of Pluripotent Cells
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O-Glcnacylation Regulates the Stability and Enzymatic Activity of the Histone Methyltransferase EZH2
O-GlcNAcylation regulates the stability and enzymatic activity of the histone methyltransferase EZH2 Pei-Wen Loa, Jiun-Jie Shieb, Chein-Hung Chena, Chung-Yi Wua, Tsui-Ling Hsua, and Chi-Huey Wonga,1 aGenomics Research Center, Academia Sinica, Taipei 115, Taiwan; and bInstitute of Chemistry, Academia Sinica, Taipei 115, Taiwan Contributed by Chi-Huey Wong, May 16, 2018 (sent for review February 1, 2018; reviewed by Michael D. Burkart, Benjamin G. Davis, and Gerald W. Hart) Protein O-glycosylation by attachment of β-N-acetylglucosamine maintenance and differentiation in embryonic stem cells (14, 15). (GlcNAc) to the Ser or Thr residue is a major posttranslational It was suggested that O-GlcNAcylation might play an important glycosylation event and is often associated with protein folding, role in the regulation of PRC1-mediated gene expression, and stability, and activity. The methylation of histone H3 at Lys-27 along this line the O-GlcNAcylation of EZH2 at S76 in the PRC2 catalyzed by the methyltransferase EZH2 was known to suppress complex was reported to stablize EZH2 in our previous study (16). gene expression and cancer development, and we previously The PRC2 complex is composed of Enhancer of zeste 2 (EZH2), reported that the O-GlcNAcylation of EZH2 at S76 stabilized Suppressor of Zeste 12 (Suz12), Extraembryonic endoderm (EED), EZH2 and facilitated the formation of H3K27me3 to inhibit tumor AE binding protein 2 (AEBP2), and retinoblastoma binding protein suppression. In this study, we employed a fluorescence-based method 4/7 (RBBP4/7) (17, 18). Within the PRC2 complex, EZH2 catalyzes the di- and trimethylation of histone H3 at lysine 27 (K27) to form of sugar labeling combined with mass spectrometry to investigate H3K27me2/3 to regulate embryonic and cancer development EZH2 glycosylation and identified five O-GlcNAcylation sites. -
The Mutational Landscape of Myeloid Leukaemia in Down Syndrome
cancers Review The Mutational Landscape of Myeloid Leukaemia in Down Syndrome Carini Picardi Morais de Castro 1, Maria Cadefau 1,2 and Sergi Cuartero 1,2,* 1 Josep Carreras Leukaemia Research Institute (IJC), Campus Can Ruti, 08916 Badalona, Spain; [email protected] (C.P.M.d.C); [email protected] (M.C.) 2 Germans Trias i Pujol Research Institute (IGTP), Campus Can Ruti, 08916 Badalona, Spain * Correspondence: [email protected] Simple Summary: Leukaemia occurs when specific mutations promote aberrant transcriptional and proliferation programs, which drive uncontrolled cell division and inhibit the cell’s capacity to differentiate. In this review, we summarize the most frequent genetic lesions found in myeloid leukaemia of Down syndrome, a rare paediatric leukaemia specific to individuals with trisomy 21. The evolution of this disease follows a well-defined sequence of events and represents a unique model to understand how the ordered acquisition of mutations drives malignancy. Abstract: Children with Down syndrome (DS) are particularly prone to haematopoietic disorders. Paediatric myeloid malignancies in DS occur at an unusually high frequency and generally follow a well-defined stepwise clinical evolution. First, the acquisition of mutations in the GATA1 transcription factor gives rise to a transient myeloproliferative disorder (TMD) in DS newborns. While this condition spontaneously resolves in most cases, some clones can acquire additional mutations, which trigger myeloid leukaemia of Down syndrome (ML-DS). These secondary mutations are predominantly found in chromatin and epigenetic regulators—such as cohesin, CTCF or EZH2—and Citation: de Castro, C.P.M.; Cadefau, in signalling mediators of the JAK/STAT and RAS pathways. -
Global LC/MS Metabolomics Profiling of Calcium Stressed and Immunosuppressant Drug Treated Saccharomyces Cerevisiae
Metabolites 2013, 3, 1102-1117; doi:10.3390/metabo3041102 OPEN ACCESS metabolites ISSN 2218-1989 www.mdpi.com/journal/metabolites/ Article Global LC/MS Metabolomics Profiling of Calcium Stressed and Immunosuppressant Drug Treated Saccharomyces cerevisiae Stefan Jenkins 1,2,3,*, Steven M. Fischer 2, Lily Chen 3 and Theodore R. Sana 2 1 Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA 2 Agilent Technologies, Life Sciences, Diagnostics and Applied Markets, Santa Clara, CA 95051, USA; E-Mails: [email protected] (S.M.F.); [email protected] (T.R.S.) 3 Biology Department, San Francisco State University, San Francisco, CA 94132, USA; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-650-922-5046; Fax: +1-510-486-4545. Received: 15 October 2013; in revised form: 20 November 2013 / Accepted: 25 November 2013 / Published: 6 December 2013 Abstract: Previous studies have shown that calcium stressed Saccharomyces cerevisiae, challenged with immunosuppressant drugs FK506 and Cyclosporin A, responds with comprehensive gene expression changes and attenuation of the generalized calcium stress response. Here, we describe a global metabolomics workflow for investigating the utility of tracking corresponding phenotypic changes. This was achieved by efficiently analyzing relative abundance differences between intracellular metabolite pools from wild-type and calcium stressed cultures, with and without prior immunosuppressant drugs exposure. We used pathway database content from WikiPathways and YeastCyc to facilitate the projection of our metabolomics profiling results onto biological pathways. A key challenge was to increase the coverage of the detected metabolites. This was achieved by applying both reverse phase (RP) and aqueous normal phase (ANP) chromatographic separations, as well as electrospray ionization (ESI) and atmospheric pressure chemical ionization (APCI) sources for detection in both ion polarities. -
Leukemia and Lymphoma: Molecular and Therapeutic Insights
This is a free sample of content from Leukemia and Lymphoma: Molecular and Therapeutic Insights. Click here for more information on how to buy the book. Index A PRPF8, 307 AA. See Aplastic anemia SF3B1, 307 ABL1, 347, 368–369 SRSF2, 307 ABL2, 369 SUZ12, 120 ABT-199, 368 TET2, 117, 119, 121, 305 ABT-731, 181 U2AF1, 307 ACIN1, 374 U2AF2, 307 Acute lymphocytic leukemia (ALL). See also B- ZRSR2, 307 progenitor acute lymphoblastic therapeutic targeting leukemia; T-cell acute lymphoblastic combination therapy, 123–124 leukemia histone epigenetic mechanisms, 121, 123 epidemiology specific epigenetic mechanisms, 121 adult, 32–33 induced pluripotent stem cell models, 257–259 pediatric, 29–30 leukemia stem cell studies. See Leukemia stem cell Acute megakaryoblastic leukemia (AMKL) model children without Down syndrome, 326–329 mouse models. See Mouse models Down syndrome association pathophysiology, 295–296 clinical and biological features, 324–325 recurrent mutations GATA1 CEBPA, 301–302 cooperation with trisomy genes, 323–324 GATA2, 302 mutations, 323 NPM1, 300–301 genetic susceptibility, 321–322 RUNX1, 301 transforming mutation acquisition, 325–326 signal transduction mutations overview, 319–320 CBL, 303 RNA-binding proteins, 153 FLT3, 302 Acute myeloid leukemia (AML) KIT, 302–303 chromosomal abnormalities KRAS, 303 core binding factor rearrangements, 296–297 NF1, 303–304 KMT2A rearrangements, 298–299 NRAS, 303 rare translocations, 299–300 PTPN11, 303 clonal hematoipoiesis, 75 therapeutic targeting epidemiology CD123, 91–92 adult, 31–32 CD33, -
And Macro-Level Network Metrics Unveils Top Communicative Gene Modules in Psoriasis
G C A T T A C G G C A T genes Article Using Micro- and Macro-Level Network Metrics Unveils Top Communicative Gene Modules in Psoriasis 1, 2 3 Reyhaneh Naderi y, Homa Saadati Mollaei , Arne Elofsson 3, , and Saman Hosseini Ashtiani * y 1 Department of Artificial Intelligence and Robotics, Faculty of Computer Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran; [email protected] 2 Department of Advanced Sciences and Technology, Islamic Azad University Tehran Medical Sciences, Tehran 1916893813, Iran; [email protected] 3 Department of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, 106 91 Stockholm, Sweden; [email protected] * Correspondence: [email protected]; Tel.: +46-762623644 These authors contributed equally to this work and should be considered joint first authors. y Received: 9 July 2020; Accepted: 6 August 2020; Published: 10 August 2020 Abstract: (1) Background: Psoriasis is a multifactorial chronic inflammatory disorder of the skin, with significant morbidity, characterized by hyperproliferation of the epidermis. Even though psoriasis’ etiology is not fully understood, it is believed to be multifactorial, with numerous key components. (2) Methods: In order to cast light on the complex molecular interactions in psoriasis vulgaris at both protein–protein interactions and transcriptomics levels, we studied a set of microarray gene expression analyses consisting of 170 paired lesional and non-lesional samples. Afterwards, a network analysis was conducted on the protein–protein interaction network of differentially expressed genes based on micro- and macro-level network metrics at a systemic level standpoint. (3) Results: We found 17 top communicative genes, all of which were experimentally proven to be pivotal in psoriasis, which were identified in two modules, namely the cell cycle and immune system. -
The Polycomb Group Protein Suz12 Is Required for Embryonic Stem Cell Differentiationᰔ† Diego Pasini,1 Adrian P
MOLECULAR AND CELLULAR BIOLOGY, May 2007, p. 3769–3779 Vol. 27, No. 10 0270-7306/07/$08.00ϩ0 doi:10.1128/MCB.01432-06 Copyright © 2007, American Society for Microbiology. All Rights Reserved. The Polycomb Group Protein Suz12 Is Required for Embryonic Stem Cell Differentiationᰔ† Diego Pasini,1 Adrian P. Bracken,1 Jacob B. Hansen,2 Manuela Capillo,3,4 and Kristian Helin1* Centre for Epigenetics and BRIC, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen, Denmark1; Department of Biomedical Sciences, University of Copenhagen, Blegdamsvej 3, 2200 Copenhagen, Denmark2; Department of Experimental Oncology, European Institute of Oncology, Via Ripamonti 435, 20141 Milan, Italy3; and Institute of Molecular Oncology of the Italian Foundation for Cancer Research, Via Adamello 16, 20139 Milan, Italy4 Received 3 August 2006/Returned for modification 10 October 2006/Accepted 22 February 2007 Downloaded from Polycomb group (PcG) proteins form multiprotein complexes, called Polycomb repressive complexes (PRCs). PRC2 contains the PcG proteins EZH2, SUZ12, and EED and represses transcription through methylation of lysine (K) 27 of histone H3 (H3). Suz12 is essential for PRC2 activity and its inactivation results in early lethality of mouse embryos. Here, we demonstrate that Suz12؊/؊ mouse embryonic stem (ES) cells can be established and expanded in tissue culture. The Suz12؊/؊ ES cells are characterized by global loss of H3K27 trimethylation (H3K27me3) and higher expression levels of differentiation-specific genes. Moreover, Suz12؊/؊ ES cells are impaired in proper differentiation, resulting in a lack of repression of ES cell markers as well as activation of differentiation-specific genes. Finally, we demonstrate that the PcGs are actively recruited to several genes during ES cell differentiation, which despite an increase in H3K27me3 levels is not always http://mcb.asm.org/ sufficient to prevent transcriptional activation. -
Automethylation of PRC2 Promotes H3K27 Methylation and Is Impaired in H3K27M Pediatric Glioma
Downloaded from genesdev.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press Automethylation of PRC2 promotes H3K27 methylation and is impaired in H3K27M pediatric glioma Chul-Hwan Lee,1,2,7 Jia-Ray Yu,1,2,7 Jeffrey Granat,1,2,7 Ricardo Saldaña-Meyer,1,2 Joshua Andrade,3 Gary LeRoy,1,2 Ying Jin,4 Peder Lund,5 James M. Stafford,1,2,6 Benjamin A. Garcia,5 Beatrix Ueberheide,3 and Danny Reinberg1,2 1Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, New York 10016, USA; 2Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA; 3Proteomics Laboratory, New York University School of Medicine, New York, New York 10016, USA; 4Shared Bioinformatics Core, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA; 5Department of Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA The histone methyltransferase activity of PRC2 is central to the formation of H3K27me3-decorated facultative heterochromatin and gene silencing. In addition, PRC2 has been shown to automethylate its core subunits, EZH1/ EZH2 and SUZ12. Here, we identify the lysine residues at which EZH1/EZH2 are automethylated with EZH2-K510 and EZH2-K514 being the major such sites in vivo. Automethylated EZH2/PRC2 exhibits a higher level of histone methyltransferase activity and is required for attaining proper cellular levels of H3K27me3. While occurring inde- pendently of PRC2 recruitment to chromatin, automethylation promotes PRC2 accessibility to the histone H3 tail. Intriguingly, EZH2 automethylation is significantly reduced in diffuse intrinsic pontine glioma (DIPG) cells that carry a lysine-to-methionine substitution in histone H3 (H3K27M), but not in cells that carry either EZH2 or EED mutants that abrogate PRC2 allosteric activation, indicating that H3K27M impairs the intrinsic activity of PRC2. -
Biological Pathways
Biological pathways Bing Zhang Department of Biomedical Informatics Vanderbilt University [email protected] Biological pathway A biological pathway is a series of actions among molecules in a cell that leads to a certain product or a change in a cell. Different types of biological pathways Signal transduction pathways Gene regulation pathways Metabolic pathways 2 Applied Bioinformatics, Spring 2011 Outline Pathway databases Pathway assembly and editing Pathway mapping and enrichment analysis 3 Applied Bioinformatics, Spring 2011 Selected pathway databases KEGG Kyoto Encyclopedia of Genes and Genomes http://www.genome.jp/kegg/pathway.html Reactome Ontario Institute for Cancer Research, Cold Spring Harbor Laboratory, New York University School of Medicine and The European Bioinformatics Institute http://www.reactome.org/ WikiPathways University of Maastricht and UCSF http://www.wikipathways.org/ 4 Applied Bioinformatics, Spring 2011 KEGG: data model Molecular building blocks KEGG GENES: genes and proteins generated by genome sequencing projects KEGG ORTHOLOGY: orthology (KO) groups KEGG COMPOUND: small molecules KEGG REACTIONS: biochemical reactions KEGG PATHWAY: pathway maps Created in a general way to be applicable to all organisms, in terms of the orthologs defined by KO groups Organism-specific pathways can be generated by converting KO groups to gene identifiers in a given organism 5 Applied Bioinformatics, Spring 2011 KEGG: TCA cycle 6 Applied Bioinformatics, Spring 2011 Reactome: data model Entities -
The EZH1–SUZ12 Complex Positively Regulates the Transcription of NF-Κb
© 2016. Published by The Company of Biologists Ltd | Journal of Cell Science (2016) 129, 2343-2353 doi:10.1242/jcs.185546 RESEARCH ARTICLE The EZH1–SUZ12 complex positively regulates the transcription of NF-κB target genes through interaction with UXT Shuai-Kun Su, Chun-Yuan Li, Pin-Ji Lei, Xiang Wang, Quan-Yi Zhao, Yang Cai, Zhen Wang, Lianyun Li* and Min Wu* ABSTRACT zeste 2 polycomb repressive complex 2 subunit (EZH2) (Shen et al., Drosophila Unlike other members of the polycomb group protein family, EZH1 2008). EZH2 mimics the function of E(Z) in and is the has been shown to positively associate with active transcription on a main methyltransferase for H3K27 in mammalian cells (Shen et al., genome-wide scale. However, the underlying mechanism for this 2008). However, controversial reports exist about EZH1, which behavior still remains elusive. Here, we report that EZH1 physically means its activities have been a puzzle for a long time. Compared interacts with UXT, a small chaperon-like transcription co-activator. with EZH2, EZH1 has lower enzymatic activity, suggesting it might UXT specifically interacts with EZH1 and SUZ12, but not EED. have distinct functions (Margueron et al., 2008). Several groups Similar to upon knockdown of UXT, knockdown of EZH1 or SUZ12 reported that EZH1 methylates histone H3K27 and compensates for through RNA interference in the cell impairs the transcriptional the functions of EZH2 upon its absence (Bae et al., 2015; Hidalgo activation of nuclear factor (NF)-κB target genes induced by TNFα. et al., 2012; Shen et al., 2008). Recently, Mousavi et al. -
Alu Elements in ANRIL Non-Coding RNA at Chromosome 9P21 Modulate Atherogenic Cell Functions Through Trans-Regulation of Gene Networks
Alu Elements in ANRIL Non-Coding RNA at Chromosome 9p21 Modulate Atherogenic Cell Functions through Trans-Regulation of Gene Networks Lesca M. Holdt1,2,3, Steve Hoffmann1,4, Kristina Sass2, David Langenberger1,4, Markus Scholz1,5, Knut Krohn1,6, Knut Finstermeier1,2, Anika Stahringer2,3, Wolfgang Wilfert2,3, Frank Beutner1,2,7, Stephan Gielen1,7, Gerhard Schuler1,7, Gabor Ga¨bel8, Hendrik Bergert8, Ingo Bechmann9, Peter F. Stadler1,4,10,11, Joachim Thiery1,2, Daniel Teupser1,2,3* 1 LIFE – Leipzig Research Center for Civilization Diseases, Universita¨t Leipzig, Leipzig, Germany, 2 Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Leipzig, Germany, 3 Institute of Laboratory Medicine, Ludwig-Maximilians-University Munich, Munich, Germany, 4 Transcriptome Bioinformatics Group and Interdisciplinary Centre for Bioinformatics, University Leipzig, Leipzig, Germany, 5 Institute for Medical Informatics, Statistics and Epidemiology, University Leipzig, Leipzig, Germany, 6 Interdisciplinary Center for Clinical Research, University Leipzig, Leipzig, Germany, 7 Department of Internal Medicine/Cardiology, Heart Center, University Leipzig, Leipzig, Germany, 8 Department of General, Thoracic, and Vascular Surgery, University Dresden, Dresden, Germany, 9 Institute of Anatomy, University Leipzig, Leipzig, Germany, 10 Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany, 11 Santa Fe Institute, Santa Fe, New Mexico, United States of America Abstract The chromosome 9p21 (Chr9p21) locus of coronary artery disease has been identified in the first surge of genome-wide association and is the strongest genetic factor of atherosclerosis known today. Chr9p21 encodes the long non-coding RNA (ncRNA) antisense non-coding RNA in the INK4 locus (ANRIL). ANRIL expression is associated with the Chr9p21 genotype and correlated with atherosclerosis severity. -
Confirmation of Pathogenic Mechanisms by SARS-Cov-2–Host
Messina et al. Cell Death and Disease (2021) 12:788 https://doi.org/10.1038/s41419-021-03881-8 Cell Death & Disease ARTICLE Open Access Looking for pathways related to COVID-19: confirmation of pathogenic mechanisms by SARS-CoV-2–host interactome Francesco Messina 1, Emanuela Giombini1, Chiara Montaldo1, Ashish Arunkumar Sharma2, Antonio Zoccoli3, Rafick-Pierre Sekaly2, Franco Locatelli4, Alimuddin Zumla5, Markus Maeurer6,7, Maria R. Capobianchi1, Francesco Nicola Lauria1 and Giuseppe Ippolito 1 Abstract In the last months, many studies have clearly described several mechanisms of SARS-CoV-2 infection at cell and tissue level, but the mechanisms of interaction between host and SARS-CoV-2, determining the grade of COVID-19 severity, are still unknown. We provide a network analysis on protein–protein interactions (PPI) between viral and host proteins to better identify host biological responses, induced by both whole proteome of SARS-CoV-2 and specific viral proteins. A host-virus interactome was inferred, applying an explorative algorithm (Random Walk with Restart, RWR) triggered by 28 proteins of SARS-CoV-2. The analysis of PPI allowed to estimate the distribution of SARS-CoV-2 proteins in the host cell. Interactome built around one single viral protein allowed to define a different response, underlining as ORF8 and ORF3a modulated cardiovascular diseases and pro-inflammatory pathways, respectively. Finally, the network-based approach highlighted a possible direct action of ORF3a and NS7b to enhancing Bradykinin Storm. This network-based representation of SARS-CoV-2 infection could be a framework for pathogenic evaluation of specific 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; clinical outcomes. -
Post-Graduate Diploma Program in Personalized Genomic Medicine” for Skill Development (DBT Sponsored Scheme)
UNIVERSITY OF MYSORE Syllabus for “Post-graduate Diploma Program in Personalized Genomic Medicine” For Skill Development (DBT Sponsored Scheme) FCBCS-CAGP SYSTEM Department of Studies in Genetics and Genomics University of Mysore Manasagangotri, Mysuru – 570 006 2019-20 1 PREAMBLE: The Information and potential use of genomic discoveries are no longer issues left for scientists and medical professionals to handle, but have become ones for the public at large. Rarely a day passes without genomics related story reported in the media. The proposed diploma program is designed to provide advanced knowledge dissemination in the field of genome sciences, applications and laboratory skills needed for molecular diagnostics and precision medicine procedures conducted in a clinical or research environment. The program is intended for those individuals who wish to enhance their laboratory expertise and knowledge in molecular-based methods. Precision medicine has the potential to fundamentally change how health care is practiced, but requires a trained health care workforce that understands the complexities of this field. One important component of precision medicine is the use of an individual’s genomic information to offer targeted treatment, tailored to the individual. Our course aims to provide participants with advanced knowledge of genomics, an overview of the clinical applications of genomic medicine, the skills to evaluate the clinical validity and utility of new tests, and an appreciation of the associated ethical and social issues inherent in this field. The course is geared towards individuals with a background in the biological sciences and a basic understanding of genetics. It is designed to be succinct and clinically focused, offering both conceptual and practical information about real-world applications of genomics.