NDUFS6 Mutations Are a Novel Cause of Lethal Neonatal Mitochondrial Complex I Deficiency Denise M
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NDUFS6 Mutations Are a Novel Cause of Lethal Neonatal Mitochondrial Complex I Deficiency Denise M
Related Commentary, page 760 Research article NDUFS6 mutations are a novel cause of lethal neonatal mitochondrial complex I deficiency Denise M. Kirby,1,2,3 Renato Salemi,1 Canny Sugiana,1,3 Akira Ohtake,4 Lee Parry,1 Katrina M. Bell,1 Edwin P. Kirk,5 Avihu Boneh,1,2,3 Robert W. Taylor,6 Hans-Henrik M. Dahl,1,3 Michael T. Ryan,4 and David R. Thorburn1,2,3 1Murdoch Childrens Research Institute and 2Genetic Health Services Victoria, Royal Children’s Hospital, Melbourne, Victoria, Australia. 3Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia. 4Department of Biochemistry, LaTrobe University, Melbourne, Victoria, Australia. 5Department of Medical Genetics, Sydney Children’s Hospital, Sydney, New South Wales, Australia. 6Mitochondrial Research Group, School of Neurology, Neurobiology and Psychiatry, University of Newcastle upon Tyne, Newcastle upon Tyne, United Kingdom. Complex I deficiency, the most common respiratory chain defect, is genetically heterogeneous: mutations in 8 nuclear and 7 mitochondrial DNA genes encoding complex I subunits have been described. However, these genes account for disease in only a minority of complex I–deficient patients. We investigated whether there may be an unknown common gene by performing functional complementation analysis of cell lines from 10 unrelated patients. Two of the patients were found to have mitochondrial DNA mutations. The other 8 repre- sented 7 different (nuclear) complementation groups, all but 1 of which showed abnormalities of complex I assembly. It is thus unlikely that any one unknown gene accounts for a large proportion of complex I cases. The 2 patients sharing a nuclear complementation group had a similar abnormal complex I assembly profile and were studied further by homozygosity mapping, chromosome transfers, and microarray expression analysis. -
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 -
Integrated Analysis of the Critical Region 5P15.3–P15.2 Associated with Cri-Du-Chat Syndrome
Genetics and Molecular Biology, 42, 1(suppl), 186-196 (2019) Copyright © 2019, Sociedade Brasileira de Genética. Printed in Brazil DOI: http://dx.doi.org/10.1590/1678-4685-GMB-2018-0173 Research Article Integrated analysis of the critical region 5p15.3–p15.2 associated with cri-du-chat syndrome Thiago Corrêa1, Bruno César Feltes2 and Mariluce Riegel1,3* 1Post-Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil. 2Institute of Informatics, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil. 3Medical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil. Abstract Cri-du-chat syndrome (CdCs) is one of the most common contiguous gene syndromes, with an incidence of 1:15,000 to 1:50,000 live births. To better understand the etiology of CdCs at the molecular level, we investigated theprotein–protein interaction (PPI) network within the critical chromosomal region 5p15.3–p15.2 associated with CdCs using systemsbiology. Data were extracted from cytogenomic findings from patients with CdCs. Based on clin- ical findings, molecular characterization of chromosomal rearrangements, and systems biology data, we explored possible genotype–phenotype correlations involving biological processes connected with CdCs candidate genes. We identified biological processes involving genes previously found to be associated with CdCs, such as TERT, SLC6A3, and CTDNND2, as well as novel candidate proteins with potential contributions to CdCs phenotypes, in- cluding CCT5, TPPP, MED10, ADCY2, MTRR, CEP72, NDUFS6, and MRPL36. Although further functional analy- ses of these proteins are required, we identified candidate proteins for the development of new multi-target genetic editing tools to study CdCs. -
In This Table Protein Name, Uniprot Code, Gene Name P-Value
Supplementary Table S1: In this table protein name, uniprot code, gene name p-value and Fold change (FC) for each comparison are shown, for 299 of the 301 significantly regulated proteins found in both comparisons (p-value<0.01, fold change (FC) >+/-0.37) ALS versus control and FTLD-U versus control. Two uncharacterized proteins have been excluded from this list Protein name Uniprot Gene name p value FC FTLD-U p value FC ALS FTLD-U ALS Cytochrome b-c1 complex P14927 UQCRB 1.534E-03 -1.591E+00 6.005E-04 -1.639E+00 subunit 7 NADH dehydrogenase O95182 NDUFA7 4.127E-04 -9.471E-01 3.467E-05 -1.643E+00 [ubiquinone] 1 alpha subcomplex subunit 7 NADH dehydrogenase O43678 NDUFA2 3.230E-04 -9.145E-01 2.113E-04 -1.450E+00 [ubiquinone] 1 alpha subcomplex subunit 2 NADH dehydrogenase O43920 NDUFS5 1.769E-04 -8.829E-01 3.235E-05 -1.007E+00 [ubiquinone] iron-sulfur protein 5 ARF GTPase-activating A0A0C4DGN6 GIT1 1.306E-03 -8.810E-01 1.115E-03 -7.228E-01 protein GIT1 Methylglutaconyl-CoA Q13825 AUH 6.097E-04 -7.666E-01 5.619E-06 -1.178E+00 hydratase, mitochondrial ADP/ATP translocase 1 P12235 SLC25A4 6.068E-03 -6.095E-01 3.595E-04 -1.011E+00 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 Protein kinase C and casein Q9BY11 PACSIN1 3.837E-03 -5.863E-01 3.680E-06 -1.824E+00 kinase substrate in neurons protein 1 Tubulin polymerization- O94811 TPPP 6.466E-03 -5.755E-01 6.943E-06 -1.169E+00 promoting protein MIC C9JRZ6 CHCHD3 2.912E-02 -6.187E-01 2.195E-03 -9.781E-01 Mitochondrial 2- -
Bayesian Hidden Markov Tree Models for Clustering Genes with Shared Evolutionary History
Submitted to the Annals of Applied Statistics arXiv: arXiv:0000.0000 BAYESIAN HIDDEN MARKOV TREE MODELS FOR CLUSTERING GENES WITH SHARED EVOLUTIONARY HISTORY By Yang Liy,{,∗, Shaoyang Ningy,∗, Sarah E. Calvoz,x,{, Vamsi K. Moothak,z,x,{ and Jun S. Liuy Harvard Universityy, Broad Institutez, Harvard Medical Schoolx, Massachusetts General Hospital{, and Howard Hughes Medical Institutek Determination of functions for poorly characterized genes is cru- cial for understanding biological processes and studying human dis- eases. Functionally associated genes are often gained and lost together through evolution. Therefore identifying co-evolution of genes can predict functional gene-gene associations. We describe here the full statistical model and computational strategies underlying the orig- inal algorithm CLustering by Inferred Models of Evolution (CLIME 1.0) recently reported by us [Li et al., 2014]. CLIME 1.0 employs a mixture of tree-structured hidden Markov models for gene evolution process, and a Bayesian model-based clustering algorithm to detect gene modules with shared evolutionary histories (termed evolutionary conserved modules, or ECMs). A Dirichlet process prior was adopted for estimating the number of gene clusters and a Gibbs sampler was developed for posterior sampling. We further developed an extended version, CLIME 1.1, to incorporate the uncertainty on the evolution- ary tree structure. By simulation studies and benchmarks on real data sets, we show that CLIME 1.0 and CLIME 1.1 outperform traditional methods that use simple metrics (e.g., the Hamming distance or Pear- son correlation) to measure co-evolution between pairs of genes. 1. Introduction. The human genome encodes more than 20,000 protein- coding genes, of which a large fraction do not have annotated function to date [Galperin and Koonin, 2010]. -
Transcriptomic and Proteomic Landscape of Mitochondrial
TOOLS AND RESOURCES Transcriptomic and proteomic landscape of mitochondrial dysfunction reveals secondary coenzyme Q deficiency in mammals Inge Ku¨ hl1,2†*, Maria Miranda1†, Ilian Atanassov3, Irina Kuznetsova4,5, Yvonne Hinze3, Arnaud Mourier6, Aleksandra Filipovska4,5, Nils-Go¨ ran Larsson1,7* 1Department of Mitochondrial Biology, Max Planck Institute for Biology of Ageing, Cologne, Germany; 2Department of Cell Biology, Institute of Integrative Biology of the Cell (I2BC) UMR9198, CEA, CNRS, Univ. Paris-Sud, Universite´ Paris-Saclay, Gif- sur-Yvette, France; 3Proteomics Core Facility, Max Planck Institute for Biology of Ageing, Cologne, Germany; 4Harry Perkins Institute of Medical Research, The University of Western Australia, Nedlands, Australia; 5School of Molecular Sciences, The University of Western Australia, Crawley, Australia; 6The Centre National de la Recherche Scientifique, Institut de Biochimie et Ge´ne´tique Cellulaires, Universite´ de Bordeaux, Bordeaux, France; 7Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden Abstract Dysfunction of the oxidative phosphorylation (OXPHOS) system is a major cause of human disease and the cellular consequences are highly complex. Here, we present comparative *For correspondence: analyses of mitochondrial proteomes, cellular transcriptomes and targeted metabolomics of five [email protected] knockout mouse strains deficient in essential factors required for mitochondrial DNA gene (IKu¨ ); expression, leading to OXPHOS dysfunction. Moreover, -
Phenotype Informatics
Freie Universit¨atBerlin Department of Mathematics and Computer Science Phenotype informatics: Network approaches towards understanding the diseasome Sebastian Kohler¨ Submitted on: 12th September 2012 Dissertation zur Erlangung des Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) am Fachbereich Mathematik und Informatik der Freien Universitat¨ Berlin ii 1. Gutachter Prof. Dr. Martin Vingron 2. Gutachter: Prof. Dr. Peter N. Robinson 3. Gutachter: Christopher J. Mungall, Ph.D. Tag der Disputation: 16.05.2013 Preface This thesis presents research work on novel computational approaches to investigate and characterise the association between genes and pheno- typic abnormalities. It demonstrates methods for organisation, integra- tion, and mining of phenotype data in the field of genetics, with special application to human genetics. Here I will describe the parts of this the- sis that have been published in peer-reviewed journals. Often in modern science different people from different institutions contribute to research projects. The same is true for this thesis, and thus I will itemise who was responsible for specific sub-projects. In chapter 2, a new method for associating genes to phenotypes by means of protein-protein-interaction networks is described. I present a strategy to organise disease data and show how this can be used to link diseases to the corresponding genes. I show that global network distance measure in interaction networks of proteins is well suited for investigat- ing genotype-phenotype associations. This work has been published in 2008 in the American Journal of Human Genetics. My contribution here was to plan the project, implement the software, and finally test and evaluate the method on human genetics data; the implementation part was done in close collaboration with Sebastian Bauer. -
Reveals of Candidate Active Ingredients in Justicia and Its Anti-Thrombotic Action of Mechanism Based on Network Pharmacology Ap
www.nature.com/scientificreports OPEN Reveals of candidate active ingredients in Justicia and its anti‑thrombotic action of mechanism based on network pharmacology approach and experimental validation Zongchao Hong1,5, Ting Zhang2,5, Ying Zhang1, Zhoutao Xie1, Yi Lu1, Yunfeng Yao1, Yanfang Yang1,3,4*, Hezhen Wu1,3,4* & Bo Liu1,3* Thrombotic diseases seriously threaten human life. Justicia, as a common Chinese medicine, is usually used for anti‑infammatory treatment, and further studies have found that it has an inhibitory efect on platelet aggregation. Therefore, it can be inferred that Justicia can be used as a therapeutic drug for thrombosis. This work aims to reveal the pharmacological mechanism of the anti‑thrombotic efect of Justicia through network pharmacology combined with wet experimental verifcation. During the analysis, 461 compound targets were predicted from various databases and 881 thrombus‑related targets were collected. Then, herb‑compound‑target network and protein–protein interaction network of disease and prediction targets were constructed and cluster analysis was applied to further explore the connection between the targets. In addition, Gene Ontology (GO) and pathway (KEGG) enrichment were used to further determine the association between target proteins and diseases. Finally, the expression of hub target proteins of the core component and the anti‑thrombotic efect of Justicia’s core compounds were verifed by experiments. In conclusion, the core bioactive components, especially justicidin D, can reduce thrombosis by regulating F2, MMP9, CXCL12, MET, RAC1, PDE5A, and ABCB1. The combination of network pharmacology and the experimental research strategies proposed in this paper provides a comprehensive method for systematically exploring the therapeutic mechanism of multi‑component medicine. -
NDUFS6 Mutations Are a Novel Cause of Lethal Neonatal Mitochondrial Complex I Deficiency
NDUFS6 mutations are a novel cause of lethal neonatal mitochondrial complex I deficiency Denise M. Kirby, … , Michael T. Ryan, David R. Thorburn J Clin Invest. 2004;114(6):837-845. https://doi.org/10.1172/JCI20683. Article Genetics Complex I deficiency, the most common respiratory chain defect, is genetically heterogeneous: mutations in 8 nuclear and 7 mitochondrial DNA genes encoding complex I subunits have been described. However, these genes account for disease in only a minority of complex I–deficient patients. We investigated whether there may be an unknown common gene by performing functional complementation analysis of cell lines from 10 unrelated patients. Two of the patients were found to have mitochondrial DNA mutations. The other 8 represented 7 different (nuclear) complementation groups, all but 1 of which showed abnormalities of complex I assembly. It is thus unlikely that any one unknown gene accounts for a large proportion of complex I cases. The 2 patients sharing a nuclear complementation group had a similar abnormal complex I assembly profile and were studied further by homozygosity mapping, chromosome transfers, and microarray expression analysis. NDUFS6, a complex I subunit gene not previously associated with complex I deficiency, was grossly underexpressed in the 2 patient cell lines. Both patients had homozygous mutations in this gene, one causing a splicing abnormality and the other a large deletion. This integrated approach to gene identification offers promise for identifying other unknown causes of respiratory chain disorders. Find the latest version: https://jci.me/20683/pdf Related Commentary, page 760 Research article NDUFS6 mutations are a novel cause of lethal neonatal mitochondrial complex I deficiency Denise M. -
Analysis of Human Mutations in the Supernumerary Subunits of Complex I
life Review Analysis of Human Mutations in the Supernumerary Subunits of Complex I Quynh-Chi L. Dang, Duong H. Phan, Abigail N. Johnson, Mukund Pasapuleti, Hind A. Alkhaldi, Fang Zhang and Steven B. Vik * Department of Biological Sciences, Southern Methodist University, Dallas, TX 75287, USA; [email protected] (Q.-C.L.D.); [email protected] (D.H.P.); [email protected] (A.N.J.); [email protected] (M.P.); [email protected] (H.A.A.); [email protected] (F.Z.) * Correspondence: [email protected] Received: 30 October 2020; Accepted: 16 November 2020; Published: 20 November 2020 Abstract: Complex I is the largest member of the electron transport chain in human mitochondria. It comprises 45 subunits and requires at least 15 assembly factors. The subunits can be divided into 14 “core” subunits that carry out oxidation–reduction reactions and proton translocation, as well as 31 additional supernumerary (or accessory) subunits whose functions are less well known. Diminished levels of complex I activity are seen in many mitochondrial disease states. This review seeks to tabulate mutations in the supernumerary subunits of humans that appear to cause disease. Mutations in 20 of the supernumerary subunits have been identified. The mutations were analyzed in light of the tertiary and quaternary structure of human complex I (PDB id = 5xtd). Mutations were found that might disrupt the folding of that subunit or that would weaken binding to another subunit. In some cases, it appeared that no protein was made or, at least, could not be detected. A very common outcome is the lack of assembly of complex I when supernumerary subunits are mutated or missing. -
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. -
Leigh Syndrome Associated with Mitochondrial Complex I Deficiency Due to a Novel Mutation in the NDUFS1 Gene
OBSERVATION Leigh Syndrome Associated With Mitochondrial Complex I Deficiency Due to a Novel Mutation in the NDUFS1 Gene Miguel A. Martín, PhD; Alberto Blázquez, BSc; Luis G. Gutierrez-Solana, MD; Daniel Fernández-Moreira, PharmB; Paz Briones, PhD; Antoni L. Andreu, MD, PhD; Rafael Garesse, PhD; Yolanda Campos, PhD; Joaquín Arenas, PhD Background: Mutations in the nuclear-encoded sub- Results: Muscle biochemistry results showed a com- units of complex I of the mitochondrial respiratory chain plex I defect of the mitochondrial respiratory chain. Se- are a recognized cause of Leigh syndrome (LS). Re- quencing analysis of the mitochondrial DNA–encoded cently, 6 mutations in the NDUFS1 gene were identified ND genes, the nuclear DNA–encoded NDUFV1, NDUFS1, in 3 families. NDUFS2, NDUFS4, NDUFS6, NDUFS7, NDUFS8, and NDUFAB1 genes, and the complex I assembly factor CIA30 Objective: To describe a Spanish family with LS, com- gene revealed a novel homozygous L231V mutation plex I deficiency in muscle, and a novel mutation in the (c.691C→G) in the NDUFS1 gene. The parents were het- NDUFS1 gene. erozygous carriers of the L231V mutation. Design: Using molecular genetic approaches, we iden- Conclusions: Identifying nuclear mutations as a cause tified the underlying molecular defect in a patient with of respiratory chain disorders will enhance the possibil- LS with a complex I defect. ity of prenatal diagnosis and help us understand how mo- lecular defects can lead to complex I deficiency. Patient: The proband was a child who displayed the clini- cal