Crystal Structure of Bacterial Succinate:Quinone Oxidoreductase Flavoprotein Sdha in Complex with Its Assembly Factor Sdhe
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SUPPLEMENTARY FIGURES and TABLES Genetic Hallmarks of Recurrent/Metastatic Adenoid Cystic Carcinoma
SUPPLEMENTARY FIGURES AND TABLES Genetic Hallmarks Of Recurrent/Metastatic Adenoid Cystic Carcinoma SUPPLEMENTARY FIGURES Figure S1. Flow diagram of study design. Figure S2. Primary and recurrent/metastatic adenoid cystic carcinoma distribution by anatomic site. Figure S3. Variant allelic frequency (VAF) density histogram for NOTCH1 mutations observed in recurrent/metastatic adenoid cystic carcinoma (R/M ACC). Figure S4. Downsampling analysis of R/M MSK-IMPACT cohort (n=94) to simulate mutation detection at 100x coverage. Figure S5. Representative PyClone plots demonstrating intratumoral heterogeneity quantified as number of genomically distinct subclonal populations in adenoid cystic carcinoma. Figure S6. MRI of the neck with contrast of adenoid cystic carcinoma of right parotid gland involving masseter muscle and ascending ramus. Figure S7. Histologic confirmation of 6 representative distant metastatic sites of a single case with parotid adenoid cystic carcinoma. Figure S8. Fluorescence in situ hybridization (FISH) of distant lung metastatic lesions in a single case of parotid adenoid cystic carcinoma. Figure S9. Two-way plots of cancer cell fraction in a single case of parotid adenoid cystic carcinoma, comparing primary tumor with eight metastatic lesions. Figure S10. Multiregion clonal evolution heatmap analysis of two breast adenoid cystic carcinoma cases with transformation to high grade triple-negative breast cancer (TNBC) histology. SUPPLEMENTARY TABLES Table S1. Study distribution of primary and recurrent/metastatic (R/M) adenoid cystic carcinoma (ACC) cases. Mixed entails head and neck, lung, and breast disease sites. Table S2. Top gene alteration incidence by tumor site (includes primary and recurrent/metastatic cases). Table S3. Top gene alteration incidence of recurrent/metastatic adenoid cystic carcinoma (R/M ACC) cases comparing primary site with distant metastatic site. -
Paraganglioma (PGL) Tumors in Patients with Succinate Dehydrogenase-Related PCC–PGL Syndromes: a Clinicopathological and Molecular Analysis
T G Papathomas and others Non-PCC/PGL tumors in the SDH 170:1 1–12 Clinical Study deficiency Non-pheochromocytoma (PCC)/paraganglioma (PGL) tumors in patients with succinate dehydrogenase-related PCC–PGL syndromes: a clinicopathological and molecular analysis Thomas G Papathomas1, Jose Gaal1, Eleonora P M Corssmit2, Lindsey Oudijk1, Esther Korpershoek1, Ketil Heimdal3, Jean-Pierre Bayley4, Hans Morreau5, Marieke van Dooren6, Konstantinos Papaspyrou7, Thomas Schreiner8, Torsten Hansen9, Per Arne Andresen10, David F Restuccia1, Ingrid van Kessel6, Geert J L H van Leenders1, Johan M Kros1, Leendert H J Looijenga1, Leo J Hofland11, Wolf Mann7, Francien H van Nederveen12, Ozgur Mete13,14, Sylvia L Asa13,14, Ronald R de Krijger1,15 and Winand N M Dinjens1 1Department of Pathology, Josephine Nefkens Institute, Erasmus MC, University Medical Center, PO Box 2040, 3000 CA Rotterdam, The Netherlands, 2Department of Endocrinology, Leiden University Medical Center, Leiden,The Netherlands, 3Section for Clinical Genetics, Department of Medical Genetics, Oslo University Hospital, Oslo, Norway, 4Department of Human and Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands, 5Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands, 6Department of Clinical Genetics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands, 7Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany, 8Section for Specialized Endocrinology, -
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. -
Heme Oxygenase-1 Regulates Mitochondrial Quality Control in the Heart
RESEARCH ARTICLE Heme oxygenase-1 regulates mitochondrial quality control in the heart Travis D. Hull,1,2 Ravindra Boddu,1,3 Lingling Guo,2,3 Cornelia C. Tisher,1,3 Amie M. Traylor,1,3 Bindiya Patel,1,4 Reny Joseph,1,3 Sumanth D. Prabhu,1,4,5 Hagir B. Suliman,6 Claude A. Piantadosi,7 Anupam Agarwal,1,3,5 and James F. George2,3,4 1Department of Medicine, 2Department of Surgery, 3Nephrology Research and Training Center, and 4Comprehensive Cardiovascular Center, University of Alabama at Birmingham, Birmingham, Alabama, USA. 5Department of Veterans Affairs, Birmingham, Alabama, USA. 6Department of Anesthesiology and 7Department of Pulmonary, Allergy and Critical Care, Duke University School of Medicine, Durham, North Carolina, USA. The cardioprotective inducible enzyme heme oxygenase-1 (HO-1) degrades prooxidant heme into equimolar quantities of carbon monoxide, biliverdin, and iron. We hypothesized that HO-1 mediates cardiac protection, at least in part, by regulating mitochondrial quality control. We treated WT and HO-1 transgenic mice with the known mitochondrial toxin, doxorubicin (DOX). Relative to WT mice, mice globally overexpressing human HO-1 were protected from DOX-induced dilated cardiomyopathy, cardiac cytoarchitectural derangement, and infiltration of CD11b+ mononuclear phagocytes. Cardiac-specific overexpression of HO-1 ameliorated DOX-mediated dilation of the sarcoplasmic reticulum as well as mitochondrial disorganization in the form of mitochondrial fragmentation and increased numbers of damaged mitochondria in autophagic vacuoles. HO-1 overexpression promotes mitochondrial biogenesis by upregulating protein expression of NRF1, PGC1α, and TFAM, which was inhibited in WT animals treated with DOX. Concomitantly, HO-1 overexpression inhibited the upregulation of the mitochondrial fission mediator Fis1 and resulted in increased expression of the fusion mediators, Mfn1 and Mfn2. -
The Orphan Disease Networks
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector ARTICLE The Orphan Disease Networks Minlu Zhang,1,3,5 Cheng Zhu,1,5 Alexis Jacomy,4 Long J. Lu,1,2,3 and Anil G. Jegga1,2,3,* The low prevalence rate of orphan diseases (OD) requires special combined efforts to improve diagnosis, prevention, and discovery of novel therapeutic strategies. To identify and investigate relationships based on shared genes or shared functional features, we have con- ducted a bioinformatic-based global analysis of all orphan diseases with known disease-causing mutant genes. Starting with a bipartite network of known OD and OD-causing mutant genes and using the human protein interactome, we first construct and topologically analyze three networks: the orphan disease network, the orphan disease-causing mutant gene network, and the orphan disease-causing mutant gene interactome. Our results demonstrate that in contrast to the common disease-causing mutant genes that are predomi- nantly nonessential, a majority of orphan disease-causing mutant genes are essential. In confirmation of this finding, we found that OD-causing mutant genes are topologically important in the protein interactome and are ubiquitously expressed. Additionally, func- tional enrichment analysis of those genes in which mutations cause ODs shows that a majority result in premature death or are lethal in the orthologous mouse gene knockout models. To address the limitations of traditional gene-based disease networks, we also construct and analyze OD networks on the basis of shared enriched features (biological processes, cellular components, pathways, phenotypes, and literature citations). -
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 -
Mutations in SDHD Lead to Autosomal Recessive Encephalomyopathy And
Downloaded from http://jmg.bmj.com/ on December 5, 2017 - Published by group.bmj.com Genotype-phenotype correlations ORIGINAL ARTICLE Mutations in SDHD lead to autosomal recessive encephalomyopathy and isolated mitochondrial complex II deficiency Christopher Benjamin Jackson,1,2 Jean-Marc Nuoffer,3 Dagmar Hahn,3 Holger Prokisch,4,5 Birgit Haberberger,4 Matthias Gautschi,3,6 Annemarie Häberli,3 Sabina Gallati,1 André Schaller1 ▸ Additional material is ABSTRACT succinate to fumarate, is formed by the two larger published online only. To view Background Defects of the mitochondrial respiratory hydrophilic subunits, SDHA and SDHB, which also please visit the journal online (10.1136/jmedgenet-2013- chain complex II (succinate dehydrogenase (SDH) harbour the redox cofactors that participate in elec- 101932) complex) are extremely rare. Of the four nuclear encoded tron transfer to ubiquinone. The cofactor FAD is 1 proteins composing complex II, only mutations in the covalently bound to SDHA which provides the suc- Division of Human Genetics, fl fi Departments of Paediatrics and 70 kDa avoprotein (SDHA) and the recently identi ed cinate binding site, and SDHB possesses three Fe-S Clinical Research, University of complex II assembly factor (SDHAF1) have been found to centres which mediate the electron transfer to ubi- Bern, Bern, Switzerland be causative for mitochondrial respiratory chain diseases. quinone. The smaller hydrophobic SDHC and 2 Graduate School for Cellular Mutations in the other three subunits (SDHB, SDHC, SDHD subunits constitute the membrane anchor and Biomedical Sciences, SDHD) and the second assembly factor (SDHAF2) have and ubiquinone binding sites of CII and localise University of Bern, Bern, 2–4 Switzerland so far only been associated with hereditary CII to the inner mitochondrial membrane. -
Inhibition of Mitochondrial Complex II in Neuronal Cells Triggers Unique
www.nature.com/scientificreports OPEN Inhibition of mitochondrial complex II in neuronal cells triggers unique pathways culminating in autophagy with implications for neurodegeneration Sathyanarayanan Ranganayaki1, Neema Jamshidi2, Mohamad Aiyaz3, Santhosh‑Kumar Rashmi4, Narayanappa Gayathri4, Pulleri Kandi Harsha5, Balasundaram Padmanabhan6 & Muchukunte Mukunda Srinivas Bharath7* Mitochondrial dysfunction and neurodegeneration underlie movement disorders such as Parkinson’s disease, Huntington’s disease and Manganism among others. As a corollary, inhibition of mitochondrial complex I (CI) and complex II (CII) by toxins 1‑methyl‑4‑phenylpyridinium (MPP+) and 3‑nitropropionic acid (3‑NPA) respectively, induced degenerative changes noted in such neurodegenerative diseases. We aimed to unravel the down‑stream pathways associated with CII inhibition and compared with CI inhibition and the Manganese (Mn) neurotoxicity. Genome‑wide transcriptomics of N27 neuronal cells exposed to 3‑NPA, compared with MPP+ and Mn revealed varied transcriptomic profle. Along with mitochondrial and synaptic pathways, Autophagy was the predominant pathway diferentially regulated in the 3‑NPA model with implications for neuronal survival. This pathway was unique to 3‑NPA, as substantiated by in silico modelling of the three toxins. Morphological and biochemical validation of autophagy markers in the cell model of 3‑NPA revealed incomplete autophagy mediated by mechanistic Target of Rapamycin Complex 2 (mTORC2) pathway. Interestingly, Brain Derived Neurotrophic Factor -
Updates on the Genetics of Neuroendocrine Tumors
Updates on the Genetics of Neuroendocrine Tumors NET Patient Conference March 8, 2019 Anna Raper, MS, CGC Division of Translational Medicine and Human Genetics No disclosures 2 3 Overview 1. Cancer/tumor genetics 2. Genetics of neuroendocrine tumors sciencemag.org 4 The Genetics of Cancers and Tumors Hereditary v. Familial v. Sporadic Germline v. somatic genetics Risk When to suspect hereditary susceptibility 5 Cancer Distribution - General Hereditary (5-10%) • Specific gene variant is inherited in family • Associated with increased tumor/cancer risk Familial (10-20%) • Multiple genes and environmental factors may be involved • Some increased tumor/cancer risk Sporadic • Occurs by chance, or related to environmental factors • General population tumor/cancer risk 6 What are genes again? 7 Normal gene Pathogenic gene variant (“mutation”) kintalk.org 8 Cancer is a genetic disease kintalk.org 9 Germline v. Somatic gene mutations 10 Hereditary susceptibility to cancer Germline mutations Depending on the gene, increased risk for certain tumor/cancer types Does not mean an individual WILL develop cancer, but could change screening and management recommendations National Cancer Institute 11 Features that raise suspicion for hereditary condition Specific tumor types Early ages of diagnosis compared to the general population Multiple or bilateral (affecting both sides) tumors Family history • Clustering of certain tumor types • Multiple generations affected • Multiple siblings affected 12 When is genetic testing offered? A hereditary -
The Microbiota-Produced N-Formyl Peptide Fmlf Promotes Obesity-Induced Glucose
Page 1 of 230 Diabetes Title: The microbiota-produced N-formyl peptide fMLF promotes obesity-induced glucose intolerance Joshua Wollam1, Matthew Riopel1, Yong-Jiang Xu1,2, Andrew M. F. Johnson1, Jachelle M. Ofrecio1, Wei Ying1, Dalila El Ouarrat1, Luisa S. Chan3, Andrew W. Han3, Nadir A. Mahmood3, Caitlin N. Ryan3, Yun Sok Lee1, Jeramie D. Watrous1,2, Mahendra D. Chordia4, Dongfeng Pan4, Mohit Jain1,2, Jerrold M. Olefsky1 * Affiliations: 1 Division of Endocrinology & Metabolism, Department of Medicine, University of California, San Diego, La Jolla, California, USA. 2 Department of Pharmacology, University of California, San Diego, La Jolla, California, USA. 3 Second Genome, Inc., South San Francisco, California, USA. 4 Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA. * Correspondence to: 858-534-2230, [email protected] Word Count: 4749 Figures: 6 Supplemental Figures: 11 Supplemental Tables: 5 1 Diabetes Publish Ahead of Print, published online April 22, 2019 Diabetes Page 2 of 230 ABSTRACT The composition of the gastrointestinal (GI) microbiota and associated metabolites changes dramatically with diet and the development of obesity. Although many correlations have been described, specific mechanistic links between these changes and glucose homeostasis remain to be defined. Here we show that blood and intestinal levels of the microbiota-produced N-formyl peptide, formyl-methionyl-leucyl-phenylalanine (fMLF), are elevated in high fat diet (HFD)- induced obese mice. Genetic or pharmacological inhibition of the N-formyl peptide receptor Fpr1 leads to increased insulin levels and improved glucose tolerance, dependent upon glucagon- like peptide-1 (GLP-1). Obese Fpr1-knockout (Fpr1-KO) mice also display an altered microbiome, exemplifying the dynamic relationship between host metabolism and microbiota. -
One in Three Highly Selected Greek Patients with Breast Cancer Carries A
Cancer genetics J Med Genet: first published as 10.1136/jmedgenet-2019-106189 on 12 July 2019. Downloaded from ORIGINAL ARTICLE One in three highly selected Greek patients with breast cancer carries a loss-of-function variant in a cancer susceptibility gene Florentia Fostira, 1 Irene Kostantopoulou,1 Paraskevi Apostolou,1 Myrto S Papamentzelopoulou,1 Christos Papadimitriou,2 Eleni Faliakou,3 Christos Christodoulou,4 Ioannis Boukovinas,5 Evangelia Razis,6 Dimitrios Tryfonopoulos,7 Vasileios Barbounis,8 Andromache Vagena,1 Ioannis S Vlachos,9 Despoina Kalfakakou, 1 George Fountzilas,10 Drakoulis Yannoukakos1 ► Additional material is ABSTRact individuals carrying such pathogenic variants (PVs) published online only. To view Background Gene panel testing has become the norm face an increased lifetime risk for cancer diagnoses.1 please visit the journal online (http:// dx. doi. org/ 10. 1136/ for assessing breast cancer (BC) susceptibility, but actual The implementation of BRCA1 and BRCA2 genetic jmedgenet- 2019- 106189). cancer risks conferred by genes included in panels are testing into clinical practice has enabled the identifi- not established. Contrarily, deciphering the missing cation of individuals at high risk and the application For numbered affiliations see hereditability on BC, through identification of novel of tailored management guidelines, significantly end of article. candidates, remains a challenge. We aimed to investigate improving both cancer prevention and survival.2 the mutation prevalence and spectra in a highly Mutations -
Function and Structure of Complex Ii of The
Annu. Rev. Biochem. 2003. 72:77–109 doi: 10.1146/annurev.biochem.72.121801.161700 FUNCTION AND STRUCTURE OF COMPLEX II * OF THE RESPIRATORY CHAIN Gary Cecchini Molecular Biology Division, Veterans Administration Medical Center, San Francisco, California 94121, and Department of Biochemistry and Biophysics, University of California, San Francisco, California 94143; email: [email protected] Key Words succinate dehydrogenase, fumarate reductase, quinone oxidoreductase, reactive oxygen species, respiratory chain f Abstract Complex II is the only membrane-bound component of the Krebs cycle and in addition functions as a member of the electron transport chain in mitochondria and in many bacteria. A recent X-ray structural solution of members of the complex II family of proteins has provided important insights into their function. One feature of the complex II structures is a linear electron transport chain that extends from the flavin and iron-sulfur redox cofactors in the membrane extrinsic domain to the quinone and b heme cofactors in the membrane domain. Exciting recent developments in relation to disease in humans and the formation of reactive oxygen species by complex II point to its overall importance in cellular physiology. CONTENTS OVERVIEW OF MEMBRANE-BOUND RESPIRATORY CHAIN .......... 78 COMPLEX II .......................................... 80 OVERALL STRUCTURE OF COMPLEX II ....................... 83 FLAVOPROTEIN SUBUNIT AND FORMATION OF THE COVALENT FAD LINKAGE............................................ 87 CATALYSIS IN COMPLEX II................................ 91 IRON-SULFUR CLUSTERS OF COMPLEX II AND THE ELECTRON TRANS- FER PATHWAY........................................ 94 MEMBRANE DOMAIN OF COMPLEX II ........................ 95 ROLE OF THE b HEME IN COMPLEX II ........................ 99 RELATION OF COMPLEX II TO DISEASE AND REACTIVE OXYGEN SPECIES ............................................100 CONCLUDING REMARKS .................................104 *The U.S.