Chloride Homeostasis in Neurons with Special Emphasis on the Olivocerebellar System: Differential Roles for Transporters and Channels
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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. -
And Mir183 in Mir183/96 Dko Mutant Mice (Top) And
Supplementary Information Appendix Figure S1. Expression of Mir96 , Mir182 and Mir183 in Mir183/96 dko mutant mice (top) and Mir182 ko mutant mice (bottom), relative to Mir99a , which is expressed in cochlear sensory epithelium. Homozygote (red; right bars) and heterozygote (blue; middle bars) expression levels have been normalised to expression in the wildtype (green; left bars). Mir183/96 dko : wildtype n=7, heterozygote n=5, homozygote n=6. Mir182 ko : wildtype n=4, heterozygote n=4, homozygote n=4. Error bars are standard deviation (* = P < 0.05, ** = P < 0.01). All p-values were calculated using the Wilcoxon rank sum test. For Mir183/96 dko heterozygotes, Mir96 p=0.002525; Mir182 p=0.6389; Mir183 p=0.002525. For Mir183/96 dko homozygotes, Mir96 p=0.002067; Mir182 p=0.1014; Mir183 p=0.002067. For Mir182 ko heterozygotes, Mir96 p=0.05714; Mir182 p=0.3429; Mir183 p=0.3429. For Mir182 ko homozygotes, Mir96 p=1; Mir182 p=0.02652; Mir183 p=0.05714. 67 68 Appendix Figure S2. Individual ABR thresholds of wildtype, heterozygous and homozygous Mir183/96 dko mice at all ages tested. Number of mice of each genotype tested at each age is shown on the threshold plot. 69 70 Appendix Figure S3. Individual ABR thresholds of wildtype, heterozygous and homozygous Mir182 ko mice at all ages tested. Number of mice of each genotype tested at each age is shown on the threshold plot. 71 Appendix Figure S4. Mean ABR waveforms at 12kHz, shown at 20dB (top) and 50dB (bottom) above threshold (sensation level, SL) ± standard deviation, at four weeks old. -
9-Azido Analogs of Three Sialic Acid Forms for Metabolic Remodeling Of
Supporting Information 9-Azido Analogs of Three Sialic Acid Forms for Metabolic Remodeling of Cell-Surface Sialoglycans Bo Cheng,†,‡ Lu Dong,†,§ Yuntao Zhu,†,‡ Rongbing Huang,†,‡ Yuting Sun,†,‖ Qiancheng You,†,‡ Qitao Song,†,§ James C. Paton, ∇ Adrienne W. Paton,∇ and Xing Chen*,†,‡,§,⊥,# †College of Chemistry and Molecular Engineering, ‡Beijing National Laboratory for Molecular Sciences, §Peking−Tsinghua Center for Life Sciences,‖Academy for Advanced Interdisciplinary Studies, ⊥Synthetic and Functional Biomolecules Center, and #Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Peking University, Beijing 100871, China ∇Research Centre for Infectious Diseases, Department of Molecular and Biomedical Science, University of Adelaide, Adelaide SA 5005, Australia Page S1 Table of Contents: Scheme S1.……………………………………………………….........……………. S3 Figure S1……………………………………………………..………..……………. S3 Figure S2……………………………………………………..………..…………… S4 Figure S3……………………………………………………..………..…………… S4 Figure S4……………………………………………………..………..…………… S5 Figure S5……………………………………………………..………..…………… S6 Figure S6……………………………………………………..………..…………….S7 Figure S7……………………………………………………..………..…………….S8 Figure S8……………………………………………………..………..…………….S9 Experimental Procedures……………………………….…........…………....S10-S27 Table S1………………………………………………..………..…………….S28-S48 Supporting Reference……………………………………………….......………...S49 Page S2 Scheme S1. Synthesis of 9AzNeu5Gc Figure S1: a, b, c, d) Representative scatter plots (FSC vs. SSC) and histograms of flow cytometry analysis -
Supplementary Material
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Page 1 / 45 SUPPLEMENTARY MATERIAL Appendix A1: Neuropsychological protocol. Appendix A2: Description of the four cases at the transitional stage. Table A1: Clinical status and center proportion in each batch. Table A2: Complete output from EdgeR. Table A3: List of the putative target genes. Table A4: Complete output from DIANA-miRPath v.3. Table A5: Comparison of studies investigating miRNAs from brain samples. Figure A1: Stratified nested cross-validation. Figure A2: Expression heatmap of miRNA signature. Figure A3: Bootstrapped ROC AUC scores. Figure A4: ROC AUC scores with 100 different fold splits. Figure A5: Presymptomatic subjects probability scores. Figure A6: Heatmap of the level of enrichment in KEGG pathways. Kmetzsch V, et al. J Neurol Neurosurg Psychiatry 2021; 92:485–493. doi: 10.1136/jnnp-2020-324647 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Appendix A1. Neuropsychological protocol The PREV-DEMALS cognitive evaluation included standardized neuropsychological tests to investigate all cognitive domains, and in particular frontal lobe functions. The scores were provided previously (Bertrand et al., 2018). Briefly, global cognitive efficiency was evaluated by means of Mini-Mental State Examination (MMSE) and Mattis Dementia Rating Scale (MDRS). Frontal executive functions were assessed with Frontal Assessment Battery (FAB), forward and backward digit spans, Trail Making Test part A and B (TMT-A and TMT-B), Wisconsin Card Sorting Test (WCST), and Symbol-Digit Modalities test. -
The Genetic Landscape of the Human Solute Carrier (SLC) Transporter Superfamily
Human Genetics (2019) 138:1359–1377 https://doi.org/10.1007/s00439-019-02081-x ORIGINAL INVESTIGATION The genetic landscape of the human solute carrier (SLC) transporter superfamily Lena Schaller1 · Volker M. Lauschke1 Received: 4 August 2019 / Accepted: 26 October 2019 / Published online: 2 November 2019 © The Author(s) 2019 Abstract The human solute carrier (SLC) superfamily of transporters is comprised of over 400 membrane-bound proteins, and plays essential roles in a multitude of physiological and pharmacological processes. In addition, perturbation of SLC transporter function underlies numerous human diseases, which renders SLC transporters attractive drug targets. Common genetic polymorphisms in SLC genes have been associated with inter-individual diferences in drug efcacy and toxicity. However, despite their tremendous clinical relevance, epidemiological data of these variants are mostly derived from heterogeneous cohorts of small sample size and the genetic SLC landscape beyond these common variants has not been comprehensively assessed. In this study, we analyzed Next-Generation Sequencing data from 141,456 individuals from seven major human populations to evaluate genetic variability, its functional consequences, and ethnogeographic patterns across the entire SLC superfamily of transporters. Importantly, of the 204,287 exonic single-nucleotide variants (SNVs) which we identifed, 99.8% were present in less than 1% of analyzed alleles. Comprehensive computational analyses using 13 partially orthogonal algorithms that predict the functional impact of genetic variations based on sequence information, evolutionary conserva- tion, structural considerations, and functional genomics data revealed that each individual genome harbors 29.7 variants with putative functional efects, of which rare variants account for 18%. Inter-ethnic variability was found to be extensive, and 83% of deleterious SLC variants were only identifed in a single population. -
Characterization of the Ion Transporter NKCC1 in the Field of Chemosensation
Characterization of the Ion Transporter NKCC1 in the Field of Chemosensation Dissertation to obtain the degree Doctor Rerum Naturalium (Dr.rer.nat.) at the Faculty of Biology and Biotechnology Ruhr-University Bochum International Graduate School of Biosciences Ruhr-University Bochum (Department of Cellphysiology) submitted by Claudia Haering from Dortmund, Germany Bochum (April, 2015) First Referee: Prof. Dr. Dr. Dr. Hatt Second Referee: Prof. Dr. Wiese Charakterisierung des Ionentransporters NKCC1 in der Chemosensorik Dissertation zur Erlangung des Grades eines Doktors der Naturwissenschaften der Fakultät Biologie und Biotechnologie an der Internationalen Graduiertenschule Biowissenschaften der Ruhr-Universität Bochum angefertigt im Lehrstuhl für Zellphysiologie vorgelegt von Claudia Haering aus Dortmund, Deutschland Bochum (April, 2015) Referent: Prof. Dr. Dr. Dr. Hatt Korreferent: Prof. Dr. Wiese ERKLÄRUNG Hiermit erkläre ich, dass ich die Arbeit selbständig verfasst und bei keiner anderen Fakultät eingereicht und dass ich keine anderen als die angegebenen Hilfsmittel verwendet habe. Es handelt sich bei der heute von mir eingereichten Dissertation um sechs in Wort und Bild völlig übereinstimmende Exemplare. Weiterhin erkläre ich, dass digitale Abbildungen nur die originalen Daten enthalten und in keinem Fall inhaltsverändernde Bildbearbeitung vorgenommen wurde. Bochum, den (Claudia Haering) Table of contents 1. Introduction __________________________________________________________ 1 1.1 General introduction - Olfaction_________________________________________ -
Epistasis-Driven Identification of SLC25A51 As a Regulator of Human
ARTICLE https://doi.org/10.1038/s41467-020-19871-x OPEN Epistasis-driven identification of SLC25A51 as a regulator of human mitochondrial NAD import Enrico Girardi 1, Gennaro Agrimi 2, Ulrich Goldmann 1, Giuseppe Fiume1, Sabrina Lindinger1, Vitaly Sedlyarov1, Ismet Srndic1, Bettina Gürtl1, Benedikt Agerer 1, Felix Kartnig1, Pasquale Scarcia 2, Maria Antonietta Di Noia2, Eva Liñeiro1, Manuele Rebsamen1, Tabea Wiedmer 1, Andreas Bergthaler1, ✉ Luigi Palmieri2,3 & Giulio Superti-Furga 1,4 1234567890():,; About a thousand genes in the human genome encode for membrane transporters. Among these, several solute carrier proteins (SLCs), representing the largest group of transporters, are still orphan and lack functional characterization. We reasoned that assessing genetic interactions among SLCs may be an efficient way to obtain functional information allowing their deorphanization. Here we describe a network of strong genetic interactions indicating a contribution to mitochondrial respiration and redox metabolism for SLC25A51/MCART1, an uncharacterized member of the SLC25 family of transporters. Through a combination of metabolomics, genomics and genetics approaches, we demonstrate a role for SLC25A51 as enabler of mitochondrial import of NAD, showcasing the potential of genetic interaction- driven functional gene deorphanization. 1 CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria. 2 Laboratory of Biochemistry and Molecular Biology, Department of Biosciences, Biotechnologies and Biopharmaceutics, -
Nephritis Responses in Murine and Human Lupus Analysis Defines
Downloaded from http://www.jimmunol.org/ by guest on October 2, 2021 is online at: average * The Journal of Immunology , 24 of which you can access for free at: 2012; 189:988-1001; Prepublished online 20 June from submission to initial decision 4 weeks from acceptance to publication Celine C. Berthier, Ramalingam Bethunaickan, Tania Gonzalez-Rivera, Viji Nair, Meera Ramanujam, Weijia Zhang, Erwin P. Bottinger, Stephan Segerer, Maja Lindenmeyer, Clemens D. Cohen, Anne Davidson and Matthias Kretzler 2012; doi: 10.4049/jimmunol.1103031 http://www.jimmunol.org/content/189/2/988 Cross-Species Transcriptional Network Analysis Defines Shared Inflammatory Responses in Murine and Human Lupus Nephritis J Immunol cites 60 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://www.jimmunol.org/content/189/2/988.full#ref-list-1 http://www.jimmunol.org/content/suppl/2012/06/20/jimmunol.110303 1.DC1 This article Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of October 2, 2021. The Journal of Immunology Cross-Species Transcriptional Network Analysis Defines Shared Inflammatory Responses in Murine and Human Lupus Nephritis Celine C. -
The Genetics of Bipolar Disorder
Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF. -
SLC12A6 Gene Solute Carrier Family 12 Member 6
SLC12A6 gene solute carrier family 12 member 6 Normal Function The SLC12A6 gene provides instructions for making a protein called a K-Cl cotransporter. This protein is involved in moving charged atoms (ions) of potassium (K) and chlorine (Cl) across the cell membrane. The positively charged potassium ions and negatively charged chlorine ions are moved together (cotransported), so that the charges inside and outside the cell membrane are unchanged (electroneutral). Electroneutral cotransport of ions across cell membranes is involved in many functions of the body. While the specific function of the K-Cl cotransporter produced from the SLC12A6 gene is unknown, it seems to be critical for the development and maintenance of nerve tissue. It may be involved in regulating the amounts of potassium, chlorine, or water in cells and intercellular spaces. The K-Cl cotransporter protein may also help regulate the activity of other proteins that are sensitive to ion concentrations. Health Conditions Related to Genetic Changes Andermann syndrome At least six SLC12A6 gene mutations have been identified in people with Andermann syndrome. Almost all affected individuals of French-Canadian descent have the same mutation in both copies of the SLC12A6 gene, in which the DNA building block ( nucleotide) guanine is deleted at position 2436 (written as 2436delG). This mutation is common in the populations of the Saguenay-Lac-St.-Jean and Charlevoix regions of northeastern Quebec. Most SLC12A6 gene mutations that cause Andermann syndrome result in a K-Cl cotransporter protein that is shortened and nonfunctional. The lack of functional protein produced from the SLC12A6 gene is believed to interfere with the development of the corpus callosum and maintenance of the nerves that transmit signals needed for movement and sensation, resulting in the signs and symptoms of Andermann syndrome. -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7 -
Genetic Background of Ataxia in Children Younger Than 5 Years in Finland E444
Volume 6, Number 4, August 2020 Neurology.org/NG A peer-reviewed clinical and translational neurology open access journal ARTICLE Genetic background of ataxia in children younger than 5 years in Finland e444 ARTICLE Cerebral arteriopathy associated with heterozygous variants in the casitas B-lineage lymphoma gene e448 ARTICLE Somatic SLC35A2 mosaicism correlates with clinical fi ndings in epilepsy brain tissuee460 ARTICLE Synonymous variants associated with Alzheimer disease in multiplex families e450 Academy Officers Neurology® is a registered trademark of the American Academy of Neurology (registration valid in the United States). James C. Stevens, MD, FAAN, President Neurology® Genetics (eISSN 2376-7839) is an open access journal published Orly Avitzur, MD, MBA, FAAN, President Elect online for the American Academy of Neurology, 201 Chicago Avenue, Ann H. Tilton, MD, FAAN, Vice President Minneapolis, MN 55415, by Wolters Kluwer Health, Inc. at 14700 Citicorp Drive, Bldg. 3, Hagerstown, MD 21742. Business offices are located at Two Carlayne E. Jackson, MD, FAAN, Secretary Commerce Square, 2001 Market Street, Philadelphia, PA 19103. Production offices are located at 351 West Camden Street, Baltimore, MD 21201-2436. Janis M. Miyasaki, MD, MEd, FRCPC, FAAN, Treasurer © 2020 American Academy of Neurology. Ralph L. Sacco, MD, MS, FAAN, Past President Neurology® Genetics is an official journal of the American Academy of Neurology. Journal website: Neurology.org/ng, AAN website: AAN.com CEO, American Academy of Neurology Copyright and Permission Information: Please go to the journal website (www.neurology.org/ng) and click the Permissions tab for the relevant Mary E. Post, MBA, CAE article. Alternatively, send an email to [email protected].