Metascape Provides a Biologist-Oriented Resource for the Analysis of Systems-Level Datasets
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Efficacy and Mechanistic Evaluation of Tic10, a Novel Antitumor Agent
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2012 Efficacy and Mechanisticv E aluation of Tic10, A Novel Antitumor Agent Joshua Edward Allen University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Oncology Commons Recommended Citation Allen, Joshua Edward, "Efficacy and Mechanisticv E aluation of Tic10, A Novel Antitumor Agent" (2012). Publicly Accessible Penn Dissertations. 488. https://repository.upenn.edu/edissertations/488 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/488 For more information, please contact [email protected]. Efficacy and Mechanisticv E aluation of Tic10, A Novel Antitumor Agent Abstract TNF-related apoptosis-inducing ligand (TRAIL; Apo2L) is an endogenous protein that selectively induces apoptosis in cancer cells and is a critical effector in the immune surveillance of cancer. Recombinant TRAIL and TRAIL-agonist antibodies are in clinical trials for the treatment of solid malignancies due to the cancer-specific cytotoxicity of TRAIL. Recombinant TRAIL has a short serum half-life and both recombinant TRAIL and TRAIL receptor agonist antibodies have a limited capacity to perfuse to tissue compartments such as the brain, limiting their efficacy in certain malignancies. To overcome such limitations, we searched for small molecules capable of inducing the TRAIL gene using a high throughput luciferase reporter gene assay. We selected TRAIL-inducing compound 10 (TIC10) for further study based on its induction of TRAIL at the cell surface and its promising therapeutic index. TIC10 is a potent, stable, and orally active antitumor agent that crosses the blood-brain barrier and transcriptionally induces TRAIL and TRAIL-mediated cell death in a p53-independent manner. -
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. -
Genome-Wide Parent-Of-Origin DNA Methylation Analysis Reveals The
Downloaded from genome.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Research Genome-wide parent-of-origin DNA methylation analysis reveals the intricacies of human imprinting and suggests a germline methylation-independent mechanism of establishment Franck Court,1,15 Chiharu Tayama,2,15 Valeria Romanelli,1,15 Alex Martin-Trujillo,1,15 Isabel Iglesias-Platas,3 Kohji Okamura,4 Naoko Sugahara,2 Carlos Simo´n,5 Harry Moore,6 Julie V. Harness,7 Hans Keirstead,7 Jose Vicente Sanchez-Mut,8 Eisuke Kaneki,9 Pablo Lapunzina,10 Hidenobu Soejima,11 Norio Wake,9 Manel Esteller,8,12,13 Tsutomu Ogata,14 Kenichiro Hata,2 Kazuhiko Nakabayashi,2,16,17 and David Monk1,16,17 1–14[Author affiliations appear at the end of the paper.] Differential methylation between the two alleles of a gene has been observed in imprinted regions, where the methylation of one allele occurs on a parent-of-origin basis, the inactive X-chromosome in females, and at those loci whose methylation is driven by genetic variants. We have extensively characterized imprinted methylation in a substantial range of normal human tissues, reciprocal genome-wide uniparental disomies, and hydatidiform moles, using a combination of whole- genome bisulfite sequencing and high-density methylation microarrays. This approach allowed us to define methylation profiles at known imprinted domains at base-pair resolution, as well as to identify 21 novel loci harboring parent-of-origin methylation, 15 of which are restricted to the placenta. We observe that the extent of imprinted differentially methylated regions (DMRs) is extremely similar between tissues, with the exception of the placenta. -
Recent Selection Changes in Human Genes Under Long-Term Balancing Selection Cesare De Filippo,*,1 Felix M
MBE Advance Access published March 10, 2016 Recent Selection Changes in Human Genes under Long-Term Balancing Selection Cesare de Filippo,*,1 Felix M. Key,1 Silvia Ghirotto,2 Andrea Benazzo,2 Juan R. Meneu,1 Antje Weihmann,1 NISC Comparative Sequence Program,3 Genı´s Parra,1 Eric D. Green,3 and Aida M. Andre´s*,1 1Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany 2Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy 3National Human Genome Research Institute, National Institutes of Health, Bethesda, MD *Corresponding author: E-mail: cesare_fi[email protected]; [email protected]. Associate editor: Ryan Hernandez Abstract Balancing selection is an important evolutionary force that maintains genetic and phenotypic diversity in populations. Most studies in humans have focused on long-standing balancing selection, which persists over long periods of time and is generally shared across populations. But balanced polymorphisms can also promote fast adaptation, especially when the Downloaded from environment changes. To better understand the role of previously balanced alleles in novel adaptations, we analyzed in detail four loci as case examples of this mechanism. These loci show hallmark signatures of long-term balancing selection in African populations, but not in Eurasian populations. The disparity between populations is due to changes in allele frequencies, with intermediate frequency alleles in Africans (likely due to balancing selection) segregating instead at low- or high-derived allele frequency in Eurasia. We explicitly tested the support for different evolutionary models with an http://mbe.oxfordjournals.org/ approximate Bayesian computation approach and show that the patterns in PKDREJ, SDR39U1,andZNF473 are best explained by recent changes in selective pressure in certain populations. -
The Interactome of KRAB Zinc Finger Proteins Reveals the Evolutionary History of Their Functional Diversification
Resource The interactome of KRAB zinc finger proteins reveals the evolutionary history of their functional diversification Pierre-Yves Helleboid1,†, Moritz Heusel2,†, Julien Duc1, Cécile Piot1, Christian W Thorball1, Andrea Coluccio1, Julien Pontis1, Michaël Imbeault1, Priscilla Turelli1, Ruedi Aebersold2,3,* & Didier Trono1,** Abstract years ago (MYA) (Imbeault et al, 2017). Their products harbor an N-terminal KRAB (Kru¨ppel-associated box) domain related to that of Krüppel-associated box (KRAB)-containing zinc finger proteins Meisetz (a.k.a. PRDM9), a protein that originated prior to the diver- (KZFPs) are encoded in the hundreds by the genomes of higher gence of chordates and echinoderms, and a C-terminal array of zinc vertebrates, and many act with the heterochromatin-inducing fingers (ZNF) with sequence-specific DNA-binding potential (Urru- KAP1 as repressors of transposable elements (TEs) during early tia, 2003; Birtle & Ponting, 2006; Imbeault et al, 2017). KZFP genes embryogenesis. Yet, their widespread expression in adult tissues multiplied by gene and segment duplication to count today more and enrichment at other genetic loci indicate additional roles. than 350 and 700 representatives in the human and mouse Here, we characterized the protein interactome of 101 of the ~350 genomes, respectively (Urrutia, 2003; Kauzlaric et al, 2017). A human KZFPs. Consistent with their targeting of TEs, most KZFPs majority of human KZFPs including all primate-restricted family conserved up to placental mammals essentially recruit KAP1 and members target sequences derived from TEs, that is, DNA trans- associated effectors. In contrast, a subset of more ancient KZFPs posons, ERVs (endogenous retroviruses), LINEs, SINEs (long and rather interacts with factors related to functions such as genome short interspersed nuclear elements, respectively), or SVAs (SINE- architecture or RNA processing. -
1 Mutational Heterogeneity in Cancer Akash Kumar a Dissertation
Mutational Heterogeneity in Cancer Akash Kumar A dissertation Submitted in partial fulfillment of requirements for the degree of Doctor of Philosophy University of Washington 2014 June 5 Reading Committee: Jay Shendure Pete Nelson Mary Claire King Program Authorized to Offer Degree: Genome Sciences 1 University of Washington ABSTRACT Mutational Heterogeneity in Cancer Akash Kumar Chair of the Supervisory Committee: Associate Professor Jay Shendure Department of Genome Sciences Somatic mutation plays a key role in the formation and progression of cancer. Differences in mutation patterns likely explain much of the heterogeneity seen in prognosis and treatment response among patients. Recent advances in massively parallel sequencing have greatly expanded our capability to investigate somatic mutation. Genomic profiling of tumor biopsies could guide the administration of targeted therapeutics on the basis of the tumor’s collection of mutations. Central to the success of this approach is the general applicability of targeted therapies to a patient’s entire tumor burden. This requires a better understanding of the genomic heterogeneity present both within individual tumors (intratumoral) and amongst tumors from the same patient (intrapatient). My dissertation is broadly organized around investigating mutational heterogeneity in cancer. Three projects are discussed in detail: analysis of (1) interpatient and (2) intrapatient heterogeneity in men with disseminated prostate cancer, and (3) investigation of regional intratumoral heterogeneity in -
Lineage-Specific Programming Target Genes Defines Potential for Th1 Temporal Induction Pattern of STAT4
Downloaded from http://www.jimmunol.org/ by guest on October 1, 2021 is online at: average * The Journal of Immunology published online 26 August 2009 from submission to initial decision 4 weeks from acceptance to publication J Immunol http://www.jimmunol.org/content/early/2009/08/26/jimmuno l.0901411 Temporal Induction Pattern of STAT4 Target Genes Defines Potential for Th1 Lineage-Specific Programming Seth R. Good, Vivian T. Thieu, Anubhav N. Mathur, Qing Yu, Gretta L. Stritesky, Norman Yeh, John T. O'Malley, Narayanan B. Perumal and Mark H. Kaplan Submit online. Every submission reviewed by practicing scientists ? is published twice each month by http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://www.jimmunol.org/content/suppl/2009/08/26/jimmunol.090141 1.DC1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* • Why • • Material Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2009 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of October 1, 2021. Published August 26, 2009, doi:10.4049/jimmunol.0901411 The Journal of Immunology Temporal Induction Pattern of STAT4 Target Genes Defines Potential for Th1 Lineage-Specific Programming1 Seth R. Good,2* Vivian T. Thieu,2† Anubhav N. Mathur,† Qing Yu,† Gretta L. -
A Curated Database of Experimentally Identified Interaction Proteins Of
International Journal of Molecular Sciences Article OGT Protein Interaction Network (OGT-PIN): A Curated Database of Experimentally Identified Interaction Proteins of OGT Junfeng Ma 1,* , Chunyan Hou 2, Yaoxiang Li 1 , Shufu Chen 3 and Ci Wu 1 1 Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University Medical Center, Washington, DC 20057, USA; [email protected] (Y.L.); [email protected] (C.W.) 2 Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China; [email protected] 3 School of Engineering, Pennsylvania State University Behrend, Erie, PA 16563, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-202-6873802 Abstract: Interactions between proteins are essential to any cellular process and constitute the basis for molecular networks that determine the functional state of a cell. With the technical advances in recent years, an astonishingly high number of protein–protein interactions has been revealed. However, the interactome of O-linked N-acetylglucosamine transferase (OGT), the sole enzyme adding the O-linked β-N-acetylglucosamine (O-GlcNAc) onto its target proteins, has been largely undefined. To that end, we collated OGT interaction proteins experimentally identified in the past several decades. Rigorous curation of datasets from public repositories and O-GlcNAc-focused publications led to the identification of up to 929 high-stringency OGT interactors from multiple species studied (including Homo sapiens, Mus musculus, Rattus norvegicus, Drosophila melanogaster, Citation: Ma, J.; Hou, C.; Li, Y.; Chen, S.; Wu, C. OGT Protein Interaction Arabidopsis thaliana, and others). Among them, 784 human proteins were found to be interactors Network (OGT-PIN): A Curated of human OGT. -
Analysis of Alternative Splicing Associated with Aging and Neurodegeneration in the Human Brain
Downloaded from genome.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press Research Analysis of alternative splicing associated with aging and neurodegeneration in the human brain James R. Tollervey,1 Zhen Wang,1 Tibor Hortoba´gyi,2 Joshua T. Witten,1 Kathi Zarnack,3 Melis Kayikci,1 Tyson A. Clark,4 Anthony C. Schweitzer,4 Gregor Rot,5 Tomazˇ Curk,5 Blazˇ Zupan,5 Boris Rogelj,2 Christopher E. Shaw,2 and Jernej Ule1,6 1MRC Laboratory of Molecular Biology, Hills Road, Cambridge CB2 0QH, United Kingdom; 2MRC Centre for Neurodegeneration Research, King’s College London, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, United Kingdom; 3EMBL–European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom; 4Expression Research, Affymetrix, Inc., Santa Clara, California 95051, USA; 5Faculty of Computer and Information Science, University of Ljubljana, Trzˇasˇka 25, SI-1000 Ljubljana, Slovenia Age is the most important risk factor for neurodegeneration; however, the effects of aging and neurodegeneration on gene expression in the human brain have most often been studied separately. Here, we analyzed changes in transcript levels and alternative splicing in the temporal cortex of individuals of different ages who were cognitively normal, affected by frontotemporal lobar degeneration (FTLD), or affected by Alzheimer’s disease (AD). We identified age-related splicing changes in cognitively normal individuals and found that these were present also in 95% of individuals with FTLD or AD, independent of their age. These changes were consistent with increased polypyrimidine tract binding protein (PTB)– dependent splicing activity. We also identified disease-specific splicing changes that were present in individuals with FTLD or AD, but not in cognitively normal individuals. -
Dual Function of C/D Box Small Nucleolar Rnas in Rrna PNAS PLUS Modification and Alternative Pre-Mrna Splicing
Dual function of C/D box small nucleolar RNAs in rRNA PNAS PLUS modification and alternative pre-mRNA splicing Marina Falaleevaa, Amadis Pagesb, Zaneta Matuszeka, Sana Hidmic, Lily Agranat-Tamirc, Konstantin Korotkova, Yuval Nevod, Eduardo Eyrasb,e, Ruth Sperlingc, and Stefan Stamma,1 aDepartment of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY 40536; bDepartment of Experimental and Health Sciences, Universitat Pompeu Fabra, E08003 Barcelona, Spain; cDepartment of Genetics, Hebrew University of Jerusalem, 91904 Jerusalem, Israel; dDepartment of Microbiology and Molecular Genetics, Computation Center at the Hebrew University and Hadassah Medical Center, 91904 Jerusalem, Israel; and eCatalan Institution for Research and Advanced Studies, E08010 Barcelona, Spain Edited by James E. Dahlberg, University of Wisconsin Medical School, Madison, WI, and approved February 5, 2016 (received for review October 1, 2015) C/D box small nucleolar RNAs (SNORDs) are small noncoding RNAs, SNORD fragments are not microRNAs, which have an average and their best-understood function is to target the methyltrans- length of 21–22 nt (13–16), and suggests that these fragments may ferase fibrillarin to rRNA (for example, SNORD27 performs 2′-O- have additional functions. methylation of A27 in 18S rRNA). Unexpectedly, we found a subset The association of some SNORDs with specific diseases sug- of SNORDs, including SNORD27, in soluble nuclear extract made gests that they may possess functions in addition to directing the under native conditions, where fibrillarin was not detected, indi- 2′-O-methylation of rRNA. For example, the loss of SNORD116 cating that a fraction of the SNORD27 RNA likely forms a protein expression is a decisive factor in Prader–Willi syndrome, the most complex different from canonical snoRNAs found in the insoluble common genetic cause for hyperphagia and obesity (17, 18). -
Epstein-Barr Virus Viral Protein Lmp1 Increases Rap1
EPSTEIN-BARR VIRUS VIRAL PROTEIN LMP1 INCREASES RAP1 SUMOYLATION, ENHANCING TELOMERE MAINTENANCE DURING TUMORIGENESIS By WYATT TYLER CRAMBLET B.S., Biology, Gordon State College, 2016 A Thesis Submitted to the Faculty of Mercer University School of Medicine in Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE IN BIOMEDICAL SCIENCE Macon, GA 2018 EPSTEIN-BARR VIRUS VIRAL PROTEIN LMP1 INCREASES RAP1 SUMOYLATION, ENHANCING TELOMERE MAINTENANCE DURING TUMORIGENESIS By WYATT TYLER CRAMBLET Approved: ___________________________________________ Date _________ Gretchen L. Bentz, Ph.D. Faculty Advisor for Thesis ___________________________________________ Date _________ Richard O. McCann, Ph.D. Thesis Committee Member ___________________________________________ Date _________ Laura Silo-Suh, Ph.D. Thesis Committee Member ___________________________________________ Date _________ Jon Shuman, Ph.D. Thesis Committee Member ___________________________________________ Date _________ Jean Sumner, MD Dean, Mercer University School of Medicine ACKNOWLEDGEMENTS I would like to thank the National Institutes of Health for providing the funding for this project and Mercer University School of Medicine for the opportunity for discovery and knowledge this experience has provided me. My utmost respect and gratitude goes to Dr. Gretchen Bentz. Along the course of my research Dr. Bentz has always provided what I required to be successful: materials, focus, experience, and understanding. Her guidance at both the lab and the writing desk is what has allowed me to accomplish the greatest achievement of my academic career. I thank Dr. Richard McCann and Dr. Christy Bridges who have been the Directors of the Master of Science Biomedical Sciences Program. Their leadership has been invaluable to my peers and me for becoming the professionals we set out to be. -
G:Profiler: a Web Server for Functional Enrichment Analysis And
Published online 8 May 2019 Nucleic Acids Research, 2019, Vol. 47, Web Server issue W191–W198 doi: 10.1093/nar/gkz369 g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update) Uku Raudvere 1,†, Liis Kolberg 1,†,IvanKuzmin 1, Tambet Arak1, Priit Adler1,2, Hedi Peterson 1,2,* and Jaak Vilo 1,2,3,* 1Institute of Computer Science, University of Tartu, J. Liivi 2, 50409 Tartu, Estonia, 2Quretec Ltd, Ulikooli¨ 6a, 51003, Tartu, Estonia and 3Software Technology and Applications Competence Centre, Ulikooli¨ 2, 51003 Tartu, Estonia Received February 27, 2019; Revised April 07, 2019; Editorial Decision April 16, 2019; Accepted April 29, 2019 ABSTRACT novel findings against the body of previous knowledge. The landscape of enrichment analysis tools is diverse covering Biological data analysis often deals with lists of different data sources, species, identifier types and methods. genes arising from various studies. The g:Profiler While the majority of services provide mappings to the most toolset is widely used for finding biological cate- widely used knowledge resource Gene Ontology (GO) (6), gories enriched in gene lists, conversions between the selection of other data sources varies between the tools. gene identifiers and mappings to their orthologs. The For example, Human Phenotype Ontology (7) is available mission of g:Profiler is to provide a reliable service in Enrichr, WebGestalt, Metascape and g:Profiler (1–3,8), based on up-to-date high quality data in a conve- while mirTarBase miRNA target information is included nient manner across many evidence types, identi- only in a few tools, e.g.