Modeling the Functional Genomics of Autism Using Human Neurons
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Functional Annotation of Exon Skipping Event in Human Pora Kim1,*,†, Mengyuan Yang1,†,Keyiya2, Weiling Zhao1 and Xiaobo Zhou1,3,4,*
D896–D907 Nucleic Acids Research, 2020, Vol. 48, Database issue Published online 23 October 2019 doi: 10.1093/nar/gkz917 ExonSkipDB: functional annotation of exon skipping event in human Pora Kim1,*,†, Mengyuan Yang1,†,KeYiya2, Weiling Zhao1 and Xiaobo Zhou1,3,4,* 1School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA, 2College of Electronics and Information Engineering, Tongji University, Shanghai, China, 3McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA and 4School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA Received August 13, 2019; Revised September 21, 2019; Editorial Decision October 03, 2019; Accepted October 03, 2019 ABSTRACT been used as therapeutic targets (3–8). For example, MET has lost the binding site of E3 ubiquitin ligase CBL through Exon skipping (ES) is reported to be the most com- exon 14 skipping event (9), resulting in an enhanced expres- mon alternative splicing event due to loss of func- sion level of MET. MET amplification drives the prolifera- tional domains/sites or shifting of the open read- tion of tumor cells. Multiple tyrosine kinase inhibitors, such ing frame (ORF), leading to a variety of human dis- as crizotinib, cabozantinib and capmatinib, have been used eases and considered therapeutic targets. To date, to treat patients with MET exon 14 skipping (10). Another systematic and intensive annotations of ES events example is the dystrophin gene (DMD) in Duchenne mus- based on the skipped exon units in cancer and cular dystrophy (DMD), a progressive neuromuscular dis- normal tissues are not available. -
Genome-Wide Approach to Identify Risk Factors for Therapy-Related Myeloid Leukemia
Leukemia (2006) 20, 239–246 & 2006 Nature Publishing Group All rights reserved 0887-6924/06 $30.00 www.nature.com/leu ORIGINAL ARTICLE Genome-wide approach to identify risk factors for therapy-related myeloid leukemia A Bogni1, C Cheng2, W Liu2, W Yang1, J Pfeffer1, S Mukatira3, D French1, JR Downing4, C-H Pui4,5,6 and MV Relling1,6 1Department of Pharmaceutical Sciences, The University of Tennessee, Memphis, TN, USA; 2Department of Biostatistics, The University of Tennessee, Memphis, TN, USA; 3Hartwell Center, The University of Tennessee, Memphis, TN, USA; 4Department of Pathology, The University of Tennessee, Memphis, TN, USA; 5Department of Hematology/Oncology St Jude Children’s Research Hospital, The University of Tennessee, Memphis, TN, USA; and 6Colleges of Medicine and Pharmacy, The University of Tennessee, Memphis, TN, USA Using a target gene approach, only a few host genetic risk therapy increases, the importance of identifying host factors for factors for treatment-related myeloid leukemia (t-ML) have been secondary neoplasms increases. defined. Gene expression microarrays allow for a more 4 genome-wide approach to assess possible genetic risk factors Because DNA microarrays interrogate multiple ( 10 000) for t-ML. We assessed gene expression profiles (n ¼ 12 625 genes in one experiment, they allow for a ‘genome-wide’ probe sets) in diagnostic acute lymphoblastic leukemic cells assessment of genes that may predispose to leukemogenesis. from 228 children treated on protocols that included leukemo- DNA microarray analysis of gene expression has been used to genic agents such as etoposide, 13 of whom developed t-ML. identify distinct expression profiles that are characteristic of Expression of 68 probes, corresponding to 63 genes, was different leukemia subtypes.13,14 Studies using this method have significantly related to risk of t-ML. -
Function in Vertebrates Receptor-Containing Adaptor
Evidence for Evolving Toll-IL-1 Receptor-Containing Adaptor Molecule Function in Vertebrates This information is current as Con Sullivan, John H. Postlethwait, Christopher R. Lage, of September 30, 2021. Paul J. Millard and Carol H. Kim J Immunol 2007; 178:4517-4527; ; doi: 10.4049/jimmunol.178.7.4517 http://www.jimmunol.org/content/178/7/4517 Downloaded from References This article cites 60 articles, 30 of which you can access for free at: http://www.jimmunol.org/content/178/7/4517.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on September 30, 2021 *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2007 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Evidence for Evolving Toll-IL-1 Receptor-Containing Adaptor Molecule Function in Vertebrates1 Con Sullivan,* John H. Postlethwait,† Christopher R. Lage,* Paul J. Millard,‡ and Carol H. Kim2* In mammals, Toll-IL-1R-containing adaptor molecule 1 (TICAM1)-dependent TLR pathways induce NF-B and IFN- re- sponses. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Synaptic Modulators Nrxn1 and Nrxn3 Are Disregulated in a Disc1 Mouse
Letters to the Editor 585 National University of Ireland Galway, Galway, Ireland; 4Laboratory of Clinical Science, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA; 5Center for Integrated Molecular Brain Imaging, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark and 6Department of Psychiatry, Laureate Institute for Brain Research, University of Oklahoma College of Medicine, Tulsa, OK, USA E-mail: [email protected] 7These senior authors contributed equally to this paper. References 1 Ichimiya T, Suhara T, Sudo Y, Okubo Y, Nakayama K, Nankai M et al. Biological Psychiatry 2002; 51: 715–722. 2 Cannon DM, Ichise M, Rollis D, Klaver JM, Gandhi SK, Charney DS et al. Biol Psychiatry 2007; 15: 870–877. 3 Cannon DM, Ichise M, Fromm SJ, Nugent AC, Rollis D, Gandhi SK et al. Biol Psychiatry 2006; 60: 207–217. 4 Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D et al. American Journal of Human Genetics 2007; 81: 559–575. Figure 1 Map of t-values from voxel-wise analysis of 5 Shioe K, Ichimiya T, Suhara T, Takano A, Sudo Y, Yasuno F et al. Synapse 2003; 48: 184–188. rs6741892, overlaid on a sample axial magnetic resonance 6 Kalbitzer J, Frokjaer VG, Erritzoe D, Svarer C, Cumming P, imaging slice at the level of the medial thalamus (z = 6 mm). Nielsen FA et al. Neuroimage 2009; 45: 280–285. Bilaterally, T-allele carriers (n = 13) have greater serotonin- 7 Erritzoe D, Holst K, Frokjaer VG, Licht CL, Kalbitzer J, Nielsen FA transporter-binding potential than AA homozygotes (n = 42). -
The Genetic Factors of Bilaterian Evolution Peter Heger1*, Wen Zheng1†, Anna Rottmann1, Kristen a Panfilio2,3, Thomas Wiehe1
RESEARCH ARTICLE The genetic factors of bilaterian evolution Peter Heger1*, Wen Zheng1†, Anna Rottmann1, Kristen A Panfilio2,3, Thomas Wiehe1 1Institute for Genetics, Cologne Biocenter, University of Cologne, Cologne, Germany; 2Institute for Zoology: Developmental Biology, Cologne Biocenter, University of Cologne, Cologne, Germany; 3School of Life Sciences, University of Warwick, Gibbet Hill Campus, Coventry, United Kingdom Abstract The Cambrian explosion was a unique animal radiation ~540 million years ago that produced the full range of body plans across bilaterians. The genetic mechanisms underlying these events are unknown, leaving a fundamental question in evolutionary biology unanswered. Using large-scale comparative genomics and advanced orthology evaluation techniques, we identified 157 bilaterian-specific genes. They include the entire Nodal pathway, a key regulator of mesoderm development and left-right axis specification; components for nervous system development, including a suite of G-protein-coupled receptors that control physiology and behaviour, the Robo- Slit midline repulsion system, and the neurotrophin signalling system; a high number of zinc finger transcription factors; and novel factors that previously escaped attention. Contradicting the current view, our study reveals that genes with bilaterian origin are robustly associated with key features in extant bilaterians, suggesting a causal relationship. *For correspondence: [email protected] Introduction The taxon Bilateria consists of multicellular animals -
Structural Variation Targets Neurodevelopmental Genes and Identifies SHANK2 As a Tumor
bioRxiv preprint doi: https://doi.org/10.1101/572248; this version posted March 13, 2019. 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. Structural Variation in Neuroblastoma Lopez, Conkrite, et al. Structural variation targets neurodevelopmental genes and identifies SHANK2 as a tumor suppressor in neuroblastoma Gonzalo Lopez1,2+, Karina L. Conkrite1,2+, Miriam Doepner1,2, Komal S. Rathi3, Apexa Modi1,2,10, Zalman Vaksman1-3, Lance M. Farra1,2, Eric Hyson1,2, Moataz Noureddine1,2, Jun S. Wei4, Malcolm A. Smith9, Shahab Asgharzadeh5,6, Robert C. Seeger5,6, Javed Khan4, Jaime Guidry Auvil8, Daniela S. Gerhard8, John M. Maris1-2,10,11, Sharon J. Diskin1-3,10,11* 1Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA. 2Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA, USA. 3Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA. 4Oncogenomics Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA 5Division of Hematology, Oncology and Blood and Marrow Transplantation, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA. 6The Saban Research Institute, Children’s Hospital of Los Angeles, Los Angeles, CA, USA. 7Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. 8Office of Cancer Genomics, National Cancer Institute, Bethesda, MD, USA. 9Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD, USA. 10Genomics and Computational Biology, Biomedical Graduate Studies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. -
Genomic and Transcriptome Analysis Revealing an Oncogenic Functional Module in Meningiomas
Neurosurg Focus 35 (6):E3, 2013 ©AANS, 2013 Genomic and transcriptome analysis revealing an oncogenic functional module in meningiomas XIAO CHANG, PH.D.,1 LINGLING SHI, PH.D.,2 FAN GAO, PH.D.,1 JONATHAN RUssIN, M.D.,3 LIYUN ZENG, PH.D.,1 SHUHAN HE, B.S.,3 THOMAS C. CHEN, M.D.,3 STEVEN L. GIANNOTTA, M.D.,3 DANIEL J. WEISENBERGER, PH.D.,4 GAbrIEL ZADA, M.D.,3 KAI WANG, PH.D.,1,5,6 AND WIllIAM J. MAck, M.D.1,3 1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California; 2GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China; 3Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California; 4USC Epigenome Center, Keck School of Medicine, University of Southern California, Los Angeles, California; 5Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, California; and 6Division of Bioinformatics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California Object. Meningiomas are among the most common primary adult brain tumors. Although typically benign, roughly 2%–5% display malignant pathological features. The key molecular pathways involved in malignant trans- formation remain to be determined. Methods. Illumina expression microarrays were used to assess gene expression levels, and Illumina single- nucleotide polymorphism arrays were used to identify copy number variants in benign, atypical, and malignant me- ningiomas (19 tumors, including 4 malignant ones). The authors also reanalyzed 2 expression data sets generated on Affymetrix microarrays (n = 68, including 6 malignant ones; n = 56, including 3 malignant ones). -
ADHD) Gene Networks in Children of Both African American and European American Ancestry
G C A T T A C G G C A T genes Article Rare Recurrent Variants in Noncoding Regions Impact Attention-Deficit Hyperactivity Disorder (ADHD) Gene Networks in Children of both African American and European American Ancestry Yichuan Liu 1 , Xiao Chang 1, Hui-Qi Qu 1 , Lifeng Tian 1 , Joseph Glessner 1, Jingchun Qu 1, Dong Li 1, Haijun Qiu 1, Patrick Sleiman 1,2 and Hakon Hakonarson 1,2,3,* 1 Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA; [email protected] (Y.L.); [email protected] (X.C.); [email protected] (H.-Q.Q.); [email protected] (L.T.); [email protected] (J.G.); [email protected] (J.Q.); [email protected] (D.L.); [email protected] (H.Q.); [email protected] (P.S.) 2 Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA 3 Department of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA * Correspondence: [email protected]; Tel.: +1-267-426-0088 Abstract: Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder with poorly understood molecular mechanisms that results in significant impairment in children. In this study, we sought to assess the role of rare recurrent variants in non-European populations and outside of coding regions. We generated whole genome sequence (WGS) data on 875 individuals, Citation: Liu, Y.; Chang, X.; Qu, including 205 ADHD cases and 670 non-ADHD controls. The cases included 116 African Americans H.-Q.; Tian, L.; Glessner, J.; Qu, J.; Li, (AA) and 89 European Americans (EA), and the controls included 408 AA and 262 EA. -
Association of Neurexin 3 Polymorphisms with Smoking Behavior
Genes, Brain and Behavior (2012) 11: 704–711 doi: 10.1111/j.1601-183X.2012.00815.x Association of Neurexin 3 polymorphisms with smoking behavior E. Docampo†,M.Ribases´ ‡,§,¶, M. Gratacos` †,E. smoking behavior, and strongly implicate this gene in Bruguera¶, C. Cabezas∗∗,C.Sanchez-Mora´ ‡,G. genetic vulnerability to addictive behaviors. Nieva§,¶, D. Puente††, J. M. Argimon-Pallas` ‡‡, Keywords: Addiction, association, NRXN3, smoking, SNP M. Casas§,¶,§§, R. Rabionet∗,† and X. Estivill† Received 26 Jan 2012, revised 21 Mar 2012 and 22 May 2012, accepted for publication 11 June 2012 †Genes and Disease Program, Centre for Genomic Regulation (CRG) and UPF and Centro de Investigacion´ Biomedica´ en Red en Epidemiología y Salud Publica´ (CIBERESP), ‡Psychiatric Genetics Unit, Vall d’Hebron Research Institute (VHIR), According to the 2011 World Health Organization report on §Biomedical Network Research Centre on Mental Health the global tobacco epidemic, tobacco kills nearly 6 million (CIBERSAM), ¶Department of Psychiatry, Hospital Universitari people each year, causing hundreds of billions of dollars of Vall d’Hebron, **Subdireccio´ General de PromociodelaSalut,´ economic damage worldwide (WHO 2011). In fact, smoking Direccio´ General de Salut Publica,´ Departament de Salut, is the single greatest contributor to preventable ill health and ††Institut Universitari d’InvestigacioenAtenci´ oPrim´ aria` Jordi premature death (reviewed in Bierut 2011). The development Gol, ‡‡Divisio´ d’Avaluacio,´ Servei CataladelaSalut,and` of nicotine addiction is influenced by environmental and §§Department of Psychiatry and Legal Medicine, Universitat genetic factors, and while environmental factors have a Autonoma` de Barcelona, Catalonia, Spain stronger influence on initiation, genetic factors play a more *Corresponding author: R. Rabionet, Genes and Disease Pro- significant role in the transition from regular use to addiction gram, Center for Genomic Regulation (CRG-UPF), C/Dr. -
Transcriptomic Causal Networks Identified Patterns of Differential Gene Regulation in Human Brain from Schizophrenia Cases Versus Controls
Transcriptomic Causal Networks identified patterns of differential gene regulation in human brain from Schizophrenia cases versus controls Akram Yazdani1, Raul Mendez-Giraldez2, Michael R Kosorok3, Panos Roussos1,4,5 1Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA 2Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, NC, USA 3Department of Biostatistics, University of North Carolina at Chapel Hill, NC, USA 4Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 5Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, New York, 10468, USA Abstract Common and complex traits are the consequence of the interaction and regulation of multiple genes simultaneously, which work in a coordinated way. However, the vast majority of studies focus on the differential expression of one individual gene at a time. Here, we aim to provide insight into the underlying relationships of the genes expressed in the human brain in cases with schizophrenia (SCZ) and controls. We introduced a novel approach to identify differential gene regulatory patterns and identify a set of essential genes in the brain tissue. Our method integrates genetic, transcriptomic, and Hi-C data and generates a transcriptomic-causal network. Employing this approach for analysis of RNA-seq data from CommonMind Consortium, we identified differential regulatory patterns for SCZ cases and control groups to unveil the mechanisms that control the transcription of the genes in the human brain. Our analysis identified modules with a high number of SCZ-associated genes as well as assessing the relationship of the hubs with their down-stream genes in both, cases and controls. -
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BioMed Research International Integrated Analysis of Multiscale Large-Scale Biological Data for Investigating Human Disease 2016 Guest Editors: Tao Huang, Lei Chen, Jiangning Song, Mingyue Zheng, Jialiang Yang, and Zhenguo Zhang Integrated Analysis of Multiscale Large-Scale Biological Data for Investigating Human Disease 2016 BioMed Research International Integrated Analysis of Multiscale Large-Scale Biological Data for Investigating Human Disease 2016 GuestEditors:TaoHuang,LeiChen,JiangningSong, Mingyue Zheng, Jialiang Yang, and Zhenguo Zhang Copyright © 2016 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “BioMed Research International.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Contents Integrated Analysis of Multiscale Large-Scale Biological Data for Investigating Human Disease 2016 Tao Huang, Lei Chen, Jiangning Song, Mingyue Zheng, Jialiang Yang, and Zhenguo Zhang Volume 2016, Article ID 6585069, 2 pages New Trends of Digital Data Storage in DNA Pavani Yashodha De Silva and Gamage Upeksha Ganegoda Volume 2016, Article ID 8072463, 14 pages Analyzing the miRNA-Gene Networks to Mine the Important miRNAs under Skin of Human and Mouse Jianghong Wu, Husile Gong, Yongsheng Bai, and Wenguang Zhang Volume 2016, Article ID 5469371, 9 pages Differential Regulatory Analysis Based on Coexpression Network in Cancer Research Junyi