GNAS Gene GNAS Complex Locus
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Molecular Dissection of G-Protein Coupled Receptor Signaling and Oligomerization
MOLECULAR DISSECTION OF G-PROTEIN COUPLED RECEPTOR SIGNALING AND OLIGOMERIZATION BY MICHAEL RIZZO A Dissertation Submitted to the Graduate Faculty of WAKE FOREST UNIVERSITY GRADUATE SCHOOL OF ARTS AND SCIENCES in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY Biology December, 2019 Winston-Salem, North Carolina Approved By: Erik C. Johnson, Ph.D. Advisor Wayne E. Pratt, Ph.D. Chair Pat C. Lord, Ph.D. Gloria K. Muday, Ph.D. Ke Zhang, Ph.D. ACKNOWLEDGEMENTS I would first like to thank my advisor, Dr. Erik Johnson, for his support, expertise, and leadership during my time in his lab. Without him, the work herein would not be possible. I would also like to thank the members of my committee, Dr. Gloria Muday, Dr. Ke Zhang, Dr. Wayne Pratt, and Dr. Pat Lord, for their guidance and advice that helped improve the quality of the research presented here. I would also like to thank members of the Johnson lab, both past and present, for being valuable colleagues and friends. I would especially like to thank Dr. Jason Braco, Dr. Jon Fisher, Dr. Jake Saunders, and Becky Perry, all of whom spent a great deal of time offering me advice, proofreading grants and manuscripts, and overall supporting me through the ups and downs of the research process. Finally, I would like to thank my family, both for instilling in me a passion for knowledge and education, and for their continued support. In particular, I would like to thank my wife Emerald – I am forever indebted to you for your support throughout this process, and I will never forget the sacrifices you made to help me get to where I am today. -
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. -
Predicting Coupling Probabilities of G-Protein Coupled Receptors Gurdeep Singh1,2,†, Asuka Inoue3,*,†, J
Published online 30 May 2019 Nucleic Acids Research, 2019, Vol. 47, Web Server issue W395–W401 doi: 10.1093/nar/gkz392 PRECOG: PREdicting COupling probabilities of G-protein coupled receptors Gurdeep Singh1,2,†, Asuka Inoue3,*,†, J. Silvio Gutkind4, Robert B. Russell1,2,* and Francesco Raimondi1,2,* 1CellNetworks, Bioquant, Heidelberg University, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany, 2Biochemie Zentrum Heidelberg (BZH), Heidelberg University, Im Neuenheimer Feld 328, 69120 Heidelberg, Germany, 3Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi 980-8578, Japan and 4Department of Pharmacology and Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA Received February 10, 2019; Revised April 13, 2019; Editorial Decision April 24, 2019; Accepted May 01, 2019 ABSTRACT great use in tinkering with signalling pathways in living sys- tems (5). G-protein coupled receptors (GPCRs) control multi- Ligand binding to GPCRs induces conformational ple physiological states by transducing a multitude changes that lead to binding and activation of G-proteins of extracellular stimuli into the cell via coupling to situated on the inner cell membrane. Most of mammalian intra-cellular heterotrimeric G-proteins. Deciphering GPCRs couple with more than one G-protein giving each which G-proteins couple to each of the hundreds receptor a distinct coupling profile (6) and thus specific of GPCRs present in a typical eukaryotic organism downstream cellular responses. Determining these coupling is therefore critical to understand signalling. Here, profiles is critical to understand GPCR biology and phar- we present PRECOG (precog.russelllab.org): a web- macology. Despite decades of research and hundreds of ob- server for predicting GPCR coupling, which allows served interactions, coupling information is still missing for users to: (i) predict coupling probabilities for GPCRs many receptors and sequence determinants of coupling- specificity are still largely unknown. -
Product Description SALSA® MS-MLPA® Probemix ME031-C1 GNAS to Be Used with the MS-MLPA General Protocol
Product description version C1-01; Issued 19 March 2021 Product Description SALSA® MS-MLPA® Probemix ME031-C1 GNAS To be used with the MS-MLPA General Protocol. Version C1 As compared to version B2, probemix completely revised, details are shown in complete product history see page 11. Catalogue numbers: ME031-025R: SALSA MS-MLPA Probemix ME031 GNAS, 25 reactions. ME031-050R: SALSA MS-MLPA Probemix ME031 GNAS, 50 reactions. ME031-100R: SALSA MS-MLPA Probemix ME031 GNAS, 100 reactions. To be used in combination with a SALSA MLPA reagent kit, SALSA HhaI (SMR50) and Coffalyser.Net data analysis software. MLPA reagent kits are either provided with FAM or Cy5.0 dye-labelled PCR primer, suitable for Applied Biosystems and Beckman/SCIEX capillary sequencers, respectively (see www.mrcholland.com). Certificate of Analysis Information regarding storage conditions, quality tests, and a sample electropherogram from the current sales lot is available at www.mrcholland.com. Precautions and warnings For professional use only. Always consult the most recent product description AND the MS-MLPA General Protocol before use: www.mrcholland.com. It is the responsibility of the user to be aware of the latest scientific knowledge of the application before drawing any conclusions from findings generated with this product. This SALSA MS-MLPA probemix is intended for experienced MLPA users only! The exact link between the GNAS complex locus genotype and phenotype is still being investigated. Use of this ME031 GNAS probemix will not always provide you with clear-cut answers and interpretation of results can therefore be complicated. MRC Holland can only provide limited support with interpretation of results obtained with this product, and recommends thoroughly screening any available literature. -
Functional Characterisation of Human Synaptic Genes Expressed in the Drosophila Brain Lysimachos Zografos1,2, Joanne Tang1, Franziska Hesse3, Erich E
© 2016. Published by The Company of Biologists Ltd | Biology Open (2016) 5, 662-667 doi:10.1242/bio.016261 METHODS & TECHNIQUES Functional characterisation of human synaptic genes expressed in the Drosophila brain Lysimachos Zografos1,2, Joanne Tang1, Franziska Hesse3, Erich E. Wanker3, Ka Wan Li4, August B. Smit4, R. Wayne Davies1,5 and J. Douglas Armstrong1,5,* ABSTRACT systems biology approaches are likely to be the best route to unlock a Drosophila melanogaster is an established and versatile model new generation of neuroscience research and CNS drug organism. Here we describe and make available a collection of development that society so urgently demands (Catalá-López transgenic Drosophila strains expressing human synaptic genes. The et al., 2013). Yet these modelling type approaches also need fast, collection can be used to study and characterise human synaptic tractable in vivo models for validation. genes and their interactions and as controls for mutant studies. It was More than 100 years after the discovery of the white gene in generated in a way that allows the easy addition of new strains, as well Drosophila melanogaster, the common fruit fly remains a key tool as their combination. In order to highlight the potential value of the for the study of neuroscience and neurobiology. The fruit fly collection for the characterisation of human synaptic genes we also genome is well annotated and there is a vast genetic manipulation use two assays, investigating any gain-of-function motor and/or toolkit available. This allows interventions such as high throughput cognitive phenotypes in the strains in this collection. Using these cloning (Bischof et al., 2013; Wang et al., 2012) and the precise assays we show that among the strains made there are both types of insertion of transgenes in the genome (Groth et al., 2004; Venken gain-of-function phenotypes investigated. -
HCC and Cancer Mutated Genes Summarized in the Literature Gene Symbol Gene Name References*
HCC and cancer mutated genes summarized in the literature Gene symbol Gene name References* A2M Alpha-2-macroglobulin (4) ABL1 c-abl oncogene 1, receptor tyrosine kinase (4,5,22) ACBD7 Acyl-Coenzyme A binding domain containing 7 (23) ACTL6A Actin-like 6A (4,5) ACTL6B Actin-like 6B (4) ACVR1B Activin A receptor, type IB (21,22) ACVR2A Activin A receptor, type IIA (4,21) ADAM10 ADAM metallopeptidase domain 10 (5) ADAMTS9 ADAM metallopeptidase with thrombospondin type 1 motif, 9 (4) ADCY2 Adenylate cyclase 2 (brain) (26) AJUBA Ajuba LIM protein (21) AKAP9 A kinase (PRKA) anchor protein (yotiao) 9 (4) Akt AKT serine/threonine kinase (28) AKT1 v-akt murine thymoma viral oncogene homolog 1 (5,21,22) AKT2 v-akt murine thymoma viral oncogene homolog 2 (4) ALB Albumin (4) ALK Anaplastic lymphoma receptor tyrosine kinase (22) AMPH Amphiphysin (24) ANK3 Ankyrin 3, node of Ranvier (ankyrin G) (4) ANKRD12 Ankyrin repeat domain 12 (4) ANO1 Anoctamin 1, calcium activated chloride channel (4) APC Adenomatous polyposis coli (4,5,21,22,25,28) APOB Apolipoprotein B [including Ag(x) antigen] (4) AR Androgen receptor (5,21-23) ARAP1 ArfGAP with RhoGAP domain, ankyrin repeat and PH domain 1 (4) ARHGAP35 Rho GTPase activating protein 35 (21) ARID1A AT rich interactive domain 1A (SWI-like) (4,5,21,22,24,25,27,28) ARID1B AT rich interactive domain 1B (SWI1-like) (4,5,22) ARID2 AT rich interactive domain 2 (ARID, RFX-like) (4,5,22,24,25,27,28) ARID4A AT rich interactive domain 4A (RBP1-like) (28) ARID5B AT rich interactive domain 5B (MRF1-like) (21) ASPM Asp (abnormal -
Analysis of the Indacaterol-Regulated Transcriptome in Human Airway
Supplemental material to this article can be found at: http://jpet.aspetjournals.org/content/suppl/2018/04/13/jpet.118.249292.DC1 1521-0103/366/1/220–236$35.00 https://doi.org/10.1124/jpet.118.249292 THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS J Pharmacol Exp Ther 366:220–236, July 2018 Copyright ª 2018 by The American Society for Pharmacology and Experimental Therapeutics Analysis of the Indacaterol-Regulated Transcriptome in Human Airway Epithelial Cells Implicates Gene Expression Changes in the s Adverse and Therapeutic Effects of b2-Adrenoceptor Agonists Dong Yan, Omar Hamed, Taruna Joshi,1 Mahmoud M. Mostafa, Kyla C. Jamieson, Radhika Joshi, Robert Newton, and Mark A. Giembycz Departments of Physiology and Pharmacology (D.Y., O.H., T.J., K.C.J., R.J., M.A.G.) and Cell Biology and Anatomy (M.M.M., R.N.), Snyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Received March 22, 2018; accepted April 11, 2018 Downloaded from ABSTRACT The contribution of gene expression changes to the adverse and activity, and positive regulation of neutrophil chemotaxis. The therapeutic effects of b2-adrenoceptor agonists in asthma was general enriched GO term extracellular space was also associ- investigated using human airway epithelial cells as a therapeu- ated with indacaterol-induced genes, and many of those, in- tically relevant target. Operational model-fitting established that cluding CRISPLD2, DMBT1, GAS1, and SOCS3, have putative jpet.aspetjournals.org the long-acting b2-adrenoceptor agonists (LABA) indacaterol, anti-inflammatory, antibacterial, and/or antiviral activity. Numer- salmeterol, formoterol, and picumeterol were full agonists on ous indacaterol-regulated genes were also induced or repressed BEAS-2B cells transfected with a cAMP-response element in BEAS-2B cells and human primary bronchial epithelial cells by reporter but differed in efficacy (indacaterol $ formoterol . -
Multi-Functionality of Proteins Involved in GPCR and G Protein Signaling: Making Sense of Structure–Function Continuum with In
Cellular and Molecular Life Sciences (2019) 76:4461–4492 https://doi.org/10.1007/s00018-019-03276-1 Cellular andMolecular Life Sciences REVIEW Multi‑functionality of proteins involved in GPCR and G protein signaling: making sense of structure–function continuum with intrinsic disorder‑based proteoforms Alexander V. Fonin1 · April L. Darling2 · Irina M. Kuznetsova1 · Konstantin K. Turoverov1,3 · Vladimir N. Uversky2,4 Received: 5 August 2019 / Revised: 5 August 2019 / Accepted: 12 August 2019 / Published online: 19 August 2019 © Springer Nature Switzerland AG 2019 Abstract GPCR–G protein signaling system recognizes a multitude of extracellular ligands and triggers a variety of intracellular signal- ing cascades in response. In humans, this system includes more than 800 various GPCRs and a large set of heterotrimeric G proteins. Complexity of this system goes far beyond a multitude of pair-wise ligand–GPCR and GPCR–G protein interactions. In fact, one GPCR can recognize more than one extracellular signal and interact with more than one G protein. Furthermore, one ligand can activate more than one GPCR, and multiple GPCRs can couple to the same G protein. This defnes an intricate multifunctionality of this important signaling system. Here, we show that the multifunctionality of GPCR–G protein system represents an illustrative example of the protein structure–function continuum, where structures of the involved proteins represent a complex mosaic of diferently folded regions (foldons, non-foldons, unfoldons, semi-foldons, and inducible foldons). The functionality of resulting highly dynamic conformational ensembles is fne-tuned by various post-translational modifcations and alternative splicing, and such ensembles can undergo dramatic changes at interaction with their specifc partners. -
Expression Profiling of Cardiac Genes in Human Hypertrophic Cardiomyopathy
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Journal of the American College of Cardiology Vol. 38, No. 4, 2001 © 2001 by the American College of Cardiology ISSN 0735-1097/01/$20.00 Published by Elsevier Science Inc. PII S0735-1097(01)01509-1 Hypertrophic Cardiomyopathy Expression Profiling of Cardiac Genes in Human Hypertrophic Cardiomyopathy: Insight Into the Pathogenesis of Phenotypes Do-Sun Lim, MD, Robert Roberts, MD, FACC, Ali J. Marian, MD, FACC Houston, Texas OBJECTIVES The goal of this study was to identify genes upregulated in the heart in human patients with hypertrophic cardiomyopathy (HCM). BACKGROUND Hypertrophic cardiomyopathy is a genetic disease caused by mutations in contractile sarcomeric proteins. The molecular basis of diverse clinical and pathologic phenotypes in HCM remains unknown. METHODS We performed polymerase chain reaction-select complementary DNA subtraction between normal hearts and hearts with HCM and screened subtracted libraries by Southern blotting. We sequenced the differentially expressed clones and performed Northern blotting to detect increased expression levels. RESULTS We screened 288 independent clones, and 76 clones had less than twofold increase in the signal intensity and were considered upregulated. Sequence analysis identified 36 genes including those encoding the markers of pressure overload-induced (“secondary”) cardiac hypertrophy, cytoskeletal proteins, protein synthesis, redox system, ion channels and those with unknown function. Northern blotting confirmed increased expression of skeletal muscle alpha-actin (ACTA1), myosin light chain 2a (MLC2a), GTP-binding protein Gs-alpha subunit (GNAS1), NADH ubiquinone oxidoreductase (NDUFB10), voltage-dependent anion channel 1 (VDAC1), four-and-a-half LIM domain protein 1 (FHL1) (also known as SLIM1), sarcosin (SARCOSIN) and heat shock 70kD protein 8 (HSPA8) by less than twofold. -
AUSTRALIAN PATENT OFFICE (11) Application No. AU 199875933 B2
(12) PATENT (11) Application No. AU 199875933 B2 (19) AUSTRALIAN PATENT OFFICE (10) Patent No. 742342 (54) Title Nucleic acid arrays (51)7 International Patent Classification(s) C12Q001/68 C07H 021/04 C07H 021/02 C12P 019/34 (21) Application No: 199875933 (22) Application Date: 1998.05.21 (87) WIPO No: WO98/53103 (30) Priority Data (31) Number (32) Date (33) Country 08/859998 1997.05.21 US 09/053375 1998.03.31 US (43) Publication Date : 1998.12.11 (43) Publication Journal Date : 1999.02.04 (44) Accepted Journal Date : 2001.12.20 (71) Applicant(s) Clontech Laboratories, Inc. (72) Inventor(s) Alex Chenchik; George Jokhadze; Robert Bibilashvilli (74) Agent/Attorney F.B. RICE and CO.,139 Rathdowne Street,CARLTON VIC 3053 (56) Related Art PROC NATL ACAD SCI USA 93,10614-9 ANCEL BIOCHEM 216,299-304 CRENE 156,207-13 OPI DAtE 11/12/98 APPLN. ID 75933/98 AOJP DATE 04/02/99 PCT NUMBER PCT/US98/10561 IIIIIIIUIIIIIIIIIIIIIIIIIIIII AU9875933 .PCT) (51) International Patent Classification 6 ; (11) International Publication Number: WO 98/53103 C12Q 1/68, C12P 19/34, C07H 2UO2, Al 21/04 (43) International Publication Date: 26 November 1998 (26.11.98) (21) International Application Number: PCT/US98/10561 (81) Designated States: AL, AM, AT, AU, AZ, BA, BB, BG, BR, BY, CA, CH, CN, CU, CZ, DE, DK, EE, ES, FI, GB, GE, (22) International Filing Date: 21 May 1998 (21.05.98) GH, GM, GW, HU, ID, IL, IS, JP, KE, KG, KP, KR, KZ, LC, LK, LR, LS, LT, LU, LV, MD, MG, MK, MN, MW, MX, NO, NZ, PL, PT, RO, RU, SD, SE, SG, SI, SK, SL, (30) Priority Data: TJ, TM, TR, TT, UA, UG, US, UZ, VN, YU, ZW, ARIPO 08/859,998 21 May 1997 (21.05.97) US patent (GH, GM, KE, LS, MW, SD, SZ, UG, ZW), Eurasian 09/053,375 31 March 1998 (31.03.98) US patent (AM, AZ, BY, KG, KZ, MD, RU, TJ, TM), European patent (AT, BE, CH, CY, DE, DK, ES, Fl, FR, GB, GR, IE, IT, LU, MC, NL, PT, SE), OAPI patent (BF, BJ, CF, (71) Applicant (for all designated States except US): CLONTECH CG, CI, CM, GA, GN, ML, MR, NE, SN, TD, TG). -
Identification of Key Genes and Pathways for Alzheimer's Disease
Biophys Rep 2019, 5(2):98–109 https://doi.org/10.1007/s41048-019-0086-2 Biophysics Reports RESEARCH ARTICLE Identification of key genes and pathways for Alzheimer’s disease via combined analysis of genome-wide expression profiling in the hippocampus Mengsi Wu1,2, Kechi Fang1, Weixiao Wang1,2, Wei Lin1,2, Liyuan Guo1,2&, Jing Wang1,2& 1 CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China 2 Department of Psychology, University of Chinese Academy of Sciences, Beijing 10049, China Received: 8 August 2018 / Accepted: 17 January 2019 / Published online: 20 April 2019 Abstract In this study, combined analysis of expression profiling in the hippocampus of 76 patients with Alz- heimer’s disease (AD) and 40 healthy controls was performed. The effects of covariates (including age, gender, postmortem interval, and batch effect) were controlled, and differentially expressed genes (DEGs) were identified using a linear mixed-effects model. To explore the biological processes, func- tional pathway enrichment and protein–protein interaction (PPI) network analyses were performed on the DEGs. The extended genes with PPI to the DEGs were obtained. Finally, the DEGs and the extended genes were ranked using the convergent functional genomics method. Eighty DEGs with q \ 0.1, including 67 downregulated and 13 upregulated genes, were identified. In the pathway enrichment analysis, the 80 DEGs were significantly enriched in one Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, GABAergic synapses, and 22 Gene Ontology terms. These genes were mainly involved in neuron, synaptic signaling and transmission, and vesicle metabolism. These processes are all linked to the pathological features of AD, demonstrating that the GABAergic system, neurons, and synaptic function might be affected in AD. -
Impaired Iloprost-Induced Platelet Inhibition and Phosphoproteome Changes in Patients with Confirmed Pseudohypoparathyroidism Ty
www.nature.com/scientificreports OPEN Impaired iloprost‑induced platelet inhibition and phosphoproteome changes in patients with confrmed pseudohypoparathyroidism type Ia, linked to genetic mutations in GNAS Frauke Swieringa1,2, Fiorella A. Solari1,9, Oliver Pagel1,9, Florian Beck1, Jingnan Huang1,2, Marion A. H. Feijge2, Kerstin Jurk4, Irene M. L. W. Körver‑Keularts5, Nadine J. A. Mattheij2, Jörg Faber3, Joachim Pohlenz3, Alexandra Russo3, Connie T. R. M. Stumpel5,6, Dirk E. Schrander7, Barbara Zieger8, Paola E. J. van der Meijden2, René P. Zahedi1, Albert Sickmann1 & Johan W. M. Heemskerk2* Patients diagnosed with pseudohypoparathyroidism type Ia (PHP Ia) sufer from hormonal resistance and abnormal postural features, in a condition classifed as Albright hereditary osteodystrophy (AHO) syndrome. This syndrome is linked to a maternally inherited mutation in the GNAS complex locus, encoding for the GTPase subunit Gsα. Here, we investigated how platelet phenotype and omics analysis can assist in the often difcult diagnosis. By coupling to the IP receptor, Gsα induces platelet inhibition via adenylyl cyclase and cAMP-dependent protein kinase A (PKA). In platelets from seven patients with suspected AHO, one of the largest cohorts examined, we studied the PKA-induced phenotypic changes. Five patients with a confrmed GNAS mutation, displayed impairments in Gsα- dependent VASP phosphorylation, aggregation, and microfuidic thrombus formation. Analysis of the platelet phosphoproteome revealed 2,516 phosphorylation sites, of which 453 were regulated by Gsα-PKA. Common changes in the patients were: (1) a joint panel of upregulated and downregulated phosphopeptides; (2) overall PKA dependency of the upregulated phosphopeptides; (3) links to key platelet function pathways. In one patient with GNAS mutation, diagnosed as non‑AHO, the changes in platelet phosphoproteome were reversed.