Differential Co-Assembly of Α1-Gabaars Associated with Epileptic Encephalopathy
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Supplementary Table 6
Supplementary Table S6: Increased expression of genes regulating synaptic signal transduction in the cancerous prostate of nicotine‐treated TRAMP mice SAM‐based analysis comparing gene expression in the cancerous prostate of nicotine‐treated versus untreated animals (reference group) Gene Name Gene ID Gene Name Fold Change FDR or q‐value(%) amphiphysin 10403796 Amph 2.605910617 10.5 ankyrin repeat and sterile alpha motif domain containing 1B 10365682 Anks1b 2.223828912 11.6 bassoon 10596880 Bsn 1.621655534 9.3 cerebellin 1 precursor protein; similar to precerebellin‐1 10580469 Cbln1 1.896906804 14.1 cholinergic receptor, nicotinic, alpha polypeptide 4 10490559 Chrna4 1.710195671 18.7 cholinergic receptor, nicotinic, beta polypeptide 2 (neuronal) 10499643 Chrnb2 2.151887416 8.9 cytoplasmic FMR1 interacting protein 2 10385391 Cyfip2 1.849650381 15.2 Fas apoptotic inhibitory molecule 2 10432492 Faim2 1.698617007 11.3 gamma‐aminobutyric acid (GABA) B receptor, 2; similar to ortholog of human G protein‐coupled receptor 51 GPR51 10512807 Gabbr2 1.553464421 20.6 gamma‐aminobutyric acid (GABA) A receptor, subunit alpha 2; similar to Gamma‐aminobutyric‐acid receptor subunit alpha‐2 precursor (GABA(A) receptor subunit alpha‐2) 10530406 Gabra2 1.501235592 25 gamma‐aminobutyric acid (GABA) A receptor, subunit beta 1 10522324 Gabrb1 1.729684369 11.6 gamma‐aminobutyric acid (GABA) A receptor, subunit beta 3 10553773 Gabrb3 3.07055831 10.9 gamma‐aminobutyric acid (GABA) A receptor, subunit gamma 2 10385283 Gabrg2 1.736988738 14.1 gamma‐aminobutyric acid -
Structural Basis for Potentiation by Alcohols and Anaesthetics in a Ligand-Gated Ion Channel
ARTICLE Received 10 Jul 2012 | Accepted 28 Feb 2013 | Published 16 Apr 2013 DOI: 10.1038/ncomms2682 Structural basis for potentiation by alcohols and anaesthetics in a ligand-gated ion channel Ludovic Sauguet1,2,3,4,*, Rebecca J. Howard5,w,*, Laurie Malherbe1,2,3,4,UiS.Lee5, Pierre-Jean Corringer3,4, R. Adron Harris5 & Marc Delarue1,2 Ethanol alters nerve signalling by interacting with proteins in the central nervous system, particularly pentameric ligand-gated ion channels. A recent series of mutagenesis experi- ments on Gloeobacter violaceus ligand-gated ion channel, a prokaryotic member of this family, identified a single-site variant that is potentiated by pharmacologically relevant concentra- tions of ethanol. Here we determine crystal structures of the ethanol-sensitized variant in the absence and presence of ethanol and related modulators, which bind in a transmembrane cavity between channel subunits and may stabilize the open form of the channel. Structural and mutagenesis studies defined overlapping mechanisms of potentiation by alcohols and anaesthetics via the inter-subunit cavity. Furthermore, homology modelling show this cavity to be conserved in human ethanol-sensitive glycine and GABA(A) receptors, and to involve residues previously shown to influence alcohol and anaesthetic action on these proteins. These results suggest a common structural basis for ethanol potentiation of an important class of targets for neurological actions of ethanol. 1 Unite´ de Dynamique Structurale des Macromole´cules, Institut Pasteur, F-75015 Paris, France. 2 UMR 3258, Centre National de la Recherche Scientifique, F-75015 Paris, France. 3 Groupe Re´cepteurs-Canaux, Institut Pasteur, F-75015 Paris, France. 4 Unite´ de Recherche Associe´e 2182, Centre National de la Recherche Scientifique, F-75015 Paris, France. -
GABA Receptors
D Reviews • BIOTREND Reviews • BIOTREND Reviews • BIOTREND Reviews • BIOTREND Reviews Review No.7 / 1-2011 GABA receptors Wolfgang Froestl , CNS & Chemistry Expert, AC Immune SA, PSE Building B - EPFL, CH-1015 Lausanne, Phone: +41 21 693 91 43, FAX: +41 21 693 91 20, E-mail: [email protected] GABA Activation of the GABA A receptor leads to an influx of chloride GABA ( -aminobutyric acid; Figure 1) is the most important and ions and to a hyperpolarization of the membrane. 16 subunits with γ most abundant inhibitory neurotransmitter in the mammalian molecular weights between 50 and 65 kD have been identified brain 1,2 , where it was first discovered in 1950 3-5 . It is a small achiral so far, 6 subunits, 3 subunits, 3 subunits, and the , , α β γ δ ε θ molecule with molecular weight of 103 g/mol and high water solu - and subunits 8,9 . π bility. At 25°C one gram of water can dissolve 1.3 grams of GABA. 2 Such a hydrophilic molecule (log P = -2.13, PSA = 63.3 Å ) cannot In the meantime all GABA A receptor binding sites have been eluci - cross the blood brain barrier. It is produced in the brain by decarb- dated in great detail. The GABA site is located at the interface oxylation of L-glutamic acid by the enzyme glutamic acid decarb- between and subunits. Benzodiazepines interact with subunit α β oxylase (GAD, EC 4.1.1.15). It is a neutral amino acid with pK = combinations ( ) ( ) , which is the most abundant combi - 1 α1 2 β2 2 γ2 4.23 and pK = 10.43. -
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. -
Download Download
Supplementary Figure S1. Results of flow cytometry analysis, performed to estimate CD34 positivity, after immunomagnetic separation in two different experiments. As monoclonal antibody for labeling the sample, the fluorescein isothiocyanate (FITC)- conjugated mouse anti-human CD34 MoAb (Mylteni) was used. Briefly, cell samples were incubated in the presence of the indicated MoAbs, at the proper dilution, in PBS containing 5% FCS and 1% Fc receptor (FcR) blocking reagent (Miltenyi) for 30 min at 4 C. Cells were then washed twice, resuspended with PBS and analyzed by a Coulter Epics XL (Coulter Electronics Inc., Hialeah, FL, USA) flow cytometer. only use Non-commercial 1 Supplementary Table S1. Complete list of the datasets used in this study and their sources. GEO Total samples Geo selected GEO accession of used Platform Reference series in series samples samples GSM142565 GSM142566 GSM142567 GSM142568 GSE6146 HG-U133A 14 8 - GSM142569 GSM142571 GSM142572 GSM142574 GSM51391 GSM51392 GSE2666 HG-U133A 36 4 1 GSM51393 GSM51394 only GSM321583 GSE12803 HG-U133A 20 3 GSM321584 2 GSM321585 use Promyelocytes_1 Promyelocytes_2 Promyelocytes_3 Promyelocytes_4 HG-U133A 8 8 3 GSE64282 Promyelocytes_5 Promyelocytes_6 Promyelocytes_7 Promyelocytes_8 Non-commercial 2 Supplementary Table S2. Chromosomal regions up-regulated in CD34+ samples as identified by the LAP procedure with the two-class statistics coded in the PREDA R package and an FDR threshold of 0.5. Functional enrichment analysis has been performed using DAVID (http://david.abcc.ncifcrf.gov/) -
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. -
Exome Sequencing Implicates Impaired GABA Signaling and Neuronal Ion Transport in Trigeminal Neuralgia
Washington University School of Medicine Digital Commons@Becker Open Access Publications 10-23-2020 Exome sequencing implicates impaired GABA signaling and neuronal ion transport in trigeminal neuralgia Weilai Dong Yale University Sheng Chih Jin Washington University School of Medicine in St. Louis et al Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Dong, Weilai; Jin, Sheng Chih; and et al, ,"Exome sequencing implicates impaired GABA signaling and neuronal ion transport in trigeminal neuralgia." iScience.,. (2020). https://digitalcommons.wustl.edu/open_access_pubs/9687 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. iScience ll OPEN ACCESS Article Exome Sequencing Implicates Impaired GABA Signaling and Neuronal Ion Transport in Trigeminal Neuralgia Weilai Dong, Sheng Chih Jin, August Allocco, ..., Yves De Koninck, Richard P. Lifton, Kristopher T. Kahle [email protected] HIGHLIGHTS Genomic analysis of trigeminal neuralgia (TN) using exome sequencing Rare mutations in GABA signaling and ion transport genes are enriched in TN cases Generation of a genetic TN mouse model engineered with a patient- specific mutation Dong et al., iScience 23, 101552 October 23, 2020 ª 2020 The Authors. https://doi.org/10.1016/ j.isci.2020.101552 iScience ll OPEN ACCESS Article Exome Sequencing Implicates Impaired GABA Signaling and Neuronal Ion Transport in Trigeminal Neuralgia Weilai Dong,1,2,27 Sheng Chih Jin,3,27 August Allocco,4,27 Xue Zeng,1,2,27 Amar H. -
Gabaergic Signaling Linked to Autophagy Enhances Host Protection Against Intracellular Bacterial Infections
ARTICLE DOI: 10.1038/s41467-018-06487-5 OPEN GABAergic signaling linked to autophagy enhances host protection against intracellular bacterial infections Jin Kyung Kim1,2,3, Yi Sak Kim1,2,3, Hye-Mi Lee1,3, Hyo Sun Jin4, Chiranjivi Neupane 2,5, Sup Kim1,2,3, Sang-Hee Lee6, Jung-Joon Min7, Miwa Sasai8, Jae-Ho Jeong 9,10, Seong-Kyu Choe11, Jin-Man Kim12, Masahiro Yamamoto8, Hyon E. Choy 9,10, Jin Bong Park 2,5 & Eun-Kyeong Jo1,2,3 1234567890():,; Gamma-aminobutyric acid (GABA) is the principal inhibitory neurotransmitter in the brain; however, the roles of GABA in antimicrobial host defenses are largely unknown. Here we demonstrate that GABAergic activation enhances antimicrobial responses against intracel- lular bacterial infection. Intracellular bacterial infection decreases GABA levels in vitro in macrophages and in vivo in sera. Treatment of macrophages with GABA or GABAergic drugs promotes autophagy activation, enhances phagosomal maturation and antimicrobial responses against mycobacterial infection. In macrophages, the GABAergic defense is mediated via macrophage type A GABA receptor (GABAAR), intracellular calcium release, and the GABA type A receptor-associated protein-like 1 (GABARAPL1; an Atg8 homolog). Finally, GABAergic inhibition increases bacterial loads in mice and zebrafish in vivo, sug- gesting that the GABAergic defense plays an essential function in metazoan host defenses. Our study identified a previously unappreciated role for GABAergic signaling in linking antibacterial autophagy to enhance host innate defense against intracellular bacterial infection. 1 Department of Microbiology, Chungnam National University School of Medicine, Daejeon 35015, Korea. 2 Department of Medical Science, Chungnam National University School of Medicine, Daejeon 35015, Korea. -
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. -
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. -
Identification of Candidate Genes and Pathways Associated with Obesity
animals Article Identification of Candidate Genes and Pathways Associated with Obesity-Related Traits in Canines via Gene-Set Enrichment and Pathway-Based GWAS Analysis Sunirmal Sheet y, Srikanth Krishnamoorthy y , Jihye Cha, Soyoung Choi and Bong-Hwan Choi * Animal Genome & Bioinformatics, National Institute of Animal Science, RDA, Wanju 55365, Korea; [email protected] (S.S.); [email protected] (S.K.); [email protected] (J.C.); [email protected] (S.C.) * Correspondence: [email protected]; Tel.: +82-10-8143-5164 These authors contributed equally. y Received: 10 October 2020; Accepted: 6 November 2020; Published: 9 November 2020 Simple Summary: Obesity is a serious health issue and is increasing at an alarming rate in several dog breeds, but there is limited information on the genetic mechanism underlying it. Moreover, there have been very few reports on genetic markers associated with canine obesity. These studies were limited to the use of a single breed in the association study. In this study, we have performed a GWAS and supplemented it with gene-set enrichment and pathway-based analyses to identify causative loci and genes associated with canine obesity in 18 different dog breeds. From the GWAS, the significant markers associated with obesity-related traits including body weight (CACNA1B, C22orf39, U6, MYH14, PTPN2, SEH1L) and blood sugar (PRSS55, GRIK2), were identified. Furthermore, the gene-set enrichment and pathway-based analysis (GESA) highlighted five enriched pathways (Wnt signaling pathway, adherens junction, pathways in cancer, axon guidance, and insulin secretion) and seven GO terms (fat cell differentiation, calcium ion binding, cytoplasm, nucleus, phospholipid transport, central nervous system development, and cell surface) which were found to be shared among all the traits. -
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,