Degenerative and Regenerative Pathways Underlying Duchenne Muscular Dystrophy Revealed by Single-Nucleus RNA Sequencing
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Investigation of Functional Genes at Homologous Loci Identified Based
Journal of Atherosclerosis and Thrombosis Vol.22, No.5 455 Original Article Investigation of Functional Genes at Homologous Loci Identified Based on Genome-wide Association Studies of Blood Lipids via High-fat Diet Intervention in Rats using an in vivo Approach Koichi Akiyama, Yi-Qiang Liang, Masato Isono and Norihiro Kato Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan Aim: It is challenging to identify causal (or target) genes at individual loci detected using genome- wide association studies (GWAS). In order to follow up GWAS loci, we investigated functional genes at homologous loci identified using human lipid GWAS that responded to a high-fat, high-choles- terol diet (HFD) intervention in an animal model. Methods: The HFD intervention was carried out for four weeks in male rats of the spontaneously hypertensive rat strain. The liver and adipose tissues were subsequently excised for analyses of changes in the gene expression as compared to that observed in rats fed normal rat chow (n=8 per group). From 98 lipid-associated loci reported in previous GWAS, 280 genes with rat orthologs were initially selected as targets for the two-staged analysis involving screening with DNA microarray and validation with quantitative PCR (qPCR). Consequently, genes showing a differential expression due to HFD were examined for changes in the expression induced by atorvastatin, which was indepen- dently administered to the rats. Results: Using the HFD intervention in the rats, seven known (Abca1, Abcg5, Abcg8, Lpl, Nr1h3, Pcsk9 and Pltp) and three novel (Madd, Stac3 and Timd4) genes were identified as potential signifi- cant targets, with an additional list of 23 suggestive genes. -
Meta-Analysis of Nasopharyngeal Carcinoma
BMC Genomics BioMed Central Research article Open Access Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation Xia Chen†1,2, Shuang Liang†1, WenLing Zheng1,3, ZhiJun Liao1, Tao Shang1 and WenLi Ma*1 Address: 1Institute of Genetic Engineering, Southern Medical University, Guangzhou, PR China, 2Xiangya Pingkuang associated hospital, Pingxiang, Jiangxi, PR China and 3Southern Genomics Research Center, Guangzhou, Guangdong, PR China Email: Xia Chen - [email protected]; Shuang Liang - [email protected]; WenLing Zheng - [email protected]; ZhiJun Liao - [email protected]; Tao Shang - [email protected]; WenLi Ma* - [email protected] * Corresponding author †Equal contributors Published: 7 July 2008 Received: 16 February 2008 Accepted: 7 July 2008 BMC Genomics 2008, 9:322 doi:10.1186/1471-2164-9-322 This article is available from: http://www.biomedcentral.com/1471-2164/9/322 © 2008 Chen et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Epstein-Barr virus (EBV) presumably plays an important role in the pathogenesis of nasopharyngeal carcinoma (NPC), but the molecular mechanism of EBV-dependent neoplastic transformation is not well understood. The combination of bioinformatics with evidences from biological experiments paved a new way to gain more insights into the molecular mechanism of cancer. Results: We profiled gene expression using a meta-analysis approach. Two sets of meta-genes were obtained. Meta-A genes were identified by finding those commonly activated/deactivated upon EBV infection/reactivation. -
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. -
Cell Development and Peripheral Survival Heme Exporter FLVCR Is
Heme Exporter FLVCR Is Required for T Cell Development and Peripheral Survival Mary Philip, Scott A. Funkhouser, Edison Y. Chiu, Susan R. Phelps, Jeffrey J. Delrow, James Cox, Pamela J. Fink and This information is current as Janis L. Abkowitz of September 28, 2021. J Immunol 2015; 194:1677-1685; Prepublished online 12 January 2015; doi: 10.4049/jimmunol.1402172 http://www.jimmunol.org/content/194/4/1677 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2015/01/09/jimmunol.140217 Material 2.DCSupplemental http://www.jimmunol.org/ References This article cites 44 articles, 11 of which you can access for free at: http://www.jimmunol.org/content/194/4/1677.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 28, 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 © 2015 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Heme Exporter FLVCR Is Required for T Cell Development and Peripheral Survival Mary Philip,*,† Scott A. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
1 Supporting Information for a Microrna Network Regulates
Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Checkpoint Control and Cancer
Oncogene (2012) 31, 2601–2613 & 2012 Macmillan Publishers Limited All rights reserved 0950-9232/12 www.nature.com/onc REVIEW Checkpoint control and cancer RH Medema1,3 and L Macu˚rek2 1Department of Medical Oncology, University Medical Center, Utrecht, The Netherlands and 2Department of Genome Integrity, Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Prague, Czech Republic DNA-damaging therapies represent the most frequently efficient DNA repair has been recently reviewed used non-surgical anticancer strategies in the treatment of extensively elsewhere (Bekker-Jensen and Mailand, human tumors. These therapies can kill tumor cells, but at 2010; Ciccia and Elledge, 2010; Polo and Jackson, the same time they can be particularly damaging and 2011). This review will focus on the mechanisms that mutagenic to healthy tissues. The efficacy of DNA- activate checkpoints after genotoxic stress and silencing damaging treatments can be improved if tumor cell death of checkpoints during the recovery process that can is selectively enhanced, and the recent application of poly- occur after successful repair of the damage. (ADP-ribose) polymerase inhibitors in BRCA1/2-deficient tumors is a successful example of this. DNA damage is known to trigger cell-cycle arrest through activation of Activation of DNA-damage checkpoints DNA-damage checkpoints. This arrest can be reversed once the damage has been repaired, but irreparable In general, activation of DNA-damage checkpoints is damage can promote apoptosis or senescence. Alterna- enabled by recognition of DNA damage by sensors, tively, cells can reenter the cell cycle before repair has followed by an ordered activation of upstream and been completed, giving rise to mutations. -
F-Box Protein FBXO31 Directs Degradation of MDM2 to Facilitate P53-Mediated Growth Arrest Following Genotoxic Stress
F-box protein FBXO31 directs degradation of MDM2 to facilitate p53-mediated growth arrest following genotoxic stress Sunil K. Maloniaa,1, Parul Duttab, Manas Kumar Santrab,1,2, and Michael R. Greena,c,2 aDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, MA 01605; bNational Centre for Cell Science, University of Pune Campus, Ganeshkhind, Pune, Maharashtra 411007, India; and cHoward Hughes Medical Institute, University of Massachusetts Medical School, Worcester, MA 01605 Contributed by Michael R. Green, June 4, 2015 (sent for review May 28, 2015; reviewed by Sanjeev Das and Kevin Struhl) The tumor suppressor p53 plays a critical role in maintaining genomic DNA damage there is a posttranslational increase of FBXO31 stability. In response to genotoxic stress, p53 levels increase and in- levels, as there is for p53 (9). These considerations prompted us to duce cell-cycle arrest, senescence, or apoptosis, thereby preventing ask whether there was a functional relationship between FBXO31 replication of damaged DNA. In unstressed cells, p53 is maintained and p53. at a low level. The major negative regulator of p53 is MDM2, an E3 ubiquitin ligase that directly interacts with p53 and promotes its Results polyubiquitination, leading to the subsequent destruction of p53 by FBXO31 Is Required for Decreased MDM2 and Increased p53 Levels the 26S proteasome. Following DNA damage, MDM2 is degraded Following DNA Damage. We asked whether the ability of FBXO31 rapidly, resulting in increased p53 stability. Because of the important to induce growth arrest results, at least in part, from the regulation role of MDM2 in modulating p53 function, it is critical to understand of p53 levels. -
The First Case of Congenital Myasthenic Syndrome Caused by A
G C A T T A C G G C A T genes Case Report The First Case of Congenital Myasthenic Syndrome Caused by a Large Homozygous Deletion in the C-Terminal Region of COLQ (Collagen Like Tail Subunit of Asymmetric Acetylcholinesterase) Protein Nicola Laforgia 1 , Lucrezia De Cosmo 1, Orazio Palumbo 2 , Carlotta Ranieri 3, Michela Sesta 4, Donatella Capodiferro 1, Antonino Pantaleo 3 , Pierluigi Iapicca 5 , Patrizia Lastella 6, Manuela Capozza 1 , Federico Schettini 1, Nenad Bukvic 7 , Rosanna Bagnulo 3 and Nicoletta Resta 3,7,* 1 Section of Neonatology and Neonatal Intensive Care Unit, Department of Biomedical Science and Human Oncology (DIMO), University of Bari “Aldo Moro”, 70124 Bari, Italy; [email protected] (N.L.); [email protected] (L.D.C.); [email protected] (D.C.); [email protected] (M.C.); [email protected] (F.S.) 2 Division of Medical Genetics, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy; [email protected] 3 Division of Medical Genetics, Department of Biomedical Sciences and Human Oncology (DIMO), University of Bari “Aldo Moro”, 70124 Bari, Italy; [email protected] (C.R.); [email protected] (A.P.); [email protected] (R.B.) 4 Neurology Unit, University Hospital Consortium Corporation Polyclinic of Bari, 70124 Bari, Italy; [email protected] 5 SOPHiA GENETICS SA HQ, 1025 Saint-Sulpice, Switzerland; [email protected] 6 Rare Diseases Centre—Internal Medicine Unit “C. Frugoni”, Polyclinic of Bari, 70124 Bari, Italy; [email protected] 7 Medical Genetics Section, University Hospital Consortium Corporation Polyclinic of Bari, 70124 Bari, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-0805593619 Received: 17 November 2020; Accepted: 15 December 2020; Published: 18 December 2020 Abstract: Congenital myasthenic syndromes (CMSs) are caused by mutations in genes that encode proteins involved in the organization, maintenance, function, or modification of the neuromuscular junction. -
Associated 16P11.2 Deletion in Drosophila Melanogaster
ARTICLE DOI: 10.1038/s41467-018-04882-6 OPEN Pervasive genetic interactions modulate neurodevelopmental defects of the autism- associated 16p11.2 deletion in Drosophila melanogaster Janani Iyer1, Mayanglambam Dhruba Singh1, Matthew Jensen1,2, Payal Patel 1, Lucilla Pizzo1, Emily Huber1, Haley Koerselman3, Alexis T. Weiner 1, Paola Lepanto4, Komal Vadodaria1, Alexis Kubina1, Qingyu Wang 1,2, Abigail Talbert1, Sneha Yennawar1, Jose Badano 4, J. Robert Manak3,5, Melissa M. Rolls1, Arjun Krishnan6,7 & 1234567890():,; Santhosh Girirajan 1,2,8 As opposed to syndromic CNVs caused by single genes, extensive phenotypic heterogeneity in variably-expressive CNVs complicates disease gene discovery and functional evaluation. Here, we propose a complex interaction model for pathogenicity of the autism-associated 16p11.2 deletion, where CNV genes interact with each other in conserved pathways to modulate expression of the phenotype. Using multiple quantitative methods in Drosophila RNAi lines, we identify a range of neurodevelopmental phenotypes for knockdown of indi- vidual 16p11.2 homologs in different tissues. We test 565 pairwise knockdowns in the developing eye, and identify 24 interactions between pairs of 16p11.2 homologs and 46 interactions between 16p11.2 homologs and neurodevelopmental genes that suppress or enhance cell proliferation phenotypes compared to one-hit knockdowns. These interac- tions within cell proliferation pathways are also enriched in a human brain-specific network, providing translational relevance in humans. Our study indicates a role for pervasive genetic interactions within CNVs towards cellular and developmental phenotypes. 1 Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA. 2 Bioinformatics and Genomics Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA. -
Decoding DMD Transcriptional Networks Using Single‐Nucleus RNA Sequencing COMMENTARY Daniel J
COMMENTARY Decoding DMD transcriptional networks using single‐nucleus RNA sequencing COMMENTARY Daniel J. Garrya,b,1, Satyabrata Dasa, and Wuming Gonga Duchenne muscular dystrophy (DMD) is an X chromosome-linked disease, and it is the most com- mon form of muscular dystrophy caused by genetic mutations in the Dmd gene (1). The Dmd gene contains 79 exons, spans 2.4 Mb, and is the single largest gene in the human genome (2). This gene encodes for dystro- phin, which is a component of the dystrophin– glycoprotein complex that provides structural stability to the cell membrane (by connecting the cytoskeleton and the extracellular matrix), and a dys- functional or absent dystrophin protein leads to pro- Fig. 1. Decoding the molecular mechanisms of DMD gressive muscle wasting with cycles of muscle pathogenesis utilizing snRNA-seq. This figure schematizes the discoveries outlined in Chemello et al. degeneration and regeneration that ultimately fail (3, (7) with the newly generated DMD mouse model 4). Young boys with DMD lose their ability to ambu- (ΔEx51) and the transcriptomic analysis of isolated late, become wheelchair bound, and die prematurely nuclei from skeletal muscle cells. The snRNA-seq (1, 5). This disease affects skeletal muscle, which is the analysis was used to discover factors and pathways underlying DMD pathogenesis from previously single largest organ in the body, and it normally has a unrecognized cell clusters. These results in remarkable capacity for regeneration (6). In response combination with other databases provide a platform to a severe injury caused by genetic disorders, trauma, for developing new therapeutic interventions or exposure to toxins that destroys over 90% of the mus- as well as an enhanced understanding of the gene-regulatory networks involved in muscle biology cle, the cytoarchitecture of the injured tissue is com- and DMD.