Exome Sequencing Identifies Frequent Mutation of the SWI/SNF Complex Gene PBRM1 in Renal Carcinoma
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Modeling Renal Cell Carcinoma in Mice: Bap1 and Pbrm1 Inactivation Drive Tumor Grade
Published OnlineFirst May 4, 2017; DOI: 10.1158/2159-8290.CD-17-0292 RESEARCH ARTICLE Modeling Renal Cell Carcinoma in Mice: Bap1 and Pbrm1 Inactivation Drive Tumor Grade Yi-Feng Gu1,2, Shannon Cohn1,2, Alana Christie2, Tiffani McKenzie2,3, Nicholas Wolff1,2, Quyen N. Do4, Ananth J. Madhuranthakam4, Ivan Pedrosa2,4, Tao Wang2,5, Anwesha Dey6, Meinrad Busslinger7, Xian-Jin Xie2,8, Robert E. Hammer9, Renée M. McKay1,2, Payal Kapur2,3, and James Brugarolas1,2 Downloaded from cancerdiscovery.aacrjournals.org on September 26, 2021. © 2017 American Association for Cancer Research. 17-CD-17-0292_p900-917.indd 900 7/20/17 10:05 AM Published OnlineFirst May 4, 2017; DOI: 10.1158/2159-8290.CD-17-0292 ABSTRACT Clear cell renal cell carcinoma (ccRCC) is characterized by BAP1 and PBRM1 muta- tions, which are associated with tumors of different grade and prognosis. However, whether BAP1 and PBRM1 loss causes ccRCC and determines tumor grade is unclear. We conditionally targeted Bap1 and Pbrm1 (with Vhl ) in the mouse using several Cre drivers. Sglt2 and Villin proximal convoluted tubule drivers failed to cause tumorigenesis, challenging the conventional notion of ccRCC origins. In contrast, targeting with PAX8, a transcription factor frequently overexpressed in ccRCC, led to ccRCC of different grades. Bap1 -defi cient tumors were of high grade and showed greater mTORC1 activation than Pbrm1 -defi cient tumors, which exhibited longer latency. Disrupting one allele of the mTORC1 negative regulator, Tsc1 , in Pbrm1 -defi cient kidneys triggered higher grade ccRCC. This study establishes Bap1 and Pbrm1 as lineage-specifi c drivers of ccRCC and histologic grade, implicates mTORC1 as a tumor grade rheostat, and suggests that ccRCCs arise from Bowman capsule cells. -
C. Elegans Whole Genome Sequencing Reveals Mutational Signatures Related to Carcinogens and DNA Repair Deficiency
Downloaded from genome.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press C. elegans whole genome sequencing reveals mutational signatures related to carcinogens and DNA repair deficiency Authors: Bettina Meier * (1); Susanna L Cooke * (2); Joerg Weiss (1); Aymeric P Bailly (1,3); Ludmil B Alexandrov (2); John Marshall (2); Keiran Raine (2); Mark Maddison (2); Elizabeth Anderson (2); Michael R Stratton (2); Anton Gartner * (1); Peter J Campbell * (2,4,5). * These authors contributed equally to this project. Institutions: (1) Centre for Gene Regulation and Expression, University of Dundee, Dundee, UK. (2) Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK. (3) CRBM/CNRS UMR5237, University of Montpellier, Montpellier, France. (4) Department of Haematology, University of Cambridge, Cambridge, UK. (5) Department of Haematology, Addenbrooke’s Hospital, Cambridge, UK. Address for correspondence: Dr Peter J Campbell, Dr Anton Gartner, Cancer Genome Project, Centre for Gene Regulation and Expression, Wellcome Trust Sanger Institute, The University of Dundee, Hinxton CB10 1SA, Dow Street, Cambridgeshire, Dundee DD1 5EH UK. UK. Tel: +44 (0) 1223 494745 Phone: +44 (0) 1382 385809 Fax: +44 (0) 1223 494809 E-mail: [email protected] E-mail: [email protected] Running title: mutation profiling in C. elegans Keywords: mutation pattern, genetic and environmental factors, C. elegans, cisplatin, aflatoxin B1, whole-genome sequencing. Downloaded from genome.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Mutation is associated with developmental and hereditary disorders, ageing and cancer. While we understand some mutational processes operative in human disease, most remain mysterious. -
1 Canonical BAF Complex in Regulatory T Cells 2 3 Chin
bioRxiv preprint doi: https://doi.org/10.1101/2020.02.26.964981; this version posted February 27, 2020. 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. 1 A genome-wide CRISPR screen reveals a role for the BRD9-containing non- 2 canonical BAF complex in regulatory T cells 3 4 Chin-San Loo1,3,#, Jovylyn Gatchalian2,#, Yuqiong Liang1, Mathias Leblanc1, Mingjun 5 Xie1, Josephine Ho2, Bhargav Venkatraghavan1, Diana C. Hargreaves2*, and Ye 6 Zheng1* 7 8 1. NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute for 9 Biological Studies 10 2. Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies 11 3. Division of Biological Sciences, University of California, San Diego 12 # Co-first authors 13 * Co-corresponding authors 14 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.02.26.964981; this version posted February 27, 2020. 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. 15 Summary 16 Regulatory T cells (Tregs) play a pivotal role in suppressing auto-reactive T cells 17 and maintaining immune homeostasis. Treg development and function are 18 dependent on the transcription factor Foxp3. Here we performed a genome-wide 19 CRISPR/Cas9 knockout screen to identify the regulators of Foxp3 in mouse 20 primary Tregs. The results showed that Foxp3 regulators are highly enriched in 21 genes encoding SWI/SNF and SAGA complex subunits. Among the three 22 SWI/SNF-related complexes, the non-canonical or ncBAF (also called GBAF or 23 BRD9-containing BAF) complex promoted the expression of Foxp3, whereas the 24 PBAF complex repressed its expression. -
Abstracts In
ECCB 2014 Accepted Posters with Abstracts G: Bioinformatics of health and disease G01: Emile Rugamika Chimusa, Jacquiline Wangui Mugo and Nicola Mulder. Leveraging ancestry along the genome of admixed individuals to resolve missing heritability in disease scoring statistics Abstract: Human genetics has been haunted by the mystery of “missing heritability” of common traits. Although studies have discovered several variants associated with common diseases and traits, these variants typically appear to explain only a minority of the heritability. Resolving missing heritability, the difference between phenotypic variance explained by associated SNPs and estimates of narrow-sense heritability (h2), will inform strategies for disease mapping and prediction of complex traits. Among biased estimates of h2 due to epistatic interactions and rare variants not captured by genotyping arrays have been cited to be the most can be the most explanations for missing heritability. Here, we present an approach for estimating heritability of traits based on sharing local ancestry segments between pairs of unrelated individuals in an admixed population. From simulation data and real data, we demonstrated that our approach outperformed current approaches for estimating heritability of traits and holds values in admixture mapping for deconvoluting genes underlying ethnic differences in complex diseases risk. G02: Sylvain Mareschal, Pierre-Julien Viailly, Philippe Bertrand, Fabienne Desmots-Loyer, Elodie Bohers, Catherine Maingonnat, Karen Leroy, Thierry Fest and Fabrice Jardin. Next- Generation Sequencing applied to tailor targeted therapies in lymphoma: the RELYSE project Abstract: Non-Hodgkin Lymphomas (NHL) are lymphoid cell malignancies accounting for about 4% of all cancers, with an incidence rate of 12 cases per 100,000 and per year in Europe. -
Swi/Snf Chromatin Remodeling/Tumor Suppressor Complex Establishes Nucleosome Occupancy at Target Promoters
Swi/Snf chromatin remodeling/tumor suppressor complex establishes nucleosome occupancy at target promoters Michael Y. Tolstorukova,b,1,2, Courtney G. Sansamc,d,e,1, Ping Luc,d,e,1, Edward C. Koellhofferc,d,e, Katherine C. Helmingc,d,e, Burak H. Alvera, Erik J. Tillmanc,d,e, Julia A. Evansc,d,e, Boris G. Wilsonc,d,e, Peter J. Parka,b,3, and Charles W. M. Robertsc,d,e,3 aCenter for Biomedical Informatics, Harvard Medical School, Boston, MA 02115; bDivision of Genetics, Brigham and Women’s Hospital, Boston, MA 02115; cDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA 02115; dDivision of Hematology/Oncology, Boston Children’s Hospital, Boston, MA 02115; and eDepartment of Pediatrics, Harvard Medical School, Boston, MA 02115 Edited by Mark Groudine, Fred Hutchinson Cancer Research Center, Seattle, WA, and approved May 2, 2013 (received for review February 6, 2013) Precise nucleosome-positioning patterns at promoters are thought Brg1 haploinsufficient mice are tumor prone, establishing these to be crucial for faithful transcriptional regulation. However, the subunits of the complex as bona fide tumor suppressors (1, 12–17). mechanisms by which these patterns are established, are dynam- It is noteworthy that recent exome sequencing of 35 human SNF5- ically maintained, and subsequently contribute to transcriptional deficient rhabdoid tumors identified a remarkably low rate of control are poorly understood. The switch/sucrose non-fermentable mutations, with loss of SNF5 being essentially the sole recurrent event (18). Indeed, in two of the cancers, there were no other chromatin remodeling complex, also known as the Brg1 associated fi factors complex, is a master developmental regulator and tumor identi ed mutations. -
Human Genetics: International Projects and Personalized Medicine
Drug Metabol Pers Ther 2016; 31(1): 3–8 Mini Review Maria Apellaniz-Ruiza, Cristina Gallegoa, Sara Ruiz-Pintoa, Angel Carracedo and Cristina Rodríguez-Antona* Human genetics: international projects and personalized medicine DOI 10.1515/dmpt-2015-0032 Received August 31, 2015; accepted October 19, 2015; previously Introduction published online November 18, 2015 Genetic variation databases describe naturally occur- Abstract: In this article, we present the progress driven ring genetic differences among individuals of the same by the recent technological advances and new revolu- species. This variation, accounting for 0.1% of our DNA tionary massive sequencing technologies in the field of [1], permits the flexibility and survival of a population human genetics. We discuss this knowledge in relation in the face of changing environmental circumstances, with drug response prediction, from the germline genetic but it also influences how people differ in their risk of variation compiled in the 1000 Genomes Project or in the disease or their response to drugs. It is well known that Genotype-Tissue Expression project, to the phenome- variability in response to drug therapy is the rule rather genome archives, the international cancer projects, such than the exception for most drugs, and these differences as The Cancer Genome Atlas or the International Cancer are among the major challenges in current clinical prac- Genome Consortium, and the epigenetic variation and its tice, drug development, and drug regulation [2, 3]. Thus, influence in gene expression, including the regulation of rather than accepting the “one drug fits all” approach, drug metabolism. This review is based on the lectures pre- researchers envision that drugs need to be tailored to fit sented by the speakers of the Symposium “Human Genet- the profile of each individual patient. -
Inactivation of the PBRM1 Tumor Suppressor Gene Amplifies
Inactivation of the PBRM1 tumor suppressor gene − − amplifies the HIF-response in VHL / clear cell renal carcinoma Wenhua Gaoa, Wei Lib,c, Tengfei Xiaoa,b,c, Xiaole Shirley Liub,c, and William G. Kaelin Jr.a,d,1 aDepartment of Medical Oncology, Dana-Farber Cancer Institute and Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115; bCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215; cDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA 02115; and dHoward Hughes Medical Institute, Chevy Chase, MD 20815 Contributed by William G. Kaelin, Jr., December 1, 2016 (sent for review October 31, 2016; reviewed by Charles W. M. Roberts and Ali Shilatifard) Most clear cell renal carcinomas (ccRCCs) are initiated by somatic monolayer culture and in soft agar (10). These effects were not, inactivation of the VHL tumor suppressor gene. The VHL gene prod- however, proven to be on-target, and were not interrogated in uct, pVHL, is the substrate recognition unit of an ubiquitin ligase vivo. As a step toward understanding the role of BAF180 in that targets the HIF transcription factor for proteasomal degrada- ccRCC, we asked whether BAF180 participates in the canonical tion; inappropriate expression of HIF target genes drives renal car- PBAF complex in ccRCC cell lines and whether loss of BAF180 cinogenesis. Loss of pVHL is not sufficient, however, to cause ccRCC. measurably alters ccRCC behavior in cell culture and in mice. Additional cooperating genetic events, including intragenic muta- tions and copy number alterations, are required. -
Strategic Plan 2011-2016
Strategic Plan 2011-2016 Wellcome Trust Sanger Institute Strategic Plan 2011-2016 Mission The Wellcome Trust Sanger Institute uses genome sequences to advance understanding of the biology of humans and pathogens in order to improve human health. -i- Wellcome Trust Sanger Institute Strategic Plan 2011-2016 - ii - Wellcome Trust Sanger Institute Strategic Plan 2011-2016 CONTENTS Foreword ....................................................................................................................................1 Overview .....................................................................................................................................2 1. History and philosophy ............................................................................................................ 5 2. Organisation of the science ..................................................................................................... 5 3. Developments in the scientific portfolio ................................................................................... 7 4. Summary of the Scientific Programmes 2011 – 2016 .............................................................. 8 4.1 Cancer Genetics and Genomics ................................................................................ 8 4.2 Human Genetics ...................................................................................................... 10 4.3 Pathogen Variation .................................................................................................. 13 4.4 Malaria -
Epidyne®-FRET for Nucleosome Remodeling Assays
Nucleosome Remodeling Assay by EpiDyne®-FRET EpiDyne®-FRET allows unprecedented access to disease-relevant ATP-dependent chromatin remodeling complexes FIGURE 3 SMARCA 2 SMARCA 4 EpiDyne®-FRET nucleosomes (20 nM) were incubated with Figure 3A Figure 3B chromatin remodeling enzyme (Panel 3A, SMARCA2; panel 3B, SMARCA4) at the indicated concentration in 4.0 3.5 the presence of ATP (2 mM). 3.5 Upon ATP addition, reactions 3.0 were immediately read in 3.0 an Envision Multi-label plate 2.5 reader. Data are presented as 2.5 the mean of the Cy3-Cy5 ratio 2.0 (N=2). 2.0 1.5 Cy3/Cy5 Ratio Cy3/Cy5 1.5 Ratio Cy3/Cy5 1.0 1.0 0 1 2 3 4 5 6 7 8 9 10 0 10 20 30 40 Time, Min Time, Min nM Enzyme nM Enzyme 28 14 7 3.5 0.0 12.50 6.25 3.13 1.56 0 ORDERING INFO Chromatin Remodeling Substrate, Fluorescent Readout Enzymes EpiDyne®-FRET Nucleosome Remodeling Assay Substrate SMARCA2 Chromatin Remodeling Enzyme Catalog No. 16-4201 (Human BRM) Pack Size: 50 μg Catalog No. 15-1015 Pack Size: 100 remodeling rxns Chromatin Remodeling Substrates, Non-Fluorescent Readout SMARCA4 Chromatin Remodeling Enzyme (Human BRG1) ST601-GATC1 ST601-GATC1, 50-N-66, Biotinylated Catalog No. 15-1014 Cat. No. 16-4101 Cat. No.: 16-4114 Pack Size: 100 remodeling rxns Pack Size: 50 μg Pack Size: 50 μg ACF Chromatin Remodeling Enzyme Complex ST601-GATC1, Biotinylated ST601-GATC1,2, 50-N-66, Biotinylated Catalog No. 15-1013 Cat. -
Germline Determinants of the Somatic Mutation Landscape in 2,642 Cancer Genomes
bioRxiv preprint doi: https://doi.org/10.1101/208330; this version posted November 1, 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. Germline determinants of the somatic mutation landscape in 2,642 cancer genomes Sebastian M Waszak1*, Grace Tiao2*, Bin Zhu3*, Tobias Rausch1*, Francesc Muyas4,5#, Bernardo Rodríguez-Martín6,7#, Raquel Rabionet4#, Sergei Yakneen1#, Georgia Escaramis4,8, Yilong Li9, Natalie Saini10, Steven A Roberts11, German M Demidov4,5, Esa Pitkänen1; Olivier Delaneau12-14, Jose Maria Heredia-Genestar15, Joachim Weischenfeldt1,16, Suyash S Shringarpure17, Jieming Chen18; Hidewaki Nakagawa19, Ludmil B Alexandrov20, Oliver Drechsel4,5, L Jonathan Dursi21, Ayellet V Segre2, Erik Garrison9, Serap Erkek1, Nina Habermann1, Lara Urban22, Ekta Khurana23, Andy Cafferkey22, Shuto Hayashi24, Seiya Imoto25, Lauri A Aaltonen26, Eva G Alvarez6,7, Adrian Baez-Ortega27, Matthew Bailey33, Mattia Bosio4,5, Alicia L Bruzos6,7, Ivo Buchhalter28, Carlos D. Bustamante29, Claudia Calabrese22, Anthony DiBiase30, Mark Gerstein31-33, Aliaksei Z Holik4,5, Xing Hua3, Kuan-lin Huang34, Ivica Letunic35, Leszek J Klimczak36, Roelof Koster3, Sushant Kumar31, Mike McLellan34, Jay Mashl34, Lisa Mirabello3, Steven Newhouse22, Aparna Prasad4,5, Gunnar Rätsch37, Matthias Schlesner28, Roland Schwarz38, Pramod Sharma30, Tal Shmaya17, Nikos Sidiropoulos16, Lei Song3, -
Executive Summary Toward a Comprehensive Genomic Analysis
National Cancer Institute and National Human Genome Research Institute National Institutes of Health U.S. Department of Health and Human Services Executive Summary Toward a Comprehensive Genomic Analysis of Cancer Convened by: Andrew von Eschenbach, M.D., Director, National Cancer Institute Francis Collins, M.D., Ph.D., Director, National Human Genome Research Institute July 20-22, 2005 The Ritz-Carlton Washington, DC Workshop Executive Summary Purpose of the Workshop “Toward a Comprehensive Genomic Analysis of Cancer” was co-organized by the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI) as part of their collaboration to implement the recommendation of the National Cancer Advisory Board’s Working Group on Biomedical Technology to initiate a pilot phase of the Human Cancer Genome Project (HCGP). The long-term goal of the HCGP is to develop a comprehensive catalog of the genomic changes that occur in tumors and obtain an in-depth understanding about the relation of these changes to the biological processes in cancer. Such a complete information set will potentially revolutionize the cancer research community’s strategies to develop and implement major new approaches to prevent, detect, diagnose, and treat cancer, through much more efficient clinical trials and accelerated introduction of more effective therapies. The workshop explored critical issues in cancer biology, genomic technologies, bioinformatics, and the bioethical, consent, and legal issues that must be factored into the design and implementation of a two- phase approach to an HCGP, starting with a focused pilot program. The aim of the pilot phase is to demonstrate that comprehensive characterization of a tumor type1, when analyzed in conjunction with carefully obtained, deep biological information about the tumor type, will facilitate the development of clinically meaningful applications in a way that has previously been unavailable to cancer researchers. -
Human Genetics 1990–2009
Portfolio Review Human Genetics 1990–2009 June 2010 Acknowledgements The Wellcome Trust would like to thank the many people who generously gave up their time to participate in this review. The project was led by Liz Allen, Michael Dunn and Claire Vaughan. Key input and support was provided by Dave Carr, Kevin Dolby, Audrey Duncanson, Katherine Littler, Suzi Morris, Annie Sanderson and Jo Scott (landscaping analysis), and Lois Reynolds and Tilli Tansey (Wellcome Trust Expert Group). We also would like to thank David Lynn for his ongoing support to the review. The views expressed in this report are those of the Wellcome Trust project team – drawing on the evidence compiled during the review. We are indebted to the independent Expert Group, who were pivotal in providing the assessments of the Wellcome Trust’s role in supporting human genetics and have informed ‘our’ speculations for the future. Finally, we would like to thank Professor Francis Collins, who provided valuable input to the development of the timelines. The Wellcome Trust is a charity registered in England and Wales, no. 210183. Contents Acknowledgements 2 Overview and key findings 4 Landmarks in human genetics 6 1. Introduction and background 8 2. Human genetics research: the global research landscape 9 2.1 Human genetics publication output: 1989–2008 10 3. Looking back: the Wellcome Trust and human genetics 14 3.1 Building research capacity and infrastructure 14 3.1.1 Wellcome Trust Sanger Institute (WTSI) 15 3.1.2 Wellcome Trust Centre for Human Genetics 15 3.1.3 Collaborations, consortia and partnerships 16 3.1.4 Research resources and data 16 3.2 Advancing knowledge and making discoveries 17 3.3 Advancing knowledge and making discoveries: within the field of human genetics 18 3.4 Advancing knowledge and making discoveries: beyond the field of human genetics – ‘ripple’ effects 19 Case studies 22 4.