A Glycine-Insulin Autocrine Feedback Loop Enhances Insulin Secretion
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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. -
Expression Profiling of Ion Channel Genes Predicts Clinical Outcome in Breast Cancer
UCSF UC San Francisco Previously Published Works Title Expression profiling of ion channel genes predicts clinical outcome in breast cancer Permalink https://escholarship.org/uc/item/1zq9j4nw Journal Molecular Cancer, 12(1) ISSN 1476-4598 Authors Ko, Jae-Hong Ko, Eun A Gu, Wanjun et al. Publication Date 2013-09-22 DOI http://dx.doi.org/10.1186/1476-4598-12-106 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Ko et al. Molecular Cancer 2013, 12:106 http://www.molecular-cancer.com/content/12/1/106 RESEARCH Open Access Expression profiling of ion channel genes predicts clinical outcome in breast cancer Jae-Hong Ko1, Eun A Ko2, Wanjun Gu3, Inja Lim1, Hyoweon Bang1* and Tong Zhou4,5* Abstract Background: Ion channels play a critical role in a wide variety of biological processes, including the development of human cancer. However, the overall impact of ion channels on tumorigenicity in breast cancer remains controversial. Methods: We conduct microarray meta-analysis on 280 ion channel genes. We identify candidate ion channels that are implicated in breast cancer based on gene expression profiling. We test the relationship between the expression of ion channel genes and p53 mutation status, ER status, and histological tumor grade in the discovery cohort. A molecular signature consisting of ion channel genes (IC30) is identified by Spearman’s rank correlation test conducted between tumor grade and gene expression. A risk scoring system is developed based on IC30. We test the prognostic power of IC30 in the discovery and seven validation cohorts by both Cox proportional hazard regression and log-rank test. -
Supplementary Material
Supplementary Material Table S1: Significant downregulated KEGGs pathways identified by DAVID following exposure to five cinnamon- based phenylpropanoids (p < 0.05). p-value Term: Genes (Benjamini) Cytokine-cytokine receptor interaction: FASLG, TNFSF14, CXCL11, IL11, FLT3LG, CCL3L1, CCL3L3, CXCR6, XCR1, 2.43 × 105 RTEL1, CSF2RA, TNFRSF17, TNFRSF14, CCNL2, VEGFB, AMH, TNFRSF10B, INHBE, IFNB1, CCR3, VEGFA, CCR2, IL12A, CCL1, CCL3, CXCL5, TNFRSF25, CCR1, CSF1, CX3CL1, CCL7, CCL24, TNFRSF1B, IL12RB1, CCL21, FIGF, EPO, IL4, IL18R1, FLT1, TGFBR1, EDA2R, HGF, TNFSF8, KDR, LEP, GH2, CCL13, EPOR, XCL1, IFNA16, XCL2 Neuroactive ligand-receptor interaction: OPRM1, THRA, GRIK1, DRD2, GRIK2, TACR2, TACR1, GABRB1, LPAR4, 9.68 × 105 GRIK5, FPR1, PRSS1, GNRHR, FPR2, EDNRA, AGTR2, LTB4R, PRSS2, CNR1, S1PR4, CALCRL, TAAR5, GABRE, PTGER1, GABRG3, C5AR1, PTGER3, PTGER4, GABRA6, GABRA5, GRM1, PLG, LEP, CRHR1, GH2, GRM3, SSTR2, Chlorogenic acid Chlorogenic CHRM3, GRIA1, MC2R, P2RX2, TBXA2R, GHSR, HTR2C, TSHR, LHB, GLP1R, OPRD1 Hematopoietic cell lineage: IL4, CR1, CD8B, CSF1, FCER2, GYPA, ITGA2, IL11, GP9, FLT3LG, CD38, CD19, DNTT, 9.29 × 104 GP1BB, CD22, EPOR, CSF2RA, CD14, THPO, EPO, HLA-DRA, ITGA2B Cytokine-cytokine receptor interaction: IL6ST, IL21R, IL19, TNFSF15, CXCR3, IL15, CXCL11, TGFB1, IL11, FLT3LG, CXCL10, CCR10, XCR1, RTEL1, CSF2RA, IL21, CCNL2, VEGFB, CCR8, AMH, TNFRSF10C, IFNB1, PDGFRA, EDA, CXCL5, TNFRSF25, CSF1, IFNW1, CNTFR, CX3CL1, CCL5, TNFRSF4, CCL4, CCL27, CCL24, CCL25, CCL23, IFNA6, IFNA5, FIGF, EPO, AMHR2, IL2RA, FLT4, TGFBR2, EDA2R, -
Supplementary Table 1. Pain and PTSS Associated Genes (N = 604
Supplementary Table 1. Pain and PTSS associated genes (n = 604) compiled from three established pain gene databases (PainNetworks,[61] Algynomics,[52] and PainGenes[42]) and one PTSS gene database (PTSDgene[88]). These genes were used in in silico analyses aimed at identifying miRNA that are predicted to preferentially target this list genes vs. a random set of genes (of the same length). ABCC4 ACE2 ACHE ACPP ACSL1 ADAM11 ADAMTS5 ADCY5 ADCYAP1 ADCYAP1R1 ADM ADORA2A ADORA2B ADRA1A ADRA1B ADRA1D ADRA2A ADRA2C ADRB1 ADRB2 ADRB3 ADRBK1 ADRBK2 AGTR2 ALOX12 ANO1 ANO3 APOE APP AQP1 AQP4 ARL5B ARRB1 ARRB2 ASIC1 ASIC2 ATF1 ATF3 ATF6B ATP1A1 ATP1B3 ATP2B1 ATP6V1A ATP6V1B2 ATP6V1G2 AVPR1A AVPR2 BACE1 BAMBI BDKRB2 BDNF BHLHE22 BTG2 CA8 CACNA1A CACNA1B CACNA1C CACNA1E CACNA1G CACNA1H CACNA2D1 CACNA2D2 CACNA2D3 CACNB3 CACNG2 CALB1 CALCRL CALM2 CAMK2A CAMK2B CAMK4 CAT CCK CCKAR CCKBR CCL2 CCL3 CCL4 CCR1 CCR7 CD274 CD38 CD4 CD40 CDH11 CDK5 CDK5R1 CDKN1A CHRM1 CHRM2 CHRM3 CHRM5 CHRNA5 CHRNA7 CHRNB2 CHRNB4 CHUK CLCN6 CLOCK CNGA3 CNR1 COL11A2 COL9A1 COMT COQ10A CPN1 CPS1 CREB1 CRH CRHBP CRHR1 CRHR2 CRIP2 CRYAA CSF2 CSF2RB CSK CSMD1 CSNK1A1 CSNK1E CTSB CTSS CX3CL1 CXCL5 CXCR3 CXCR4 CYBB CYP19A1 CYP2D6 CYP3A4 DAB1 DAO DBH DBI DICER1 DISC1 DLG2 DLG4 DPCR1 DPP4 DRD1 DRD2 DRD3 DRD4 DRGX DTNBP1 DUSP6 ECE2 EDN1 EDNRA EDNRB EFNB1 EFNB2 EGF EGFR EGR1 EGR3 ENPP2 EPB41L2 EPHB1 EPHB2 EPHB3 EPHB4 EPHB6 EPHX2 ERBB2 ERBB4 EREG ESR1 ESR2 ETV1 EZR F2R F2RL1 F2RL2 FAAH FAM19A4 FGF2 FKBP5 FLOT1 FMR1 FOS FOSB FOSL2 FOXN1 FRMPD4 FSTL1 FYN GABARAPL1 GABBR1 GABBR2 GABRA2 GABRA4 -
Identification of Key Genes and Pathways Involved in Response To
Deng et al. Biol Res (2018) 51:25 https://doi.org/10.1186/s40659-018-0174-7 Biological Research RESEARCH ARTICLE Open Access Identifcation of key genes and pathways involved in response to pain in goat and sheep by transcriptome sequencing Xiuling Deng1,2†, Dong Wang3†, Shenyuan Wang1, Haisheng Wang2 and Huanmin Zhou1* Abstract Purpose: This aim of this study was to investigate the key genes and pathways involved in the response to pain in goat and sheep by transcriptome sequencing. Methods: Chronic pain was induced with the injection of the complete Freund’s adjuvant (CFA) in sheep and goats. The animals were divided into four groups: CFA-treated sheep, control sheep, CFA-treated goat, and control goat groups (n 3 in each group). The dorsal root ganglions of these animals were isolated and used for the construction of a cDNA= library and transcriptome sequencing. Diferentially expressed genes (DEGs) were identifed in CFA-induced sheep and goats and gene ontology (GO) enrichment analysis was performed. Results: In total, 1748 and 2441 DEGs were identifed in CFA-treated goat and sheep, respectively. The DEGs identi- fed in CFA-treated goats, such as C-C motif chemokine ligand 27 (CCL27), glutamate receptor 2 (GRIA2), and sodium voltage-gated channel alpha subunit 3 (SCN3A), were mainly enriched in GO functions associated with N-methyl- D-aspartate (NMDA) receptor, infammatory response, and immune response. The DEGs identifed in CFA-treated sheep, such as gamma-aminobutyric acid (GABA)-related DEGs (gamma-aminobutyric acid type A receptor gamma 3 subunit [GABRG3], GABRB2, and GABRB1), SCN9A, and transient receptor potential cation channel subfamily V member 1 (TRPV1), were mainly enriched in GO functions related to neuroactive ligand-receptor interaction, NMDA receptor, and defense response. -
Mouse Glra3 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Glra3 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Glra3 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Glra3 gene (NCBI Reference Sequence: NM_080438 ; Ensembl: ENSMUSG00000038257 ) is located on Mouse chromosome 8. 10 exons are identified, with the ATG start codon in exon 1 and the TAA stop codon in exon 10 (Transcript: ENSMUST00000000275). Exon 3 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Glra3 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP24-365J12 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Homozygous null mice are fertile and display decreased inflammatory pain sensitization without any gross abnormalities in the brain or spinal cord. Exon 3 starts from about 17.22% of the coding region. The knockout of Exon 3 will result in frameshift of the gene. The size of intron 2 for 5'-loxP site insertion: 13863 bp, and the size of intron 3 for 3'-loxP site insertion: 34397 bp. The size of effective cKO region: ~568 bp. The cKO region does not have any other known gene. Page 1 of 7 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 3 10 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Glra3 Homology arm cKO region loxP site Page 2 of 7 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
Stem Cells and Ion Channels
Stem Cells International Stem Cells and Ion Channels Guest Editors: Stefan Liebau, Alexander Kleger, Michael Levin, and Shan Ping Yu Stem Cells and Ion Channels Stem Cells International Stem Cells and Ion Channels Guest Editors: Stefan Liebau, Alexander Kleger, Michael Levin, and Shan Ping Yu Copyright © 2013 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “Stem Cells International.” All articles are open access articles distributed under the Creative Com- mons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Editorial Board Nadire N. Ali, UK Joseph Itskovitz-Eldor, Israel Pranela Rameshwar, USA Anthony Atala, USA Pavla Jendelova, Czech Republic Hannele T. Ruohola-Baker, USA Nissim Benvenisty, Israel Arne Jensen, Germany D. S. Sakaguchi, USA Kenneth Boheler, USA Sue Kimber, UK Paul R. Sanberg, USA Dominique Bonnet, UK Mark D. Kirk, USA Paul T. Sharpe, UK B. Bunnell, USA Gary E. Lyons, USA Ashok Shetty, USA Kevin D. Bunting, USA Athanasios Mantalaris, UK Igor Slukvin, USA Richard K. Burt, USA Pilar Martin-Duque, Spain Ann Steele, USA Gerald A. Colvin, USA EvaMezey,USA Alexander Storch, Germany Stephen Dalton, USA Karim Nayernia, UK Marc Turner, UK Leonard M. Eisenberg, USA K. Sue O’Shea, USA Su-Chun Zhang, USA Marina Emborg, USA J. Parent, USA Weian Zhao, USA Josef Fulka, Czech Republic Bruno Peault, USA Joel C. Glover, Norway Stefan Przyborski, UK Contents Stem Cells and Ion Channels, Stefan Liebau, -
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. -
Loss of Central Inhibition: Implications for Behavioral Hypersensitivity After Contusive Spinal Cord Injury in Rats Yerko A
Florida International University FIU Digital Commons HWCOM Faculty Publications Herbert Wertheim College of Medicine 8-10-2014 Loss of Central Inhibition: Implications for Behavioral Hypersensitivity after Contusive Spinal Cord Injury in Rats Yerko A. Berrocal Herbert Wertheim College of Medicine, Florida International University; The Miami Project to Cure Paralysis, [email protected] Vania W. Almeida The Miami Project to Cure Paralysis, The University of Miami Miller School of Medicine Rocio Puentes The Miami Project to Cure Paralysis, The University of Miami Miller School of Medicine Eric P. Knott Herbert Wertheim College of Medicine, Florida International University; The Miami Project to Cure Paralysis, [email protected] Jaclyn F. Hechtman The Miami Project to Cure Paralysis, The University of Miami Miller School of Medicine ThiSee nesx wt porkage for is add licietionnsael adu tundehors r a Creative Commons Attribution 3.0 License. Follow this and additional works at: https://digitalcommons.fiu.edu/com_facpub Part of the Medicine and Health Sciences Commons Recommended Citation Yerko A. Berrocal, Vania W. Almeida, Rocio Puentes, et al., “Loss of Central Inhibition: Implications for Behavioral Hypersensitivity after Contusive Spinal Cord Injury in Rats,” Pain Research and Treatment, vol. 2014, Article ID 178278, 11 pages, 2014. doi:10.1155/ 2014/178278 This work is brought to you for free and open access by the Herbert Wertheim College of Medicine at FIU Digital Commons. It has been accepted for inclusion in HWCOM Faculty Publications by an authorized administrator of FIU Digital Commons. For more information, please contact [email protected]. Authors Yerko A. Berrocal, Vania W. Almeida, Rocio Puentes, Eric P. -
Glycine Receptor Α3 and Α2 Subunits Mediate Tonic and Exogenous Agonist-Induced Currents in Forebrain
Glycine receptor α3 and α2 subunits mediate tonic and PNAS PLUS exogenous agonist-induced currents in forebrain Lindsay M. McCrackena,1, Daniel C. Lowesb,1, Michael C. Sallinga, Cyndel Carreau-Vollmera, Naomi N. Odeana, Yuri A. Blednovc, Heinrich Betzd, R. Adron Harrisc, and Neil L. Harrisona,b,2 aDepartment of Anesthesiology, Columbia University College of Physicians and Surgeons, New York, NY 10032; bDepartment of Pharmacology, Columbia University College of Physicians and Surgeons, New York, NY 10032; cThe Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX 78712; and dMax Planck Institute for Medical Research, 69120 Heidelberg, Germany Edited by Solomon H. Snyder, Johns Hopkins University School of Medicine, Baltimore, MD, and approved July 17, 2017 (received for review March 14, 2017) Neuronal inhibition can occur via synaptic mechanisms or through Synaptic GlyRs are heteropentamers consisting of different α tonic activation of extrasynaptic receptors. In spinal cord, glycine subunits (α1–α4) coassembled with the β subunit (28), which is mediates synaptic inhibition through the activation of heteromeric obligatory for synaptic localization due to its tight interaction glycine receptors (GlyRs) composed primarily of α1andβ subunits. with the anchoring protein gephyrin (29). GlyR α subunits exist Inhibitory GlyRs are also found throughout the brain, where GlyR in many higher brain regions (30) and may include populations α2andα3 subunit expression exceeds that of α1, particularly in of homopentameric GlyRs expressed in the absence of β subunits forebrain structures, and coassembly of these α subunits with the (31, 32). β subunit appears to occur to a lesser extent than in spinal cord. -
Structural Analysis of Pathogenic Missense Mutations in GABRA2 and Identification of a Novel De Novo Variant in the Desensitization Gate
Received: 22 October 2019 | Revised: 29 November 2019 | Accepted: 10 December 2019 DOI: 10.1002/mgg3.1106 ORIGINAL ARTICLE Structural analysis of pathogenic missense mutations in GABRA2 and identification of a novel de novo variant in the desensitization gate Alba Sanchis-Juan1,2 | Marcia A. Hasenahuer3,4 | James A. Baker3 | Amy McTague5 | Katy Barwick5 | Manju A. Kurian5 | Sofia T. Duarte6 | NIHR BioResource | Keren J. Carss1,2 | Janet Thornton3 | F. Lucy Raymond2,4 1Department of Haematology, University of Cambridge, NHS Blood and Transplant Abstract Centre, Cambridge, UK Background: Cys-loop receptors control neuronal excitability in the brain and their 2NIHR BioResource, Cambridge dysfunction results in numerous neurological disorders. Recently, six missense vari- University Hospitals NHS Foundation ants in GABRA2, a member of this family, have been associated with early infantile Trust, Cambridge Biomedical Campus, Cambridge, UK epileptic encephalopathy (EIEE). We identified a novel de novo missense variant 3European Molecular Biology Laboratory, in GABRA2 in a patient with EIEE and performed protein structural analysis of the European Bioinformatics Institute, seven variants. Wellcome Genome Campus, Hinxton, . Cambridge, UK Methods: The novel variant was identified by trio whole-genome sequencing We 4Department of Medical Genetics, performed protein structural analysis of the seven variants, and compared them to Cambridge Institute for Medical Research, previously reported pathogenic mutations at equivalent positions in other Cys-loop University of Cambridge, Cambridge, UK receptors. Additionally, we studied the distribution of disease-associated variants in 5Developmental Neurosciences, Great the transmembrane helices of these proteins. Ormond Street Institute of Child Health, University College London, London, UK Results: The seven variants are in the transmembrane domain, either close to the de- 6Hospital Dona Estefânia, Centro Hospitalar sensitization gate, the activation gate, or in inter-subunit interfaces. -
Novel Missense Mutations in the Glycine Receptor Β Subunit Gene (GLRB) in Startle Disease
*Manuscript Click here to view linked References Novel missense mutations in the glycine receptor β subunit gene (GLRB) in startle disease Victoria M. Jamesa,bº, Anna Bodecº, Seo-Kyung Chungd,e, Jennifer L. Gilla, Maartje Nielsenf, Frances M. Cowang, Mihailo Vujicg, Rhys H. Thomasd,e, Mark I. Reesd,e, Kirsten Harveya, Angelo Keramidasc, Maya Topfb, Ieke Ginjaarf, Joseph W. Lynchc,i and Robert J. Harveya* aDepartment of Pharmacology, UCL School of Pharmacy, 29-39 Brunswick Square, London WC1N 1AX, United Kingdom; bInstitute for Structural and Molecular Biology, Department of Biological Sciences, Birkbeck College, London WC1E 7HX, United Kingdom; cQueensland Brain Institute, The University of Queensland, Brisbane, QLD 4072 Australia; dInstitute of Life Science, College of Medicine, Swansea University, Swansea SA2 8PP, United Kingdom; eWales Epilepsy Research Network, College of Medicine, Swansea University, Swansea SA2 8PP, United Kingdom; fCenter for Human and Clinical Genetics, Leiden University Medical Center, Einthovenweg 20, 2333 ZC Leiden, The Netherlands; gDepartment of Paediatrics, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0HS, United Kingdom; hDepartment of Clinical Genetics, Sahlgrenska University Hospital, SE- 41345, Gothenburg, Sweden; iSchool of Biomedical Sciences, The University of Queensland, Brisbane, QLD 4072, Australia. Short title: GlyR β subunit mutations in startle disease ºThese authors contributed equally to this work *Corresponding author: Robert J Harvey, Department of Pharmacology, UCL School of Pharmacy, 29-39 Brunswick Square, London WC1N 1AX, UK. Telephone: +44 207 753 5930; E-mail: [email protected] 1 Abstract Startle disease is a rare, potentially fatal neuromotor disorder characterized by exaggerated startle reflexes and hypertonia in response to sudden unexpected auditory, visual or tactile stimuli.