The Structural Basis of Function in Cys-Loop Receptors
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Downloaded from the National Database for Autism Research (NDAR)
International Journal of Molecular Sciences Article Phenotypic Subtyping and Re-Analysis of Existing Methylation Data from Autistic Probands in Simplex Families Reveal ASD Subtype-Associated Differentially Methylated Genes and Biological Functions Elizabeth C. Lee y and Valerie W. Hu * Department of Biochemistry and Molecular Medicine, The George Washington University, School of Medicine and Health Sciences, Washington, DC 20037, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-202-994-8431 Current address: W. Harry Feinstone Department of Molecular Microbiology and Immunology, y Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. Received: 25 August 2020; Accepted: 17 September 2020; Published: 19 September 2020 Abstract: Autism spectrum disorder (ASD) describes a group of neurodevelopmental disorders with core deficits in social communication and manifestation of restricted, repetitive, and stereotyped behaviors. Despite the core symptomatology, ASD is extremely heterogeneous with respect to the severity of symptoms and behaviors. This heterogeneity presents an inherent challenge to all large-scale genome-wide omics analyses. In the present study, we address this heterogeneity by stratifying ASD probands from simplex families according to the severity of behavioral scores on the Autism Diagnostic Interview-Revised diagnostic instrument, followed by re-analysis of existing DNA methylation data from individuals in three ASD subphenotypes in comparison to that of their respective unaffected siblings. We demonstrate that subphenotyping of cases enables the identification of over 1.6 times the number of statistically significant differentially methylated regions (DMR) and DMR-associated genes (DAGs) between cases and controls, compared to that identified when all cases are combined. Our analyses also reveal ASD-related neurological functions and comorbidities that are enriched among DAGs in each phenotypic subgroup but not in the combined case group. -
Associations of Serotonin Receptor Gene HTR3A, HTR3B, and HTR3A Haplotypes with Bipolar Disorder in Chinese Patients
Associations of serotonin receptor gene HTR3A, HTR3B, and HTR3A haplotypes with bipolar disorder in Chinese patients J. Jian1,2*, C. Li1,2*, J. Xu3, D. Qiao2, G. Mi2, X. Chen2 and M. Tang2 1Shandong University School of Medicine, Ji’nan, Shandong, China 2Shandong Mental Health Center Ji’nan, Shandong, China 3Business Management Department, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China *These authors contributed equally to this study. Corresponding author: M. Tang E-mail: [email protected] Genet. Mol. Res. 15 (3): gmr.15038671 Received March 30, 2016 Accepted August 8, 2016 Published September 16, 2016 DOI http://dx.doi.org/10.4238/gmr.15038671 Copyright © 2016 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution ShareAlike (CC BY-SA) 4.0 License. ABSTRACT. Single nucleotide polymorphisms (SNPs) in HTR3A and HTR3B have been reported to be associated with bipolar disorder in European and Japanese populations. We explored the roles of 21 tag SNPs in HTR3A and HTR3B in susceptibility to bipolar disorder in a Chinese cohort. Twenty-one Tag SNPs were genotyped in a study consisting of 130 patients with bipolar disorder, who visited Shandong Mental Health Center between June 2013 and May 2014, and 109 healthy individuals as controls. All of the tag SNPs were genotyped using Sequenom MassArray matrix-assisted laser desorption/ionization time of flight spectrometry. Plink 1.07, Haploview 4.2, and SPSS 20.0 were used for the analysis of the genotypes and the associations of the haplotypes with bipolar disorder. Association analyses of tag Genetics and Molecular Research 15 (3): gmr.15038671 J. -
Resistance to Ondansetron: Role of Pharmacogenetics in Post-Operative Nausea and Vomiting
The Egyptian Journal of Medical Human Genetics (2013) 14, 331–336 Ain Shams University The Egyptian Journal of Medical Human Genetics www.ejmhg.eg.net www.sciencedirect.com REVIEW Resistance to ondansetron: Role of pharmacogenetics in post-operative nausea and vomiting Kulsoom Farhat a,*, Muhammad Ismail b, Shabana Ali a, Anwar Kamal Pasha c a Army Medical College (National University of Sciences & Technology), Pakistan b Institute of Biomedical and Genetic Engineering, Pakistan c Combined Military Hospital, Rawalpindi, Pakistan Received 28 January 2013; accepted 17 March 2013 Available online 4 May 2013 KEYWORDS Abstract Post-operative nausea and vomiting is the most annoying and at the same time a danger- 5-Hydroxytryptamine type 3 ous side effect of general anaesthesia. Ondansetron is a routinely used anti emetic drug which is receptor antagonists; being administered by the trial and error principle. Though it did revolutionized the management Ondansetron; of this condition but by and large failed to completely eliminate the problem. Recently an important Post-operative nausea and factor possibly elucidating this failure is said to be the differing expression of genes controlling pro- vomiting; teins that are involved in transport and receptors related to this drug. Quite surprisingly these trans- Polymorphism; porter and receptor pathways have been found to be polymorphic and at the same time shown to be Pharmacogenetics related to efficacy of the drug. The differentiation between those responding to treatment and those not responding may pave a way to individualize treatment for emesis to a greater extent. This review highlights the pharmacogenetics related to this commonly used anti-emetic drug in anaesthesia. -
A Posterior Probability of Linkage & Association Study
A POSTERIOR PROBABILITY OF LINKAGE & ASSOCIATION STUDY OF 111 AUTISM CANDIDATE GENES B y FANG CHEN A dissertation submitted to the Graduate School – New Brunswick Rutgers, The State University of New Jersey and The Graduate School of Biomedical Sciences University of Medicine and Dentistry of New Jersey In partial fulfillment of the requirements For the degree of Doctor of Philosophy Graduate Program in Microbiology and Molecular Genetics Written under the direction of Dr. Tara C. Matise & Dr. Jay Tischfield And approved by ____________________ _____________________ ____________________ _____________________ ____________________ _____________________ New Brunswick, New Jersey May, 2009 ABSTRACT OF THE DISSERTATION A Posterior Probability of Linkage & Association Study of 111 Autism Candidate Genes B y FANG CHEN Dissertation directors: Dr. Tara C. Matise & Dr. Jay Tischfield Autism is a neurodevelopmental disorder with a complex genetic basis. In this study we investigated the possible involvement of 111 candidate genes in autism by studying 386 patient families from the Autism Genetic Resource Exchange (AGRE). These genes were selected based on their functions that relate to the neurotransmission or central developmental system. In phase 1 of the study, 1497 tagSNPs were selected to efficiently capture the haplotype information of each gene and were genotyped in 265 AGRE nuclear families. The cleaned genotype data were analyzed through the Kelvin program to compute values of Posterior Probability of Linkage (PPL) and Posterior Probability of LD given linkage (PPLD), which directly measure the probability of linkage and/or association. Consistent supportive evidence for linkage was observed for EPHB6-EPHA1 locus at the 7q34 region by two- and multi-point PPL analysis. -
Research Article Microarray-Based Comparisons of Ion Channel Expression Patterns: Human Keratinocytes to Reprogrammed Hipscs To
Hindawi Publishing Corporation Stem Cells International Volume 2013, Article ID 784629, 25 pages http://dx.doi.org/10.1155/2013/784629 Research Article Microarray-Based Comparisons of Ion Channel Expression Patterns: Human Keratinocytes to Reprogrammed hiPSCs to Differentiated Neuronal and Cardiac Progeny Leonhard Linta,1 Marianne Stockmann,1 Qiong Lin,2 André Lechel,3 Christian Proepper,1 Tobias M. Boeckers,1 Alexander Kleger,3 and Stefan Liebau1 1 InstituteforAnatomyCellBiology,UlmUniversity,Albert-EinsteinAllee11,89081Ulm,Germany 2 Institute for Biomedical Engineering, Department of Cell Biology, RWTH Aachen, Pauwelstrasse 30, 52074 Aachen, Germany 3 Department of Internal Medicine I, Ulm University, Albert-Einstein Allee 11, 89081 Ulm, Germany Correspondence should be addressed to Alexander Kleger; [email protected] and Stefan Liebau; [email protected] Received 31 January 2013; Accepted 6 March 2013 Academic Editor: Michael Levin Copyright © 2013 Leonhard Linta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Ion channels are involved in a large variety of cellular processes including stem cell differentiation. Numerous families of ion channels are present in the organism which can be distinguished by means of, for example, ion selectivity, gating mechanism, composition, or cell biological function. To characterize the distinct expression of this group of ion channels we have compared the mRNA expression levels of ion channel genes between human keratinocyte-derived induced pluripotent stem cells (hiPSCs) and their somatic cell source, keratinocytes from plucked human hair. This comparison revealed that 26% of the analyzed probes showed an upregulation of ion channels in hiPSCs while just 6% were downregulated. -
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 -
The 5-HT3AB Receptor Shows an A3B2 Stoichiometry at the Plasma Membrane
Biophysical Journal Volume 105 August 2013 887–898 887 The 5-HT3AB Receptor Shows an A3B2 Stoichiometry at the Plasma Membrane Timothy F. Miles,† Dennis A. Dougherty,‡ and Henry A. Lester†* †Division of Biology and Biological Engineering and ‡Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California ABSTRACT The 5-HT3AB receptor is the best-characterized heteropentameric 5-HT3 receptor. Under conditions of heterol- ogous expression, the 5-HT3AB receptor shows a single functionally resolvable population, suggesting the presence of a unique subunit stoichiometry; however, conflicting previous reports have suggested two different possible stoichiometries. Here we isolate plasma membrane sheets containing assembled receptors from individual HEK293T cells. We then determine the stoi- chiometry of 5-HT3AB receptors on the plasma membrane by fluorescence methods, employing meCFP- and meYFP-labeled A and B subunits. Over a wide range of cDNA transfection ratios, fluorescence intensity ratios are closest to values that corre- spond to a subunit ratio of A3B2.Fo¨rster resonance energy transfer (family FRET) efficiencies provide minor corrections (3–6%) to the subunit ratios and provide independent support for a predominantly A3B2 stoichiometry on the plasma membrane sheets. Twin FRET efficiencies support these data, also suggesting that the two B subunits are nonadjacent in most of the het- eropentamers. The high-frequency variant HTR3B p.Y129S (c.386A>C, rs11767445), linked to psychiatric disease, also forms A3B2 receptors on the plasma membrane. The 5-HT3B Y129S, subunit incorporates in a slightly (11–14%) more efficient manner than the common variant. In general, most of the subunits reside within the cell. -
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. -
Supplemental Figures
Supplemental Figures Supplemental figure legends Figure S1 | Testing the pre-clustering heuristic. (A) (Left) Default, unsupervised heuristic sets a cut of 7% of the total dendrogram depth, which results in 52 pre-clusters. (Right) The numerical model calculated using the 52 pre-clusters. Xc1 and Xc2 represent the expression (in a binned UMIs grid) of a given gene X in two cells c1 and c2 belonging to the same pre-cluster. The cumulative distribution plot estimates the frequency, hence likelihood, of an expression change. (B) (Left) Forcing a cut of only 4% creates 1152 pre-clusters, more than 20-fold increase compared to the default 7% depth. Also, given the reduction of the average cluster size and the consequent reduction of possible intra-cluster pair-wise comparison, the number of data points used to fit the model decreases of more than 5-fold compared to default 7% cut (from 3.79E+9 to 6.56E+8). (Right) Despite this, the difference between the numerical model of 4% cut and 7% cut is marginal. (C) (Left) Forcing a cut of 20% creates only 9 pre-clusters, which is less than the number of final clusters (in this case, 11) and therefore represents a miscalculated configuration. Still the difference between the numerical model of 20% cut and 7% cut is marginal (right). (D) Also switching from Pearson to Spearman correlation is associated with neglectable differences in the numerical model. (E) (Top) Number of pre-clusters associated with the different cutting depths, correlations metrics (Pearson, Spearman) or linkage metrics (complete or Weighted average distance, WPGMA, instead of default Ward’s). -
Structural Basis for Functional Modulation of Pentameric Ligand-Gated Ion Channels
STRUCTURAL BASIS FOR FUNCTIONAL MODULATION OF PENTAMERIC LIGAND-GATED ION CHANNELS by YVONNE W. GICHERU Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Thesis Advisor: Sudha Chakrapani, Ph.D. Department of Physiology and Biophysics CASE WESTERN RESERVE UNIVERSITY May 2019 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the thesis/dissertation of YVONNE W. GICHERU Candidate for the degree of Physiology and Biophysics* Witold Surewicz (Committee Chair) Matthias Buck Stephen Jones Vera Moiseenkova-Bell Rajesh Ramachandran Sudha Chakrapani March 27, 2019 *We also certify that written approval has been obtained for any proprietary material contained therein. Dedication To my family, friends, mentors, and all who have supported me through this process, thank you. Table of Contents List of Figures .................................................................................................... iv List of Abbreviations .......................................................................................... v Abstract .............................................................................................................. vi Chapter 1 ............................................................................................................. 1 Introduction .................................................................................................... 1 1.1 Pentameric ligand-gated ion channel (pLGIC) superfamily ...................... 2 1.2 pLGIC architecture -
A Bioinformatics Model of Human Diseases on the Basis Of
SUPPLEMENTARY MATERIALS A Bioinformatics Model of Human Diseases on the basis of Differentially Expressed Genes (of Domestic versus Wild Animals) That Are Orthologs of Human Genes Associated with Reproductive-Potential Changes Vasiliev1,2 G, Chadaeva2 I, Rasskazov2 D, Ponomarenko2 P, Sharypova2 E, Drachkova2 I, Bogomolov2 A, Savinkova2 L, Ponomarenko2,* M, Kolchanov2 N, Osadchuk2 A, Oshchepkov2 D, Osadchuk2 L 1 Novosibirsk State University, Novosibirsk 630090, Russia; 2 Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia; * Correspondence: [email protected]. Tel.: +7 (383) 363-4963 ext. 1311 (M.P.) Supplementary data on effects of the human gene underexpression or overexpression under this study on the reproductive potential Table S1. Effects of underexpression or overexpression of the human genes under this study on the reproductive potential according to our estimates [1-5]. ↓ ↑ Human Deficit ( ) Excess ( ) # Gene NSNP Effect on reproductive potential [Reference] ♂♀ NSNP Effect on reproductive potential [Reference] ♂♀ 1 increased risks of preeclampsia as one of the most challenging 1 ACKR1 ← increased risk of atherosclerosis and other coronary artery disease [9] ← [3] problems of modern obstetrics [8] 1 within a model of human diseases using Adcyap1-knockout mice, 3 in a model of human health using transgenic mice overexpressing 2 ADCYAP1 ← → [4] decreased fertility [10] [4] Adcyap1 within only pancreatic β-cells, ameliorated diabetes [11] 2 within a model of human diseases -
Lipid Sensitivity of a Prokaryotic Plgic 1 Structural Sensitivity of a Prokaryotic Pentameric Ligand-Gated Ion Channel To
JBC Papers in Press. Published on March 5, 2013 as Manuscript M113.458133 The latest version is at http://www.jbc.org/cgi/doi/10.1074/jbc.M113.458133 Lipid sensitivity of a prokaryotic pLGIC Structural sensitivity of a prokaryotic pentameric ligand-gated ion channel to its membrane environment* Jonathan M. Labriola1, Akash Pandhare2, Michaela Jansen3, Michael P. Blanton2, Pierre-Jean Corringer4, and John E. Baenziger1 1From the Department of Biochemistry, Microbiology, and Immunology University of Ottawa, Ottawa ON, K1H 8M5, Canada 2Department of Pharmacology and Neuroscience and the Center for Membrane Protein Research, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430 3Department of Cell Physiology and Molecular Biophysics and the Center for Membrane Protein Research, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX. 79430. Downloaded from 4G5 Group of Channel-Receptors, CNRS URA 2182 Pasteur Institute, F75015, Paris, France *Running title: Lipid sensitivity of a prokaryotic pLGIC www.jbc.org 1To whom correspondence should be addressed: John E. Baenziger, Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, 451 Smyth Rd. Ottawa, ON, K1H 8M5, Canada, Tel.: (613) 562-5800 x8222; Fax.: (613) 562-5440; E-mail: [email protected]. at TTU-HEALTH SCIENCES CTR, on March 5, 2013 Keywords: prokaryotic pentameric ligand-gated ion channels, membrane sensitivity, structure, function _____________________________________________________________________________________ Background: The lipid sensitivity of the expression, and amenability to prokaryotic pentameric ligand-gated ion channel crystallographic analysis. We show here that (pLGIC), GLIC, is poorly characterized. membrane-reconstituted GLIC exhibits structural and biophysical properties similar Results: GLIC is more thermally stable and to those of the membrane-reconstituted does not exhibit the same propensity to adopt an nAChR, although GLIC is substantially more uncoupled conformation as the Torpedo nAChR.