Limiting Bias in Biological Data Analysis by Pooling Information
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
And Short‐Term Outcomes in Renal Allografts with Deceased Donors
Received: 30 May 2017 | Revised: 28 October 2017 | Accepted: 13 November 2017 DOI: 10.1111/ajt.14594 ORIGINAL ARTICLE Long- and short- term outcomes in renal allografts with deceased donors: A large recipient and donor genome- wide association study Maria P. Hernandez-Fuentes1 | Christopher Franklin2 | Irene Rebollo-Mesa1 | Jennifer Mollon1,33 | Florence Delaney1,3 | Esperanza Perucha1 | Caragh Stapleton6 | Richard Borrows4 | Catherine Byrne5 | Gianpiero Cavalleri6 | Brendan Clarke7 | Menna Clatworthy8 | John Feehally9 | Susan Fuggle10 | Sarah A. Gagliano11 | Sian Griffin12 | Abdul Hammad13 | Robert Higgins14 | Alan Jardine15 | Mary Keogan31 | Timothy Leach16 | Iain MacPhee17 | Patrick B. Mark15 | James Marsh18 | Peter Maxwell19 | William McKane20 | Adam McLean21 | Charles Newstead22 | Titus Augustine23 | Paul Phelan24 | Steve Powis25 | Peter Rowe26 | Neil Sheerin27 | Ellen Solomon28 | Henry Stephens24 | Raj Thuraisingham29 | Richard Trembath28 | Peter Topham9 | Robert Vaughan30 | Steven H. Sacks1,3 | Peter Conlon6,31 | Gerhard Opelz32 | Nicole Soranzo2,33 | Michael E. Weale28 | Graham M. Lord1,3 | for the United Kingdom and Ireland Renal Transplant Consortium (UKIRTC) and the Wellcome Trust Case Control Consortium (WTCCC)-3 1King’s College London, MRC Centre for Transplantation, London, UK 2Welcome Trust Sanger Institute, Human Genetics, Cambridge, UK 3NIHR Biomedical Research Centre at Guy’s and St Thomas’, NHS Foundation Trust and King’s College London, London, UK 4Renal Institute of Birmingham, Department of Nephrology and Transplantation, -
A Genome-Wide Meta-Analysis Yields 46 New Loci Associating with Biomarkers of Iron Homeostasis
A Genome-Wide Meta-Analysis Yields 46 New Loci Associating with Biomarkers of Iron Homeostasis Bell, Steven ; Rigas, Andreas S. ; Magnusson, Magnus K. ; Ferkingstad, Egil ; Allara, Elias ; Bjornsdottir, Gyda ; Ramond, Anna ; Sørensen, Erik; Halldorsson, Gisli H. ; Paul, Dirk S. ; Burgdorf, Kristoffer Sølvsten; Eggertsson, Hanne P. ; Howson, Joanna M. M. ; Thørner, Lise W. ; Kristmundsdottir, Snaedis ; Astle, William J. ; Erikstrup, Christian; Sigurdsson, Jon K. ; Vukovic, Dragana; Dinh, Khoa M. ; Tragante, Vinicius ; Surendran, Praveen ; Pedersen, Ole Birger; Vidarsson, Brynja ; Jiang, Tao; Paarup, Helene M.; Onundarson, Pall T. ; Akbari, Parsa ; Nielsen, Kaspar René; Lund, Sigrun H. ; Juliusson, Kristinn ; Magnusson, Magnus I. ; Frigge, Michael L. ; Oddsson, Asmundur ; Olafsson, Isleifur ; Kaptoge, Stephen ; Hjalgrim, Henrik; Runarsson, Gudmundur ; Wood, Angela M. ; Jonsdottir, Ingileif ; Folkmann Hansen, Thomas; Sigurdardottir, Olof ; Stefansson, Hreinn ; Rye, David ; Andersen, Steffen; Banasik, Karina; Brunak, Søren; Burgdorf, Kristoffer ; Erikstrup, Christian; Jemec, Gregor Borut Ernst; Jennum, Poul; Johanssond, Pär I.; Nyegaard, Mette; Petersen, Mikkel; Werge, Thomas; Peters, James E. ; Westergaard, David; Holm, Hilma ; Soranzo, Nicole ; Thorleifsson, Gudmar ; Ouwehand, Willem H. ; Thorsteinsdottir, Unnur ; Roberts, David J. ; Sulem, Patrick; Butterworth, Adam S. ; Gudbjartsson, Daniel F. ; Danesh, John ; Brunak, Søren; Angelantonio, Emanuele Di ; Ullum, Henrik; Stefansson, Kari Document Version Final published version Published in: Communications Biology DOI: 10.1038/s42003-020-01575-z Publication date: 2021 License CC BY Citation for published version (APA): Bell, S., Rigas, A. S., Magnusson, M. K., Ferkingstad, E., Allara, E., Bjornsdottir, G., Ramond, A., Sørensen, E., Halldorsson, G. H., Paul, D. S., Burgdorf, K. S., Eggertsson, H. P., Howson, J. M. M., Thørner, L. W., Kristmundsdottir, S., Astle, W. J., Erikstrup, C., Sigurdsson, J. -
Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected]
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School July 2017 Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected] Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the Pathology Commons Scholar Commons Citation Mohamed, Mai, "Role of Amylase in Ovarian Cancer" (2017). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/6907 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Role of Amylase in Ovarian Cancer by Mai Mohamed A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Pathology and Cell Biology Morsani College of Medicine University of South Florida Major Professor: Patricia Kruk, Ph.D. Paula C. Bickford, Ph.D. Meera Nanjundan, Ph.D. Marzenna Wiranowska, Ph.D. Lauri Wright, Ph.D. Date of Approval: June 29, 2017 Keywords: ovarian cancer, amylase, computational analyses, glycocalyx, cellular invasion Copyright © 2017, Mai Mohamed Dedication This dissertation is dedicated to my parents, Ahmed and Fatma, who have always stressed the importance of education, and, throughout my education, have been my strongest source of encouragement and support. They always believed in me and I am eternally grateful to them. I would also like to thank my brothers, Mohamed and Hussien, and my sister, Mariam. I would also like to thank my husband, Ahmed. -
EMBO Encounters Issue43.Pdf
WINTER 2019/2020 ISSUE 43 Nine group leaders selected Meet the first EMBO Global Investigators PAGE 6 Accelerating scientific publishing EMBO publishing costs Review Commons Making our journals’ platform announced finances public PAGE 3 PAGES 10 – 11 Welcome, Young Investigators! Contract replaces stipend Marking ten years 27 group leaders join the programme EMBO Postdoctoral Fellowships EMBO Molecular Medicine receive an update celebrates anniversary PAGES 4 – 5 PAGE 7 PAGE 13 www.embo.org TABLE OF CONTENTS EMBO NEWS EMBO news Review Commons: accelerating publishing Page 3 EMBO Molecular Medicine turns ten © Marietta Schupp, EMBL Photolab Marietta Schupp, © Page 13 Editorial MBO was founded by scientists for Introducing 27 new Young Investigators scientists. This philosophy remains at Pages 4-5 Ethe heart of our organization until today. EMBO Members are vital in the running of our Meet the first EMBO Global programmes and activities: they screen appli- Accelerating scientific publishing 17 journals on board Investigators cations, interview candidates, decide on fund- Review Commons will manage the transfer of ing, and provide strategic direction. On pages EMBO and ASAPbio announced pre-journal portable review platform the manuscript, reviews, and responses to affili- Page 6 8-9 four members describe why they chose to ate journals. A consortium of seventeen journals New members meet in Heidelberg dedicate their time to an EMBO Committee across six publishers (see box) have joined the Fellowships: from stipends to contracts Pages 14 – 15 and what they took away from the experience. n December 2019, EMBO, in partnership with decide to submit their work to a journal, it will project by committing to use the Review Commons Page 7 When EMBO was created, the focus lay ASAPbio, launched Review Commons, a multi- allow editors to make efficient editorial decisions referee reports for their independent editorial deci- specifically on fostering cross-border inter- Ipublisher partnership which aims to stream- based on existing referee comments. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
The Landscape of Human Mutually Exclusive Splicing
bioRxiv preprint doi: https://doi.org/10.1101/133215; this version posted May 2, 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-ND 4.0 International license. The landscape of human mutually exclusive splicing Klas Hatje1,2,#,*, Ramon O. Vidal2,*, Raza-Ur Rahman2, Dominic Simm1,3, Björn Hammesfahr1,$, Orr Shomroni2, Stefan Bonn2§ & Martin Kollmar1§ 1 Group of Systems Biology of Motor Proteins, Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany 2 Group of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany 3 Theoretical Computer Science and Algorithmic Methods, Institute of Computer Science, Georg-August-University Göttingen, Germany § Corresponding authors # Current address: Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland $ Current address: Research and Development - Data Management (RD-DM), KWS SAAT SE, Einbeck, Germany * These authors contributed equally E-mail addresses: KH: [email protected], RV: [email protected], RR: [email protected], DS: [email protected], BH: [email protected], OS: [email protected], SB: [email protected], MK: [email protected] - 1 - bioRxiv preprint doi: https://doi.org/10.1101/133215; this version posted May 2, 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. -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
Development of Novel Analysis and Data Integration Systems to Understand Human Gene Regulation
Development of novel analysis and data integration systems to understand human gene regulation Dissertation zur Erlangung des Doktorgrades Dr. rer. nat. der Fakult¨atf¨urMathematik und Informatik der Georg-August-Universit¨atG¨ottingen im PhD Programme in Computer Science (PCS) der Georg-August University School of Science (GAUSS) vorgelegt von Raza-Ur Rahman aus Pakistan G¨ottingen,April 2018 Prof. Dr. Stefan Bonn, Zentrum f¨urMolekulare Neurobiologie (ZMNH), Betreuungsausschuss: Institut f¨urMedizinische Systembiologie, Hamburg Prof. Dr. Tim Beißbarth, Institut f¨urMedizinische Statistik, Universit¨atsmedizin, Georg-August Universit¨at,G¨ottingen Prof. Dr. Burkhard Morgenstern, Institut f¨urMikrobiologie und Genetik Abtl. Bioinformatik, Georg-August Universit¨at,G¨ottingen Pr¨ufungskommission: Prof. Dr. Stefan Bonn, Zentrum f¨urMolekulare Neurobiologie (ZMNH), Referent: Institut f¨urMedizinische Systembiologie, Hamburg Prof. Dr. Tim Beißbarth, Institut f¨urMedizinische Statistik, Universit¨atsmedizin, Korreferent: Georg-August Universit¨at,G¨ottingen Prof. Dr. Burkhard Morgenstern, Weitere Mitglieder Institut f¨urMikrobiologie und Genetik Abtl. Bioinformatik, der Pr¨ufungskommission: Georg-August Universit¨at,G¨ottingen Prof. Dr. Carsten Damm, Institut f¨urInformatik, Georg-August Universit¨at,G¨ottingen Prof. Dr. Florentin W¨org¨otter, Physikalisches Institut Biophysik, Georg-August-Universit¨at,G¨ottingen Prof. Dr. Stephan Waack, Institut f¨urInformatik, Georg-August Universit¨at,G¨ottingen Tag der m¨undlichen Pr¨ufung: der 30. M¨arz2018 -
Views for Entrez
BASIC RESEARCH www.jasn.org Phosphoproteomic Analysis Reveals Regulatory Mechanisms at the Kidney Filtration Barrier †‡ †| Markus M. Rinschen,* Xiongwu Wu,§ Tim König, Trairak Pisitkun,¶ Henning Hagmann,* † † † Caroline Pahmeyer,* Tobias Lamkemeyer, Priyanka Kohli,* Nicole Schnell, †‡ †† ‡‡ Bernhard Schermer,* Stuart Dryer,** Bernard R. Brooks,§ Pedro Beltrao, †‡ Marcus Krueger,§§ Paul T. Brinkkoetter,* and Thomas Benzing* *Department of Internal Medicine II, Center for Molecular Medicine, †Cologne Excellence Cluster on Cellular Stress | Responses in Aging-Associated Diseases, ‡Systems Biology of Ageing Cologne, Institute for Genetics, University of Cologne, Cologne, Germany; §Laboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland; ¶Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; **Department of Biology and Biochemistry, University of Houston, Houston, Texas; ††Division of Nephrology, Baylor College of Medicine, Houston, Texas; ‡‡European Molecular Biology Laboratory–European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom; and §§Max Planck Institute for Heart and Lung Research, Bad Nauheim, Germany ABSTRACT Diseases of the kidney filtration barrier are a leading cause of ESRD. Most disorders affect the podocytes, polarized cells with a limited capacity for self-renewal that require tightly controlled signaling to maintain their integrity, viability, and function. Here, we provide an atlas of in vivo phosphorylated, glomerulus- expressed -
Regulation of Cancer Stemness in Breast Ductal Carcinoma in Situ by Vitamin D Compounds
Author Manuscript Published OnlineFirst on May 28, 2020; DOI: 10.1158/1940-6207.CAPR-19-0566 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Analysis of the Transcriptome: Regulation of Cancer Stemness in Breast Ductal Carcinoma In Situ by Vitamin D Compounds Naing Lin Shan1, Audrey Minden1,5, Philip Furmanski1,5, Min Ji Bak1, Li Cai2,5, Roman Wernyj1, Davit Sargsyan3, David Cheng3, Renyi Wu3, Hsiao-Chen D. Kuo3, Shanyi N. Li3, Mingzhu Fang4, Hubert Maehr1, Ah-Ng Kong3,5, Nanjoo Suh1,5 1Department of Chemical Biology, Ernest Mario School of Pharmacy; 2Department of Biomedical Engineering, School of Engineering; 3Department of Pharmaceutics, Ernest Mario School of Pharmacy; 4Environmental and Occupational Health Sciences Institute and School of Public Health, 5Rutgers Cancer Institute of New Jersey, New Brunswick; Rutgers, The State University of New Jersey, NJ, USA Running title: Regulation of cancer stemness by vitamin D compounds Key words: Breast cancer, cancer stemness, gene expression, DCIS, vitamin D compounds Financial Support: This research was supported by the National Institutes of Health grant R01 AT007036, R01 AT009152, ES005022, Charles and Johanna Busch Memorial Fund at Rutgers University and the New Jersey Health Foundation. Corresponding author: Dr. Nanjoo Suh, Department of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, 164 Frelinghuysen Road, Piscataway, New Jersey 08854. Tel: 848-445-8030, Fax: 732-445-0687; e-mail: [email protected] Disclosure of Conflict of Interest: “The authors declare no potential conflicts of interest” 1 Downloaded from cancerpreventionresearch.aacrjournals.org on October 1, 2021. -
Comprehensive Analysis Reveals Novel Gene Signature in Head and Neck Squamous Cell Carcinoma: Predicting Is Associated with Poor Prognosis in Patients
5892 Original Article Comprehensive analysis reveals novel gene signature in head and neck squamous cell carcinoma: predicting is associated with poor prognosis in patients Yixin Sun1,2#, Quan Zhang1,2#, Lanlin Yao2#, Shuai Wang3, Zhiming Zhang1,2 1Department of Breast Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; 2School of Medicine, Xiamen University, Xiamen, China; 3State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China Contributions: (I) Conception and design: Y Sun, Q Zhang; (II) Administrative support: Z Zhang; (III) Provision of study materials or patients: Y Sun, Q Zhang; (IV) Collection and assembly of data: Y Sun, L Yao; (V) Data analysis and interpretation: Y Sun, S Wang; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors. #These authors contributed equally to this work. Correspondence to: Zhiming Zhang. Department of Surgery, The First Affiliated Hospital of Xiamen University, Xiamen, China. Email: [email protected]. Background: Head and neck squamous cell carcinoma (HNSC) remains an important public health problem, with classic risk factors being smoking and excessive alcohol consumption and usually has a poor prognosis. Therefore, it is important to explore the underlying mechanisms of tumorigenesis and screen the genes and pathways identified from such studies and their role in pathogenesis. The purpose of this study was to identify genes or signal pathways associated with the development of HNSC. Methods: In this study, we downloaded gene expression profiles of GSE53819 from the Gene Expression Omnibus (GEO) database, including 18 HNSC tissues and 18 normal tissues. -
Job Description and Person Specificationselection Criteria
Job Description NUFFIELD DIVISION OF CLINICAL LABORATORY SCIENCES Job title Postdoctoral Researcher in Functional Genomics Division Medical Sciences Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department Department of Medicine Location John Radcliffe Hospital, Headington, Oxford, OX3 9DU Grade and salary Grade 7: £30,738 - £37,768 per annum Hours Full-time 37.5 hours per week Contract type 36-month fixed-term post Professor David Roberts (Oxford) Reporting to Professor Nicole Soranzo (Wellcome Trust Sanger Institute) Vacancy reference 123679 Funding provided by a the National Institute for Health Research Blood and Transplant Additional information Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge by way of a collaboration between the Universities of Cambridge and Oxford. Elucidating the role of individual genetic variation in determining blood cell traits and iron Research topic metabolism Principal Investigator / Professor David Roberts (NHSBT Oxford) supervisor Professor Nicole Soranzo (Wellcome Trust Sanger Institute – Cambridge University) Professor David Roberts (NHSBT Oxford) Professor Nicole Soranzo (Wellcome Trust Sanger Institute – Cambridge University Project team Dr Dirk Paul (Dept of Public Health and Primary Health, University of Cambridge) Profs Doug Higgs and Jim Hughes (Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford). http://www.ndcls.ox.ac.uk/researchers/researcher/david-roberts http://www.intervalstudy.org.uk/ http://donorhealth-btru.nihr.ac.uk Project web site http://www.phpc.cam.ac.uk/ http://www.nhsbt.nhs.uk/download/strategic_plan_2015_20.pdf https://www.sanger.ac.uk/research/projects/quantitativetraits/ Funding provided by the National Institute for Health Research Blood and Transplant Unit Funding partner (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge by way of a collaboration between the Universities of Cambridge and Oxford.