The Long Non-Coding RNA Cerox1 Is a Post Transcriptional Regulator Of
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Increased COUP-TFII Expression in Adult Hearts Induces Mitochondrial Dysfunction Resulting in Heart Failure
ARTICLE Received 9 Mar 2015 | Accepted 30 Jul 2015 | Published 10 Sep 2015 DOI: 10.1038/ncomms9245 OPEN Increased COUP-TFII expression in adult hearts induces mitochondrial dysfunction resulting in heart failure San-Pin Wu1,2, Chung-Yang Kao1, Leiming Wang1, Chad J. Creighton3,4, Jin Yang5, Taraka R. Donti6, Romain Harmancey7, Hernan G. Vasquez7, Brett H. Graham6,8, Hugo J. Bellen6,8, Heinrich Taegtmeyer7, Ching-Pin Chang5, Ming-Jer Tsai1,8 & Sophia Y. Tsai1,8 Mitochondrial dysfunction and metabolic remodelling are pivotal in the development of cardiomyopathy. Here, we show that myocardial COUP-TFII overexpression causes heart failure in mice, suggesting a causal effect of elevated COUP-TFII levels on development of dilated cardiomyopathy. COUP-TFII represses genes critical for mitochondrial electron transport chain enzyme activity, oxidative stress detoxification and mitochondrial dynamics, resulting in increased levels of reactive oxygen species and lower rates of oxygen consumption in mitochondria. COUP-TFII also suppresses the metabolic regulator PGC-1 network and decreases the expression of key glucose and lipid utilization genes, leading to a reduction in both glucose and oleate oxidation in the hearts. These data suggest that COUP- TFII affects mitochondrial function, impairs metabolic remodelling and has a key role in dilated cardiomyopathy. Last, COUP-TFII haploinsufficiency attenuates the progression of cardiac dilation and improves survival in a calcineurin transgenic mouse model, indicating that COUP-TFII may serve as a therapeutic target for the treatment of dilated cardiomyopathy. 1 Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA. 2 Adrienne Helis Malvin Medical Research Foundation, New Orleans, Louisiana 70130, USA. -
Molecular Mechanism of ACAD9 in Mitochondrial Respiratory Complex 1 Assembly
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.07.425795; this version posted January 9, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Molecular mechanism of ACAD9 in mitochondrial respiratory complex 1 assembly Chuanwu Xia1, Baoying Lou1, Zhuji Fu1, Al-Walid Mohsen2, Jerry Vockley2, and Jung-Ja P. Kim1 1Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, 53226, USA 2Department of Pediatrics, University of Pittsburgh School of Medicine, University of Pittsburgh, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, PA 15224, USA Abstract ACAD9 belongs to the acyl-CoA dehydrogenase family, which catalyzes the α-β dehydrogenation of fatty acyl-CoA thioesters. Thus, it is involved in fatty acid β-oxidation (FAO). However, it is now known that the primary function of ACAD9 is as an essential chaperone for mitochondrial respiratory complex 1 assembly. ACAD9 interacts with ECSIT and NDUFAF1, forming the mitochondrial complex 1 assembly (MCIA) complex. Although the role of MCIA in the complex 1 assembly pathway is well studied, little is known about the molecular mechanism of the interactions among these three assembly factors. Our current studies reveal that when ECSIT interacts with ACAD9, the flavoenzyme loses the FAD cofactor and consequently loses its FAO activity, demonstrating that the two roles of ACAD9 are not compatible. ACAD9 binds to the carboxy-terminal half (C-ECSIT), and NDUFAF1 binds to the amino-terminal half of ECSIT. Although the binary complex of ACAD9 with ECSIT or with C-ECSIT is unstable and aggregates easily, the ternary complex of ACAD9-ECSIT-NDUFAF1 (i.e., the MCIA complex) is soluble and extremely stable. -
High-Throughput, Pooled Sequencing Identifies Mutations in NUBPL And
ARTICLES High-throughput, pooled sequencing identifies mutations in NUBPL and FOXRED1 in human complex I deficiency Sarah E Calvo1–3,10, Elena J Tucker4,5,10, Alison G Compton4,10, Denise M Kirby4, Gabriel Crawford3, Noel P Burtt3, Manuel Rivas1,3, Candace Guiducci3, Damien L Bruno4, Olga A Goldberger1,2, Michelle C Redman3, Esko Wiltshire6,7, Callum J Wilson8, David Altshuler1,3,9, Stacey B Gabriel3, Mark J Daly1,3, David R Thorburn4,5 & Vamsi K Mootha1–3 Discovering the molecular basis of mitochondrial respiratory chain disease is challenging given the large number of both mitochondrial and nuclear genes that are involved. We report a strategy of focused candidate gene prediction, high-throughput sequencing and experimental validation to uncover the molecular basis of mitochondrial complex I disorders. We created seven pools of DNA from a cohort of 103 cases and 42 healthy controls and then performed deep sequencing of 103 candidate genes to identify 151 rare variants that were predicted to affect protein function. We established genetic diagnoses in 13 of 60 previously unsolved cases using confirmatory experiments, including cDNA complementation to show that mutations in NUBPL and FOXRED1 can cause complex I deficiency. Our study illustrates how large-scale sequencing, coupled with functional prediction and experimental validation, can be used to identify causal mutations in individual cases. Complex I of the mitochondrial respiratory chain is a large ~1-MDa assembly factors are probably required, as suggested by the 20 factors macromolecular machine composed of 45 protein subunits encoded necessary for assembly of the smaller complex IV9 and by cohort by both the nuclear and mitochondrial (mtDNA) genomes. -
Assembly Factors for the Membrane Arm of Human Complex I
Assembly factors for the membrane arm of human complex I Byron Andrews, Joe Carroll, Shujing Ding, Ian M. Fearnley, and John E. Walker1 Medical Research Council Mitochondrial Biology Unit, Cambridge CB2 0XY, United Kingdom Contributed by John E. Walker, October 14, 2013 (sent for review September 12, 2013) Mitochondrial respiratory complex I is a product of both the nuclear subunits in a fungal enzyme from Yarrowia lipolytica seem to be and mitochondrial genomes. The integration of seven subunits distributed similarly (12, 13). encoded in mitochondrial DNA into the inner membrane, their asso- The assembly of mitochondrial complex I involves building the ciation with 14 nuclear-encoded membrane subunits, the construc- 44 subunits emanating from two genomes into the two domains of tion of the extrinsic arm from 23 additional nuclear-encoded the complex. The enzyme is put together from preassembled sub- proteins, iron–sulfur clusters, and flavin mononucleotide cofactor complexes, and their subunit compositions have been characterized require the participation of assembly factors. Some are intrinsic to partially (14, 15). Extrinsic assembly factors of unknown function the complex, whereas others participate transiently. The suppres- become associated with subcomplexes that accumulate when as- sion of the expression of the NDUFA11 subunit of complex I dis- sembly and the activity of complex I are impaired by pathogenic rupted the assembly of the complex, and subcomplexes with mutations. Some assembly factor mutations also impair its activ- masses of 550 and 815 kDa accumulated. Eight of the known ex- ity (16). Other pathogenic mutations are found in all of the core trinsic assembly factors plus a hydrophobic protein, C3orf1, were subunits, and in 10 supernumerary subunits (NDUFA1, NDUFA2, associated with the subcomplexes. -
The for Report 07-08
THE CENTER FOR INTEGRATIVE GENOMICS REPORT 07-08 www.unil.ch/cig Table of Contents INTRODUCTION 2 The CIG at a glance 2 The CIG Scientific Advisory Committee 3 Message from the Director 4 RESEARCH 6 Richard Benton Chemosensory perception in Drosophila: from genes to behaviour 8 Béatrice Desvergne Networking activity of PPARs during development and in adult metabolic homeostasis 10 Christian Fankhauser The effects of light on plant growth and development 12 Paul Franken Genetics and energetics of sleep homeostasis and circadian rhythms 14 Nouria Hernandez Mechanisms of basal and regulated RNA polymerase II and III transcription of ncRNA in mammalian cells 16 Winship Herr Regulation of cell proliferation 18 Henrik Kaessmann Mammalian evolutionary genomics 20 Sophie Martin Molecular mechanisms of cell polarization 22 Liliane Michalik Transcriptional control of tissue repair and angiogenesis 24 Alexandre Reymond Genome structure and expression 26 Andrzej Stasiak Functional transitions of DNA structure 28 Mehdi Tafti Genetics of sleep and the sleep EEG 30 Bernard Thorens Molecular and physiological analysis of energy homeostasis in health and disease 32 Walter Wahli The multifaceted roles of PPARs 34 Other groups at the Génopode 37 CORE FACILITIES 40 Lausanne DNA Array Facility (DAFL) 42 Protein Analysis Facility (PAF) 44 Core facilities associated with the CIG 46 EDUCATION 48 Courses and lectures given by CIG members 50 Doing a PhD at the CIG 52 Seminars and symposia 54 The CIG annual retreat 62 The CIG and the public 63 Artist in residence at the CIG 63 PEOPLE 64 1 Introduction The Center for IntegratiVE Genomics (CIG) at A glance The Center for Integrative Genomics (CIG) is the newest depart- ment of the Faculty of Biology and Medicine of the University of Lausanne (UNIL). -
Proteomic and Metabolomic Analyses of Mitochondrial Complex I-Deficient
THE JOURNAL OF BIOLOGICAL CHEMISTRY VOL. 287, NO. 24, pp. 20652–20663, June 8, 2012 © 2012 by The American Society for Biochemistry and Molecular Biology, Inc. Published in the U.S.A. Proteomic and Metabolomic Analyses of Mitochondrial Complex I-deficient Mouse Model Generated by Spontaneous B2 Short Interspersed Nuclear Element (SINE) Insertion into NADH Dehydrogenase (Ubiquinone) Fe-S Protein 4 (Ndufs4) Gene*□S Received for publication, November 25, 2011, and in revised form, April 5, 2012 Published, JBC Papers in Press, April 25, 2012, DOI 10.1074/jbc.M111.327601 Dillon W. Leong,a1 Jasper C. Komen,b1 Chelsee A. Hewitt,a Estelle Arnaud,c Matthew McKenzie,d Belinda Phipson,e Melanie Bahlo,e,f Adrienne Laskowski,b Sarah A. Kinkel,a,g,h Gayle M. Davey,g William R. Heath,g Anne K. Voss,a,h René P. Zahedi,i James J. Pitt,j Roman Chrast,c Albert Sickmann,i,k Michael T. Ryan,l Gordon K. Smyth,e,f,h b2 a,h,m,n3 David R. Thorburn, and Hamish S. Scott Downloaded from From the aMolecular Medicine Division, gImmunology Division, and eBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia, the bMurdoch Childrens Research Institute, Royal Children’s Hospital and Department of Paediatrics, University of Melbourne, Parkville, Victoria 3052, Australia, the cDépartement de Génétique Médicale, Université de Lausanne, 1005 Lausanne, Switzerland, the dCentre for Reproduction and Development, Monash Institute of Medical Research, Clayton, Victoria 3168, Australia, the hDepartment of Medical Biology -
551978V2.Full.Pdf
bioRxiv preprint doi: https://doi.org/10.1101/551978; this version posted February 26, 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-NC-ND 4.0 International license. 1 A high-resolution, chromosome-assigned Komodo dragon genome reveals adaptations in the 2 cardiovascular, muscular, and chemosensory systems of monitor lizards 3 4 Abigail L. Lind1, Yvonne Y.Y. Lai2, Yulia Mostovoy2, Alisha K. Holloway1, Alessio Iannucci3, Angel 5 C.Y. Mak2, Marco Fondi3, Valerio Orlandini3, Walter L. Eckalbar4, Massimo Milan5, Michail 6 Rovatsos6,7, , Ilya G. Kichigin8, Alex I. Makunin8, Martina J. Pokorná6, Marie Altmanová6, Vladimir 7 A. Trifonov8, Elio Schijlen9, Lukáš Kratochvíl6, Renato Fani3, Tim S. Jessop10, Tomaso Patarnello5, 8 James W. Hicks11, Oliver A. Ryder12, Joseph R. Mendelson III13,14, Claudio Ciofi3, Pui-Yan 9 Kwok2,4,15, Katherine S. Pollard1,4,16,17,18, & Benoit G. Bruneau1,2,19 10 11 1. Gladstone Institutes, San Francisco, CA 94158, USA. 12 2. Cardiovascular Research Institute, University of California, San Francisco, CA 94143, USA. 13 3. Department of Biology, University of Florence, 50019 Sesto Fiorentino (FI), Italy 14 4. Institute for Human Genetics, University of California, San Francisco, CA 94143, USA. 15 5. Department of Comparative Biomedicine and Food Science, University of Padova, 35020 16 Legnaro (PD), Italy 17 6. Department of Ecology, Charles University, 128 00 Prague, Czech Republic 18 7. Institute of Animal Physiology and Genetics, The Czech Academy of Sciences, 277 21 19 Liběchov, Czech Republic 20 8. -
Low Abundance of the Matrix Arm of Complex I in Mitochondria Predicts Longevity in Mice
ARTICLE Received 24 Jan 2014 | Accepted 9 Apr 2014 | Published 12 May 2014 DOI: 10.1038/ncomms4837 OPEN Low abundance of the matrix arm of complex I in mitochondria predicts longevity in mice Satomi Miwa1, Howsun Jow2, Karen Baty3, Amy Johnson1, Rafal Czapiewski1, Gabriele Saretzki1, Achim Treumann3 & Thomas von Zglinicki1 Mitochondrial function is an important determinant of the ageing process; however, the mitochondrial properties that enable longevity are not well understood. Here we show that optimal assembly of mitochondrial complex I predicts longevity in mice. Using an unbiased high-coverage high-confidence approach, we demonstrate that electron transport chain proteins, especially the matrix arm subunits of complex I, are decreased in young long-living mice, which is associated with improved complex I assembly, higher complex I-linked state 3 oxygen consumption rates and decreased superoxide production, whereas the opposite is seen in old mice. Disruption of complex I assembly reduces oxidative metabolism with concomitant increase in mitochondrial superoxide production. This is rescued by knockdown of the mitochondrial chaperone, prohibitin. Disrupted complex I assembly causes premature senescence in primary cells. We propose that lower abundance of free catalytic complex I components supports complex I assembly, efficacy of substrate utilization and minimal ROS production, enabling enhanced longevity. 1 Institute for Ageing and Health, Newcastle University, Newcastle upon Tyne NE4 5PL, UK. 2 Centre for Integrated Systems Biology of Ageing and Nutrition, Newcastle University, Newcastle upon Tyne NE4 5PL, UK. 3 Newcastle University Protein and Proteome Analysis, Devonshire Building, Devonshire Terrace, Newcastle upon Tyne NE1 7RU, UK. Correspondence and requests for materials should be addressed to T.v.Z. -
Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr. -
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 -
Massive Turnover of Functional Sequence in Human and Other Mammalian Genomes
Downloaded from genome.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press Research Massive turnover of functional sequence in human and other mammalian genomes Stephen Meader,1 Chris P. Ponting,1,3 and Gerton Lunter1,2,3 1MRC Functional Genomics Unit, Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3QX, United Kingdom; 2The Wellcome Trust Centre for Human Genetics, Oxford OX3 7BN, United Kingdom Despite the availability of dozens of animal genome sequences, two key questions remain unanswered: First, what fraction of any species’ genome confers biological function, and second, are apparent differences in organismal complexity reflected in an objective measure of genomic complexity? Here, we address both questions by applying, across the mammalian phylogeny, an evolutionary model that estimates the amount of functional DNA that is shared between two species’ genomes. Our main findings are, first, that as the divergence between mammalian species increases, the predicted amount of pairwise shared functional sequence drops off dramatically. We show by simulations that this is not an artifact of the method, but rather indicates that functional (and mostly noncoding) sequence is turning over at a very high rate. We estimate that between 200 and 300 Mb (;6.5%–10%) of the human genome is under functional constraint, which includes five to eight times as many constrained noncoding bases than bases that code for protein. In contrast, in D. melanogaster we estimate only 56–66 Mb to be constrained, implying a ratio of noncoding to coding constrained bases of about 2. This suggests that, rather than genome size or protein-coding gene complement, it is the number of functional bases that might best mirror our naı¨ve preconceptions of organismal complexity. -
X CRG Annual Symposium
X CRG SYMPOSIUM 10-11 November 2011 COMPUTATIONAL BIOLOGY OF MOLECULAR SEQUENCES Organizers: R.Guigó, C.Notredame, T.Gabaldón, F.Kondrashov, G.G.Tartaglia Thursday 10 November 08:00 – 09:00 Registration 09:00 – 09:05 Welcome by Luis Serrano 09:05 – 09:15 Introduction by Roderic Guigó Session 1: Protein Analysis Chair: Gian Gaetano Tartaglia 09:15 – 10:00 Temple F. SMITH Department of Biomedical Engineering, Boston University, Boston US “A Unique Mammalian Apoptosis Regulatory Gene, Lfg5, and a Homo sapiens Neanderthal Mystery” 10:00 – 10:45 Michele VENDRUSCOLO Department of Chemistry, University of Cambridge, Cambridge UK “Life on the edge: Proteins are close to their solubility limits” 10:45 – 11:30 Amos BAIROCH Swiss Institute of Bioinformatics, and Department of Structural Biology and Bioinformatics, Faculty of Medicine, University of Geneva, Geneva CH “Organising human protein-centric knowledge: the challenge of neXtProt” 11:30 – 12:00 Coffee break Session 2: Genome Evolution Chair: Fyodor Kondrashov 12:00 – 12:45 Eugene V. KOONIN National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda (MD) USA “Are there laws in evolutionary genomics?” 12:45 – 13:30 Nick GOLDMAN EMBL - European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton UK “Adventures in Evolutionary Alignment” 13:30 – 15:00 Lunch 15:00 – 15:45 Mathieu BLANCHETTE School of Computer Science, McGill University, Montreal CA “Ancestral Mammalian Genome Reconstruction and its Uses toward Annotating the Human