SMARCA4 Variants Identified by Targeted Exome-Sequencing of 131,668 Cancer Patients
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Statistical Analysis of the Genomic Distribution and Correlation of Regulatory Elements in the ENCODE Regions
Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press Letter Statistical analysis of the genomic distribution and correlation of regulatory elements in the ENCODE regions Zhengdong D. Zhang,1 Alberto Paccanaro,2 Yutao Fu,3 Sherman Weissman,5 Zhiping Weng,3,4 Joseph Chang,6 Michael Snyder,7 and Mark B. Gerstein1,8,9 1Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, USA; 2Department of Computer Science Royal Holloway, University of London, Egham Hill, TW20 0EX, United Kingdom; 3Bioinformatics Program, Boston University, Boston, Massachusetts 02215, USA; 4Biomedical Engineering Department, Boston University, Boston, Massachusetts 02215, USA; 5Department of Genetics, Yale University, New Haven, Connecticut 06510, USA; 6Department of Statistics, Yale University, New Haven, Connecticut 06520, USA; 7Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut 06520, USA; 8Program in Computational Biology and Bioinformatics Yale University, New Haven, Connecticut 06520, USA The comprehensive inventory of functional elements in 44 human genomic regions carried out by the ENCODE Project Consortium enables for the first time a global analysis of the genomic distribution of transcriptional regulatory elements. In this study we developed an intuitive and yet powerful approach to analyze the distribution of regulatory elements found in many different ChIP–chip experiments on a 10∼100-kb scale. First, we focus on the overall chromosomal distribution of regulatory elements in the ENCODE regions and show that it is highly nonuniform. We demonstrate, in fact, that regulatory elements are associated with the location of known genes. Further examination on a local, single-gene scale shows an enrichment of regulatory elements near both transcription start and end sites. -
Sorbonne Université/China Scholarship Council Program 2021
Sorbonne Université/China Scholarship Council program 2021 Thesis proposal Title of the research project: Hnf1b regulation during kidney development and regeneration Joint supervision: no Joint PhD (cotutelle): no Thesis supervisor: … Muriel Umbhauer. Email address of the thesis supervisor: [email protected] Institution: …… Sorbonne Université …. Doctoral school (N°+name): ED …. …… ED 515 Complexité du Vivant Research laboratory: UMR7622 CNRS Laboratory of developmental biology Name of the laboratory director: … Sylvie Schneider-Maunoury Email address of the laboratory director: [email protected] Subject description (2 pages max): 1) Study context The POU homeodomain transcription factor hepatocyte nuclear factor 1β (Hnf1b) plays an essential role in vertebrate kidney development. Heterozygous mutations in human HNF1B cause the complex multisystem syndrome known as Renal Cysts And Diabetes (RCAD). The most prominent clinical features of this autosomal dominant disorder are non-diabetic renal disease resulting from abnormal renal development and diabetes mellitus (reviewed by Clissold RL et al., 2015). During early mouse kidney development, Hnf1b has been shown to be required for ureteric bud branching and initiation of nephrogenesis (Lokmane et al., 2010). Hnf1b conditional inactivation in murine nephron progenitors has revealed an additional role in segment fate Xenopus is a well established and attractive model to study kidney development (Krneta-Stankic V. et al, 2017). Renal function at larval stages relies on two pronephroi located on both sides of the body, each consisting on one giant nephron displaying the same structural and functional organisation than the mammalian nephron. Moreover, pronephric and metanephric differentiation and morphogenesis share most of the signalling cascades and gene regulatory networks. -
ACTL6A Promotes the Proliferation of Esophageal Squamous Cell Carcinoma Cells and Correlates with Poor Clinical Outcomes
OncoTargets and Therapy Dovepress open access to scientific and medical research Open Access Full Text Article ORIGINAL RESEARCH ACTL6A Promotes the Proliferation of Esophageal Squamous Cell Carcinoma Cells and Correlates with Poor Clinical Outcomes This article was published in the following Dove Press journal: OncoTargets and Therapy Rui-zhe Li1 Background: ACTL6A, a regulatory subunit of ATP-dependent chromatin-remodeling Yun-yun Li1,2 complexes SWI/SNF, has been identified as a central oncogenic driver in many tumor types. Hui Qin1 Materials and Methods: We used immunohistochemistry (IHC) to detect ACTL6A Shan-shan Li1 expression in esophageal squamous cell carcinoma (ESCC) tissues. Then, the effect of ACTL6A on proliferation and DNA synthesis was explored by using cell counting kit 8 1 Department of Pathology, School of (CCK8) and EdU retention assays. The potential oncogenic mechanism of ACTL6A in Basic Medical Sciences, Zhengzhou University and First Affiliated Hospital of ESCC cells was also analyzed by flow cytometry and Western blotting. We further estab Zhengzhou University, Zhengzhou, lished an ESCC xenograft mouse model to validate the in vitro results. Henan 450000, People’s Republic of China; 2Department of Stomatology, First Results: ACTL6A expression, localized in cancer cell nuclei, was markedly higher in ESCC Affiliated Hospital of Zhengzhou tissues than in the corresponding noncancerous tissues (P<0.001) and was positively asso University, Zhengzhou, Henan 450000, ciated with tumor size, histological differentiation, T stage and tumor-node-metastasis People’s Republic of China (TNM) stage. Kaplan–Meier analysis revealed that high ACTL6A expression was signifi cantly associated with poor overall survival (OS) (P = 0.008, HR= 2.562, 95% CI: 1.241– 5.289), and decision curve analysis (DCA) demonstrated that ACTL6A could increase the clinical prognostic efficiency of the original clinical prediction model. -
Overlap of Vitamin a and Vitamin D Target Genes with CAKUT- Related Processes [Version 1; Peer Review: 1 Approved with Reservations]
F1000Research 2021, 10:395 Last updated: 21 JUL 2021 BRIEF REPORT Overlap of vitamin A and vitamin D target genes with CAKUT- related processes [version 1; peer review: 1 approved with reservations] Ozan Ozisik1, Friederike Ehrhart 2,3, Chris T Evelo 2, Alberto Mantovani4, Anaı̈s Baudot 1,5 1Aix Marseille University, Inserm, MMG, Marseille, 13385, France 2Department of Bioinformatics - BiGCaT, Maastricht University, Maastricht, 6200 MD, The Netherlands 3Department of Bioinformatics, NUTRIM/MHeNs, Maastricht University, Maastricht, 6200 MD, The Netherlands 4Istituto Superiore di Sanità, Rome, 00161, Italy 5Barcelona Supercomputing Center (BSC), Barcelona, 08034, Spain v1 First published: 18 May 2021, 10:395 Open Peer Review https://doi.org/10.12688/f1000research.51018.1 Latest published: 18 May 2021, 10:395 https://doi.org/10.12688/f1000research.51018.1 Reviewer Status Invited Reviewers Abstract Congenital Anomalies of the Kidney and Urinary Tract (CAKUT) are a 1 group of abnormalities affecting the kidneys and their outflow tracts, which include the ureters, the bladder, and the urethra. CAKUT version 1 patients display a large clinical variability as well as a complex 18 May 2021 report aetiology, as only 5% to 20% of the cases have a monogenic origin. It is thereby suspected that interactions of both genetic and 1. Elena Menegola, Università degli Studi di environmental factors contribute to the disease. Vitamins are among the environmental factors that are considered for CAKUT aetiology. In Milano, Milan, Italy this study, we collected vitamin A and vitamin D target genes and Any reports and responses or comments on the computed their overlap with CAKUT-related gene sets. -
Mediator of DNA Damage Checkpoint 1 (MDC1) Is a Novel Estrogen Receptor Co-Regulator in Invasive 6 Lobular Carcinoma of the Breast 7 8 Evelyn K
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.16.423142; this version posted December 16, 2020. 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 4.0 International license. 1 Running Title: MDC1 co-regulates ER in ILC 2 3 Research article 4 5 Mediator of DNA damage checkpoint 1 (MDC1) is a novel estrogen receptor co-regulator in invasive 6 lobular carcinoma of the breast 7 8 Evelyn K. Bordeaux1+, Joseph L. Sottnik1+, Sanjana Mehrotra1, Sarah E. Ferrara2, Andrew E. Goodspeed2,3, James 9 C. Costello2,3, Matthew J. Sikora1 10 11 +EKB and JLS contributed equally to this project. 12 13 Affiliations 14 1Dept. of Pathology, University of Colorado Anschutz Medical Campus 15 2Biostatistics and Bioinformatics Shared Resource, University of Colorado Comprehensive Cancer Center 16 3Dept. of Pharmacology, University of Colorado Anschutz Medical Campus 17 18 Corresponding author 19 Matthew J. Sikora, PhD.; Mail Stop 8104, Research Complex 1 South, Room 5117, 12801 E. 17th Ave.; Aurora, 20 CO 80045. Tel: (303)724-4301; Fax: (303)724-3712; email: [email protected]. Twitter: 21 @mjsikora 22 23 Authors' contributions 24 MJS conceived of the project. MJS, EKB, and JLS designed and performed experiments. JLS developed models 25 for the project. EKB, JLS, SM, and AEG contributed to data analysis and interpretation. SEF, AEG, and JCC 26 developed and performed informatics analyses. MJS wrote the draft manuscript; all authors read and revised the 27 manuscript and have read and approved of this version of the manuscript. -
Genome-Wide CRISPR Screening Identifies BRD9 As a Druggable Component Of
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.04.429732; this version posted February 4, 2021. 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 4.0 International license. 1 Genome-Wide CRISPR Screening Identifies BRD9 as a Druggable Component of 2 Interferon-Stimulated Gene Expression and Antiviral Activity 3 Jacob Börolda,b,†, Davide Elettoa,†,#, Idoia Busnadiegoa, Nina K. Maira,b, Eva Moritza, 4 Samira Schiefera,b, Nora Schmidta,$, Philipp P. Petricc,d, W. Wei-Lynn Wonge, Martin 5 Schwemmlec & Benjamin G. Halea,* 6 7 aInstitute of Medical Virology, University of Zurich, Zurich, Switzerland. 8 bLife Science Zurich Graduate School, ETH and University of Zurich, Zurich, 9 Switzerland. 10 cInstitute of Virology, Freiburg University Medical Center, Faculty of Medicine, University 11 of Freiburg, Freiburg, Germany. 12 dSpemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg, 13 Germany. 14 eInstitute of Experimental Immunology, University of Zurich, Zurich, Switzerland. 15 *Correspondence: Benjamin G. Hale, [email protected] 16 †Equal first authors listed in alphabetical order. 17 #Present address: Department of Biosystems Science and Engineering, ETH Zurich, 18 Basel, Switzerland. 19 $Present address: Helmholtz Institute for RNA-based Infection Research, Helmholtz- 20 Center for Infection Research, Wurzburg, Germany. 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.02.04.429732; this version posted February 4, 2021. 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. -
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. -
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. -
Autism Ontario Genetics Webinar EN.Pdf
Autism Ontario Genetics Webinar Thursday October 29, 2020 12:00 – 1:00 pm Panelist Stephen Scherer, PhD - Scientist Ny Hoang, MS, CGC – Genetic Counsellor Ryan Yuen, PhD - Scientist Evdokia Anagnostou, MD - Child Neurologist Autism Spectrum Disorders weak genetic factor Complex Multifactorial Condition strong genetic factor environmental factors Genetic contribution is highly variable Strong genetic Moderate genetic Weaker genetic factor factor factor Examples of genetic factors: SHANK3, NRXN1, CHD8, ARID1B, 16p13.11, 22q11 Genetic contribution is a biological difference chromosome Cell DNA sequence Protein Genetic contribution is a biological difference chromosome Cell DNA sequence genetic variant Protein not working Protein Protein not working DNA sequence genetic variant Deletions & Duplications Single Nucleotide Variations 1q21.1 deletions/ duplications CHD8, ARID1B, SCN2A, SYNGAP1, 16p13.11 deletions/ duplications SHANK3, ANK2, GRIN2B, CHD2 NRXN3, ASTN2, MBD5, PTCHD1 DNA sequence genetic variant Repeat Expansions Example: Fragile X syndrome (FMR1) CGGCGGCGGCGGCGG Normal repeat size: 5-40 CGGCGGCGGCGGCGGCGGCGGCGGCGG Syndrome repeat size: >200 DNA sequence genetic variant Repeat Expansions Fragile X syndrome (FMR1), repeat >200 • Disorders linked to well- CGG defined repeat pattern (motif) Friedreich Ataxia (FXN), repeat >100 • Only one pattern per disorder GAA • Myotonic dystrophy Type 1 (DMPK), repeat >50 Normal repeat size range CTG known Huntington’s Disease (HTT), repeat >35 CAG Spinocerebellar Ataxia Type 10 (ATXN10), repeat >800 -
C/EBP Creates Elite Cells for Ipsc Reprogramming by Upregulating
ARTICLES C/EBPα creates elite cells for iPSC reprogramming by upregulating Klf4 and increasing the levels of Lsd1 and Brd4 Bruno Di Stefano1,2,8,9,10, Samuel Collombet3,8, Janus Schou Jakobsen4,5,6,8, Michael Wierer7, Jose Luis Sardina1,2, Andreas Lackner1,2,9, Ralph Stadhouders1,2, Carolina Segura-Morales1,2, Mirko Francesconi1,2, Francesco Limone1,2, Matthias Mann7, Bo Porse4,5,6, Denis Thieffry3 and Thomas Graf1,2,10 Reprogramming somatic cells into induced pluripotent stem cells (iPSCs) is typically inefficient and has been explained by elite-cell and stochastic models. We recently reported that B cells exposed to a pulse of C/EBPα (Bα0 cells) behave as elite cells, in that they can be rapidly and efficiently reprogrammed into iPSCs by the Yamanaka factors OSKM. Here we show that C/EBPα post-transcriptionally increases the abundance of several hundred proteins, including Lsd1, Hdac1, Brd4, Med1 and Cdk9, components of chromatin-modifying complexes present at super-enhancers. Lsd1 was found to be required for B cell gene silencing and Brd4 for the activation of the pluripotency program. C/EBPα also promotes chromatin accessibility in pluripotent cells and upregulates Klf4 by binding to two haematopoietic enhancers. Bα0 cells share many properties with granulocyte/macrophage progenitors, naturally occurring elite cells that are obligate targets for leukaemic transformation, whose formation strictly requires C/EBPα. The ability to reprogram somatic into pluripotent cells has revolu- complex process, where multiple players synergistically establish new tionized stem cell research with major implications for almost all transcriptional networks and remove epigenetic barriers14. Among the fields of modern biology. -
The Impact of Chromosomal Translocation Locus and Fusion Oncogene Coding Sequence in Synovial Sarcomagenesis
Oncogene (2016) 35, 5021–5032 © 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved 0950-9232/16 www.nature.com/onc ORIGINAL ARTICLE The impact of chromosomal translocation locus and fusion oncogene coding sequence in synovial sarcomagenesis KB Jones1,2,3, JJ Barrott1,2,3, M Xie4, M Haldar5, H Jin1,2,3, J-F Zhu1,2,3, MJ Monument1,3, TL Mosbruger3,6, EM Langer5, RL Randall1,3, RK Wilson4,7,8,9, BR Cairns2,3,10, L Ding4,7,8,9 and MR Capecchi5 Synovial sarcomas are aggressive soft-tissue malignancies that express chromosomal translocation-generated fusion genes, SS18-SSX1 or SS18-SSX2 in most cases. Here, we report a mouse sarcoma model expressing SS18-SSX1, complementing our prior model expressing SS18-SSX2. Exome sequencing identified no recurrent secondary mutations in tumors of either genotype. Most of the few mutations identified in single tumors were present in genes that were minimally or not expressed in any of the tumors. Chromosome 6, either entirely or around the fusion gene expression locus, demonstrated a copy number gain in a majority of tumors of both genotypes. Thus, by fusion oncogene coding sequence alone, SS18-SSX1 and SS18-SSX2 can each drive comparable synovial sarcomagenesis, independent from other genetic drivers. SS18-SSX1 and SS18-SSX2 tumor transcriptomes demonstrated very few consistent differences overall. In direct tumorigenesis comparisons, SS18-SSX2 was slightly more sarcomagenic than SS18-SSX1, but equivalent in its generation of biphasic histologic features. Meta-analysis of human synovial sarcoma patient series identified two tumor–gentoype–phenotype correlations that were not modeled by the mice, namely a scarcity of male hosts and biphasic histologic features among SS18-SSX2 tumors. -
Sox2-RNA Mechanisms of Chromosome Topological Control in Developing Forebrain
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.22.307215; this version posted September 22, 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. Title: Sox2-RNA mechanisms of chromosome topological control in developing forebrain Ivelisse Cajigas1, Abhijit Chakraborty2, Madison Lynam1, Kelsey R Swyter1, Monique Bastidas1, Linden Collens1, Hao Luo1, Ferhat Ay2,3, Jhumku D. Kohtz1,4 1Department of Pediatrics, Northwestern University, Feinberg School of Medicine, Department of Human Molecular Genetics, Stanley Manne Children's Research Institute 2430 N Halsted, Chicago, IL 60614 2Centers for Autoimmunity and Cancer Immunotherapy, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA 3School of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA 4To whom correspondence should be addressed: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.22.307215; this version posted September 22, 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. Summary Precise regulation of gene expression networks requires the selective targeting of DNA enhancers. The Evf2 long non-coding RNA regulates Dlx5/6 ultraconserved enhancer(UCE) interactions with long-range target genes, controlling gene expression over a 27Mb region in mouse developing forebrain. Here, we show that Evf2 long range gene repression occurs through multi-step mechanisms involving the transcription factor Sox2, a component of the Evf2 ribonucleoprotein complex (RNP).