Two Transgenic Mouse Models for Β-Subunit Components of Succinate-Coa Ligase Yielding Pleiotropic Metabolic Alterations
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Remodeling Adipose Tissue Through in Silico Modulation of Fat Storage For
Chénard et al. BMC Systems Biology (2017) 11:60 DOI 10.1186/s12918-017-0438-9 RESEARCHARTICLE Open Access Remodeling adipose tissue through in silico modulation of fat storage for the prevention of type 2 diabetes Thierry Chénard2, Frédéric Guénard3, Marie-Claude Vohl3,4, André Carpentier5, André Tchernof4,6 and Rafael J. Najmanovich1* Abstract Background: Type 2 diabetes is one of the leading non-infectious diseases worldwide and closely relates to excess adipose tissue accumulation as seen in obesity. Specifically, hypertrophic expansion of adipose tissues is related to increased cardiometabolic risk leading to type 2 diabetes. Studying mechanisms underlying adipocyte hypertrophy could lead to the identification of potential targets for the treatment of these conditions. Results: We present iTC1390adip, a highly curated metabolic network of the human adipocyte presenting various improvements over the previously published iAdipocytes1809. iTC1390adip contains 1390 genes, 4519 reactions and 3664 metabolites. We validated the network obtaining 92.6% accuracy by comparing experimental gene essentiality in various cell lines to our predictions of biomass production. Using flux balance analysis under various test conditions, we predict the effect of gene deletion on both lipid droplet and biomass production, resulting in the identification of 27 genes that could reduce adipocyte hypertrophy. We also used expression data from visceral and subcutaneous adipose tissues to compare the effect of single gene deletions between adipocytes from each -
Two Transgenic Mouse Models for Β-Subunit Components of Succinate-Coa Ligase Yielding Pleiotropic Metabolic Alterations
Two transgenic mouse models for -subunit components of succinate-CoA ligase yielding pleiotropic metabolic alterations Kacso, Gergely; Ravasz, Dora; Doczi, Judit; Németh, Beáta; Madgar, Ory; Saada, Ann; Ilin, Polina; Miller, Chaya; Ostergaard, Elsebet; Iordanov, Iordan; Adams, Daniel; Vargedo, Zsuzsanna; Araki, Masatake; Araki, Kimi; Nakahara, Mai; Ito, Haruka; Gál, Aniko; Molnár, Mária J; Nagy, Zsolt; Patocs, Attila; Adam-Vizi, Vera; Chinopoulos, Christos Published in: Biochemical Journal DOI: 10.1042/BCJ20160594 Publication date: 2016 Document version Publisher's PDF, also known as Version of record Document license: CC BY Citation for published version (APA): Kacso, G., Ravasz, D., Doczi, J., Németh, B., Madgar, O., Saada, A., Ilin, P., Miller, C., Ostergaard, E., Iordanov, I., Adams, D., Vargedo, Z., Araki, M., Araki, K., Nakahara, M., Ito, H., Gál, A., Molnár, M. J., Nagy, Z., ... Chinopoulos, C. (2016). Two transgenic mouse models for -subunit components of succinate-CoA ligase yielding pleiotropic metabolic alterations. Biochemical Journal, 473(20), 3463-3485. https://doi.org/10.1042/BCJ20160594 Download date: 02. okt.. 2021 Biochemical Journal (2016) 473 3463–3485 DOI: 10.1042/BCJ20160594 Research Article Two transgenic mouse models for β-subunit components of succinate-CoA ligase yielding pleiotropic metabolic alterations Gergely Kacso1,2, Dora Ravasz1,2, Judit Doczi1,2, Beáta Németh1,2, Ory Madgar1,2, Ann Saada3, Polina Ilin3, Chaya Miller3, Elsebet Ostergaard4, Iordan Iordanov1,5, Daniel Adams1,2, Zsuzsanna Vargedo1,2, Masatake -
Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma
Anatomy and Pathology Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma Sarah L. Lake,1 Sarah E. Coupland,1 Azzam F. G. Taktak,2 and Bertil E. Damato3 PURPOSE. To detect deletions and loss of heterozygosity of disease is fatal in 92% of patients within 2 years of diagnosis. chromosome 3 in a rare subset of fatal, disomy 3 uveal mela- Clinical and histopathologic risk factors for UM metastasis noma (UM), undetectable by fluorescence in situ hybridization include large basal tumor diameter (LBD), ciliary body involve- (FISH). ment, epithelioid cytomorphology, extracellular matrix peri- ϩ ETHODS odic acid-Schiff-positive (PAS ) loops, and high mitotic M . Multiplex ligation-dependent probe amplification 3,4 5 (MLPA) with the P027 UM assay was performed on formalin- count. Prescher et al. showed that a nonrandom genetic fixed, paraffin-embedded (FFPE) whole tumor sections from 19 change, monosomy 3, correlates strongly with metastatic death, and the correlation has since been confirmed by several disomy 3 metastasizing UMs. Whole-genome microarray analy- 3,6–10 ses using a single-nucleotide polymorphism microarray (aSNP) groups. Consequently, fluorescence in situ hybridization were performed on frozen tissue samples from four fatal dis- (FISH) detection of chromosome 3 using a centromeric probe omy 3 metastasizing UMs and three disomy 3 tumors with Ͼ5 became routine practice for UM prognostication; however, 5% years’ metastasis-free survival. to 20% of disomy 3 UM patients unexpectedly develop metas- tases.11 Attempts have therefore been made to identify the RESULTS. Two metastasizing UMs that had been classified as minimal region(s) of deletion on chromosome 3.12–15 Despite disomy 3 by FISH analysis of a small tumor sample were found these studies, little progress has been made in defining the key on MLPA analysis to show monosomy 3. -
Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers
Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers. by Kelly Kennaley A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Molecular and Cellular Pathology) in the University of Michigan 2019 Doctoral Committee: Associate Professor Zaneta Nikolovska-Coleska, Co-Chair Adjunct Associate Professor Scott A. Tomlins, Co-Chair Associate Professor Eric R. Fearon Associate Professor Alexey I. Nesvizhskii Kelly R. Kennaley [email protected] ORCID iD: 0000-0003-2439-9020 © Kelly R. Kennaley 2019 Acknowledgements I have immeasurable gratitude for the unwavering support and guidance I received throughout my dissertation. First and foremost, I would like to thank my thesis advisor and mentor Dr. Scott Tomlins for entrusting me with a challenging, interesting, and impactful project. He taught me how to drive a project forward through set-backs, ask the important questions, and always consider the impact of my work. I’m truly appreciative for his commitment to ensuring that I would get the most from my graduate education. I am also grateful to the many members of the Tomlins lab that made it the supportive, collaborative, and educational environment that it was. I would like to give special thanks to those I’ve worked closely with on this project, particularly Dr. Moloy Goswami for his mentorship, Lei Lucy Wang, Dr. Sumin Han, and undergraduate students Bhavneet Singh, Travis Weiss, and Myles Barlow. I am also grateful for the support of my thesis committee, Dr. Eric Fearon, Dr. Alexey Nesvizhskii, and my co-mentor Dr. Zaneta Nikolovska-Coleska, who have offered guidance and critical evaluation since project inception. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Multi-Targeted Mechanisms Underlying the Endothelial Protective Effects of the Diabetic-Safe Sweetener Erythritol
Multi-Targeted Mechanisms Underlying the Endothelial Protective Effects of the Diabetic-Safe Sweetener Erythritol Danie¨lle M. P. H. J. Boesten1*., Alvin Berger2.¤, Peter de Cock3, Hua Dong4, Bruce D. Hammock4, Gertjan J. M. den Hartog1, Aalt Bast1 1 Department of Toxicology, Maastricht University, Maastricht, The Netherlands, 2 Global Food Research, Cargill, Wayzata, Minnesota, United States of America, 3 Cargill RandD Center Europe, Vilvoorde, Belgium, 4 Department of Entomology and UCD Comprehensive Cancer Center, University of California Davis, Davis, California, United States of America Abstract Diabetes is characterized by hyperglycemia and development of vascular pathology. Endothelial cell dysfunction is a starting point for pathogenesis of vascular complications in diabetes. We previously showed the polyol erythritol to be a hydroxyl radical scavenger preventing endothelial cell dysfunction onset in diabetic rats. To unravel mechanisms, other than scavenging of radicals, by which erythritol mediates this protective effect, we evaluated effects of erythritol in endothelial cells exposed to normal (7 mM) and high glucose (30 mM) or diabetic stressors (e.g. SIN-1) using targeted and transcriptomic approaches. This study demonstrates that erythritol (i.e. under non-diabetic conditions) has minimal effects on endothelial cells. However, under hyperglycemic conditions erythritol protected endothelial cells against cell death induced by diabetic stressors (i.e. high glucose and peroxynitrite). Also a number of harmful effects caused by high glucose, e.g. increased nitric oxide release, are reversed. Additionally, total transcriptome analysis indicated that biological processes which are differentially regulated due to high glucose are corrected by erythritol. We conclude that erythritol protects endothelial cells during high glucose conditions via effects on multiple targets. -
SUCLG2 Identified As Both a Determinator of CSF Ab1– 42 Levels and an Attenuator of Cognitive Decline in Alzheimer's Disease
Human Molecular Genetics, 2014, Vol. 23, No. 24 6644–6658 doi:10.1093/hmg/ddu372 Advance Access published on July 15, 2014 SUCLG2 identified as both a determinator of CSF Ab1– 42 levels and an attenuator of cognitive decline in Alzheimer’s disease Alfredo Ramirez1,2,{,∗, Wiesje M. van der Flier6,7,{, Christine Herold8,{, David Ramonet3,{, Stefanie Heilmann2,4, Piotr Lewczuk9, Julius Popp1, Andre´ Lacour8, Dmitriy Drichel8, Eva Louwersheimer6,7, Markus P. Kummer3,8, Carlos Cruchaga10,11, Per Hoffmann2,4,13, Charlotte 6,7 6,7 9 14 15 Teunissen , Henne Holstege , Johannes Kornhuber , Oliver Peters , Adam C. Naj , Vincent Downloaded from Chouraki16,17,Ce´line Bellenguez18,19,20, Amy Gerrish21, International Genomics of Alzheimer’s Project (IGAP){, Alzheimer’s Disease Neuroimaging Initiative (ADNI)}, Reiner Heun1, Lutz Fro¨ lich22, Michael Hu¨ ll23, Lara Buscemi24, Stefan Herms2,4,13, Heike Ko¨ lsch1, Philip Scheltens6,7, Monique M. Breteler8, Eckart Ru¨ ther25, Jens Wiltfang25, Alison Goate10,12, Frank Jessen1,8, http://hmg.oxfordjournals.org/ Wolfgang Maier1,8, Michael T. Heneka3,8,§, Tim Becker5,8,§ and Markus M. No¨ then2,4,§ 1Department of Psychiatry and Psychotherapy, 2Institute of Human Genetics, 3Clinical Neuroscience Unit, Department of Neurology, 4Department of Genomics, Life & Brain Center, 5Institute for Medical Biometry, Informatics, and Epidemiology, University of Bonn, 53127, Bonn, Germany, 6Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, 1081 HZ, Amsterdam, The Netherlands, -
Remodeling Adipose Tissue Through in Silico Modulation of Fat Storage For
Chénard et al. BMC Systems Biology (2017) 11:60 DOI 10.1186/s12918-017-0438-9 RESEARCHARTICLE Open Access Remodeling adipose tissue through in silico modulation of fat storage for the prevention of type 2 diabetes Thierry Chénard2, Frédéric Guénard3, Marie-Claude Vohl3,4, André Carpentier5, André Tchernof4,6 and Rafael J. Najmanovich1* Abstract Background: Type 2 diabetes is one of the leading non-infectious diseases worldwide and closely relates to excess adipose tissue accumulation as seen in obesity. Specifically, hypertrophic expansion of adipose tissues is related to increased cardiometabolic risk leading to type 2 diabetes. Studying mechanisms underlying adipocyte hypertrophy could lead to the identification of potential targets for the treatment of these conditions. Results: We present iTC1390adip, a highly curated metabolic network of the human adipocyte presenting various improvements over the previously published iAdipocytes1809. iTC1390adip contains 1390 genes, 4519 reactions and 3664 metabolites. We validated the network obtaining 92.6% accuracy by comparing experimental gene essentiality in various cell lines to our predictions of biomass production. Using flux balance analysis under various test conditions, we predict the effect of gene deletion on both lipid droplet and biomass production, resulting in the identification of 27 genes that could reduce adipocyte hypertrophy. We also used expression data from visceral and subcutaneous adipose tissues to compare the effect of single gene deletions between adipocytes from each -
Mitochondrial Hepatopathies Etiology and Genetics the Hepatocyte Mitochondrion Can Function Both As a Cause and As a Target of Liver Injury
Mitochondrial Hepatopathies Etiology and Genetics The hepatocyte mitochondrion can function both as a cause and as a target of liver injury. Most mitochondrial hepatopathies involve defects in the mitochondrial respiratory chain enzyme complexes (Figure 1). Resultant dysfunction of mitochondria yields deficient oxidative phosphorylation (OXPHOS), increased generation of reactive oxygen species (ROS), accumulation of hepatocyte lipid, impairment of other metabolic pathways and activation of both apoptotic and necrotic pathways of cellular death. Figure 1: Since the mitochondria are under dual control of nuclear DNA and mitochondrial DNA (mtDNA), mutations in genes of both classes have been associated with inherited mitochondrial myopathies, encephalopathies, and hepatopathies. Autosomal nuclear gene defects affect a variety of mitochondrial processes such as protein assembly, mtDNA synthesis and replication (e.g., deoxyguanosine kinase [dGUOK]) and DNA polymerase gamma [POLG]), and transport of nucleotides or metals. MPV17 (function unknown) and RRM2B (encoding the cytosolic p53-inducible ribonucleotide reductase small subunit) are two genes recently identified as also causing mtDNA depletion syndrome and liver failure, as has TWINKLE, TRMU, and SUCLG1. Most children with mitochondrial hepatopathies have identified or presumed mutations in these nuclear genes, rather than mtDNA genes. A classification of primary mitochondrial hepatopathies involving energy metabolism is presented in Table 1. Drug interference with mtDNA replication is now recognized as a cause of acquired mtDNA depletion that can result in liver failure, lactic acidosis, and myopathy in human immunodeficiency virus infected patients and, previously, in hepatitis B virus patients treated with nucleoside reverse transcriptase inhibitors. Current estimates suggest a minimum prevalence of all mitochondrial diseases of 11.5 cases per 100,000 individuals, or 1 in 8500 of the general population. -
Mitochondrial Genetics
Mitochondrial genetics Patrick Francis Chinnery and Gavin Hudson* Institute of Genetic Medicine, International Centre for Life, Newcastle University, Central Parkway, Newcastle upon Tyne NE1 3BZ, UK Introduction: In the last 10 years the field of mitochondrial genetics has widened, shifting the focus from rare sporadic, metabolic disease to the effects of mitochondrial DNA (mtDNA) variation in a growing spectrum of human disease. The aim of this review is to guide the reader through some key concepts regarding mitochondria before introducing both classic and emerging mitochondrial disorders. Sources of data: In this article, a review of the current mitochondrial genetics literature was conducted using PubMed (http://www.ncbi.nlm.nih.gov/pubmed/). In addition, this review makes use of a growing number of publically available databases including MITOMAP, a human mitochondrial genome database (www.mitomap.org), the Human DNA polymerase Gamma Mutation Database (http://tools.niehs.nih.gov/polg/) and PhyloTree.org (www.phylotree.org), a repository of global mtDNA variation. Areas of agreement: The disruption in cellular energy, resulting from defects in mtDNA or defects in the nuclear-encoded genes responsible for mitochondrial maintenance, manifests in a growing number of human diseases. Areas of controversy: The exact mechanisms which govern the inheritance of mtDNA are hotly debated. Growing points: Although still in the early stages, the development of in vitro genetic manipulation could see an end to the inheritance of the most severe mtDNA disease. Keywords: mitochondria/genetics/mitochondrial DNA/mitochondrial disease/ mtDNA Accepted: April 16, 2013 Mitochondria *Correspondence address. The mitochondrion is a highly specialized organelle, present in almost all Institute of Genetic Medicine, International eukaryotic cells and principally charged with the production of cellular Centre for Life, Newcastle energy through oxidative phosphorylation (OXPHOS). -
OXPHOS Remodeling in High-Grade Prostate Cancer Involves Mtdna Mutations and Increased Succinate Oxidation
ARTICLE https://doi.org/10.1038/s41467-020-15237-5 OPEN OXPHOS remodeling in high-grade prostate cancer involves mtDNA mutations and increased succinate oxidation Bernd Schöpf 1, Hansi Weissensteiner 1, Georg Schäfer2, Federica Fazzini1, Pornpimol Charoentong3, Andreas Naschberger1, Bernhard Rupp1, Liane Fendt1, Valesca Bukur4, Irina Giese4, Patrick Sorn4, Ana Carolina Sant’Anna-Silva 5, Javier Iglesias-Gonzalez6, Ugur Sahin4, Florian Kronenberg 1, ✉ Erich Gnaiger 5,6 & Helmut Klocker 7 1234567890():,; Rewiring of energy metabolism and adaptation of mitochondria are considered to impact on prostate cancer development and progression. Here, we report on mitochondrial respiration, DNA mutations and gene expression in paired benign/malignant human prostate tissue samples. Results reveal reduced respiratory capacities with NADH-pathway substrates glu- tamate and malate in malignant tissue and a significant metabolic shift towards higher succinate oxidation, particularly in high-grade tumors. The load of potentially deleterious mitochondrial-DNA mutations is higher in tumors and associated with unfavorable risk factors. High levels of potentially deleterious mutations in mitochondrial Complex I-encoding genes are associated with a 70% reduction in NADH-pathway capacity and compensation by increased succinate-pathway capacity. Structural analyses of these mutations reveal amino acid alterations leading to potentially deleterious effects on Complex I, supporting a causal relationship. A metagene signature extracted from the transcriptome of tumor samples exhibiting a severe mitochondrial phenotype enables identification of tumors with shorter survival times. 1 Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University Innsbruck, Schöpfstraße 41, A-6020 Innsbruck, Austria. 2 Institute of Pathology, Neuropathology and Molecular Pathology, Medical University Innsbruck, Müllerstraße 44, A-6020 Innsbruck, Austria. -
A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family Linda Molla Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Linda Molla June 2018 © Copyright by Linda Molla 2018 A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY Linda Molla, Ph.D. The Rockefeller University 2018 APOBEC2 is a member of the AID/APOBEC cytidine deaminase family of proteins. Unlike most of AID/APOBEC, however, APOBEC2’s function remains elusive. Previous research has implicated APOBEC2 in diverse organisms and cellular processes such as muscle biology (in Mus musculus), regeneration (in Danio rerio), and development (in Xenopus laevis). APOBEC2 has also been implicated in cancer. However the enzymatic activity, substrate or physiological target(s) of APOBEC2 are unknown. For this thesis, I have combined Next Generation Sequencing (NGS) techniques with state-of-the-art molecular biology to determine the physiological targets of APOBEC2. Using a cell culture muscle differentiation system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the AID/APOBEC family member AID, APOBEC2 does not act as a 5-methyl-C deaminase.