Isoform-Specific Regulation of HCN4 Channels by a Family of Endoplasmic Reticulum Proteins
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Nav 1.1 Channels in Axon Initial Segments of Bipolar Cells Augment
The Journal of Neuroscience, October 9, 2013 • 33(41):16045–16059 • 16045 Systems/Circuits NaV1.1 Channels in Axon Initial Segments of Bipolar Cells Augment Input to Magnocellular Visual Pathways in the Primate Retina Theresa Puthussery,1 Sowmya Venkataramani,1 Jacqueline Gayet-Primo,1 Robert G. Smith,2 and W. Rowland Taylor1 1Casey Eye Institute, Department of Ophthalmology, Oregon Health & Science University, Portland, Oregon 97239, and 2Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania 19104 In the primate visual system, the ganglion cells of the magnocellular pathway underlie motion and flicker detection and are relatively transient,whilethemoresustainedganglioncellsoftheparvocellularpathwayhavecomparativelylowertemporalresolution,butencode higher spatial frequencies. Although it is presumed that functional differences in bipolar cells contribute to the tuning of the two pathways, the properties of the relevant bipolar cells have not yet been examined in detail. Here, by making patch-clamp recordings in acuteslicesofmacaqueretina,weshowthatthebipolarcellswithinthemagnocellularpathway,butnottheparvocellularpathway,exhibit voltage-gated sodium (NaV ), T-type calcium (CaV ), and hyperpolarization-activated, cyclic nucleotide-gated (HCN) currents, and can generate action potentials. Using immunohistochemistry in macaque and human retinae, we show that NaV1.1 is concentrated in an axon initial segment (AIS)-like region of magnocellular pathway bipolar cells, a specialization not seen in transient bipolar cells of other vertebrates. In contrast, CaV3.1 channels were localized to the somatodendritic compartment and proximal axon, but were excluded from the AIS, while HCN1 channels were concentrated in the axon terminal boutons. Simulations using a compartmental model reproduced physiological results and indicate that magnocellular pathway bipolar cells initiate spikes in the AIS. Finally, we demonstrate that NaV channels in bipolar cells augment excitatory input to parasol ganglion cells of the magnocellular pathway. -
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. -
Aquaporin Channels in the Heart—Physiology and Pathophysiology
International Journal of Molecular Sciences Review Aquaporin Channels in the Heart—Physiology and Pathophysiology Arie O. Verkerk 1,2,* , Elisabeth M. Lodder 2 and Ronald Wilders 1 1 Department of Medical Biology, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; [email protected] 2 Department of Experimental Cardiology, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; [email protected] * Correspondence: [email protected]; Tel.: +31-20-5664670 Received: 29 March 2019; Accepted: 23 April 2019; Published: 25 April 2019 Abstract: Mammalian aquaporins (AQPs) are transmembrane channels expressed in a large variety of cells and tissues throughout the body. They are known as water channels, but they also facilitate the transport of small solutes, gasses, and monovalent cations. To date, 13 different AQPs, encoded by the genes AQP0–AQP12, have been identified in mammals, which regulate various important biological functions in kidney, brain, lung, digestive system, eye, and skin. Consequently, dysfunction of AQPs is involved in a wide variety of disorders. AQPs are also present in the heart, even with a specific distribution pattern in cardiomyocytes, but whether their presence is essential for proper (electro)physiological cardiac function has not intensively been studied. This review summarizes recent findings and highlights the involvement of AQPs in normal and pathological cardiac function. We conclude that AQPs are at least implicated in proper cardiac water homeostasis and energy balance as well as heart failure and arsenic cardiotoxicity. However, this review also demonstrates that many effects of cardiac AQPs, especially on excitation-contraction coupling processes, are virtually unexplored. -
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. -
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. -
Macropinocytosis Requires Gal-3 in a Subset of Patient-Derived Glioblastoma Stem Cells
ARTICLE https://doi.org/10.1038/s42003-021-02258-z OPEN Macropinocytosis requires Gal-3 in a subset of patient-derived glioblastoma stem cells Laetitia Seguin1,8, Soline Odouard2,8, Francesca Corlazzoli 2,8, Sarah Al Haddad2, Laurine Moindrot2, Marta Calvo Tardón3, Mayra Yebra4, Alexey Koval5, Eliana Marinari2, Viviane Bes3, Alexandre Guérin 6, Mathilde Allard2, Sten Ilmjärv6, Vladimir L. Katanaev 5, Paul R. Walker3, Karl-Heinz Krause6, Valérie Dutoit2, ✉ Jann N. Sarkaria 7, Pierre-Yves Dietrich2 & Érika Cosset 2 Recently, we involved the carbohydrate-binding protein Galectin-3 (Gal-3) as a druggable target for KRAS-mutant-addicted lung and pancreatic cancers. Here, using glioblastoma patient-derived stem cells (GSCs), we identify and characterize a subset of Gal-3high glio- 1234567890():,; blastoma (GBM) tumors mainly within the mesenchymal subtype that are addicted to Gal-3- mediated macropinocytosis. Using both genetic and pharmacologic inhibition of Gal-3, we showed a significant decrease of GSC macropinocytosis activity, cell survival and invasion, in vitro and in vivo. Mechanistically, we demonstrate that Gal-3 binds to RAB10, a member of the RAS superfamily of small GTPases, and β1 integrin, which are both required for macro- pinocytosis activity and cell survival. Finally, by defining a Gal-3/macropinocytosis molecular signature, we could predict sensitivity to this dependency pathway and provide proof-of- principle for innovative therapeutic strategies to exploit this Achilles’ heel for a significant and unique subset of GBM patients. 1 University Côte d’Azur, CNRS UMR7284, INSERM U1081, Institute for Research on Cancer and Aging (IRCAN), Nice, France. 2 Laboratory of Tumor Immunology, Department of Oncology, Center for Translational Research in Onco-Hematology, Swiss Cancer Center Léman (SCCL), Geneva University Hospitals, University of Geneva, Geneva, Switzerland. -
1 De Novo Mutations in HCN1 Cause Early Infantile Epileptic
De novo mutations in HCN1 cause early infantile epileptic encephalopathy Caroline Nava,1-4,24, Carine Dalle5,24, Agnès Rastetter1, Pasquale Striano6,23, Carolien G.F. de Kovel7, Rima Nabbout8,9, Claude Cancès10, Dorothée Ville11, Eva H. Brilstra7, Giuseppe Gobbi12, Emmanuel Raffo13, Delphine Bouteiller14, Yannick Marie14, Oriane Trouillard1,3,4, Angela Robbiano15, Boris Keren16, Dahbia Agher1, Emmanuel Roze1-3, Suzanne Lesage1-3, Aude Nicolas1-3, Alexis Brice1-4, Michel Baulac1-3, Cornelia Vogt17, Nady El Hajj17, Eberhard Schneider17, Arvid Suls18,19,23, Sarah Weckhuysen18,19,23, Padhraig Gormley20,23, Anna-Elina Lehesjoki21,23, Peter De Jonghe18,19,23, Ingo Helbig22,23, Stéphanie Baulac1-3,23, Federico Zara15,23, Bobby P.C. Koeleman7,23, EuroEPINOMICS RES consortium, Thomas Haaf17, Eric LeGuern1-4,23, and Christel Depienne1,3,17,23 1 Institut National de la Santé et de la Recherche Médicale (INSERM) UMR 975, Institut du cerveau et de la moelle épinière (ICM), Hôpital Pitié-Salpêtrière, Paris, France. 2 CNRS 7225, Hôpital Pitié-Salpêtrière, Paris, France. 3 Université Pierre et Marie Curie-Paris-6 (UPMC), UMR_S 975, Paris, France. 4 AP-HP, Hôpital Pitié-Salpêtrière, Département de Génétique et de Cytogénétique, Unité Fonctionnelle de Neurogénétique moléculaire et cellulaire, Paris, France. 5 ICM, Institut du cerveau et de la moelle épinière, Plateforme d’électrophysiologie, Paris, France. 6 Pediatric Neurology and Muscular Diseases Unit, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova and Gaslini Institute, Genova, Italy. 7 Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands. 8 Department of Pediatric Neurology, Centre de Reference Epilepsies Rares, Hôpital Necker–Enfants Malades, Assistance Publique–Hôpitaux de Paris (AP-HP), Paris, France. -
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. -
Supplementary Data
Supplemental Data Microarray data analysis. In order to identify differentially expressed genes, we compared the melanoma samples to the benign nevi and the normal skin samples separately. The first analysis consisted of the 45 melanoma and 7 normal skin samples; the second analysis consisted of 45 melanoma and 18 nevi samples (Fig. S1). Significance analysis of microarray (SAM) was performed (17). Parameters for SAM were set as ∆=2.5 and fold change = 2.0 with 1,000 permutations. FDR was 1%. There was no missing data and the default random number was used. Next, percentile analysis was conducted. For up-regulated genes, the 30%ile in melanoma samples was compared to the maximum of the normal samples, or that of nevi samples. Student T-test with Bonferroni correction was also performed with cut-off p<0.05 in order to ensure that the selected genes had significant differential expression between the two groups of the samples. As a final step, we identified common genes between the melanoma/benign and melanoma /normal gene lists and reported a single list of genes up-regulated in melanoma (Table S1). 1 Fig. S1. 22,283 genes on Affymetrix U33a chip 15,795 genes with 2 or more “Present” calls Melanoma vs. Skin Melanoma vs. Benign nevi SAM FDR < 1%, fold-change > 2 2,326 up-regulated genes in cancer 828 up-regulated genes in cancer Percentile analysis Up-regulated in > 30% of melanoma 1,941 genes 527 genes T test with Bonferroni correction P < 0.05 592 genes (439 common genes) 492 genes 2 Table S1. -
1 Molecular and Genetic Regulation of Pig Pancreatic Islet Cell Development 2 3 4 Seokho Kim1,9, Robert L
bioRxiv preprint doi: https://doi.org/10.1101/717090; this version posted January 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Molecular and genetic regulation of pig pancreatic islet cell development 2 3 4 Seokho Kim1,9, Robert L. Whitener1,9, Heshan Peiris1, Xueying Gu1, Charles A. Chang1, 5 Jonathan Y. Lam1, Joan Camunas-Soler2, Insung Park3, Romina J. Bevacqua1, Krissie Tellez1, 6 Stephen R. Quake2,4, Jonathan R. T. Lakey5, Rita Bottino6, Pablo J. Ross3, Seung K. Kim1,7,8 7 8 1Department of Developmental Biology, Stanford University School of Medicine, 9 Stanford, CA, 94305 USA 10 2Department of Bioengineering, Stanford University, Stanford, CA, 94305 USA 11 3Department of Animal Science, University of California Davis, Davis, CA, 95616 USA 12 4Chan Zuckerberg Biohub, San Francisco, CA 94518, USA. 13 5Department of Surgery, University of California at Irvine, Irvine, CA, 92868 USA 14 6Institute of Cellular Therapeutics, Allegheny Health Network, Pittsburgh, PA, 15212 USA 15 7Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305 USA 16 8Stanford Diabetes Research Center, Stanford University School of Medicine, 17 Stanford, CA, 94305 USA 18 19 9These authors contributed equally 20 21 Correspondence and requests for materials should be addressed to S.K.K (email: 22 [email protected]) 23 24 Key Words: pancreas; metabolism; organogenesis; b-cell; a-cell; d-cell; diabetes mellitus 25 26 Summary Statement: This study reveals transcriptional, signaling and cellular programs 27 governing pig pancreatic islet development, including striking similarities to human islet 28 ontogeny, providing a novel resource for advancing human islet replacement strategies. -
Spatial Distribution of Leading Pacemaker Sites in the Normal, Intact Rat Sinoa
Supplementary Material Supplementary Figure 1: Spatial distribution of leading pacemaker sites in the normal, intact rat sinoatrial 5 nodes (SAN) plotted along a normalized y-axis between the superior vena cava (SVC) and inferior vena 6 cava (IVC) and a scaled x-axis in millimeters (n = 8). Colors correspond to treatment condition (black: 7 baseline, blue: 100 µM Acetylcholine (ACh), red: 500 nM Isoproterenol (ISO)). 1 Supplementary Figure 2: Spatial distribution of leading pacemaker sites before and after surgical 3 separation of the rat SAN (n = 5). Top: Intact SAN preparations with leading pacemaker sites plotted during 4 baseline conditions. Bottom: Surgically cut SAN preparations with leading pacemaker sites plotted during 5 baseline conditions (black) and exposure to pharmacological stimulation (blue: 100 µM ACh, red: 500 nM 6 ISO). 2 a &DUGLDFIoQChDQQHOV .FQM FOXVWHU &DFQDG &DFQDK *MD &DFQJ .FQLS .FQG .FQK .FQM &DFQDF &DFQE .FQM í $WSD .FQD .FQM í .FQN &DVT 5\U .FQM &DFQJ &DFQDG ,WSU 6FQD &DFQDG .FQQ &DFQDJ &DFQDG .FQD .FQT 6FQD 3OQ 6FQD +FQ *MD ,WSU 6FQE +FQ *MG .FQN .FQQ .FQN .FQD .FQE .FQQ +FQ &DFQDD &DFQE &DOP .FQM .FQD .FQN .FQG .FQN &DOP 6FQD .FQD 6FQE 6FQD 6FQD ,WSU +FQ 6FQD 5\U 6FQD 6FQE 6FQD .FQQ .FQH 6FQD &DFQE 6FQE .FQM FOXVWHU V6$1 L6$1 5$ /$ 3 b &DUGLDFReFHSWRUV $GUDF FOXVWHU $GUDD &DY &KUQE &KUP &KJD 0\O 3GHG &KUQD $GUE $GUDG &KUQE 5JV í 9LS $GUDE 7SP í 5JV 7QQF 3GHE 0\K $GUE *QDL $QN $GUDD $QN $QN &KUP $GUDE $NDS $WSE 5DPS &KUP 0\O &KUQD 6UF &KUQH $GUE &KUQD FOXVWHU V6$1 L6$1 5$ /$ 4 c 1HXURQDOPURWHLQV -
A B C Supplementary Figure 1. Experimental Workflow And
a c Ion channel activity Midbrain microdissection Cacna1c Cav1.2 Collected material Cacna1d Cav1.3 Cacna1g Cav3.1 SNc Hcn2 HCN2 SNr VTA Hcn4 HCN4 Scn2a1 Nav1.2 + Scn5a Nav1.5 TaqMan assays Scn8a Nav1.6 Kcna2 Kv1.2 Dissociated midbrain neurons Kcnb1 Kv2.1 Kcnd2 Kv4.2 Kcnd3 Kv4.3 Targeted reverse transcription Kcnip3 KCHIP3 and preamplification Kcnj11 Kir6.2 Abcc8 SUR1 Abcc9 SUR2B Fluorescence imaging Kcnj5 GIRK4 Kcnj6 GIRK2 GFP Kcnn3 SK3 DA metabolism & signaling Non-GFP Microfluidic quantitative PCR Th TH Slc6a3 DAT Assays Samples Slc18a2 VMAT2 Pipette harvesting Drd2 D2R Glia-specific markers Gfap GFAP Aldh1l1 FDH Calcium-ion-binding Calb1 CB Pvalb PV Other neuronal markers b 40 Slc17a6 VGLUT2 30 Gad1 GAD67 20 Gad2 GAD65 10 Chat CHAT Cell count 0 Penk ENK 16 GFP Neuronal structure Non-GFP 14 Ncam2 NCAM2 WT 12 Map2 MAP2 10 Nefm NEF3 Th (TH) 8 Neuronal activation x E Creb1 CREB 2 6 g DA neurons Fos C-FOS o 4 L (n=111) Bdnf BDNF 2 nDA neurons Housekeeping/ 0 (n=37) transcriptional factors 0 2 4 6 8 10 12 14 16 0 10 20 30 40 Hprt HGPRT Tbp TBP Log2Ex Slc6a3 (DAT) Cell count Tbx3 TBX3 Supplementary Figure 1. Experimental workflow and classification of DA and nDA neurons. a, schematic showing the workflow for the single-cell gene profiling. Left, neurons were manually collected after acute dissociation from microdissected midbrain slices containing the substantia nigra pars compacta and reticulata (SNc, SNr) and part of the ventral tegmental area (VTA) obtained from TH-GFP mice.