Role of Genetic Polymorphisms of Ion Channels in the Pathophysiology of Coronary Microvascular Dysfunction and Ischemic Heart Disease
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The Mineralocorticoid Receptor Leads to Increased Expression of EGFR
www.nature.com/scientificreports OPEN The mineralocorticoid receptor leads to increased expression of EGFR and T‑type calcium channels that support HL‑1 cell hypertrophy Katharina Stroedecke1,2, Sandra Meinel1,2, Fritz Markwardt1, Udo Kloeckner1, Nicole Straetz1, Katja Quarch1, Barbara Schreier1, Michael Kopf1, Michael Gekle1 & Claudia Grossmann1* The EGF receptor (EGFR) has been extensively studied in tumor biology and recently a role in cardiovascular pathophysiology was suggested. The mineralocorticoid receptor (MR) is an important efector of the renin–angiotensin–aldosterone‑system and elicits pathophysiological efects in the cardiovascular system; however, the underlying molecular mechanisms are unclear. Our aim was to investigate the importance of EGFR for MR‑mediated cardiovascular pathophysiology because MR is known to induce EGFR expression. We identifed a SNP within the EGFR promoter that modulates MR‑induced EGFR expression. In RNA‑sequencing and qPCR experiments in heart tissue of EGFR KO and WT mice, changes in EGFR abundance led to diferential expression of cardiac ion channels, especially of the T‑type calcium channel CACNA1H. Accordingly, CACNA1H expression was increased in WT mice after in vivo MR activation by aldosterone but not in respective EGFR KO mice. Aldosterone‑ and EGF‑responsiveness of CACNA1H expression was confrmed in HL‑1 cells by Western blot and by measuring peak current density of T‑type calcium channels. Aldosterone‑induced CACNA1H protein expression could be abrogated by the EGFR inhibitor AG1478. Furthermore, inhibition of T‑type calcium channels with mibefradil or ML218 reduced diameter, volume and BNP levels in HL‑1 cells. In conclusion the MR regulates EGFR and CACNA1H expression, which has an efect on HL‑1 cell diameter, and the extent of this regulation seems to depend on the SNP‑216 (G/T) genotype. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 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 © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Supplementary Table S1. Upregulated Genes Differentially
Supplementary Table S1. Upregulated genes differentially expressed in athletes (p < 0.05 and 1.3-fold change) Gene Symbol p Value Fold Change 221051_s_at NMRK2 0.01 2.38 236518_at CCDC183 0.00 2.05 218804_at ANO1 0.00 2.05 234675_x_at 0.01 2.02 207076_s_at ASS1 0.00 1.85 209135_at ASPH 0.02 1.81 228434_at BTNL9 0.03 1.81 229985_at BTNL9 0.01 1.79 215795_at MYH7B 0.01 1.78 217979_at TSPAN13 0.01 1.77 230992_at BTNL9 0.01 1.75 226884_at LRRN1 0.03 1.74 220039_s_at CDKAL1 0.01 1.73 236520_at 0.02 1.72 219895_at TMEM255A 0.04 1.72 201030_x_at LDHB 0.00 1.69 233824_at 0.00 1.69 232257_s_at 0.05 1.67 236359_at SCN4B 0.04 1.64 242868_at 0.00 1.63 1557286_at 0.01 1.63 202780_at OXCT1 0.01 1.63 1556542_a_at 0.04 1.63 209992_at PFKFB2 0.04 1.63 205247_at NOTCH4 0.01 1.62 1554182_at TRIM73///TRIM74 0.00 1.61 232892_at MIR1-1HG 0.02 1.61 204726_at CDH13 0.01 1.6 1561167_at 0.01 1.6 1565821_at 0.01 1.6 210169_at SEC14L5 0.01 1.6 236963_at 0.02 1.6 1552880_at SEC16B 0.02 1.6 235228_at CCDC85A 0.02 1.6 1568623_a_at SLC35E4 0.00 1.59 204844_at ENPEP 0.00 1.59 1552256_a_at SCARB1 0.02 1.59 1557283_a_at ZNF519 0.02 1.59 1557293_at LINC00969 0.03 1.59 231644_at 0.01 1.58 228115_at GAREM1 0.01 1.58 223687_s_at LY6K 0.02 1.58 231779_at IRAK2 0.03 1.58 243332_at LOC105379610 0.04 1.58 232118_at 0.01 1.57 203423_at RBP1 0.02 1.57 AMY1A///AMY1B///AMY1C///AMY2A///AMY2B// 208498_s_at 0.03 1.57 /AMYP1 237154_at LOC101930114 0.00 1.56 1559691_at 0.01 1.56 243481_at RHOJ 0.03 1.56 238834_at MYLK3 0.01 1.55 213438_at NFASC 0.02 1.55 242290_at TACC1 0.04 1.55 ANKRD20A1///ANKRD20A12P///ANKRD20A2/// -
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. -
Control Qpatch Htx Multi-Hole
41577_Poster 170x110.qxd:Poster 170x110 07/04/10 8:52 Side 1 SOPHION BIOSCIENCE A/S SOPHION BIOSCIENCE, INC. SOPHION JAPAN Baltorpvej 154 675 US Highway One 1716-6, Shimmachi ENHANCING THROUGHPUT WITH MULTIPLE DK-2750 Ballerup North Brunswick, NJ 08902 Takasaki-shi, Gumma 370-1301 DENMARK USA JAPAN [email protected] Phone: +1 732 745 0221 Phone: +81 274 50 8388 CELL LINES PER WELL WITH THE QPATCH HTX www.sophion.com www.sophion.com www.sophion.com HERVØR LYKKE OLSEN l DORTHE NIELSEN l MORTEN SUNESEN QPATCH HTX MULTI-HOLE: TEMPORAL CURRENT QPATCH HTX MULTI-HOLE: PHARMACOLOGICAL SEPARATION BASED ON DISCRETE RECORDING SEPARATION BASED ON ION CHANNEL INHIBITORS TIME WINDOWS KvLQT1/minK (KCNQ1/KCNE1) INTRODUCTION Kv1.5 (KCNA5) ABRaw traces (A) and Hill plot (B) for XE991. ABC hERG and Nav1.5 blocked by E-4031 and The QPatch HTX automated patch clamp technology was developed to 1) increase throughput in ion channel drug TTX, respectively. screening by parallel operation of 48 multi-hole patch clamp sites, each comprising 10 individual patch clamp holes, in a single measurements site on a QPlate X, and 2) diminish problems with low-expressing cell lines. Thus, parallel recording from 10 cells represents a 10-fold signal amplification, and it increases the success rate at each site substantially. To further increase throughput we explored the possibility of simultaneous recording of a number of ion channel currents. IC50 (μM) XE991 Two or three cell lines, each expressing a specific ion channel, were applied at each site simultaneously. The ion channel Measured Literature currents were separated temporally or pharmacologically by proper choices of voltage protocols or ion channel KvLQT1 3.5±1.0 (n=12) 1-6 (Ref. -
Patient-Based Cross-Platform Comparison of Oligonucleotide Microarray Expression Profiles
Laboratory Investigation (2005) 85, 1024–1039 & 2005 USCAP, Inc All rights reserved 0023-6837/05 $30.00 www.laboratoryinvestigation.org Patient-based cross-platform comparison of oligonucleotide microarray expression profiles Joerg Schlingemann1,*, Negusse Habtemichael2,*, Carina Ittrich3, Grischa Toedt1, Heidi Kramer1, Markus Hambek4, Rainald Knecht4, Peter Lichter1, Roland Stauber2 and Meinhard Hahn1 1Division of Molecular Genetics, Deutsches Krebsforschungszentrum, Heidelberg, Germany; 2Chemotherapeutisches Forschungsinstitut Georg-Speyer-Haus, Frankfurt am Main, Germany; 3Central Unit Biostatistics, Deutsches Krebsforschungszentrum, Heidelberg, Germany and 4Department of Otorhinolaryngology, Universita¨tsklinik, Johann-Wolfgang-Goethe-Universita¨t Frankfurt, Frankfurt, Germany The comparison of gene expression measurements obtained with different technical approaches is of substantial interest in order to clarify whether interplatform differences may conceal biologically significant information. To address this concern, we analyzed gene expression in a set of head and neck squamous cell carcinoma patients, using both spotted oligonucleotide microarrays made from a large collection of 70-mer probes and commercial arrays produced by in situ synthesis of sets of multiple 25-mer oligonucleotides per gene. Expression measurements were compared for 4425 genes represented on both platforms, which revealed strong correlations between the corresponding data sets. Of note, a global tendency towards smaller absolute ratios was observed when -
Investigating Unexplained Deaths for Molecular Autopsies
The author(s) shown below used Federal funding provided by the U.S. Department of Justice to prepare the following resource: Document Title: Investigating Unexplained Deaths for Molecular Autopsies Author(s): Yingying Tang, M.D., Ph.D, DABMG Document Number: 255135 Date Received: August 2020 Award Number: 2011-DN-BX-K535 This resource has not been published by the U.S. Department of Justice. This resource is being made publically available through the Office of Justice Programs’ National Criminal Justice Reference Service. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. Final Technical Report NIJ FY 11 Basic Science Research to Support Forensic Science 2011-DN-BX-K535 Investigating Unexplained Deaths through Molecular Autopsies May 28, 2017 Yingying Tang, MD, PhD, DABMG Principal Investigator Director, Molecular Genetics Laboratory Office of Chief Medical Examiner 421 East 26th Street New York, NY, 10016 Tel: 212-323-1340 Fax: 212-323-1540 Email: [email protected] Page 1 of 41 This resource was prepared by the author(s) using Federal funds provided by the U.S. Department of Justice. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. Abstract Sudden Unexplained Death (SUD) is natural death in a previously healthy individual whose cause remains undetermined after scene investigation, complete autopsy, and medical record review. SUD affects children and adults, devastating families, challenging medical examiners, and is a focus of research for cardiologists, neurologists, clinical geneticists, and scientists. -
The Chondrocyte Channelome: a Novel Ion Channel Candidate in the Pathogenesis of Pectus Deformities
Old Dominion University ODU Digital Commons Biological Sciences Theses & Dissertations Biological Sciences Summer 2017 The Chondrocyte Channelome: A Novel Ion Channel Candidate in the Pathogenesis of Pectus Deformities Anthony J. Asmar Old Dominion University, [email protected] Follow this and additional works at: https://digitalcommons.odu.edu/biology_etds Part of the Biology Commons, Molecular Biology Commons, and the Physiology Commons Recommended Citation Asmar, Anthony J.. "The Chondrocyte Channelome: A Novel Ion Channel Candidate in the Pathogenesis of Pectus Deformities" (2017). Doctor of Philosophy (PhD), Dissertation, Biological Sciences, Old Dominion University, DOI: 10.25777/pyha-7838 https://digitalcommons.odu.edu/biology_etds/19 This Dissertation is brought to you for free and open access by the Biological Sciences at ODU Digital Commons. It has been accepted for inclusion in Biological Sciences Theses & Dissertations by an authorized administrator of ODU Digital Commons. For more information, please contact [email protected]. THE CHONDROCYTE CHANNELOME: A NOVEL ION CHANNEL CANDIDATE IN THE PATHOGENESIS OF PECTUS DEFORMITIES by Anthony J. Asmar B.S. Biology May 2010, Virginia Polytechnic Institute M.S. Biology May 2013, Old Dominion University A Dissertation Submitted to the Faculty of Old Dominion University in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY BIOMEDICAL SCIENCES OLD DOMINION UNIVERSITY August 2017 Approved by: Christopher Osgood (Co-Director) Michael Stacey (Co-Director) Lesley Greene (Member) Andrei Pakhomov (Member) Jing He (Member) ABSTRACT THE CHONDROCYTE CHANNELOME: A NOVEL ION CHANNEL CANDIDATE IN THE PATHOGENESIS OF PECTUS DEFORMITIES Anthony J. Asmar Old Dominion University, 2017 Co-Directors: Dr. Christopher Osgood Dr. Michael Stacey Costal cartilage is a type of rod-like hyaline cartilage connecting the ribs to the sternum. -
Atrial Fibrillation (ATRIA) Study
European Journal of Human Genetics (2014) 22, 297–306 & 2014 Macmillan Publishers Limited All rights reserved 1018-4813/14 www.nature.com/ejhg REVIEW Atrial fibrillation: the role of common and rare genetic variants Morten S Olesen*,1,2,4, Morten W Nielsen1,2,4, Stig Haunsø1,2,3 and Jesper H Svendsen1,2,3 Atrial fibrillation (AF) is the most common cardiac arrhythmia affecting 1–2% of the general population. A number of studies have demonstrated that AF, and in particular lone AF, has a substantial genetic component. Monogenic mutations in lone and familial AF, although rare, have been recognized for many years. Presently, mutations in 25 genes have been associated with AF. However, the complexity of monogenic AF is illustrated by the recent finding that both gain- and loss-of-function mutations in the same gene can cause AF. Genome-wide association studies (GWAS) have indicated that common single-nucleotide polymorphisms (SNPs) have a role in the development of AF. Following the first GWAS discovering the association between PITX2 and AF, several new GWAS reports have identified SNPs associated with susceptibility of AF. To date, nine SNPs have been associated with AF. The exact biological pathways involving these SNPs and the development of AF are now starting to be elucidated. Since the first GWAS, the number of papers concerning the genetic basis of AF has increased drastically and the majority of these papers are for the first time included in a review. In this review, we discuss the genetic basis of AF and the role of both common and rare genetic variants in the susceptibility of developing AF. -
Cardiogenetics Testing Reference Guide December 2018
Cardiogenetics Testing reference guide December 2018 Why Choose Ambry More than 1 in 200 people have an inherited cardiovascular condition. Ambry’s mission is to provide the most advanced genetic testing information available to help you identity those at-risk and determine the best treatment options. If we know a patient has a disease-causing genetic change, not only does it mean better disease management, it also indicates that we can test others in the family and provide them with potentially life-saving information. Diseases and Testing Options cardiomyopathies arrhythmias Hypertrophic Cardiomyopathy (HCMNext) Catecholaminergic Polymorphic Ventricular Dilated Cardiomyopathy (DCMNext) Tachycardia (CPVTNext) Arrhythmogenic Right Ventricular Long QT Syndrome, Short QT Syndrome, Cardiomyopathy (ARVCNext) Brugada Syndrome (LongQTNext, RhythmNext) Cardiomyopathies (CMNext, CardioNext) Arrhythmias (RhythmNext, CardioNext) other cardio conditions Transthyretin Amyloidosis (TTR) familial hypercholesterolemia Noonan Syndrome (NoonanNext) and lipid disorders Hereditary Hemorrhagic Telangiectasia Familial Hypercholesterolemia (FHNext) (HHTNext) Sitosterolemia (Sitosterolemia Panel) Comprehensive Lipid Menu thoracic aortic aneurysms (CustomNext-Cardio) and dissections Familial Chylomicronemia Syndrome (FCSNext) Thoracic Aneurysms and Dissections, aortopathies (TAADNext) Marfan Syndrome (TAADNext) Ehlers-Danlos Syndrome (TAADNext) Targeted Panels Gene Comparison ALL PANELS HAVE A TURNAROUND TIME OF 2-3 WEEKS arrhythmias CPVTNext CPVTNext CASQ2, -
Inhibition of Radiation and Temozolomide-Induced Glioblastoma Invadopodia Activity Using Ion Channel Drugs
cancers Article Inhibition of Radiation and Temozolomide-Induced Glioblastoma Invadopodia Activity Using Ion Channel Drugs Marija Dinevska 1 , Natalia Gazibegovic 2 , Andrew P. Morokoff 1,3, Andrew H. Kaye 1,4, Katharine J. Drummond 1,3, Theo Mantamadiotis 1,5 and Stanley S. Stylli 1,3,* 1 Department of Surgery, The University of Melbourne, The Royal Melbourne Hospital, Parkville 3050, Victoria, Australia; [email protected] (M.D.); morokoff@unimelb.edu.au (A.P.M.); [email protected] (A.H.K.); [email protected] (K.J.D.); [email protected] (T.M.) 2 Victoria University, St. Albans 3021, Victoria, Australia; [email protected] 3 Department of Neurosurgery, The Royal Melbourne Hospital, Parkville 3050, Victoria, Australia 4 Hadassah University Medical Centre, Jerusalem 91120, Israel 5 Department of Microbiology & Immunology, School of Biomedical Sciences, The University of Melbourne, Parkville 3010, Victoria, Australia * Correspondence: [email protected] or [email protected] Received: 8 September 2020; Accepted: 30 September 2020; Published: 8 October 2020 Simple Summary: Glioblastoma accounts for approximately 40–50% of all primary brain cancers and is a highly aggressive cancer that rapidly disseminates within the surrounding normal brain. Dynamic actin-rich protrusions known as invadopodia facilitate this invasive process. Ion channels have also been linked to a pro-invasive phenotype and may contribute to facilitating invadopodia activity in cancer cells. The aim of our study was to screen ion channel-targeting drugs for their cytotoxic efficacy and potential anti-invadopodia properties in glioblastoma cells. We demonstrated that the targeting of ion channels in glioblastoma cells can lead to a reduction in invadopodia activity and protease secretion. -
Ion Channels 3 1
r r r Cell Signalling Biology Michael J. Berridge Module 3 Ion Channels 3 1 Module 3 Ion Channels Synopsis Ion channels have two main signalling functions: either they can generate second messengers or they can function as effectors by responding to such messengers. Their role in signal generation is mainly centred on the Ca2 + signalling pathway, which has a large number of Ca2+ entry channels and internal Ca2+ release channels, both of which contribute to the generation of Ca2 + signals. Ion channels are also important effectors in that they mediate the action of different intracellular signalling pathways. There are a large number of K+ channels and many of these function in different + aspects of cell signalling. The voltage-dependent K (KV) channels regulate membrane potential and + excitability. The inward rectifier K (Kir) channel family has a number of important groups of channels + + such as the G protein-gated inward rectifier K (GIRK) channels and the ATP-sensitive K (KATP) + + channels. The two-pore domain K (K2P) channels are responsible for the large background K current. Some of the actions of Ca2 + are carried out by Ca2+-sensitive K+ channels and Ca2+-sensitive Cl − channels. The latter are members of a large group of chloride channels and transporters with multiple functions. There is a large family of ATP-binding cassette (ABC) transporters some of which have a signalling role in that they extrude signalling components from the cell. One of the ABC transporters is the cystic − − fibrosis transmembrane conductance regulator (CFTR) that conducts anions (Cl and HCO3 )and contributes to the osmotic gradient for the parallel flow of water in various transporting epithelia.