DFNA49, a Novel Locus for Autosomal Dominant Non- Syndromic Hearing
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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. -
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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. -
Supplementary Table 1. Pain and PTSS Associated Genes (N = 604
Supplementary Table 1. Pain and PTSS associated genes (n = 604) compiled from three established pain gene databases (PainNetworks,[61] Algynomics,[52] and PainGenes[42]) and one PTSS gene database (PTSDgene[88]). These genes were used in in silico analyses aimed at identifying miRNA that are predicted to preferentially target this list genes vs. a random set of genes (of the same length). ABCC4 ACE2 ACHE ACPP ACSL1 ADAM11 ADAMTS5 ADCY5 ADCYAP1 ADCYAP1R1 ADM ADORA2A ADORA2B ADRA1A ADRA1B ADRA1D ADRA2A ADRA2C ADRB1 ADRB2 ADRB3 ADRBK1 ADRBK2 AGTR2 ALOX12 ANO1 ANO3 APOE APP AQP1 AQP4 ARL5B ARRB1 ARRB2 ASIC1 ASIC2 ATF1 ATF3 ATF6B ATP1A1 ATP1B3 ATP2B1 ATP6V1A ATP6V1B2 ATP6V1G2 AVPR1A AVPR2 BACE1 BAMBI BDKRB2 BDNF BHLHE22 BTG2 CA8 CACNA1A CACNA1B CACNA1C CACNA1E CACNA1G CACNA1H CACNA2D1 CACNA2D2 CACNA2D3 CACNB3 CACNG2 CALB1 CALCRL CALM2 CAMK2A CAMK2B CAMK4 CAT CCK CCKAR CCKBR CCL2 CCL3 CCL4 CCR1 CCR7 CD274 CD38 CD4 CD40 CDH11 CDK5 CDK5R1 CDKN1A CHRM1 CHRM2 CHRM3 CHRM5 CHRNA5 CHRNA7 CHRNB2 CHRNB4 CHUK CLCN6 CLOCK CNGA3 CNR1 COL11A2 COL9A1 COMT COQ10A CPN1 CPS1 CREB1 CRH CRHBP CRHR1 CRHR2 CRIP2 CRYAA CSF2 CSF2RB CSK CSMD1 CSNK1A1 CSNK1E CTSB CTSS CX3CL1 CXCL5 CXCR3 CXCR4 CYBB CYP19A1 CYP2D6 CYP3A4 DAB1 DAO DBH DBI DICER1 DISC1 DLG2 DLG4 DPCR1 DPP4 DRD1 DRD2 DRD3 DRD4 DRGX DTNBP1 DUSP6 ECE2 EDN1 EDNRA EDNRB EFNB1 EFNB2 EGF EGFR EGR1 EGR3 ENPP2 EPB41L2 EPHB1 EPHB2 EPHB3 EPHB4 EPHB6 EPHX2 ERBB2 ERBB4 EREG ESR1 ESR2 ETV1 EZR F2R F2RL1 F2RL2 FAAH FAM19A4 FGF2 FKBP5 FLOT1 FMR1 FOS FOSB FOSL2 FOXN1 FRMPD4 FSTL1 FYN GABARAPL1 GABBR1 GABBR2 GABRA2 GABRA4 -
(253), Re15. [DOI: 10.1126/Stke.2532004Re15] 2004
The VGL-Chanome: A Protein Superfamily Specialized for Electrical Signaling and Ionic Homeostasis Frank H. Yu and William A. Catterall (5 October 2004) Sci. STKE 2004 (253), re15. [DOI: 10.1126/stke.2532004re15] The following resources related to this article are available online at http://stke.sciencemag.org. This information is current as of 7 July 2009. Article Tools Visit the online version of this article to access the personalization and article tools: http://stke.sciencemag.org/cgi/content/full/sigtrans;2004/253/re15 Supplemental "Supplementary Table 1" Materials http://stke.sciencemag.org/cgi/content/full/sigtrans;2004/253/re15/DC1 Related Content The editors suggest related resources on Science's sites: http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2006/360/tw376 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2006/350/pe33 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2006/333/tw149 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2005/307/pe50 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2005/302/pe46 Downloaded from http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2005/270/tw55 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2004/233/pe22 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2004/233/pe23 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2004/227/pe16 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2004/219/re4 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2003/194/pe32 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2003/188/re10 -
Ion Channels
UC Davis UC Davis Previously Published Works Title THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels. Permalink https://escholarship.org/uc/item/1442g5hg Journal British journal of pharmacology, 176 Suppl 1(S1) ISSN 0007-1188 Authors Alexander, Stephen PH Mathie, Alistair Peters, John A et al. Publication Date 2019-12-01 DOI 10.1111/bph.14749 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: Ion channels. British Journal of Pharmacology (2019) 176, S142–S228 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels Stephen PH Alexander1 , Alistair Mathie2 ,JohnAPeters3 , Emma L Veale2 , Jörg Striessnig4 , Eamonn Kelly5, Jane F Armstrong6 , Elena Faccenda6 ,SimonDHarding6 ,AdamJPawson6 , Joanna L Sharman6 , Christopher Southan6 , Jamie A Davies6 and CGTP Collaborators 1School of Life Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK 3Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK 4Pharmacology and Toxicology, Institute of Pharmacy, University of Innsbruck, A-6020 Innsbruck, Austria 5School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, BS8 1TD, UK 6Centre for Discovery Brain Science, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. -
Comparative Transcriptome Profiling of the Human and Mouse Dorsal Root Ganglia: an RNA-Seq-Based Resource for Pain and Sensory Neuroscience Research
bioRxiv preprint doi: https://doi.org/10.1101/165431; this version posted October 13, 2017. 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. Title: Comparative transcriptome profiling of the human and mouse dorsal root ganglia: An RNA-seq-based resource for pain and sensory neuroscience research Short Title: Human and mouse DRG comparative transcriptomics Pradipta Ray 1, 2 #, Andrew Torck 1 , Lilyana Quigley 1, Andi Wangzhou 1, Matthew Neiman 1, Chandranshu Rao 1, Tiffany Lam 1, Ji-Young Kim 1, Tae Hoon Kim 2, Michael Q. Zhang 2, Gregory Dussor 1 and Theodore J. Price 1, # 1 The University of Texas at Dallas, School of Behavioral and Brain Sciences 2 The University of Texas at Dallas, Department of Biological Sciences # Corresponding authors Theodore J Price Pradipta Ray School of Behavioral and Brain Sciences School of Behavioral and Brain Sciences The University of Texas at Dallas The University of Texas at Dallas BSB 14.102G BSB 10.608 800 W Campbell Rd 800 W Campbell Rd Richardson TX 75080 Richardson TX 75080 972-883-4311 972-883-7262 [email protected] [email protected] Number of pages: 27 Number of figures: 9 Number of tables: 8 Supplementary Figures: 4 Supplementary Files: 6 Word count: Abstract = 219; Introduction = 457; Discussion = 1094 Conflict of interest: The authors declare no conflicts of interest Patient anonymity and informed consent: Informed consent for human tissue sources were obtained by Anabios, Inc. (San Diego, CA). Human studies: This work was approved by The University of Texas at Dallas Institutional Review Board (MR 15-237). -
Supplementary Table 1. Only Kcnj9 Shows Differential Expression
Supplementary Table 1. Only Kcnj9 shows differential expression consistent with the phenotype in both congenic (R4)/background (B6) and wildtype/Kcnj9 mutant comparisons. High/Low Withdrawal Genotype Gene TaqMan Probe (mRNA expression ratio) R4 congenic/B6 WT/Kcnj9-/- Wdr42a Mm00463652_m1 0.86 (p =1.5x10-4) 1.18 (NS) Pea15a Mm00440716_g1 1.02 (NS) Casq1 Mm00486725_m1 5.16 (p =8.0x10-13) 0.93 (NS) Atp1a4 Mm01290854_g1 20.67 (p =4.0x10-16) 0.88 (NS) Igsf8 Mm00712984_m1 0.84 (p =5.3x10-4) 1.19 (NS) Atp1a2 Mm00617899_m1 1.00 (NS) 0.98(NS) Atp1a2 custom 4.13 (p =1.3x10-20) 1.09 (NS) WT/Kcnj9+/- Kcnj9* custom 1.17 (p =3.4x10-5) 1.96 (p =6.5x10-7) Kcnj10 Mm00445028_m1 1.31 (p =1.7x10-6) 1.02 (NS) Pigm Mm00452712_s1 1.07 (NS) 1.01 (NS) Slamf9 Mm00504048_m1 0.93 (NS) Igsf9 Mm00459672_m1 1.33 (p =1.0x10-5) 0.74 (NS) Tagln2 Mm00724259_m1 0.97 (NS) Ccdc19 Mm01283396_g1 0.93 (NS) Vsig8 Mm00624907_m1 6.07 (p =1.0x10-3) 0.19 (p =3.3x10-4) In null mutant models, there is typical carryover of the embryonic stem (ES) cell-derived genotype (i.e., 129Sv/J in the Kcnj9-/- mice). In order to assess the potential impact of the other confirmed quantitative trait gene (QTG) candidates on the Kcnj9-/- phenotype (reduced withdrawal severity), we compared their expression in Kcnj9 mutant and wildtype (WT) littermates (whole brain). We also tested Pigm, which did not differ in expression between chromosome 1 congenic (R4) and background strain (B6) mice, but is one of six genes (Atp1a4- Atp1a2-Igsf8-Kcnj9-Kcnj10-Pigm) implicated in CNS excitability (Ferraro et al 2007). -
Viewer [Data Initial flurothyl-Induced Gsts Are Consistent with Not Shown (Yang Et Al
INVESTIGATION Multidimensional Genetic Analysis of Repeated Seizures in the Hybrid Mouse Diversity Panel Reveals a Novel Epileptogenesis Susceptibility Locus Russell J. Ferland,*,†,‡,1 Jason Smith,§ Dominick Papandrea,‡ Jessica Gracias,** Leah Hains,§ Sridhar B. Kadiyala,* Brittany O’Brien,** Eun Yong Kang,†† Barbara S. Beyer,* and Bruce J. Herron§,**,1 *Department of Neuroscience and Experimental Therapeutics and †Department of Neurology, Albany Medical College, Albany, New York 12208, ‡Department of Biological Sciences, Center for Biotechnology and Interdisciplinary Studies, § Rensselaer Polytechnic Institute, Troy, New York 12180, Wadsworth Center, New York State Department of Health, Albany, New York 12201 **Department of Biomedical Sciences, School of Public Health, University at Albany, State University of New York, New York 12201, and ††Department of Computer Science, University of California, Los Angeles, California 90095 ORCID IDs: 0000-0002-8044-2479 (R.J.F.); 0000-0002-0233-9513 (B.J.H.) ABSTRACT Epilepsy has many causes and comorbidities affecting as many as 4% of people in their KEYWORDS lifetime. Both idiopathic and symptomatic epilepsies are highly heritable, but genetic factors are difficult to genetics characterize among humans due to complex disease etiologies. Rodent genetic studies have been critical to epilepsy the discovery of seizure susceptibility loci, including Kcnj10 mutations identified in both mouse and human preclinical model cohorts. However, genetic analyses of epilepsy phenotypes in mice to date have been carried out as acute neuronal studies in seizure-naive animals or in Mendelian models of epilepsy, while humans with epilepsy have a plasticity history of recurrent seizures that also modify brain physiology. We have applied a repeated seizure model to a complex traits genetic reference population, following seizure susceptibility over a 36-d period. -
Subcellular Localization of K+ Channels in Mammalian Brain Neurons: Remarkable Precision in the Midst of Extraordinary Complexity
Neuron Review Subcellular Localization of K+ Channels in Mammalian Brain Neurons: Remarkable Precision in the Midst of Extraordinary Complexity James S. Trimmer1,2,* 1Department of Neurobiology, Physiology, and Behavior 2Department of Physiology and Membrane Biology University of California, Davis, Davis, CA 95616, USA *Correspondence: [email protected] http://dx.doi.org/10.1016/j.neuron.2014.12.042 Potassium channels (KChs) are the most diverse ion channels, in part due to extensive combinatorial assem- bly of a large number of principal and auxiliary subunits into an assortment of KCh complexes. Their structural and functional diversity allows KChs to play diverse roles in neuronal function. Localization of KChs within specialized neuronal compartments defines their physiological role and also fundamentally impacts their activity, due to localized exposure to diverse cellular determinants of channel function. Recent studies in mammalian brain reveal an exquisite refinement of KCh subcellular localization. This includes axonal KChs at the initial segment, and near/within nodes of Ranvier and presynaptic terminals, dendritic KChs found at sites reflecting specific synaptic input, and KChs defining novel neuronal compartments. Painting the remarkable diversity of KChs onto the complex architecture of mammalian neurons creates an elegant pic- ture of electrical signal processing underlying the sophisticated function of individual neuronal compart- ments, and ultimately neurotransmission and behavior. Introduction genes are expressed in distinct cellular expression patterns Mammalian brain neurons are distinguished from other cells by throughout the brain, such that particular neurons express spe- extreme molecular and structural complexity that is intimately cific combinations of KCh a and auxiliary subunits. However, the linked to the array of intra- and intercellular signaling events proteomic complexity of KChs is much greater, as KChs exist as that underlie brain function. -
1 1 2 3 Cell Type-Specific Transcriptomics of Hypothalamic
1 2 3 4 Cell type-specific transcriptomics of hypothalamic energy-sensing neuron responses to 5 weight-loss 6 7 Fredrick E. Henry1,†, Ken Sugino1,†, Adam Tozer2, Tiago Branco2, Scott M. Sternson1,* 8 9 1Janelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 10 20147, USA. 11 2Division of Neurobiology, Medical Research Council Laboratory of Molecular Biology, 12 Cambridge CB2 0QH, UK 13 14 †Co-first author 15 *Correspondence to: [email protected] 16 Phone: 571-209-4103 17 18 Authors have no competing interests 19 1 20 Abstract 21 Molecular and cellular processes in neurons are critical for sensing and responding to energy 22 deficit states, such as during weight-loss. AGRP neurons are a key hypothalamic population 23 that is activated during energy deficit and increases appetite and weight-gain. Cell type-specific 24 transcriptomics can be used to identify pathways that counteract weight-loss, and here we 25 report high-quality gene expression profiles of AGRP neurons from well-fed and food-deprived 26 young adult mice. For comparison, we also analyzed POMC neurons, an intermingled 27 population that suppresses appetite and body weight. We find that AGRP neurons are 28 considerably more sensitive to energy deficit than POMC neurons. Furthermore, we identify cell 29 type-specific pathways involving endoplasmic reticulum-stress, circadian signaling, ion 30 channels, neuropeptides, and receptors. Combined with methods to validate and manipulate 31 these pathways, this resource greatly expands molecular insight into neuronal regulation of 32 body weight, and may be useful for devising therapeutic strategies for obesity and eating 33 disorders. -
Single Cell Transcriptomics in Schizophrenia Postmortem Brain: Moving Beyond Bulk Lysate
SINGLE CELL TRANSCRIPTOMICS IN SCHIZOPHRENIA POSTMORTEM BRAIN: MOVING BEYOND BULK LYSATE Richard Crist June 8th, 2020 Schizophrenia Transcriptomics ■ Microarray and RNA sequencing ■ Differentially expressed genes across many cortical and sub-cortical regions – Dorsolateral prefrontal cortex (dlPFC) (Fillman et al, 2013) – Anterior Cingulate Cortex (Zhao et al, 2015; Hong et al, 2013) – Superior temporal gyrus (Wu et al, 2012) – Hippocampus (Hwang et al, 2013; Kohen et al, 2014) – Amygdala (Chang et al, 2017) ■ Enrichment of pathways and gene networks – Neural development – Axon guidance – Inflammation and immune-related proteins CommonMind Consortium ■ Largest transcriptomic analysis of schizophrenia – 258 cases/279 controls – RNAseq in dlPFC ■ 693 differentially expressed genes Fromer et al, 2016 Cell Diversity in Postmortem Brain ■ Brain, like all tissues, consists of many cell types – Major cell populations (e.g. astrocytes) – Distinct sub-populations (e.g. PVALB+ interneurons) ■ Problems in assessing differential expression in bulk lysate – Inability to identify which cells are affected – Missed expression changes in less common cell types Penney et al, 2019 Schizophrenia Single Cell Transcriptomics ■ Immunofluorescence and laser capture microdissection to collect individual populations of cells ■ Layer III/V pyramidal neurons (Arion et al, 2017) – 72 PFC samples – 36 cases/36 controls – 100 cells per layer for each sample – Expression assessed by microarray – 1,783 differentially expressed probe sets corresponding to 1,420 genes -
CREB-Dependent Transcription in Astrocytes: Signalling Pathways, Gene Profiles and Neuroprotective Role in Brain Injury
CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Tesis doctoral Luis Pardo Fernández Bellaterra, Septiembre 2015 Instituto de Neurociencias Departamento de Bioquímica i Biologia Molecular Unidad de Bioquímica y Biologia Molecular Facultad de Medicina CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Memoria del trabajo experimental para optar al grado de doctor, correspondiente al Programa de Doctorado en Neurociencias del Instituto de Neurociencias de la Universidad Autónoma de Barcelona, llevado a cabo por Luis Pardo Fernández bajo la dirección de la Dra. Elena Galea Rodríguez de Velasco y la Dra. Roser Masgrau Juanola, en el Instituto de Neurociencias de la Universidad Autónoma de Barcelona. Doctorando Directoras de tesis Luis Pardo Fernández Dra. Elena Galea Dra. Roser Masgrau In memoriam María Dolores Álvarez Durán Abuela, eres la culpable de que haya decidido recorrer el camino de la ciencia. Que estas líneas ayuden a conservar tu recuerdo. A mis padres y hermanos, A Meri INDEX I Summary 1 II Introduction 3 1 Astrocytes: physiology and pathology 5 1.1 Anatomical organization 6 1.2 Origins and heterogeneity 6 1.3 Astrocyte functions 8 1.3.1 Developmental functions 8 1.3.2 Neurovascular functions 9 1.3.3 Metabolic support 11 1.3.4 Homeostatic functions 13 1.3.5 Antioxidant functions 15 1.3.6 Signalling functions 15 1.4 Astrocytes in brain pathology 20 1.5 Reactive astrogliosis 22 2 The transcription