Sequencing Panel for 4813 Genes with Known Associated Clinical Phenotypes Trusight™ One Sequencing Panel Provides High Depth of Coverage for Accurate Variant Calling
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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. -
The Biomarkers of Key Mirnas and Target Genes Associated with Acute Myocardial Infarction
The biomarkers of key miRNAs and target genes associated with acute myocardial infarction Qi Wang1, Bingyan Liu2,3, Yuanyong Wang4, Baochen Bai1, Tao Yu3 and Xian–ming Chu1,5 1 Department of Cardiology, The Affiliated hospital of Qingdao University, Qingdao, China 2 School of Basic Medicine, Qingdao University, Qingdao, China 3 Institute for Translational Medicine, Qingdao University, Qingdao, China 4 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China 5 Department of Cardiology, The Affiliated Cardiovascular Hospital of Qingdao University, Qingdao, China ABSTRACT Background. Acute myocardial infarction (AMI) is considered one of the most prominent causes of death from cardiovascular disease worldwide. Knowledge of the molecular mechanisms underlying AMI remains limited. Accurate biomarkers are needed to predict the risk of AMI and would be beneficial for managing the incidence rate. The gold standard for the diagnosis of AMI, the cardiac troponin T (cTnT) assay, requires serial testing, and the timing of measurement with respect to symptoms affects the results. As attractive candidate diagnostic biomarkers in AMI, circulating microRNAs (miRNAs) are easily detectable, generally stable and tissue specific. Methods. The Gene Expression Omnibus (GEO) database was used to compare miRNA expression between AMI and control samples, and the interactions between miRNAs and mRNAs were analysed for expression and function. Furthermore, a protein-protein interaction (PPI) network was constructed. The miRNAs identified in the bioinformatic analysis were verified by RT-qPCR in an H9C2 cell line. The miRNAs in plasma samples from patients with AMI (n D 11) and healthy controls (n D 11) were used to construct Submitted 23 December 2019 receiver operating characteristic (ROC) curves to evaluate the clinical prognostic value Accepted 14 April 2020 of the identified miRNAs. -
Genetic and Neurodevelopmental Spectrum Of
Cognitive and behavioural genetics J Med Genet: first published as 10.1136/jmedgenet-2015-103451 on 17 March 2016. Downloaded from ORIGINAL ARTICLE Genetic and neurodevelopmental spectrum of SYNGAP1-associated intellectual disability and epilepsy Cyril Mignot,1,2,3 Celina von Stülpnagel,4,5 Caroline Nava,1,6 Dorothée Ville,7 Damien Sanlaville,8,9,10 Gaetan Lesca,8,9,10 Agnès Rastetter,6 Benoit Gachet,6 Yannick Marie,6 G Christoph Korenke,11 Ingo Borggraefe,12 Dorota Hoffmann-Zacharska,13 Elżbieta Szczepanik,14 Mariola Rudzka-Dybała,14 Uluç Yiş,15 Hande Çağlayan,16 Arnaud Isapof,17 Isabelle Marey,1 Eleni Panagiotakaki,18 Christian Korff,19 Eva Rossier,20 Angelika Riess,21 Stefanie Beck-Woedl,21 Anita Rauch,22 Christiane Zweier,23 Juliane Hoyer,23 André Reis,23 Mikhail Mironov,24 Maria Bobylova,24 Konstantin Mukhin,24 Laura Hernandez-Hernandez,25 Bridget Maher,25 Sanjay Sisodiya,25 Marius Kuhn,26 Dieter Glaeser,26 Sarah Weckhuysen,6,27 Candace T Myers,28 Heather C Mefford,28 Konstanze Hörtnagel,29 Saskia Biskup,29 EuroEPINOMICS-RES MAE working group, Johannes R Lemke,30 Delphine Héron,1,2,3,4 Gerhard Kluger,4,5 Christel Depienne1,6 ▸ Additional material is ABSTRACT INTRODUCTION published online only. To view Objective We aimed to delineate the neurodevelopmental The human SYNGAP1 gene on chromosome please visit the journal online (http://dx.doi.org/10.1136/ spectrum associated with SYNGAP1 mutations and to 6p21.3 encodes the synaptic RAS-GTPase-activating jmedgenet-2015-103451). investigate genotype–phenotype correlations. protein 1, a protein of the post-synaptic density Methods We sequenced the exome or screened the exons (PSD) of glutamatergic neurons.12SYNGAP1 inter- For numbered affiliations see end of article. -
Characterization of Zebrafish GABAA Receptor Subunits
www.nature.com/scientificreports OPEN Characterization of zebrafsh GABAA receptor subunits Kenichiro Sadamitsu, Leona Shigemitsu, Marina Suzuki, Daishi Ito, Makoto Kashima & Hiromi Hirata* γ-Aminobutyric acid (GABA), the major inhibitory neurotransmitter in the central nervous system, exerts its efect through the activation of GABA receptors. GABAA receptors are ligand-gated chloride channels composed of fve subunit proteins. Mammals have 19 diferent GABAA receptor subunits (α1–6, β1–3, γ1–3, δ, ε, π, θ, and ρ1–3), the physiological properties of which have been assayed by electrophysiology. However, the evolutionary conservation of the physiological characteristics of diverged GABAA receptor subunits remains unclear. Zebrafsh have 23 subunits (α1, α2a, α2b, α3–5, α6a, α6b, β1–4, γ1–3, δ, π, ζ, ρ1, ρ2a, ρ2b, ρ3a, and ρ3b), but the electrophysiological properties of these subunits have not been explored. In this study, we cloned the coding sequences for zebrafsh GABAA receptor subunits and investigated their expression patterns in larval zebrafsh by whole- mount in situ hybridization. We also performed electrophysiological recordings of GABA-evoked currents from Xenopus oocytes injected with one or multiple zebrafsh GABAA receptor subunit cRNAs and calculated the half-maximal efective concentrations (EC50s) for each. Our results revealed the spatial expressions and electrophysiological GABA sensitivities of zebrafsh GABAA receptors, suggesting that the properties of GABAA receptor subunits are conserved among vertebrates. γ-Aminobutyric acid (GABA), the major inhibitory neurotransmitter in the central nervous system of vertebrates, 1 controls the excitability of neural networks mainly through GABA A receptors . Te GABAA receptor mediates two types of inhibition, known as phasic and tonic inhibition2. -
Distinct Genetic Alterations in Colorectal Cancer
Distinct Genetic Alterations in Colorectal Cancer Hassan Ashktorab1*, Alejandro A. Scha¨ffer2, Mohammad Daremipouran3, Duane T. Smoot3, Edward Lee3, Hassan Brim3 1 Department of Medicine and Cancer Center, Howard University, College of Medicine, Washington, DC, United States of America, 2 National Center for Biotechnology Information, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, United States of America, 3 Department of Pathology, Howard University, College of Medicine, Washington, DC, United States of America Abstract Background: Colon cancer (CRC) development often includes chromosomal instability (CIN) leading to amplifications and deletions of large DNA segments. Epidemiological, clinical, and cytogenetic studies showed that there are considerable differences between CRC tumors from African Americans (AAs) and Caucasian patients. In this study, we determined genomic copy number aberrations in sporadic CRC tumors from AAs, in order to investigate possible explanations for the observed disparities. Methodology/Principal Findings: We applied genome-wide array comparative genome hybridization (aCGH) using a 105k chip to identify copy number aberrations in samples from 15 AAs. In addition, we did a population comparative analysis with aCGH data in Caucasians as well as with a widely publicized list of colon cancer genes (CAN genes). There was an average of 20 aberrations per patient with more amplifications than deletions. Analysis of DNA copy number of frequently altered chromosomes revealed that deletions occurred primarily in chromosomes 4, 8 and 18. Chromosomal duplications occurred in more than 50% of cases on chromosomes 7, 8, 13, 20 and X. The CIN profile showed some differences when compared to Caucasian alterations. Conclusions/Significance: Chromosome X amplification in male patients and chromosomes 4, 8 and 18 deletions were prominent aberrations in AAs. -
Proteomic Analysis of HIV-1 Nef Cellular Binding Partners Reveals a Role for Exocyst Complex Proteins in Mediating Enhancement of Intercellular Nanotube Formation
Proteomic analysis of HIV-1 Nef cellular binding partners reveals a role for exocyst complex proteins in mediating enhancement of intercellular nanotube formation The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Mukerji, Joya, Kevin C Olivieri, Vikas Misra, Kristin A Agopian, and Dana Gabuzda. 2012. Proteomic analysis of hiv-1 nef cellular binding partners reveals a role for exocyst complex proteins in mediating enhancement of intercellular nanotube formation. Retrovirology 9: 33. Published Version doi:10.1186/1742-4690-9-33 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:10445557 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Mukerji et al. Retrovirology 2012, 9:33 http://www.retrovirology.com/content/9/1/33 RESEARCH Open Access Proteomic analysis of HIV-1 Nef cellular binding partners reveals a role for exocyst complex proteins in mediating enhancement of intercellular nanotube formation Joya Mukerji1,2, Kevin C Olivieri1, Vikas Misra1, Kristin A Agopian1,2 and Dana Gabuzda1,2,3* Abstract Background: HIV-1 Nef protein contributes to pathogenesis via multiple functions that include enhancement of viral replication and infectivity, alteration of intracellular trafficking, and modulation of cellular signaling pathways. Nef stimulates formation of tunneling nanotubes and virological synapses, and is transferred to bystander cells via these intercellular contacts and secreted microvesicles. Nef associates with and activates Pak2, a kinase that regulates T-cell signaling and actin cytoskeleton dynamics, but how Nef promotes nanotube formation is unknown. -
Research Article Microarray-Based Comparisons of Ion Channel Expression Patterns: Human Keratinocytes to Reprogrammed Hipscs To
Hindawi Publishing Corporation Stem Cells International Volume 2013, Article ID 784629, 25 pages http://dx.doi.org/10.1155/2013/784629 Research Article Microarray-Based Comparisons of Ion Channel Expression Patterns: Human Keratinocytes to Reprogrammed hiPSCs to Differentiated Neuronal and Cardiac Progeny Leonhard Linta,1 Marianne Stockmann,1 Qiong Lin,2 André Lechel,3 Christian Proepper,1 Tobias M. Boeckers,1 Alexander Kleger,3 and Stefan Liebau1 1 InstituteforAnatomyCellBiology,UlmUniversity,Albert-EinsteinAllee11,89081Ulm,Germany 2 Institute for Biomedical Engineering, Department of Cell Biology, RWTH Aachen, Pauwelstrasse 30, 52074 Aachen, Germany 3 Department of Internal Medicine I, Ulm University, Albert-Einstein Allee 11, 89081 Ulm, Germany Correspondence should be addressed to Alexander Kleger; [email protected] and Stefan Liebau; [email protected] Received 31 January 2013; Accepted 6 March 2013 Academic Editor: Michael Levin Copyright © 2013 Leonhard Linta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Ion channels are involved in a large variety of cellular processes including stem cell differentiation. Numerous families of ion channels are present in the organism which can be distinguished by means of, for example, ion selectivity, gating mechanism, composition, or cell biological function. To characterize the distinct expression of this group of ion channels we have compared the mRNA expression levels of ion channel genes between human keratinocyte-derived induced pluripotent stem cells (hiPSCs) and their somatic cell source, keratinocytes from plucked human hair. This comparison revealed that 26% of the analyzed probes showed an upregulation of ion channels in hiPSCs while just 6% were downregulated. -
Assessment of Molecular Action of Direct Gating and Allosteric Modulatory Effects of Carisoprodol (Somartm) on GABA a Receptors
Graduate Theses, Dissertations, and Problem Reports 2015 Assessment of molecular action of direct gating and allosteric modulatory effects of carisoprodol (SomaRTM) on GABA A receptors Manoj Kumar Follow this and additional works at: https://researchrepository.wvu.edu/etd Recommended Citation Kumar, Manoj, "Assessment of molecular action of direct gating and allosteric modulatory effects of carisoprodol (SomaRTM) on GABA A receptors" (2015). Graduate Theses, Dissertations, and Problem Reports. 6022. https://researchrepository.wvu.edu/etd/6022 This Dissertation is protected by copyright and/or related rights. It has been brought to you by the The Research Repository @ WVU with permission from the rights-holder(s). You are free to use this Dissertation in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you must obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Dissertation has been accepted for inclusion in WVU Graduate Theses, Dissertations, and Problem Reports collection by an authorized administrator of The Research Repository @ WVU. For more information, please contact [email protected]. ASSESSMENT OF MOLECULAR ACTION OF DIRECT GATING AND ALLOSTERIC MODULATORY EFFECTS OF MEPROBAMATE (MILTOWN®) ON GABAA RECEPTORS Manish Kumar, MD, MS Dissertation submitted to the School of Pharmacy at West Virginia University in partial fulfillment of Requirements -
Literature Mining Sustains and Enhances Knowledge Discovery from Omic Studies
LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES by Rick Matthew Jordan B.S. Biology, University of Pittsburgh, 1996 M.S. Molecular Biology/Biotechnology, East Carolina University, 2001 M.S. Biomedical Informatics, University of Pittsburgh, 2005 Submitted to the Graduate Faculty of School of Medicine in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2016 UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE This dissertation was presented by Rick Matthew Jordan It was defended on December 2, 2015 and approved by Shyam Visweswaran, M.D., Ph.D., Associate Professor Rebecca Jacobson, M.D., M.S., Professor Songjian Lu, Ph.D., Assistant Professor Dissertation Advisor: Vanathi Gopalakrishnan, Ph.D., Associate Professor ii Copyright © by Rick Matthew Jordan 2016 iii LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES Rick Matthew Jordan, M.S. University of Pittsburgh, 2016 Genomic, proteomic and other experimentally generated data from studies of biological systems aiming to discover disease biomarkers are currently analyzed without sufficient supporting evidence from the literature due to complexities associated with automated processing. Extracting prior knowledge about markers associated with biological sample types and disease states from the literature is tedious, and little research has been performed to understand how to use this knowledge to inform the generation of classification models from ‘omic’ data. Using pathway analysis methods to better understand the underlying biology of complex diseases such as breast and lung cancers is state-of-the-art. However, the problem of how to combine literature- mining evidence with pathway analysis evidence is an open problem in biomedical informatics research. -
Expression of GABAA Α2-, Β1- And
OPEN Citation: Transl Psychiatry (2013) 3, e303; doi:10.1038/tp.2013.64 & 2013 Macmillan Publishers Limited All rights reserved 2158-3188/13 www.nature.com/tp ORIGINAL ARTICLE Expression of GABAA a2-, b1- and e-receptors are altered significantly in the lateral cerebellum of subjects with schizophrenia, major depression and bipolar disorder SH Fatemi1,2,3, TD Folsom1, RJ Rooney4 and PD Thuras5 There is abundant evidence that dysfunction of the g-aminobutyric acid (GABA)ergic signaling system is implicated in the pathology of schizophrenia and mood disorders. Less is known about the alterations in protein expression of GABA receptor subunits in brains of subjects with schizophrenia and mood disorders. We have previously demonstrated reduced expression of GABAB receptor subunits 1 and 2 (GABBR1 and GABBR2) in the lateral cerebella of subjects with schizophrenia, bipolar disorder and major depressive disorder. In the current study, we have expanded these studies to examine the mRNA and protein expression of 12 GABAA subunit proteins (a1, a2, a3, a5, a6, b1, b2, b3, d, e, g2 and g3) in the lateral cerebella from the same set of subjects with schizophrenia (N ¼ 9–15), bipolar disorder (N ¼ 10–15) and major depression (N ¼ 12–15) versus healthy controls (N ¼ 10–15). We found significant group effects for protein levels of the a2-, b1- and e-subunits across treatment groups. We also found a significant group effect for mRNA levels of the a1-subunit across treatment groups. New avenues for treatment, such as the use of neurosteroids to promote GABA modulation, could potentially ameliorate GABAergic dysfunction in these disorders. -
Ion Channels
UC Davis UC Davis Previously Published Works Title THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels. Permalink https://escholarship.org/uc/item/1442g5hg Journal British journal of pharmacology, 176 Suppl 1(S1) ISSN 0007-1188 Authors Alexander, Stephen PH Mathie, Alistair Peters, John A et al. Publication Date 2019-12-01 DOI 10.1111/bph.14749 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: Ion channels. British Journal of Pharmacology (2019) 176, S142–S228 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels Stephen PH Alexander1 , Alistair Mathie2 ,JohnAPeters3 , Emma L Veale2 , Jörg Striessnig4 , Eamonn Kelly5, Jane F Armstrong6 , Elena Faccenda6 ,SimonDHarding6 ,AdamJPawson6 , Joanna L Sharman6 , Christopher Southan6 , Jamie A Davies6 and CGTP Collaborators 1School of Life Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK 3Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK 4Pharmacology and Toxicology, Institute of Pharmacy, University of Innsbruck, A-6020 Innsbruck, Austria 5School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, BS8 1TD, UK 6Centre for Discovery Brain Science, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. -
Supplementary Table 8. Cpcp PPI Network Details for Significantly Changed Proteins, As Identified in 3.2, Underlying Each of the Five Functional Domains
Supplementary Table 8. cPCP PPI network details for significantly changed proteins, as identified in 3.2, underlying each of the five functional domains. The network nodes represent each significant protein, followed by the list of interactors. Note that identifiers were converted to gene names to facilitate PPI database queries. Functional Domain Node Interactors Development and Park7 Rack1 differentiation Kcnma1 Atp6v1a Ywhae Ywhaz Pgls Hsd3b7 Development and Prdx6 Ncoa3 differentiation Pla2g4a Sufu Ncf2 Gstp1 Grin2b Ywhae Pgls Hsd3b7 Development and Atp1a2 Kcnma1 differentiation Vamp2 Development and Cntn1 Prnp differentiation Ywhaz Clstn1 Dlg4 App Ywhae Ywhab Development and Rac1 Pak1 differentiation Cdc42 Rhoa Dlg4 Ctnnb1 Mapk9 Mapk8 Pik3cb Sod1 Rrad Epb41l2 Nono Ltbp1 Evi5 Rbm39 Aplp2 Smurf2 Grin1 Grin2b Xiap Chn2 Cav1 Cybb Pgls Ywhae Development and Hbb-b1 Atp5b differentiation Hba Kcnma1 Got1 Aldoa Ywhaz Pgls Hsd3b4 Hsd3b7 Ywhae Development and Myh6 Mybpc3 differentiation Prkce Ywhae Development and Amph Capn2 differentiation Ap2a2 Dnm1 Dnm3 Dnm2 Atp6v1a Ywhab Development and Dnm3 Bin1 differentiation Amph Pacsin1 Grb2 Ywhae Bsn Development and Eef2 Ywhaz differentiation Rpgrip1l Atp6v1a Nphp1 Iqcb1 Ezh2 Ywhae Ywhab Pgls Hsd3b7 Hsd3b4 Development and Gnai1 Dlg4 differentiation Development and Gnao1 Dlg4 differentiation Vamp2 App Ywhae Ywhab Development and Psmd3 Rpgrip1l differentiation Psmd4 Hmga2 Development and Thy1 Syp differentiation Atp6v1a App Ywhae Ywhaz Ywhab Hsd3b7 Hsd3b4 Development and Tubb2a Ywhaz differentiation Nphp4