Therapeutic Potential of Targeting the SUMO Pathway in Cancer
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Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association Between BMI and Adult-Onset Non- Atopic
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association between BMI and Adult-Onset Non- Atopic Asthma Ayoung Jeong 1,2, Medea Imboden 1,2, Akram Ghantous 3, Alexei Novoloaca 3, Anne-Elie Carsin 4,5,6, Manolis Kogevinas 4,5,6, Christian Schindler 1,2, Gianfranco Lovison 7, Zdenko Herceg 3, Cyrille Cuenin 3, Roel Vermeulen 8, Deborah Jarvis 9, André F. S. Amaral 9, Florian Kronenberg 10, Paolo Vineis 11,12 and Nicole Probst-Hensch 1,2,* 1 Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland; [email protected] (A.J.); [email protected] (M.I.); [email protected] (C.S.) 2 Department of Public Health, University of Basel, 4001 Basel, Switzerland 3 International Agency for Research on Cancer, 69372 Lyon, France; [email protected] (A.G.); [email protected] (A.N.); [email protected] (Z.H.); [email protected] (C.C.) 4 ISGlobal, Barcelona Institute for Global Health, 08003 Barcelona, Spain; [email protected] (A.-E.C.); [email protected] (M.K.) 5 Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain 6 CIBER Epidemiología y Salud Pública (CIBERESP), 08005 Barcelona, Spain 7 Department of Economics, Business and Statistics, University of Palermo, 90128 Palermo, Italy; [email protected] 8 Environmental Epidemiology Division, Utrecht University, Institute for Risk Assessment Sciences, 3584CM Utrecht, Netherlands; [email protected] 9 Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College, SW3 6LR London, UK; [email protected] (D.J.); [email protected] (A.F.S.A.) 10 Division of Genetic Epidemiology, Medical University of Innsbruck, 6020 Innsbruck, Austria; [email protected] 11 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG London, UK; [email protected] 12 Italian Institute for Genomic Medicine (IIGM), 10126 Turin, Italy * Correspondence: [email protected]; Tel.: +41-61-284-8378 Int. -
The Conserved Ancient Role of Chordate PIAS As a Multilevel
www.nature.com/scientificreports OPEN The conserved ancient role of chordate PIAS as a multilevel repressor of the NF-κB pathway Received: 14 March 2017 Ruihua Wang1,2, Shengfeng Huang1, Xianan Fu1, Guangrui Huang3, Xinyu Yan1, Zirui Yue1, Accepted: 15 November 2017 Shangwu Chen1, Yingqiu Li1 & Anlong Xu1,3 Published: xx xx xxxx In vertebrates, PIAS genes encode versatile cellular regulators, with functions extremely complex and redundant. Here we try to understand their functions from an evolutionary perspective. we evaluate the sequences, expression and molecular functions of amphioxus PIAS genes and compare them with their vertebrate counterparts. Phylogenetic analysis suggests a single PIAS gene in ancestral chordates, which has been duplicated into four families (PIAS1-4) in vertebrates by 2R-WGD but remained single in a basal chordate (amphioxus). Amphioxus PIAS encodes two variants with and without a Serine/ Threonine-rich tail, which are retained in human PIAS1-3 but lost in PIAS4. We show that amphioxus PIAS binds C-terminus of NF-κB Rel and blocks the DNA binding activity. In humans, such function is retained in PIAS1, altered in PIAS4, and lost in PIAS2-3. Instead, PIAS3 has evolved new ability to inhibit Rel by binding RHD and promoting SUMOylation. We show that amphioxus PIAS also inhibits NF-κB by binding with upstream signalling adaptor TICAM-like and MyD88. Finally, we verify that human PIAS1, 3 and 4, but not 2, were capable of these newly-discovered functions. Our study ofers insight into the sub- and neo-functionalization of PIAS genes and suggests a conserved ancient role for chordate PIAS in NF-κB signalling. -
Post-Translational Modifications of the Energy Guardian AMP-Activated
International Journal of Molecular Sciences Review Post-Translational Modifications of the Energy Guardian AMP-Activated Protein Kinase Ashley J. Ovens 1,2 , John W. Scott 2,3,4 , Christopher G. Langendorf 3, Bruce E. Kemp 2,3, Jonathan S. Oakhill 1,2 and William J. Smiles 1,* 1 Metabolic Signalling Laboratory, St Vincent’s Institute of Medical Research, School of Medicine, University of Melbourne, Fitzroy, VIC 3065, Australia; [email protected] (A.J.O.); [email protected] (J.S.O.) 2 Mary MacKillop Institute for Health Research, Australian Catholic University, Fitzroy, VIC 3000, Australia; [email protected] (J.W.S.); [email protected] (B.E.K.) 3 Protein Chemistry & Metabolism, St Vincent’s Institute of Medical Research, School of Medicine, University of Melbourne, Fitzroy, VIC 3065, Australia; [email protected] 4 The Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052, Australia * Correspondence: [email protected] Abstract: Physical exercise elicits physiological metabolic perturbations such as energetic and ox- idative stress; however, a diverse range of cellular processes are stimulated in response to combat these challenges and maintain cellular energy homeostasis. AMP-activated protein kinase (AMPK) is a highly conserved enzyme that acts as a metabolic fuel sensor and is central to this adaptive response to exercise. The complexity of AMPK’s role in modulating a range of cellular signalling cascades is well documented, yet aside from its well-characterised regulation by activation loop phosphorylation, AMPK is further subject to a multitude of additional regulatory stimuli. There- fore, in this review we comprehensively outline current knowledge around the post-translational Citation: Ovens, A.J; Scott, J.W; modifications of AMPK, including novel phosphorylation sites, as well as underappreciated roles for Langendorf, C.G; Kemp, B.E; Oakhill, ubiquitination, sumoylation, acetylation, methylation and oxidation. -
Supplemental Figure 1. Protein-Protein Interaction Network with Increased Expression in Fteb During the Luteal Phase
Supplemental Figure 1. Protein-protein interaction network with increased expression in FTEb during the luteal phase. Supplemental Figure 2. Protein-protein interaction network with decreased expression in FTEb during luteal phase. LEGENDS TO SUPPLEMENTAL FIGURES Supplemental Figure 1. Protein-protein interaction network with increased expression in FTEb during the luteal phase. Submission of probe sets differentially expressed in the FTEb specimens that clustered with SerCa as well as those specifically altered in FTEb luteal samples to the online I2D database revealed overlapping networks of proteins with increased expression in the four FTEb samples and/or FTEb luteal samples overall. Proteins are represented by nodes, and known and predicted first-degree interactions are represented by solid lines. Genes encoding proteins shown as large ovals highlighted in blue were exclusively found in the first comparison (Manuscript Figure 2), whereas those highlighted in red were only found in the second comparison (Manuscript Figure 3). Genes encoding proteins shown as large ovals highlighted in black were found in both comparisons. The color of each node indicates the ontology of the corresponding protein as determined by the Online Predicted Human Interaction Database (OPHID) link with the NAViGaTOR software. Supplemental Figure 2. Protein-protein interaction network with decreased expression in FTEb during the luteal phase. Submission of probe sets differentially expressed in the FTEb specimens that clustered with SerCa as well as those specifically altered in FTEb luteal samples to the online I2D database revealed overlapping networks of proteins with decreased expression in the four FTEb samples and/or FTEb luteal samples overall. Proteins are represented by nodes, and known and predicted first-degree interactions are represented by solid lines. -
Dynamics of RIF1 Sumoylation Is Regulated by PIAS4 in The
www.nature.com/scientificreports Correction: Author Correction OPEN Dynamics of RIF1 SUMOylation is regulated by PIAS4 in the maintenance of Genomic Stability Received: 26 July 2017 Ramesh Kumar1,2,5 & Chit Fang Cheok1,2,3,4 Accepted: 20 November 2017 RIF1 plays a key role in inhibiting DNA end resection and promoting NHEJ mediated DNA double Published: xx xx xxxx stand break repair in G1. However, whether SUMOlyation may regulate RIF1 functions is still largely unknown. Here, we report that RIF1 is SUMOlyated in response to DNA damage. We identifed PIAS4 as the primary SUMO E3 ligase required for the SUMOylation of RIF1 protein. Mammalian cells compromised of PIAS4 expression, show impaired RIF1 SUMOylation and defective for the disassembly of DNA damage responsive RIF1 foci. Mechanistically, we show that PIAS4 knockdown abrogates UHRF1-dependent ubiquitination of RIF1, compromising RIF1 protein turnover. We detected intense RPA foci that colocalize with RIF1 foci in PIAS4 knockdown cells. These data highlight an important role of PIAS4-dependent regulation of RIF1, likely mediated by SUMOylation, in the disassembly of RIF1 DNA damage response (DDR) foci. We propose that unresolved RIF1 protein at sites of DNA damage in PIAS4-depleted cells largely accumulates in S phase, and subsequently leads to DNA double strand breaks. Therefore, PIAS4 promotes genomic stability by regulating the timely removal of RIF1 from sites of DNA damage. DNA damage activates a wide range of responses including altered gene expression, cell cycle arrest and activation of DNA repair1. To preserve genome integrity afer genotoxic insult, eukaryotic cells have developed a highly conserved surveillance mechanism, collectively termed the DNA damage response (DDR) pathway2,3. -
Plots of Observed and Expected Χ2 Values of Association Between SNP Genotype and Risk of Chronic Lymphocytic Leukemia
λ = 0.9955 λ = 1.001 a) 60 b) 60 50 50 40 40 values values 2 2 30 30 χ χ 20 20 observed observed 10 10 0 0 0 10 20 30 40 50 60 0 10 20 30 40 50 60 expected χ2 values expected χ2 values λ = 0.9992 λ = 1.1054 c) 60 d) 60 50 50 40 40 values values 2 2 30 30 χ χ 20 20 observed observed 10 10 0 0 0 10 20 30 40 50 60 0 10 20 30 40 50 60 expected χ2 values expected χ2 values λ = 1.0268 λ = 1.0175 e) 60 f) 60 50 50 40 40 values values 2 2 30 30 χ χ 20 20 observed observed 10 10 0 0 0 10 20 30 40 50 60 0 10 20 30 40 50 60 expected χ2 values expected χ2 values Supplementary Figure 1: Quantile-Quantile (Q-Q) plots of observed and expected χ2 values of association between SNP genotype and risk of chronic lymphocytic leukemia. a) UK-CLL1, b) UK-CLL2, c) GEC, d) NHL GWAS, e) UCSF and f) Utah. The red line represents the null hypothesis of no true association. a) rs34676223 Chromosome 1 position (kb, hg19) 23,945 23,950 23,955 23,960 23,965 23,970 23,975 23,980 23,985 Super- CD19+ B-cell enhancers GM12878 MDS2 Genes MDS2 SNPs 4245 _ mCLL 0 _ 3352 _ uCLL ATAC-seq 0 _ 500 _ CD19+ CD20+ B-cell 0 _ 200 _ mCLL H3K27ac 0 _ 200 _ uCLL H3K27ac 0 _ 200 _ Histone mCLL H3K4me1 0 _ marks: 200 _ uCLL CLL H3K4me1 0 _ 50 _ mCLL H3K27me3 0 _ 50 _ uCLL H3K27me3 0 _ 50 _ GM12878 H3K27ac 0 _ Histone 50 _ marks: GM12878 H3K4me1 0 _ GM12878 50 _ GM12878 H3K27me3 0 _ b) rs41271473 Chromosome 1 position (kb, hg19) 228,750 228,800 228,850 228,900 Super- CD19+ B-cell enhancers GM12878 Genes RHOU SNPs 374 _ mCLL 0 _ 316 _ uCLL ATAC-seq 0 _ 200 _ CD19+ CD20+ B-cell 0 _ mCLL 50 -
Identification of Potential Core Genes in Sevoflurance Induced Myocardial
Identication of Potential core genes in Sevourance induced Myocardial Energy Metabolism in Patients Undergoing Off-pump Coronary Artery Bypass Graft Surgery using Bioinformatics analysis Hua Lin ( [email protected] ) Tianjin Medical University General Hospital Airport Site Research article Keywords: sevourane, Myocardial Energy Metabolism, Off-pump Coronary Artery Bypass Graft Surgery Posted Date: November 18th, 2019 DOI: https://doi.org/10.21203/rs.2.17434/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/15 Abstract Background: Myocardial ischemia-reperfusion injury always happened after Off-pump coronary artery bypass graft(OPCABG), and this can not be avoided altogether. In this study, we tried to detect potential genes of sevourane-induced myocardial energy metabolism in patients undergoing OPCABG using bioinformatics analysis. Methods: We download and analyze the gene expression prole data from the Gene Expression Omnibus(GEO) database using bioinformatics methods. We downloded the gene expression data from the Gene Expression Omnibus(GEO) database using bioinformatics methods. Gene Ontology(GO) functional annotation analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were used to analysis the screened differentially expressed genes(DEGs). Then, we established a protein–protein interaction (PPI) network to nd hub genes associated with myocardial energy metabolism. Results: Through PPI network, we nd ten hub genes, including JUN, EGR1, ATF3, FOSB, JUNB, DUSP1, EGR2, NR4A1, BTG2, NR4A2. Conclusions: In conclusion, the proteins encoded by EGR1ATF3c-FosBtg2JunBDUSP1NR4A1BTG2 and NR4A2 were related to cardiac function. ATF3, FOSB, JUNB, DUSP1, NR4A1, NR4A2 are related to apoptosis of cardiomyocytes. The protein encoded by BTG2 is related to hypertrophy. -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ...................................................... -
2653.Full.Pdf
Characterization of a PIAS4 Homologue from Zebrafish: Insights into Its Conserved Negative Regulatory Mechanism in the TRIF, MAVS, and IFN Signaling Pathways during This information is current as Vertebrate Evolution of September 25, 2021. Ran Xiong, Li Nie, Li-xin Xiang and Jian-zhong Shao J Immunol 2012; 188:2653-2668; Prepublished online 17 February 2012; doi: 10.4049/jimmunol.1100959 Downloaded from http://www.jimmunol.org/content/188/6/2653 Supplementary http://www.jimmunol.org/content/suppl/2012/02/17/jimmunol.110095 http://www.jimmunol.org/ Material 9.DC1 References This article cites 72 articles, 33 of which you can access for free at: http://www.jimmunol.org/content/188/6/2653.full#ref-list-1 Why The JI? Submit online. by guest on September 25, 2021 • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Characterization of a PIAS4 Homologue from Zebrafish: Insights into Its Conserved Negative Regulatory Mechanism in the TRIF, MAVS, and IFN Signaling Pathways during Vertebrate Evolution Ran Xiong, Li Nie, Li-xin Xiang, and Jian-zhong Shao Members of the protein inhibitor of activated STAT (PIAS) family are key regulators of various human and mammalian signaling pathways, but data on their occurrence and functions in ancient vertebrates are limited. -
Signaling This Information Is Current As of September 26, 2021
IL-2 Requirement for Human Plasma Cell Generation: Coupling Differentiation and Proliferation by Enhancing MAPK−ERK Signaling This information is current as of September 26, 2021. Simon Le Gallou, Gersende Caron, Céline Delaloy, Delphine Rossille, Karin Tarte and Thierry Fest J Immunol 2012; 189:161-173; Prepublished online 25 May 2012; doi: 10.4049/jimmunol.1200301 Downloaded from http://www.jimmunol.org/content/189/1/161 Supplementary http://www.jimmunol.org/content/suppl/2012/05/25/jimmunol.120030 http://www.jimmunol.org/ Material 1.DC1 References This article cites 55 articles, 29 of which you can access for free at: http://www.jimmunol.org/content/189/1/161.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 26, 2021 • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology IL-2 Requirement for Human Plasma Cell Generation: Coupling Differentiation and Proliferation by Enhancing MAPK–ERK Signaling Simon Le Gallou,*,†,‡,1,2 Gersende Caron,*,†,‡,x,1 Ce´line Delaloy,*,†,‡,x,1 Delphine Rossille,x,{ Karin Tarte,*,†,‡,x and Thierry Fest*,†,‡,x Mature B cell differentiation involves a well-established transcription factor cascade. -
SUPPLEMENTARY APPENDIX Exome Sequencing Reveals Heterogeneous Clonal Dynamics in Donor Cell Myeloid Neoplasms After Stem Cell Transplantation
SUPPLEMENTARY APPENDIX Exome sequencing reveals heterogeneous clonal dynamics in donor cell myeloid neoplasms after stem cell transplantation Julia Suárez-González, 1,2 Juan Carlos Triviño, 3 Guiomar Bautista, 4 José Antonio García-Marco, 4 Ángela Figuera, 5 Antonio Balas, 6 José Luis Vicario, 6 Francisco José Ortuño, 7 Raúl Teruel, 7 José María Álamo, 8 Diego Carbonell, 2,9 Cristina Andrés-Zayas, 1,2 Nieves Dorado, 2,9 Gabriela Rodríguez-Macías, 9 Mi Kwon, 2,9 José Luis Díez-Martín, 2,9,10 Carolina Martínez-Laperche 2,9* and Ismael Buño 1,2,9,11* on behalf of the Spanish Group for Hematopoietic Transplantation (GETH) 1Genomics Unit, Gregorio Marañón General University Hospital, Gregorio Marañón Health Research Institute (IiSGM), Madrid; 2Gregorio Marañón Health Research Institute (IiSGM), Madrid; 3Sistemas Genómicos, Valencia; 4Department of Hematology, Puerta de Hierro General University Hospital, Madrid; 5Department of Hematology, La Princesa University Hospital, Madrid; 6Department of Histocompatibility, Madrid Blood Centre, Madrid; 7Department of Hematology and Medical Oncology Unit, IMIB-Arrixaca, Morales Meseguer General University Hospital, Murcia; 8Centro Inmunológico de Alicante - CIALAB, Alicante; 9Department of Hematology, Gregorio Marañón General University Hospital, Madrid; 10 Department of Medicine, School of Medicine, Com - plutense University of Madrid, Madrid and 11 Department of Cell Biology, School of Medicine, Complutense University of Madrid, Madrid, Spain *CM-L and IB contributed equally as co-senior authors. Correspondence: -
A Genomic View of Estrogen Actions in Human Breast Cancer Cells by Expression Profiling of the Hormone-Responsive Transcriptome
719 A genomic view of estrogen actions in human breast cancer cells by expression profiling of the hormone-responsive transcriptome Luigi Cicatiello1, Claudio Scafoglio1, Lucia Altucci1, Massimo Cancemi1, Guido Natoli1, Angelo Facchiano2, Giovanni Iazzetti3, Raffaele Calogero4, Nicoletta Biglia6, Michele De Bortoli5,7, Christian Sfiligoi7, Piero Sismondi6,7, Francesco Bresciani1 and Alessandro Weisz1 1Dipartimento di Patologia generale, Seconda Università degli Studi di Napoli, Vico L. De Crecchio 7, 80138 Napoli, Italy 2Istituto di Scienze dell’Alimentazione del Consiglio Nazionale delle Ricerche, Avellino, Italy 3Dipartimento di Genetica, Biologia generale e molecolare, Università di Napoli ‘Federico II’, Napoli, Italy 4Dipartimento di Scienze cliniche e biologiche, Università degli Studi di Torino, Torino, Italy 5Dipartimento di Scienze oncologiche, Università degli Studi di Torino, Torino, Italy 6Dipartimento di Discipline ostetriche e ginecologiche, Università degli Studi di Torino, Torino, Italy 7Laboratorio di Ginecologia oncologica, Istituto per la Ricerca e la Cura del Cancro, Candiolo, Italy (Requests for offprints should be addressed to A Weisz; Email: [email protected]) Abstract Estrogen controls key cellular functions of responsive cells including the ability to survive, replicate, communicate and adapt to the extracellular milieu. Changes in the expression of 8400 genes were monitored here by cDNA microarray analysis during the first 32 h of human breast cancer (BC) ZR-75·1 cell stimulation with a mitogenic dose of 17-estradiol, a timing which corresponds to completion of a full mitotic cycle in hormone-stimulated cells. Hierarchical clustering of 344 genes whose expression either increases or decreases significantly in response to estrogen reveals that the gene expression program activated by the hormone in these cells shows 8 main patterns of gene activation/inhibition.