Pharmacological Approaches for the Modulation of the Potassium Channel KV4.X and Kchips
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Spatially Heterogeneous Choroid Plexus Transcriptomes Encode Positional Identity and Contribute to Regional CSF Production
The Journal of Neuroscience, March 25, 2015 • 35(12):4903–4916 • 4903 Development/Plasticity/Repair Spatially Heterogeneous Choroid Plexus Transcriptomes Encode Positional Identity and Contribute to Regional CSF Production Melody P. Lun,1,3 XMatthew B. Johnson,2 Kevin G. Broadbelt,1 Momoko Watanabe,4 Young-jin Kang,4 Kevin F. Chau,1 Mark W. Springel,1 Alexandra Malesz,1 Andre´ M.M. Sousa,5 XMihovil Pletikos,5 XTais Adelita,1,6 Monica L. Calicchio,1 Yong Zhang,7 Michael J. Holtzman,7 Hart G.W. Lidov,1 XNenad Sestan,5 Hanno Steen,1 XEdwin S. Monuki,4 and Maria K. Lehtinen1 1Department of Pathology, and 2Division of Genetics, Boston Children’s Hospital, Boston, Massachusetts 02115, 3Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts 02118, 4Department of Pathology and Laboratory Medicine, University of California Irvine School of Medicine, Irvine, California 92697, 5Department of Neurobiology and Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, Connecticut 06510, 6Department of Biochemistry, Federal University of Sa˜o Paulo, Sa˜o Paulo 04039, Brazil, and 7Pulmonary and Critical Care Medicine, Department of Medicine, Washington University, St Louis, Missouri 63110 A sheet of choroid plexus epithelial cells extends into each cerebral ventricle and secretes signaling factors into the CSF. To evaluate whether differences in the CSF proteome across ventricles arise, in part, from regional differences in choroid plexus gene expression, we defined the transcriptome of lateral ventricle (telencephalic) versus fourth ventricle (hindbrain) choroid plexus. We find that positional identitiesofmouse,macaque,andhumanchoroidplexiderivefromgeneexpressiondomainsthatparalleltheiraxialtissuesoforigin.We thenshowthatmolecularheterogeneitybetweentelencephalicandhindbrainchoroidplexicontributestoregion-specific,age-dependent protein secretion in vitro. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Genome-Wide Screening Identifies a KCNIP1 Copy Number Variant As a Genetic Predictor for Atrial Fibrillation
ARTICLE Received 21 Oct 2014 | Accepted 16 Nov 2015 | Published 2 Feb 2016 DOI: 10.1038/ncomms10190 OPEN Genome-wide screening identifies a KCNIP1 copy number variant as a genetic predictor for atrial fibrillation Chia-Ti Tsai1,2,3, Chia-Shan Hsieh4,5, Sheng-Nan Chang2,3, Eric Y. Chuang4,5, Kwo-Chang Ueng6,7, Chin-Feng Tsai6,7, Tsung-Hsien Lin8, Cho-Kai Wu1, Jen-Kuang Lee1, Lian-Yu Lin1, Yi-Chih Wang1, Chih-Chieh Yu1, Ling-Ping Lai1, Chuen-Den Tseng1, Juey-Jen Hwang1, Fu-Tien Chiang1,9 & Jiunn-Lee Lin1 Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. Previous genome- wide association studies had identified single-nucleotide polymorphisms in several genomic regions to be associated with AF. In human genome, copy number variations (CNVs) are known to contribute to disease susceptibility. Using a genome-wide multistage approach to identify AF susceptibility CNVs, we here show a common 4,470-bp diallelic CNV in the first intron of potassium interacting channel 1 gene (KCNIP1) is strongly associated with AF in Taiwanese populations (odds ratio ¼ 2.27 for insertion allele; P ¼ 6.23 Â 10 À 24). KCNIP1 insertion is associated with higher KCNIP1 mRNA expression. KCNIP1-encoded protein potassium interacting channel 1 (KCHIP1) is physically associated with potassium Kv channels and modulates atrial transient outward current in cardiac myocytes. Overexpression of KCNIP1 results in inducible AF in zebrafish. In conclusions, a common CNV in KCNIP1 gene is a genetic predictor of AF risk possibly pointing to a functional pathway. 1 Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, No. -
Emerging Roles for Multifunctional Ion Channel Auxiliary Subunits in Cancer T ⁎ Alexander S
Cell Calcium 80 (2019) 125–140 Contents lists available at ScienceDirect Cell Calcium journal homepage: www.elsevier.com/locate/ceca Emerging roles for multifunctional ion channel auxiliary subunits in cancer T ⁎ Alexander S. Hawortha,b, William J. Brackenburya,b, a Department of Biology, University of York, Heslington, York, YO10 5DD, UK b York Biomedical Research Institute, University of York, Heslington, York, YO10 5DD, UK ARTICLE INFO ABSTRACT Keywords: Several superfamilies of plasma membrane channels which regulate transmembrane ion flux have also been Auxiliary subunit shown to regulate a multitude of cellular processes, including proliferation and migration. Ion channels are Cancer typically multimeric complexes consisting of conducting subunits and auxiliary, non-conducting subunits. Calcium channel Auxiliary subunits modulate the function of conducting subunits and have putative non-conducting roles, further Chloride channel expanding the repertoire of cellular processes governed by ion channel complexes to processes such as trans- Potassium channel cellular adhesion and gene transcription. Given this expansive influence of ion channels on cellular behaviour it Sodium channel is perhaps no surprise that aberrant ion channel expression is a common occurrence in cancer. This review will − focus on the conducting and non-conducting roles of the auxiliary subunits of various Ca2+,K+,Na+ and Cl channels and the burgeoning evidence linking such auxiliary subunits to cancer. Several subunits are upregu- lated (e.g. Cavβ,Cavγ) and downregulated (e.g. Kvβ) in cancer, while other subunits have been functionally implicated as oncogenes (e.g. Navβ1,Cavα2δ1) and tumour suppressor genes (e.g. CLCA2, KCNE2, BKγ1) based on in vivo studies. The strengthening link between ion channel auxiliary subunits and cancer has exposed these subunits as potential biomarkers and therapeutic targets. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
DNA Methylation Associated with Postpartum Depressive Symptoms Overlaps Findings from a Genome-Wide Association Meta-Analysis of Depression Dana M
Lapato et al. Clinical Epigenetics (2019) 11:169 https://doi.org/10.1186/s13148-019-0769-z RESEARCH Open Access DNA methylation associated with postpartum depressive symptoms overlaps findings from a genome-wide association meta-analysis of depression Dana M. Lapato1,2* , Roxann Roberson-Nay2,3, Robert M. Kirkpatrick2,3, Bradley T. Webb2,3, Timothy P. York1,2,4† and Patricia A. Kinser5† Abstract Background: Perinatal depressive symptoms have been linked to adverse maternal and infant health outcomes. The etiology associated with perinatal depressive psychopathology is poorly understood, but accumulating evidence suggests that understanding inter-individual differences in DNA methylation (DNAm) patterning may provide insight regarding the genomic regions salient to the risk liability of perinatal depressive psychopathology. Results: Genome-wide DNAm was measured in maternal peripheral blood using the Infinium MethylationEPIC microarray. Ninety-two participants (46% African-American) had DNAm samples that passed all quality control metrics, and all participants were within 7 months of delivery. Linear models were constructed to identify differentially methylated sites and regions, and permutation testing was utilized to assess significance. Differentially methylated regions (DMRs) were defined as genomic regions of consistent DNAm change with at least two probes within 1 kb of each other. Maternal age, current smoking status, estimated cell-type proportions, ancestry-relevant principal components, days since delivery, and chip position served as covariates to adjust for technical and biological factors. Current postpartum depressive symptoms were measured using the Edinburgh Postnatal Depression Scale. Ninety-eight DMRs were significant (false discovery rate < 5%) and overlapped 92 genes. Three of the regions overlap loci from the latest Psychiatric Genomics Consortium meta-analysis of depression. -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
Modulation of Neuronal Ryanodine Receptor-Mediated Calcium
MODULATION OF NEURONAL RYANODINE RECEPTOR-MEDIATED CALCIUM SIGNALING BY CALSENILIN A DISSERTATION IN Cell Biology and Biophysics and Molecular Biology and Biochemistry Presented to the Faculty of the University of Missouri-Kansas City in partial fulfillment of the requirements for the degree DOCTOR OF PHILOSOPHY by MICHAEL ANTHONY GRILLO M.S., University of Missouri-Kansas City, Kansas City, MO 2010 B.S., Texas Wesleyan University, TX, 2000 Kansas City, MO 2013 2013 MICHAEL ANTHONY GRILLO ALL RIGHTS RESERVED MODULATION OF NEURONAL RYANODINE RECEPTOR-MEDIATED CALCIUM SIGNALING BY CALSENILIN Michael Anthony Grillo, Candidate for the Doctor of Philosophy Degree University of Missouri-Kansas City, 2013 ABSTRACT Calsenilin is calcium (Ca2+) ion Ca2+ binding protein found in the nucleus, plasma membrane, and endoplasmic reticulum of neuronal cells. Calsenilin was first found to interact with two proteins involved in early-onset familial Alzheimer disease (AD), presenilin 1 and presenilin 2. Several studies have shown overexpression of calsenilin to alter Ca2+ signaling and cell viability in several neuronal cell models of AD. In this study, we show that calsenilin directly interacts with the ryanodine receptor (RyR) modulating Ca2+ release from this intracellular Ca2+-activated Ca2+ release channel. Co-expression, co-localization, and protein-protein interaction of calsenilin and RyR in primary neurons and in central nervous system tissue were determined using immunoblotting, immunohistochemistry and co-immunoprecipitation. Mechanisms of intracellular Ca2+- signaling controlled by the interaction of calsenilin and RyR, including changes in the release of Ca2+ from intracellular stores, were measured with single channel electrophysiology and live-cell optical imaging techniques. Immunohistochemical studies showed a high degree of co-localization between calsenilin and the RyR in neurons of the central nervous system. -
Dimethylation of Histone 3 Lysine 9 Is Sensitive to the Epileptic Activity
1368 MOLECULAR MEDICINE REPORTS 17: 1368-1374, 2018 Dimethylation of Histone 3 Lysine 9 is sensitive to the epileptic activity, and affects the transcriptional regulation of the potassium channel Kcnj10 gene in epileptic rats SHAO-PING ZHANG1,2*, MAN ZHANG1*, HONG TAO1, YAN LUO1, TAO HE3, CHUN-HUI WANG3, XIAO-CHENG LI3, LING CHEN1,3, LIN-NA ZHANG1, TAO SUN2 and QI-KUAN HU1-3 1Department of Physiology; 2Ningxia Key Laboratory of Cerebrocranial Diseases, Incubation Base of National Key Laboratory, Ningxia Medical University; 3General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750004, P.R. China Received February 18, 2017; Accepted September 13, 2017 DOI: 10.3892/mmr.2017.7942 Abstract. Potassium channels can be affected by epileptic G9a by 2-(Hexahydro-4-methyl-1H-1,4-diazepin-1-yl)-6,7-di- seizures and serve a crucial role in the pathophysiology of methoxy-N-(1-(phenyl-methyl)-4-piperidinyl)-4-quinazolinamine epilepsy. Dimethylation of histone 3 lysine 9 (H3K9me2) and tri-hydrochloride hydrate (bix01294) resulted in upregulation its enzyme euchromatic histone-lysine N-methyltransferase 2 of the expression of Kir4.1 proteins. The present study demon- (G9a) are the major epigenetic modulators and are associated strated that H3K9me2 and G9a are sensitive to epileptic seizure with gene silencing. Insight into whether H3K9me2 and G9a activity during the acute phase of epilepsy and can affect the can respond to epileptic seizures and regulate expression of transcriptional regulation of the Kcnj10 channel. genes encoding potassium channels is the main purpose of the present study. A total of 16 subtypes of potassium channel Introduction genes in pilocarpine-modelled epileptic rats were screened by reverse transcription-quantitative polymerase chain reac- Epilepsies are disorders of neuronal excitability, characterized tion, and it was determined that the expression ATP-sensitive by spontaneous and recurrent seizures. -
Pflugers Final
CORE Metadata, citation and similar papers at core.ac.uk Provided by Serveur académique lausannois A comprehensive analysis of gene expression profiles in distal parts of the mouse renal tubule. Sylvain Pradervand2, Annie Mercier Zuber1, Gabriel Centeno1, Olivier Bonny1,3,4 and Dmitri Firsov1,4 1 - Department of Pharmacology and Toxicology, University of Lausanne, 1005 Lausanne, Switzerland 2 - DNA Array Facility, University of Lausanne, 1015 Lausanne, Switzerland 3 - Service of Nephrology, Lausanne University Hospital, 1005 Lausanne, Switzerland 4 – these two authors have equally contributed to the study to whom correspondence should be addressed: Dmitri FIRSOV Department of Pharmacology and Toxicology, University of Lausanne, 27 rue du Bugnon, 1005 Lausanne, Switzerland Phone: ++ 41-216925406 Fax: ++ 41-216925355 e-mail: [email protected] and Olivier BONNY Department of Pharmacology and Toxicology, University of Lausanne, 27 rue du Bugnon, 1005 Lausanne, Switzerland Phone: ++ 41-216925417 Fax: ++ 41-216925355 e-mail: [email protected] 1 Abstract The distal parts of the renal tubule play a critical role in maintaining homeostasis of extracellular fluids. In this review, we present an in-depth analysis of microarray-based gene expression profiles available for microdissected mouse distal nephron segments, i.e., the distal convoluted tubule (DCT) and the connecting tubule (CNT), and for the cortical portion of the collecting duct (CCD) (Zuber et al., 2009). Classification of expressed transcripts in 14 major functional gene categories demonstrated that all principal proteins involved in maintaining of salt and water balance are represented by highly abundant transcripts. However, a significant number of transcripts belonging, for instance, to categories of G protein-coupled receptors (GPCR) or serine-threonine kinases exhibit high expression levels but remain unassigned to a specific renal function. -
Spatial RNA Sequencing Identifies Robust Markers Of
fnmol-14-699562 July 2, 2021 Time: 17:11 # 1 ORIGINAL RESEARCH published: 08 July 2021 doi: 10.3389/fnmol.2021.699562 Spatial RNA Sequencing Identifies Robust Markers of Vulnerable and Resistant Human Midbrain Dopamine Neurons and Their Expression in Parkinson’s Disease Julio Aguila1†, Shangli Cheng2,3†, Nigel Kee1,4,5, Ming Cao1, Menghan Wang2,3, Qiaolin Deng2,3*† and Eva Hedlund1,4,5*† 1 Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden, 2 Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden, 3 Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden, 4 Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden, 5 Department Edited by: of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden Ildikó Rácz, University Hospital Bonn, Germany Reviewed by: Defining transcriptional profiles of substantia nigra pars compacta (SNc) and ventral Sandra Blaess, tegmental area (VTA) dopamine neurons is critical to understanding their differential University of Bonn, Germany Kelvin C. Luk, vulnerability in Parkinson’s Disease (PD). Here, we determine transcriptomes of human University of Pennsylvania, SNc and VTA dopamine neurons using LCM-seq on a large sample cohort. We United States apply a bootstrapping strategy as sample input to DESeq2 and identify 33 stably *Correspondence: differentially expressed genes (DEGs) between these two subpopulations. We also Qiaolin Deng [email protected] compute a minimal sample size for identification of -
Target Gene Gene Description Validation Diana Miranda
Supplemental Table S1. Mmu-miR-183-5p in silico predicted targets. TARGET GENE GENE DESCRIPTION VALIDATION DIANA MIRANDA MIRBRIDGE PICTAR PITA RNA22 TARGETSCAN TOTAL_HIT AP3M1 adaptor-related protein complex 3, mu 1 subunit V V V V V V V 7 BTG1 B-cell translocation gene 1, anti-proliferative V V V V V V V 7 CLCN3 chloride channel, voltage-sensitive 3 V V V V V V V 7 CTDSPL CTD (carboxy-terminal domain, RNA polymerase II, polypeptide A) small phosphatase-like V V V V V V V 7 DUSP10 dual specificity phosphatase 10 V V V V V V V 7 MAP3K4 mitogen-activated protein kinase kinase kinase 4 V V V V V V V 7 PDCD4 programmed cell death 4 (neoplastic transformation inhibitor) V V V V V V V 7 PPP2R5C protein phosphatase 2, regulatory subunit B', gamma V V V V V V V 7 PTPN4 protein tyrosine phosphatase, non-receptor type 4 (megakaryocyte) V V V V V V V 7 EZR ezrin V V V V V V 6 FOXO1 forkhead box O1 V V V V V V 6 ANKRD13C ankyrin repeat domain 13C V V V V V V 6 ARHGAP6 Rho GTPase activating protein 6 V V V V V V 6 BACH2 BTB and CNC homology 1, basic leucine zipper transcription factor 2 V V V V V V 6 BNIP3L BCL2/adenovirus E1B 19kDa interacting protein 3-like V V V V V V 6 BRMS1L breast cancer metastasis-suppressor 1-like V V V V V V 6 CDK5R1 cyclin-dependent kinase 5, regulatory subunit 1 (p35) V V V V V V 6 CTDSP1 CTD (carboxy-terminal domain, RNA polymerase II, polypeptide A) small phosphatase 1 V V V V V V 6 DCX doublecortin V V V V V V 6 ENAH enabled homolog (Drosophila) V V V V V V 6 EPHA4 EPH receptor A4 V V V V V V 6 FOXP1 forkhead box P1 V