Limitations of the Rhesus Macaque Draft Genome Assembly and Annotation
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A High Throughput, Functional Screen of Human Body Mass Index GWAS Loci Using Tissue-Specific Rnai Drosophila Melanogaster Crosses Thomas J
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2018 A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses Thomas J. Baranski Washington University School of Medicine in St. Louis Aldi T. Kraja Washington University School of Medicine in St. Louis Jill L. Fink Washington University School of Medicine in St. Louis Mary Feitosa Washington University School of Medicine in St. Louis Petra A. Lenzini Washington University School of Medicine in St. Louis See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Baranski, Thomas J.; Kraja, Aldi T.; Fink, Jill L.; Feitosa, Mary; Lenzini, Petra A.; Borecki, Ingrid B.; Liu, Ching-Ti; Cupples, L. Adrienne; North, Kari E.; and Province, Michael A., ,"A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses." PLoS Genetics.14,4. e1007222. (2018). https://digitalcommons.wustl.edu/open_access_pubs/6820 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Thomas J. Baranski, Aldi T. Kraja, Jill L. Fink, Mary Feitosa, Petra A. Lenzini, Ingrid B. Borecki, Ching-Ti Liu, L. Adrienne Cupples, Kari E. North, and Michael A. Province This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/6820 RESEARCH ARTICLE A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses Thomas J. -
Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis
Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis Ugo Ala1., Rosario Michael Piro1., Elena Grassi1, Christian Damasco1, Lorenzo Silengo1, Martin Oti2, Paolo Provero1*, Ferdinando Di Cunto1* 1 Molecular Biotechnology Center, Department of Genetics, Biology and Biochemistry, University of Turin, Turin, Italy, 2 Department of Human Genetics and Centre for Molecular and Biomolecular Informatics, University Medical Centre Nijmegen, Nijmegen, The Netherlands Abstract Background: Even in the post-genomic era, the identification of candidate genes within loci associated with human genetic diseases is a very demanding task, because the critical region may typically contain hundreds of positional candidates. Since genes implicated in similar phenotypes tend to share very similar expression profiles, high throughput gene expression data may represent a very important resource to identify the best candidates for sequencing. However, so far, gene coexpression has not been used very successfully to prioritize positional candidates. Methodology/Principal Findings: We show that it is possible to reliably identify disease-relevant relationships among genes from massive microarray datasets by concentrating only on genes sharing similar expression profiles in both human and mouse. Moreover, we show systematically that the integration of human-mouse conserved coexpression with a phenotype similarity map allows the efficient identification of disease genes in large genomic regions. Finally, using this approach on 850 OMIM loci characterized by an unknown molecular basis, we propose high-probability candidates for 81 genetic diseases. Conclusion: Our results demonstrate that conserved coexpression, even at the human-mouse phylogenetic distance, represents a very strong criterion to predict disease-relevant relationships among human genes. Citation: Ala U, Piro RM, Grassi E, Damasco C, Silengo L, et al. -
A High Throughput, Functional Screen of Human Body Mass Index GWAS Loci Using Tissue-Specific Rnai Drosophila Melanogaster Crosses
RESEARCH ARTICLE A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses Thomas J. Baranski1*, Aldi T. Kraja2, Jill L. Fink1, Mary Feitosa2, Petra A. Lenzini2, Ingrid B. Borecki3, Ching-Ti Liu4, L. Adrienne Cupples4, Kari E. North5, Michael A. Province2* a1111111111 1 Department of Internal Medicine, Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, Missouri, United States of America, 2 Department of Genetics and a1111111111 Center for Genome Sciences and Systems Biology, Division of Statistical Genomics, Washington University a1111111111 School of Medicine, St. Louis, Missouri, United States of America, 3 Department of Biostatistics, University of a1111111111 Washington, Seattle, Washington, United States of America, 4 Department of Biostatistics, Boston University a1111111111 School of Public Health, Boston, Massachusetts, United States of America, 5 Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America * [email protected] (TJB); [email protected] (MAP) OPEN ACCESS Citation: Baranski TJ, Kraja AT, Fink JL, Feitosa M, Abstract Lenzini PA, Borecki IB, et al. (2018) A high Human GWAS of obesity have been successful in identifying loci associated with adiposity, throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi but for the most part, these are non-coding SNPs whose function, or even whose gene of Drosophila melanogaster crosses. PLoS Genet 14 action, is unknown. To help identify the genes on which these human BMI loci may be oper- (4): e1007222. https://doi.org/10.1371/journal. ating, we conducted a high throughput screen in Drosophila melanogaster. -
Acquired Genetic Alterations in Tumor Cells Dictate the Development of High-Risk Neuroblastoma and Clinical Outcomes Faizan H
Khan et al. BMC Cancer (2015) 15:514 DOI 10.1186/s12885-015-1463-y RESEARCH ARTICLE Open Access Acquired genetic alterations in tumor cells dictate the development of high-risk neuroblastoma and clinical outcomes Faizan H. Khan1, Vijayabaskar Pandian1, Satishkumar Ramraj1, Mohan Natarajan2, Sheeja Aravindan3, Terence S. Herman1,3 and Natarajan Aravindan1* Abstract Background: Determining the driving factors and molecular flow-through that define the switch from favorable to aggressive high-risk disease is critical to the betterment of neuroblastoma cure. Methods: In this study, we examined the cytogenetic and tumorigenic physiognomies of distinct population of metastatic site- derived aggressive cells (MSDACs) from high-risk tumors, and showed the influence of acquired genetic rearrangements on poor patient outcomes. Results: Karyotyping in SH-SY5Y and MSDACs revealed trisomy of 1q, with additional non-random chromosomal rearrangements on 1q32, 8p23, 9q34, 15q24, 22q13 (additions), and 7q32 (deletion). Array CGH analysis of individual clones of MSDACs revealed genetic alterations in chromosomes 1, 7, 8, and 22, corresponding to a gain in the copy numbers of LOC100288142, CD1C, CFHR3, FOXP2, MDFIC, RALYL, CSMD3, SAMD12-AS1, and MAL2, and a loss in ADAM5, LOC400927, APOBEC3B, RPL3, MGAT3, SLC25A17, EP300, L3MBTL2, SERHL, POLDIP3, A4GALT, and TTLL1. QPCR analysis and immunoblotting showed a definite association between DNA-copy number changes and matching transcriptional/translational expression in clones of MSDACs. Further, MSDACs exert a stem-like phenotype. Under serum-free conditions, MSDACs demonstrated profound tumorosphere formation ex vivo. Moreover, MSDACs exhibited high tumorigenic capacity in vivo and prompted aggressive metastatic disease. Tissue microarray analysis coupled with automated IHC revealed significant association of RALYL to the tumor grade in a cohort of 25 neuroblastoma patients. -
Sequence, Structure and Context Preferences of Human RNA
bioRxiv preprint doi: https://doi.org/10.1101/201996; this version posted October 12, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Sequence, Structure and Context Preferences of Human RNA Binding Proteins Daniel Dominguez§,1, Peter Freese§,2, Maria Alexis§,2, Amanda Su1, Myles Hochman1, Tsultrim Palden1, Cassandra Bazile1, Nicole J Lambert1, Eric L Van Nostrand3,4, Gabriel A. Pratt3,4,5, Gene W. Yeo3,4,6,7, Brenton R. Graveley8, Christopher B. Burge1,9,* 1. Department of Biology, MIT, Cambridge MA 2. Program in Computational and Systems Biology, MIT, Cambridge MA 3. Department of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, CA 4. Institute for Genomic Medicine, University of California at San Diego, La Jolla, CA 5. Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA 6. Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 7. Molecular Engineering Laboratory. A*STAR, Singapore 8. Department of Genetics and Genome Sciences, Institute for Systems Genomics, Univ. Connecticut Health, Farmington, CT 9. Department of Biological Engineering, MIT, Cambridge MA * Address correspondence to: [email protected] 1 of 61 bioRxiv preprint doi: https://doi.org/10.1101/201996; this version posted October 12, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
CRAVAT and Mupit Interacsve: Web Tools for Cancer Mutason Analysis
CRAVAT and MuPIT Interac2ve: Web Tools for Cancer Mutaon Analysis Rachel Karchin, Ph.D. Department of Biomedical Engineering Ins2tute for Computaonal Medicine Johns Hopkins University The Cancer Genome Atlas’ 2nd Annual Scien2fic Symposium November 27-28, 2012 Need for computaonal tools to analyze large-scale cancer mutaon data 2 Goal is to provide an end-to-end mutaon analysis workflow List of mutaons from tumor sequencing Iden2fy type of Iden2fy known Map to transcripts change (missense, variants and nonsense, silent) mutaons Analysis Predict driver vs. Predict func2onal Visualize Find significantly random impact of mutaons on mutated genes mutaons mutaons ter2ary structure and pathways 3 The majority of somac mutaons in tumor exomes are missense Sjoblom et al 2006 Hunter et al 2005 Davies et al 2005 Stephens et al 2005 Sjoblom et al 2006 Missense Nonsense Silent Splice Other Colorectal Breast Greenman et al 2007 Jones et al 2008 Parsons et al 2008 McLendon et al 2008 Ding et al 2008 Parsons et al 2011 Jones et al 2010 TCGA 2010 Stransky et al 2011 Li et al 2011 4 hfp://www.cravat.us Tools for evaluang missense mutaons – CHASM: cancer driver analysis hfp://mupit.icm.jhu.edu – VEST: Func2onal effect analysis – Annotaons (1000g, ESP6500, COSMIC, GeneCards, PubMed) Interac2ve visualizaon on 3D protein structure – Automac mapping onto available structures – Simple interac2ve interface – UniProtKB feature table annotaons provided – Publicaon quality figures 5 Outline • Introduc2on to CRAVAT • Introduc2on to MuPIT • Future plans • Your input 6 -
“Functional Characterization of the RNA Binding Protein RALY”
International Doctoral School in Biomolecular Sciences XXV Cycle “Functional characterization of the RNA binding protein RALY” Tutor Professor Paolo MACCHI CIBIO- University of Trento Ph.D. Thesis of Albertomaria MORO CIBIO- University of Trento Academic Year 2012-2013 To myself and my little world... INDEX 1 - Introduction ....................................................................................................... 1 1.1 The RNA-binding proteins ............................................................................. 2 1.2 The hnRNP super family ............................................................................... 5 1.2.1 Properties of hnRNPs ............................................................................ 5 1.3 RALY: a new member of hnRNPs ................................................................. 9 2 - Topic of my PhD project ................................................................................. 13 3 - Results ............................................................................................................ 15 3.1 Publication 1:............................................................................................... 15 3.2 additional results ......................................................................................... 16 3.2.1 RALY localization ................................................................................. 16 3.2.2 Polyribosome profiling .......................................................................... 20 3.2.3 The microarray -
Hub Genes Shared Across Nine Types of Solid Cancer
CellR4 2017; 5 (5): e2439 Cancer microarray data weighted gene co-expression network analysis identifies a gene module and hub genes shared across nine types of solid cancer J.-H. Yu, S.-H. Liu, Y.-W. Hong, S. Markowiak, R. Sanchez, J. Schroeder, D. Heidt, F. C. Brunicardi Department of Surgery, University of Toledo, College of Medicine and Life Sciences, Toledo, Ohio, USA Corresponding Author: F. Charles Brunicardi, MD; e-mail: [email protected] Keywords: Hub Gene, Gene Module, Gene Co-Expres- modules. These gene modules included BIRC5, sion Network, Microarra, Breast cancer, Glioblastoma, Me- TPX2, CDK1, and MKI67, which have previously duloblastoma, Ependymoma, Astrocytoma, Colon cancer, been shown to be associated with cancers. Gastric cancer, Liver cancer, Lung cancer, Pancreatic cancer, Conclusions: Genomic analysis revealed Renal cancer, Prostate cancer. overexpressed gene modules in nine different types of solid cancers and a shared network ABSTRACT of overexpressed genes common to all types. Objective: Microarray and next-generation se- These shared, overexpressed genes involve cell quencing techniques have revealed a series of and proliferation, supporting the idea that dif- somatic mutations and differentially expressed ferent cancers have a shared core molecular genes associated with multiple cancers. The ob- pathway. Elucidation of various networks of jective of this research was to identify networks gene modules among different types of cancers of overexpressed genes for nine common solid may provide better understanding of molecular cancers using a novel combination of systematic mechanisms for different cancers. genomic analysis and published cancer microar- ray databases. Materials and Methods: A total of twelve gene INTRODUCTION expression microarray datasets containing nine Tremendous progress has been made in genomic types of common solid cancers were obtained sequencing of cancer in the last decade. -
Camp Response Element-Binding Protein Is a Primary Hub of Activity-Driven Neuronal Gene Expression
The Journal of Neuroscience, December 14, 2011 • 31(50):18237–18250 • 18237 Cellular/Molecular cAMP Response Element-Binding Protein Is a Primary Hub of Activity-Driven Neuronal Gene Expression Eva Benito,1 Luis M. Valor,1 Maria Jimenez-Minchan,1 Wolfgang Huber,2 and Angel Barco1 1Instituto de Neurociencias de Alicante, Universidad Miguel Herna´ndez/Consejo Superior de Investigaciones Científicas, Sant Joan d’Alacant, 03550 Alicante, Spain, and 2European Molecular Biology Laboratory Heidelberg, Genome Biology Unit, 69117 Heidelberg, Germany Long-lasting forms of neuronal plasticity require de novo gene expression, but relatively little is known about the events that occur genome-wide in response to activity in a neuronal network. Here, we unveil the gene expression programs initiated in mouse hippocam- pal neurons in response to different stimuli and explore the contribution of four prominent plasticity-related transcription factors (CREB, SRF, EGR1, and FOS) to these programs. Our study provides a comprehensive view of the intricate genetic networks and interac- tions elicited by neuronal stimulation identifying hundreds of novel downstream targets, including novel stimulus-associated miRNAs and candidate genes that may be differentially regulated at the exon/promoter level. Our analyses indicate that these four transcription factors impinge on similar biological processes through primarily non-overlapping gene-expression programs. Meta-analysis of the datasets generated in our study and comparison with publicly available transcriptomics data revealed the individual and collective contribution of these transcription factors to different activity-driven genetic programs. In addition, both gain- and loss-of-function experiments support a pivotal role for CREB in membrane-to-nucleus signal transduction in neurons. -
Gene Modules Associated with Human Diseases Revealed by Network
bioRxiv preprint doi: https://doi.org/10.1101/598151; this version posted June 15, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Gene modules associated with human diseases revealed by network analysis Shisong Ma1,2*, Jiazhen Gong1†, Wanzhu Zuo1†, Haiying Geng1, Yu Zhang1, Meng Wang1, Ershang Han1, Jing Peng1, Yuzhou Wang1, Yifan Wang1, Yanyan Chen1 1. Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China 2. School of Data Science, University of Science and Technology of China, Hefei, Anhui 230027, China * To whom correspondence should be addressed. Email: [email protected] † These authors contribute equally. 1 bioRxiv preprint doi: https://doi.org/10.1101/598151; this version posted June 15, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. ABSTRACT Despite many genes associated with human diseases have been identified, disease mechanisms often remain elusive due to the lack of understanding how disease genes are connected functionally at pathways level. Within biological networks, disease genes likely map to modules whose identification facilitates etiology studies but remains challenging. We describe a systematic approach to identify disease-associated gene modules. -
Enrichment of B Cell Receptor Signaling and Epidermal Growth Factor Receptor Pathways in Monoclonal Gammopathy of Undetermined S
Chattopadhyay et al. Molecular Medicine (2018) 24:30 Molecular Medicine https://doi.org/10.1186/s10020-018-0031-8 RESEARCH ARTICLE Open Access Enrichment of B cell receptor signaling and epidermal growth factor receptor pathways in monoclonal gammopathy of undetermined significance: a genome-wide genetic interaction study Subhayan Chattopadhyay1,2*† , Hauke Thomsen1†, Miguel Inacio da Silva Filho1, Niels Weinhold3,4, Per Hoffmann5,6, Markus M. Nöthen5,7, Arendt Marina8, Karl-Heinz Jöckel8, Börge Schmidt8, Sonali Pechlivanis8, Christian Langer9, Hartmut Goldschmidt3,10, Kari Hemminki1,11 and Asta Försti1,11 Abstract Background: Recent identification of 10 germline variants predisposing to monoclonal gammopathy of undetermined significance (MGUS) explicates genetic dependency of this asymptomatic precursor condition with multiple myeloma (MM). Yet much of genetic burden as well as functional links remain unexplained. We propose a workflow to expand the search for susceptibility loci with genome-wide interaction and for subsequent identification of genetic clusters and pathways. Methods: Polygenic interaction analysis on 243 cases/1285 controls identified 14 paired risk loci belonging to unique chromosomal bands which were then replicated in two independent sets (case only study, 82 individuals; case/control study 236 cases/ 2484 controls). Further investigation on gene-set enrichment, regulatory pathway and genetic network was carried out with stand-alone in silico tools separately for both interaction and genome-wide association study-detected -
Comparative Analyses of Murine and Human Formyl Peptide Receptor 3
Aus der Fachrichtung Physiologie – Prof. Dr. Dr. Frank Zufall Theoretische Medizin und Biowissenschaften der Medizinischen Fakultät der Universität des Saarlandes, Homburg Comparative Analyses of Murine and Human Formyl Peptide Receptor 3 Dissertation zur Erlangung des Grades eines Doktors der Naturwissenschaften der Medizinischen Fakultät der UNIVERSITÄT DES SAARLANDES 2017 vorgelegt von: Hendrik Stempel geb. am: 22.12.1985 in Homburg Es gibt Stunden, in denen der Mensch von aller Unzulänglichkeit befreit ist. Man steht dann auf einem kleinen Flecken eines kleinen Planeten, schaut erstaunt die Schönheit des Ewigen, des in der Tiefe Unergründlichen. Man fühlt, es gibt nicht mehr Werden und Vergehen, es gibt nicht mehr Tod und Leben, sondern nur das Sein. Albert Einstein The following manuscripts emerged from this thesis: Stempel H, Jung M, Pérez-Gómez A, Leinders-Zufall T, Zufall F, Bufe B (2016) Strain- specific loss of formyl peptide receptor 3 in the murine vomeronasal and immune systems. J Biol Chem 291: 9762-9775 Stempel H, Zufall F, Bufe B. Evidence for an Orthologous Function of Mouse and Human Formyl Peptide Receptor 3. In preparation Table of Contents List of Figures ......................................................................................................................... IV List of Tables ........................................................................................................................... VI Abstract ................................................................................................................................