Kv2 Potassium Channels Meet VAP COMMENTARY
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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. -
Potassium Channels in Epilepsy
Downloaded from http://perspectivesinmedicine.cshlp.org/ on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Potassium Channels in Epilepsy Ru¨diger Ko¨hling and Jakob Wolfart Oscar Langendorff Institute of Physiology, University of Rostock, Rostock 18057, Germany Correspondence: [email protected] This review attempts to give a concise and up-to-date overview on the role of potassium channels in epilepsies. Their role can be defined from a genetic perspective, focusing on variants and de novo mutations identified in genetic studies or animal models with targeted, specific mutations in genes coding for a member of the large potassium channel family. In these genetic studies, a demonstrated functional link to hyperexcitability often remains elusive. However, their role can also be defined from a functional perspective, based on dy- namic, aggravating, or adaptive transcriptional and posttranslational alterations. In these cases, it often remains elusive whether the alteration is causal or merely incidental. With 80 potassium channel types, of which 10% are known to be associated with epilepsies (in humans) or a seizure phenotype (in animals), if genetically mutated, a comprehensive review is a challenging endeavor. This goal may seem all the more ambitious once the data on posttranslational alterations, found both in human tissue from epilepsy patients and in chronic or acute animal models, are included. We therefore summarize the literature, and expand only on key findings, particularly regarding functional alterations found in patient brain tissue and chronic animal models. INTRODUCTION TO POTASSIUM evolutionary appearance of voltage-gated so- CHANNELS dium (Nav)andcalcium (Cav)channels, Kchan- nels are further diversified in relation to their otassium (K) channels are related to epilepsy newer function, namely, keeping neuronal exci- Psyndromes on many different levels, ranging tation within limits (Anderson and Greenberg from direct control of neuronal excitability and 2001; Hille 2001). -
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. -
Defining the Kv2.1–Syntaxin Molecular Interaction Identifies a First-In-Class Small Molecule Neuroprotectant
Defining the Kv2.1–syntaxin molecular interaction identifies a first-in-class small molecule neuroprotectant Chung-Yang Yeha,b,1, Zhaofeng Yec,d,1, Aubin Moutale, Shivani Gaura,b, Amanda M. Hentonf,g, Stylianos Kouvarosf,g, Jami L. Salomana, Karen A. Hartnett-Scotta,b, Thanos Tzounopoulosa,f,g, Rajesh Khannae, Elias Aizenmana,b,g,2, and Carlos J. Camachoc,2 aDepartment of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261; bPittsburgh Institute for Neurodegenerative Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261; cDepartment of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261; dSchool of Medicine, Tsinghua University, Beijing 100871, China; eDepartment of Pharmacology, College of Medicine, University of Arizona, Tucson, AZ 85724; fDepartment of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261; and gPittsburgh Hearing Research Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261 Edited by Lily Yeh Jan, University of California, San Francisco, CA, and approved June 19, 2019 (received for review February 27, 2019) + The neuronal cell death-promoting loss of cytoplasmic K follow- (13). The Kv2.1-dependent cell death pathway is normally initiated ing injury is mediated by an increase in Kv2.1 potassium channels in by the oxidative liberation of zinc from intracellular metal-binding the plasma membrane. This phenomenon relies on Kv2.1 binding to proteins (14), leading to the sequential phosphorylation of syntaxin 1A via 9 amino acids within the channel intrinsically disor- Kv2.1 residues Y124 and S800 by Src and p38 kinases, respectively dered C terminus. Preventing this interaction with a cell and blood- (15–17). -
Transcriptomic Analysis of Native Versus Cultured Human and Mouse Dorsal Root Ganglia Focused on Pharmacological Targets Short
bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Transcriptomic analysis of native versus cultured human and mouse dorsal root ganglia focused on pharmacological targets Short title: Comparative transcriptomics of acutely dissected versus cultured DRGs Andi Wangzhou1, Lisa A. McIlvried2, Candler Paige1, Paulino Barragan-Iglesias1, Carolyn A. Guzman1, Gregory Dussor1, Pradipta R. Ray1,#, Robert W. Gereau IV2, # and Theodore J. Price1, # 1The University of Texas at Dallas, School of Behavioral and Brain Sciences and Center for Advanced Pain Studies, 800 W Campbell Rd. Richardson, TX, 75080, USA 2Washington University Pain Center and Department of Anesthesiology, Washington University School of Medicine # corresponding authors [email protected], [email protected] and [email protected] Funding: NIH grants T32DA007261 (LM); NS065926 and NS102161 (TJP); NS106953 and NS042595 (RWG). The authors declare no conflicts of interest Author Contributions Conceived of the Project: PRR, RWG IV and TJP Performed Experiments: AW, LAM, CP, PB-I Supervised Experiments: GD, RWG IV, TJP Analyzed Data: AW, LAM, CP, CAG, PRR Supervised Bioinformatics Analysis: PRR Drew Figures: AW, PRR Wrote and Edited Manuscript: AW, LAM, CP, GD, PRR, RWG IV, TJP All authors approved the final version of the manuscript. 1 bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Supplemental Table 1. Complete Gene Lists and GO Terms from Figure 3C
Supplemental Table 1. Complete gene lists and GO terms from Figure 3C. Path 1 Genes: RP11-34P13.15, RP4-758J18.10, VWA1, CHD5, AZIN2, FOXO6, RP11-403I13.8, ARHGAP30, RGS4, LRRN2, RASSF5, SERTAD4, GJC2, RHOU, REEP1, FOXI3, SH3RF3, COL4A4, ZDHHC23, FGFR3, PPP2R2C, CTD-2031P19.4, RNF182, GRM4, PRR15, DGKI, CHMP4C, CALB1, SPAG1, KLF4, ENG, RET, GDF10, ADAMTS14, SPOCK2, MBL1P, ADAM8, LRP4-AS1, CARNS1, DGAT2, CRYAB, AP000783.1, OPCML, PLEKHG6, GDF3, EMP1, RASSF9, FAM101A, STON2, GREM1, ACTC1, CORO2B, FURIN, WFIKKN1, BAIAP3, TMC5, HS3ST4, ZFHX3, NLRP1, RASD1, CACNG4, EMILIN2, L3MBTL4, KLHL14, HMSD, RP11-849I19.1, SALL3, GADD45B, KANK3, CTC- 526N19.1, ZNF888, MMP9, BMP7, PIK3IP1, MCHR1, SYTL5, CAMK2N1, PINK1, ID3, PTPRU, MANEAL, MCOLN3, LRRC8C, NTNG1, KCNC4, RP11, 430C7.5, C1orf95, ID2-AS1, ID2, GDF7, KCNG3, RGPD8, PSD4, CCDC74B, BMPR2, KAT2B, LINC00693, ZNF654, FILIP1L, SH3TC1, CPEB2, NPFFR2, TRPC3, RP11-752L20.3, FAM198B, TLL1, CDH9, PDZD2, CHSY3, GALNT10, FOXQ1, ATXN1, ID4, COL11A2, CNR1, GTF2IP4, FZD1, PAX5, RP11-35N6.1, UNC5B, NKX1-2, FAM196A, EBF3, PRRG4, LRP4, SYT7, PLBD1, GRASP, ALX1, HIP1R, LPAR6, SLITRK6, C16orf89, RP11-491F9.1, MMP2, B3GNT9, NXPH3, TNRC6C-AS1, LDLRAD4, NOL4, SMAD7, HCN2, PDE4A, KANK2, SAMD1, EXOC3L2, IL11, EMILIN3, KCNB1, DOK5, EEF1A2, A4GALT, ADGRG2, ELF4, ABCD1 Term Count % PValue Genes regulation of pathway-restricted GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, SMAD protein phosphorylation 9 6.34 1.31E-08 ENG pathway-restricted SMAD protein GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, phosphorylation -
Signal Peptide Peptidase‐Like 2C Impairs Vesicular Transport And
Article Signal peptide peptidase-like 2c impairs vesicular transport and cleaves SNARE proteins Alkmini A Papadopoulou1, Stephan A Müller2, Torben Mentrup3, Merav D Shmueli2,4,5, Johannes Niemeyer3, Martina Haug-Kröper1, Julia von Blume6, Artur Mayerhofer7, Regina Feederle2,8,9 , Bernd Schröder3,10 , Stefan F Lichtenthaler2,5,9 & Regina Fluhrer1,2,* Abstract Introduction Members of the GxGD-type intramembrane aspartyl proteases The high degree of compartmentalization in eukaryotic cells creates have emerged as key players not only in fundamental cellular a need for specific and precise protein trafficking. To meet this need, processes such as B-cell development or protein glycosylation, but cells have developed a complex system of vesicle transport that also in development of pathologies, such as Alzheimer’s disease or ensures safe sorting of cargo proteins, in particular between the dif- hepatitis virus infections. However, one member of this protease ferent compartments of the secretory pathway [1–3]. Vesicles origi- family, signal peptide peptidase-like 2c (SPPL2c), remains orphan nate from a donor membrane, translocate in a targeted manner, and and its capability of proteolysis as well as its physiological function get specifically tethered to the target membrane, before fusing with is still enigmatic. Here, we demonstrate that SPPL2c is catalytically it. Soluble N-ethylmaleimide-sensitive factor attachment protein active and identify a variety of SPPL2c candidate substrates using receptor (SNARE) proteins are known since three decades to medi- proteomics. The majority of the SPPL2c candidate substrates clus- ate specific membrane fusion [4,5]. So far, 38 SNARE proteins have ter to the biological process of vesicular trafficking. -
Incredibly Close—A Newly Identified Peroxisome–ER Contact Site in Humans
JCB: Spotlight Incredibly close—A newly identified peroxisome–ER contact site in humans Maya Schuldiner and Einat Zalckvar Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel Peroxisomes are tiny organelles that control important residents of contact sites and to mediate membrane association and diverse metabolic processes via their interplay with through their major sperm protein (MSP) domain (Wyles and Ridgway, 2004), they were exciting candidates for tethers. The other organelles, including the endoplasmic reticulum MSP domain of VAPs interacts with proteins that contain two (ER). In this issue, Costello et al. (2017. J. Cell Biol. phenylalanines (FF) in an acidic tract (FFAT) motif. When the https://doi.org/10.1083/jcb.201607055) and Hua et MSP and FFAT motifs are located in proteins that are anchored al. (2017. J. Cell Biol. https://doi.org/10.1083/jcb to opposing organelle membranes, the MSP–FFAT interac- tion zippers up the contact. Hua et al. (2017) looked among .201608128) identify a peroxisome–ER contact site in their PEX16-binding candidates for proteins with a FFAT do- human cells held together by a tethering complex of main and identified ACBD5. The observation that peroxisomal VAPA/B (vesicle-associated membrane protein–associated ACBD5 contained a FFAT domain and could be found in the same protein complex as the ER tethering proteins VAPA and proteins A/B) and ACBD5 (acyl Co-A binding protein 5). VAPB led both groups to investigate whether or not these pro- teins play a role in peroxisome–ER tethering. Peroxisomes are organelles enclosed by a single membrane We have recently put in place a suggestion to term a pro- that exist in most eukaryotic organisms and cells and are in- tein a tether only if it abides by three criteria (Eisenberg-Bord volved in various metabolic, as well as nonmetabolic, cellular et al., 2016). -
An Advance About the Genetic Causes of Epilepsy
E3S Web of Conferences 271, 03068 (2021) https://doi.org/10.1051/e3sconf/202127103068 ICEPE 2021 An advance about the genetic causes of epilepsy Yu Sun1, a, *, †, Licheng Lu2, b, *, †, Lanxin Li3, c, *, †, Jingbo Wang4, d, *, † 1The School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801-3633, US 2High School Affiliated to Shanghai Jiao Tong University, Shanghai, 200441, China 3Applied Biology program, University of British Columbia, Vancouver, V6r3b1, Canada 4School of Chemical Machinery and Safety, Dalian University of Technology, Dalian, 116023, China †These authors contributed equally. Abstract: Human hereditary epilepsy has been found related to ion channel mutations in voltage-gated channels (Na+, K+, Ca2+, Cl-), ligand gated channels (GABA receptors), and G-protein coupled receptors, such as Mass1. In addition, some transmembrane proteins or receptor genes, including PRRT2 and nAChR, and glucose transporter genes, such as GLUT1 and SLC2A1, are also about the onset of epilepsy. The discovery of these genetic defects has contributed greatly to our understanding of the pathology of epilepsy. This review focuses on introducing and summarizing epilepsy-associated genes and related findings in recent decades, pointing out related mutant genes that need to be further studied in the future. 1 Introduction Epilepsy is a neurological disorder characterized by 2 Malfunction of Ion channel epileptic seizures caused by abnormal brain activity. 1 in Functional variation in voltage or ligand-gated ion 100 (50 million people) people are affected by symptoms channel mutations is a major cause of idiopathic epilepsy, of this disorder worldwide, with men, young children, and especially in rare genetic forms. -
Cldn19 Clic2 Clmp Cln3
NewbornDx™ Advanced Sequencing Evaluation When time to diagnosis matters, the NewbornDx™ Advanced Sequencing Evaluation from Athena Diagnostics delivers rapid, 5- to 7-day results on a targeted 1,722-genes. A2ML1 ALAD ATM CAV1 CLDN19 CTNS DOCK7 ETFB FOXC2 GLUL HOXC13 JAK3 AAAS ALAS2 ATP1A2 CBL CLIC2 CTRC DOCK8 ETFDH FOXE1 GLYCTK HOXD13 JUP AARS2 ALDH18A1 ATP1A3 CBS CLMP CTSA DOK7 ETHE1 FOXE3 GM2A HPD KANK1 AASS ALDH1A2 ATP2B3 CC2D2A CLN3 CTSD DOLK EVC FOXF1 GMPPA HPGD K ANSL1 ABAT ALDH3A2 ATP5A1 CCDC103 CLN5 CTSK DPAGT1 EVC2 FOXG1 GMPPB HPRT1 KAT6B ABCA12 ALDH4A1 ATP5E CCDC114 CLN6 CUBN DPM1 EXOC4 FOXH1 GNA11 HPSE2 KCNA2 ABCA3 ALDH5A1 ATP6AP2 CCDC151 CLN8 CUL4B DPM2 EXOSC3 FOXI1 GNAI3 HRAS KCNB1 ABCA4 ALDH7A1 ATP6V0A2 CCDC22 CLP1 CUL7 DPM3 EXPH5 FOXL2 GNAO1 HSD17B10 KCND2 ABCB11 ALDOA ATP6V1B1 CCDC39 CLPB CXCR4 DPP6 EYA1 FOXP1 GNAS HSD17B4 KCNE1 ABCB4 ALDOB ATP7A CCDC40 CLPP CYB5R3 DPYD EZH2 FOXP2 GNE HSD3B2 KCNE2 ABCB6 ALG1 ATP8A2 CCDC65 CNNM2 CYC1 DPYS F10 FOXP3 GNMT HSD3B7 KCNH2 ABCB7 ALG11 ATP8B1 CCDC78 CNTN1 CYP11B1 DRC1 F11 FOXRED1 GNPAT HSPD1 KCNH5 ABCC2 ALG12 ATPAF2 CCDC8 CNTNAP1 CYP11B2 DSC2 F13A1 FRAS1 GNPTAB HSPG2 KCNJ10 ABCC8 ALG13 ATR CCDC88C CNTNAP2 CYP17A1 DSG1 F13B FREM1 GNPTG HUWE1 KCNJ11 ABCC9 ALG14 ATRX CCND2 COA5 CYP1B1 DSP F2 FREM2 GNS HYDIN KCNJ13 ABCD3 ALG2 AUH CCNO COG1 CYP24A1 DST F5 FRMD7 GORAB HYLS1 KCNJ2 ABCD4 ALG3 B3GALNT2 CCS COG4 CYP26C1 DSTYK F7 FTCD GP1BA IBA57 KCNJ5 ABHD5 ALG6 B3GAT3 CCT5 COG5 CYP27A1 DTNA F8 FTO GP1BB ICK KCNJ8 ACAD8 ALG8 B3GLCT CD151 COG6 CYP27B1 DUOX2 F9 FUCA1 GP6 ICOS KCNK3 ACAD9 ALG9 -
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. -
Ion Channels As Drug Targets
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by PubMed Central PERSPECTIVE Ion Channels as Drug Targets: The Next GPCRs Gregory J. Kaczorowski , Owen B. McManus, Birgit T. Priest , and Maria L. Garcia Department of Ion Channels, Merck Research Laboratories, Rahway, NJ 07065 Ion channels are well recognized as important thera- molecular target was unclear. Serendipity, insight, and peutic targets for treating a number of different patho- brute force effort drove these drug discovery efforts and physiologies. Historically, however, development of resulted in a number of notable successes including suc- drugs targeting this protein class has been diffi cult. Sev- cessful therapies and discovery of research tools that eral challenges associated with molecular-based drug have been invaluable in mapping out signaling path- discovery include validation of new channel targets and ways, purifying channel proteins, and characterizing identifi cation of acceptable medicinal chemistry leads. gating mechanisms, all of which has sustained the pres- Proof of concept approaches, focusing on combined ent era of ion channel drug discovery ( Garcia and molecular biological/pharmacological studies, have Kaczorowski, 2005 ). been successful. New, functional, high throughput With the advent of a more complete understanding screening (HTS) strategies developed to identify tracta- of cellular physiology and identifi cation of the molecu- ble lead structures, which typically are not abundant in lar components that constitute individual channel types small molecule libraries, have also yielded promising and control their function, researchers are now focus- results. Automated cell-based HTS assays can be confi g- ing on a molecular-based strategy to identify drugs tar- ured for many different types of ion channels using geting this protein class.