Genome-Wide Association Study of Recurrent Major Depressive
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Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources
Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources Chung-Feng Kao1, Yu-Sheng Fang2, Zhongming Zhao3, Po-Hsiu Kuo1,2,4* 1 Department of Public Health and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan, 2 Institute of Clinical Medicine, School of Medicine, National Cheng-Kung University, Tainan, Taiwan, 3 Departments of Biomedical Informatics and Psychiatry, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, 4 Research Center for Genes, Environment and Human Health, National Taiwan University, Taipei, Taiwan Abstract Background: Large scale and individual genetic studies have suggested numerous susceptible genes for depression in the past decade without conclusive results. There is a strong need to review and integrate multi-dimensional data for follow up validation. The present study aimed to apply prioritization procedures to build-up an evidence-based candidate genes dataset for depression. Methods: Depression candidate genes were collected in human and animal studies across various data resources. Each gene was scored according to its magnitude of evidence related to depression and was multiplied by a source-specific weight to form a combined score measure. All genes were evaluated through a prioritization system to obtain an optimal weight matrix to rank their relative importance with depression using the combined scores. The resulting candidate gene list for depression (DEPgenes) was further evaluated by a genome-wide association (GWA) dataset and microarray gene expression in human tissues. Results: A total of 5,055 candidate genes (4,850 genes from human and 387 genes from animal studies with 182 being overlapped) were included from seven data sources. -
Transcriptional Regulation of RKIP in Prostate Cancer Progression
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Sciences Transcriptional Regulation of RKIP in Prostate Cancer Progression Submitted by: Sandra Marie Beach In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Sciences Examination Committee Major Advisor: Kam Yeung, Ph.D. Academic William Maltese, Ph.D. Advisory Committee: Sonia Najjar, Ph.D. Han-Fei Ding, M.D., Ph.D. Manohar Ratnam, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: May 16, 2007 Transcriptional Regulation of RKIP in Prostate Cancer Progression Sandra Beach University of Toledo ACKNOWLDEGMENTS I thank my major advisor, Dr. Kam Yeung, for the opportunity to pursue my degree in his laboratory. I am also indebted to my advisory committee members past and present, Drs. Sonia Najjar, Han-Fei Ding, Manohar Ratnam, James Trempe, and Douglas Pittman for generously and judiciously guiding my studies and sharing reagents and equipment. I owe extended thanks to Dr. William Maltese as a committee member and chairman of my department for supporting my degree progress. The entire Department of Biochemistry and Cancer Biology has been most kind and helpful to me. Drs. Roy Collaco and Hong-Juan Cui have shared their excellent technical and practical advice with me throughout my studies. I thank members of the Yeung laboratory, Dr. Sungdae Park, Hui Hui Tang, Miranda Yeung for their support and collegiality. The data mining studies herein would not have been possible without the helpful advice of Dr. Robert Trumbly. I am also grateful for the exceptional assistance and shared microarray data of Dr. -
Structure of Human Aspartyl Aminopeptidase Complexed With
Chaikuad et al. BMC Structural Biology 2012, 12:14 http://www.biomedcentral.com/1472-6807/12/14 RESEARCH ARTICLE Open Access Structure of human aspartyl aminopeptidase complexed with substrate analogue: insight into catalytic mechanism, substrate specificity and M18 peptidase family Apirat Chaikuad1, Ewa S Pilka1, Antonio De Riso2, Frank von Delft1, Kathryn L Kavanagh1, Catherine Vénien-Bryan2, Udo Oppermann1,3 and Wyatt W Yue1* Abstract Backround: Aspartyl aminopeptidase (DNPEP), with specificity towards an acidic amino acid at the N-terminus, is the only mammalian member among the poorly understood M18 peptidases. DNPEP has implicated roles in protein and peptide metabolism, as well as the renin-angiotensin system in blood pressure regulation. Despite previous enzyme and substrate characterization, structural details of DNPEP regarding ligand recognition and catalytic mechanism remain to be delineated. Results: The crystal structure of human DNPEP complexed with zinc and a substrate analogue aspartate-β- hydroxamate reveals a dodecameric machinery built by domain-swapped dimers, in agreement with electron microscopy data. A structural comparison with bacterial homologues identifies unifying catalytic features among the poorly understood M18 enzymes. The bound ligands in the active site also reveal the coordination mode of the binuclear zinc centre and a substrate specificity pocket for acidic amino acids. Conclusions: The DNPEP structure provides a molecular framework to understand its catalysis that is mediated by active site loop swapping, a mechanism likely adopted in other M18 and M42 metallopeptidases that form dodecameric complexes as a self-compartmentalization strategy. Small differences in the substrate binding pocket such as shape and positive charges, the latter conferred by a basic lysine residue, further provide the key to distinguishing substrate preference. -
Β-Catenin Confers Resistance to PI3K and AKT Inhibitors and Subverts Foxo3a to Promote Metastasis in Colon Cancer
β-catenin Confers Resistance to PI3K and AKT inhibitors and Subverts FOXO3a to Promote Metastasis in Colon Cancer Stephan P. Tenbaum1§, Paloma Ordóñez-Morán2§#, Isabel Puig1§, Irene Chicote1, Oriol Arqués1, Stefania Landolfi3, Yolanda Fernández4, José Raúl Herance5, Juan D. Gispert5, Leire Mendizabal6, Susana Aguilar7, Santiago Ramón y Cajal3, Simó Schwartz Jr4, Ana Vivancos6, Eloy Espín8, Santiago Rojas5, José Baselga9, Josep Tabernero10, Alberto Muñoz2, Héctor G. Palmer1* 1 Vall d’Hebrón Institut d´Oncología (VHIO). Stem Cells and Cancer Laboratory. Barcelona, Spain. 2 Instituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid, Madrid, Spain. 3 Department of Pathology, Hospital Universitari Vall d'Hebrón, Universitat Autònoma de Barcelona, Barcelona, Spain. 4 Group of Drug Delivery and Targeting, CIBBIM-Nanomedicine and Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Hospital Universitari Vall d’Hebrón, Institut de Recerca Vall d’Hebrón, Universitat Autònoma de Barcelona, Barcelona, Spain. 5 Parc de Recerca Biomèdica de Barcelona (PRBB), Centre d´Imatge Molecular (CRC) Corporació Sanitària, Barcelona, Spain. 6 Vall d’Hebrón Institut d´Oncología (VHIO). Genomics Cancer Group. Barcelona, Spain. 7 Centre for Respiratory Research, Rayne Institute, University College London, London, United Kingdom, Hematopoietic Stem Cell Laboratory, London Research Institute, Cancer Research UK, London, United Kingdom. 8 General Surgery Service, Hospital Universitari Vall d'Hebrón, Barcelona, Spain. 9 Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, USA; Howard Hughes Medical Institute, Chevy Chase, USA. 10 Medical Oncology Department, Hospital Universitari Vall d'Hebrón, Barcelona, Spain. # Swiss Institute for Experimental Cancer Research, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. -
Circular RNA Hsa Circ 0005114‑Mir‑142‑3P/Mir‑590‑5P‑ Adenomatous
ONCOLOGY LETTERS 21: 58, 2021 Circular RNA hsa_circ_0005114‑miR‑142‑3p/miR‑590‑5p‑ adenomatous polyposis coli protein axis as a potential target for treatment of glioma BO WEI1*, LE WANG2* and JINGWEI ZHAO1 1Department of Neurosurgery, China‑Japan Union Hospital of Jilin University, Changchun, Jilin 130033; 2Department of Ophthalmology, The First Hospital of Jilin University, Jilin University, Changchun, Jilin 130021, P.R. China Received September 12, 2019; Accepted October 22, 2020 DOI: 10.3892/ol.2020.12320 Abstract. Glioma is the most common type of brain tumor APC expression with a good overall survival rate. UALCAN and is associated with a high mortality rate. Despite recent analysis using TCGA data of glioblastoma multiforme and the advances in treatment options, the overall prognosis in patients GSE25632 and GSE103229 microarray datasets showed that with glioma remains poor. Studies have suggested that circular hsa‑miR‑142‑3p/hsa‑miR‑590‑5p was upregulated and APC (circ)RNAs serve important roles in the development and was downregulated. Thus, hsa‑miR‑142‑3p/hsa‑miR‑590‑5p‑ progression of glioma and may have potential as therapeutic APC‑related circ/ceRNA axes may be important in glioma, targets. However, the expression profiles of circRNAs and their and hsa_circ_0005114 interacted with both of these miRNAs. functions in glioma have rarely been studied. The present study Functional analysis showed that hsa_circ_0005114 was aimed to screen differentially expressed circRNAs (DECs) involved in insulin secretion, while APC was associated with between glioma and normal brain tissues using sequencing the Wnt signaling pathway. In conclusion, hsa_circ_0005114‑ data collected from the Gene Expression Omnibus database miR‑142‑3p/miR‑590‑5p‑APC ceRNA axes may be potential (GSE86202 and GSE92322 datasets) and explain their mecha‑ targets for the treatment of glioma. -
Differential Proteomic Analysis of the Pancreas of Diabetic Db/Db Mice Reveals the Proteins Involved in the Development of Complications of Diabetes Mellitus
Int. J. Mol. Sci. 2014, 15, 9579-9593; doi:10.3390/ijms15069579 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article Differential Proteomic Analysis of the Pancreas of Diabetic db/db Mice Reveals the Proteins Involved in the Development of Complications of Diabetes Mellitus Victoriano Pérez-Vázquez 1,*, Juan M. Guzmán-Flores 1, Daniela Mares-Álvarez 1, Magdalena Hernández-Ortiz 2, Maciste H. Macías-Cervantes 1, Joel Ramírez-Emiliano 1 and Sergio Encarnación-Guevara 2 1 Depto. de Ciencias Médicas, División de Ciencias de la Salud, Campus León, Universidad de Guanajuato, León, Guanajuato 37320, Mexico; E-Mails: [email protected] (J.M.G.-F.); [email protected] (D.M.-A.); [email protected] (M.H.M.-C.); [email protected] (J.R.-E.) 2 Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos 62210, Mexico; E-Mails: [email protected] (M.H.-O.); [email protected] (S.E.-G.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +52-477-7143-812; Fax: +52-477-7167-623. Received: 4 April 2014; in revised form: 14 May 2014 / Accepted: 19 May 2014 / Published: 30 May 2014 Abstract: Type 2 diabetes mellitus is characterized by hyperglycemia and insulin-resistance. Diabetes results from pancreatic inability to secrete the insulin needed to overcome this resistance. We analyzed the protein profile from the pancreas of ten-week old diabetic db/db and wild type mice through proteomics. Pancreatic proteins were separated in two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and significant changes in db/db mice respect to wild type mice were observed in 27 proteins. -
Bioinformatics Analyses of Genomic Imprinting
Bioinformatics Analyses of Genomic Imprinting Dissertation zur Erlangung des Grades des Doktors der Naturwissenschaften der Naturwissenschaftlich-Technischen Fakultät III Chemie, Pharmazie, Bio- und Werkstoffwissenschaften der Universität des Saarlandes von Barbara Hutter Saarbrücken 2009 Tag des Kolloquiums: 08.12.2009 Dekan: Prof. Dr.-Ing. Stefan Diebels Berichterstatter: Prof. Dr. Volkhard Helms Priv.-Doz. Dr. Martina Paulsen Vorsitz: Prof. Dr. Jörn Walter Akad. Mitarbeiter: Dr. Tihamér Geyer Table of contents Summary________________________________________________________________ I Zusammenfassung ________________________________________________________ I Acknowledgements _______________________________________________________II Abbreviations ___________________________________________________________ III Chapter 1 – Introduction __________________________________________________ 1 1.1 Important terms and concepts related to genomic imprinting __________________________ 2 1.2 CpG islands as regulatory elements ______________________________________________ 3 1.3 Differentially methylated regions and imprinting clusters_____________________________ 6 1.4 Reading the imprint __________________________________________________________ 8 1.5 Chromatin marks at imprinted regions___________________________________________ 10 1.6 Roles of repetitive elements ___________________________________________________ 12 1.7 Functional implications of imprinted genes _______________________________________ 14 1.8 Evolution and parental conflict ________________________________________________ -
ANK3 As a Risk Gene for Schizophrenia: New Data in Han Chinese And
RESEARCH ARTICLE Neuropsychiatric Genetics ANK3 as a Risk Gene for Schizophrenia: New Data in Han Chinese and Meta Analysis Aihua Yuan,1 Zhenghui Yi,1 Qiang Wang,2 Jinhua Sun,1 Zhiqiang Li,3 Yasong Du,1 Chen Zhang,1 Tao Yu,3 Juan Fan,1 Huafang Li,1 and Shunying Yu1* 1Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China 2Mental Health Center Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, P.R. China 3Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, P.R. China Manuscript Received: 13 December 2011; Manuscript Accepted: 4 October 2012 Histological and neuroimaging evidence supports the hypothesis that neuronal disconnectivity may be involved in the pathogenesis How to Cite this Article: of schizophrenia. A genome-wide association study (GWAS) Yuan A, Yi Z, Wang Q, Sun J, Li Z, Du Y, showed a single nucleotide polymorphism (SNP), rs10761482 in Zhang C, Yu T, Fan J, Li H, Yu S. 2012. ANK3 ANK3 ankyrin 3 ( ), a major neuron-enriched gene, was associated as a Risk Gene for Schizophrenia: New Data in with schizophrenia although inconsistent results had been Han Chinese and Meta Analysis. reported. Two meta analyses reported another SNP rs10994336 Am J Med Genet Part B 159B:997–1005. in ANK3 gene confers risk to bipolar disorder (BD). Due to evidence of genetic overlap between schizophrenia and BD, we investigated common findings by analyzing the association of ANK3 polymorphisms (rs10761482, rs10994336, and two mis- from family, adoption, and twins studies supported high herit- senses, rs3808942 and rs3808943) with schizophrenia, using the ability in the development of schizophrenia (80%). -
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 -
Nuclear Envelope Laminopathies: Evidence for Developmentally Inappropriate Nuclear Envelope-Chromatin Associations
Nuclear Envelope Laminopathies: Evidence for Developmentally Inappropriate Nuclear Envelope-Chromatin Associations by Jelena Perovanovic M.S. in Molecular Biology and Physiology, September 2009, University of Belgrade M.Phil. in Molecular Medicine, August 2013, The George Washington University A Dissertation submitted to The Faculty of The Columbian College of Arts and Sciences of The George Washington University in partial fulfillment of the requirements for the degree of Doctor of Philosophy August 31, 2015 Dissertation directed by Eric P. Hoffman Professor of Integrative Systems Biology The Columbian College of Arts and Sciences of The George Washington University certifies that Jelena Perovanovic has passed the Final Examination for the degree of Doctor of Philosophy as of May 5, 2015. This is the final and approved form of the dissertation. Nuclear Envelope Laminopathies: Evidence for Developmentally Inappropriate Nuclear Envelope-Chromatin Associations Jelena Perovanovic Dissertation Research Committee: Eric P. Hoffman, Professor of Integrative Systems Biology, Dissertation Director Anamaris Colberg-Poley, Professor of Integrative Systems Biology, Committee Member Robert J. Freishtat, Associate Professor of Pediatrics, Committee Member Vittorio Sartorelli, Senior Investigator, National Institutes of Health, Committee Member ii © Copyright 2015 by Jelena Perovanovic All rights reserved iii Acknowledgments I am deeply indebted to countless individuals for their support and encouragement during the past five years of graduate studies. First and foremost, I would like to express my gratitude to my mentor, Dr. Eric P. Hoffman, for his unwavering support and guidance, and keen attention to my professional development. This Dissertation would not have been possible without the critical input he provided and the engaging environment he created. -
Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. -
Convergent Functional Genomics of Schizophrenia: from Comprehensive Understanding to Genetic Risk Prediction
Molecular Psychiatry (2012) 17, 887 -- 905 & 2012 Macmillan Publishers Limited All rights reserved 1359-4184/12 www.nature.com/mp IMMEDIATE COMMUNICATION Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction M Ayalew1,2,9, H Le-Niculescu1,9, DF Levey1, N Jain1, B Changala1, SD Patel1, E Winiger1, A Breier1, A Shekhar1, R Amdur3, D Koller4, JI Nurnberger1, A Corvin5, M Geyer6, MT Tsuang6, D Salomon7, NJ Schork7, AH Fanous3, MC O’Donovan8 and AB Niculescu1,2 We have used a translational convergent functional genomics (CFG) approach to identify and prioritize genes involved in schizophrenia, by gene-level integration of genome-wide association study data with other genetic and gene expression studies in humans and animal models. Using this polyevidence scoring and pathway analyses, we identify top genes (DISC1, TCF4, MBP, MOBP, NCAM1, NRCAM, NDUFV2, RAB18, as well as ADCYAP1, BDNF, CNR1, COMT, DRD2, DTNBP1, GAD1, GRIA1, GRIN2B, HTR2A, NRG1, RELN, SNAP-25, TNIK), brain development, myelination, cell adhesion, glutamate receptor signaling, G-protein-- coupled receptor signaling and cAMP-mediated signaling as key to pathophysiology and as targets for therapeutic intervention. Overall, the data are consistent with a model of disrupted connectivity in schizophrenia, resulting from the effects of neurodevelopmental environmental stress on a background of genetic vulnerability. In addition, we show how the top candidate genes identified by CFG can be used to generate a genetic risk prediction score (GRPS) to aid schizophrenia diagnostics, with predictive ability in independent cohorts. The GRPS also differentiates classic age of onset schizophrenia from early onset and late-onset disease.