Structure and Function of Mammalian SWI/SNF Chromatin Remodeling
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Hippo/YAP Signaling Pathway: a Promising Therapeutic Target In
Hippo/YAP Signaling Pathway: A Promising Therapeutic Target in Bone Paediatric Cancers? Sarah Morice, Geoffroy Danieau, Françoise Rédini, Bénédicte Brounais-Le-Royer, Franck Verrecchia To cite this version: Sarah Morice, Geoffroy Danieau, Françoise Rédini, Bénédicte Brounais-Le-Royer, Franck Verrecchia. Hippo/YAP Signaling Pathway: A Promising Therapeutic Target in Bone Paediatric Cancers?. Can- cers, MDPI, 2020, 12 (3), pp.645. 10.3390/cancers12030645. inserm-03004096 HAL Id: inserm-03004096 https://www.hal.inserm.fr/inserm-03004096 Submitted on 13 Nov 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. cancers Review Hippo/YAP Signaling Pathway: A Promising Therapeutic Target in Bone Paediatric Cancers? Sarah Morice, Geoffroy Danieau, Françoise Rédini, Bénédicte Brounais-Le-Royer and Franck Verrecchia * INSERM, UMR1238, Bone Sarcoma and Remodeling of Calcified Tissues, Nantes University, 44035 Nantes, France; [email protected] (S.M.); geoff[email protected] (G.D.); [email protected] (F.R.); [email protected] (B.B.-L.-R.) * Correspondence: [email protected]; Tel.: +33-244769116 Received: 4 February 2020; Accepted: 7 March 2020; Published: 10 March 2020 Abstract: Osteosarcoma and Ewing sarcoma are the most prevalent bone pediatric tumors. -
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. -
Integrase Interactor 1 (INI-1) Deficient Renal Cell Carcinoma
Open Access Case Report DOI: 10.7759/cureus.13082 Integrase Interactor 1 (INI-1) Deficient Renal Cell Carcinoma Manpreet Singh 1 , Harkirat Singh 1 , Benjamin Hambro 1 , Jasleen Kaur 1 , Ravi Rao 2 1. Internal Medicine, St Agnes Medical Center, Fresno, USA 2. Hematology and Oncology, St Agnes Medical Center, Fresno, USA Corresponding author: Manpreet Singh, [email protected] Abstract Members of the SWItch/sucrose nonfermentable (SWI-SNF) family, including SWI/SNF related, matrix- associated, actin-dependent regulator of chromatin, subfamily A, member 4 (SMARCA4), SWI/SNF related, matrix‐associated, actin‐dependent regulator of chromatin, subfamily B member 1 (SMARCB1)/integrase interactor 1 (INI-1) are known tumor suppressor genes. Interactions between SMARCB1/INI-1 and key protein components in various cellular pathways are related to tumor progression and proliferation. SMARCB1/INI-1 protein was undetectable in rhabdoid tumor cells, whereas non-tumorous cells express the SMARCB1/INI-1 genes. Germline and sporadic mutations of several genes encoding for proteins in this complex are known to cause a spectrum of cancers, usually with sarcomatoid features which include a very aggressive renal medullary carcinoma. We report a case of a 29-year-old male who presented with SMARCA4 deficient renal tumor with a very aggressive clinical behavior which ultimately led to his death. Categories: Nephrology, Oncology Keywords: renal medullary carcinoma, ini-1, renal cell carcinoma, swi/snf, smarcb1, integrase interactor 1 Introduction Renal medullary carcinoma is a rare and very aggressive malignancy affecting young adults with rare cases in patients with sickle cell disease or trait [1]. The tumor arises predominantly in the renal medulla and exhibits a variety of growth patterns including reticular, solid, tubular, trabecular, cribriform, sarcomatoid, and micropapillary [1]. -
Bioinformatics Applications Through Visualization of Variations on Protein
1 Bioinformatics applications through visualization of variations on protein structures, comparative functional genomics, and comparative modeling for protein structure studies A dissertation presented by Alper Uzun to The Department of Biology In partial fulfillment of the requirements for the degree of Doctor of Philosophy in the field of Biology Northeastern University Boston, Massachusetts July 2009 2 ©2009 Alper Uzun ALL RIGHTS RESERVED 3 Bioinformatics applications through visualization of variations on protein structures, comparative functional genomics, and comparative modeling for protein structure studies by Alper Uzun ABSTRACT OF DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biology in the Graduate School of Arts and Sciences of Northeastern University, July, 2009 4 Abstract The three-dimensional structure of a protein provides important information for understanding and answering many biological questions in molecular detail. The rapidly growing number of sequenced genes and related genomic information is intensively accumulating in the biological databases. It is significantly important to combine biological data and developing bioinformatics tools while information of protein sequences, structures and DNA sequences are exponentially growing. On the other hand, especially the number of known protein sequences is much larger than the number of experimentally solved protein structures. However the experimental methods cannot always be applied or protein structures -
FLI1 Gene Fli-1 Proto-Oncogene, ETS Transcription Factor
FLI1 gene Fli-1 proto-oncogene, ETS transcription factor Normal Function The FLI1 gene provides instructions for making the FLI protein, which controls the activity (transcription) of genes. Transcription is the first step in the process of producing proteins. The FLI protein is part of a group of related proteins, called the Ets family of transcription factors, that control transcription. The FLI protein attaches (binds) to certain regions of DNA and turns on (activates) the transcription of nearby genes. The proteins produced from these genes control many important cellular processes, such as cell growth and division (proliferation), maturation (differentiation), and survival. The FLI protein is found primarily in blood cells and is thought to regulate their development. Health Conditions Related to Genetic Changes Ewing sarcoma Mutations involving the FLI1 gene cause a type of cancerous tumor known as Ewing sarcoma. These tumors develop in bones or soft tissues such as nerves and cartilage. There are several types of Ewing sarcoma, including Ewing sarcoma of bone, extraosseous Ewing sarcoma, peripheral primitive neuroectodermal tumor, and Askin tumor. The mutations that cause these tumors are acquired during a person's lifetime and are present only in the tumor cells. This type of genetic change, called a somatic mutation, is not inherited. The most common mutation that causes Ewing sarcoma is a rearrangement (translocation) of genetic material between chromosome 11 and chromosome 22. This translocation, written as t(11;22), fuses part of the FLI1 gene on chromosome 11 with part of another gene called EWSR1 on chromosome 22, creating an EWSR1/FLI1 fusion gene. -
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. -
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/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. -
Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes
[CANCER RESEARCH 64, 6453–6460, September 15, 2004] Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes Be´atrice Orsetti,1 Me´lanie Nugoli,1 Nathalie Cervera,1 Laurence Lasorsa,1 Paul Chuchana,1 Lisa Ursule,1 Catherine Nguyen,2 Richard Redon,3 Stanislas du Manoir,3 Carmen Rodriguez,1 and Charles Theillet1 1Ge´notypes et Phe´notypes Tumoraux, EMI229 INSERM/Universite´ Montpellier I, Montpellier, France; 2ERM 206 INSERM/Universite´ Aix-Marseille 2, Parc Scientifique de Luminy, Marseille cedex, France; and 3IGBMC, U596 INSERM/Universite´Louis Pasteur, Parc d’Innovation, Illkirch cedex, France ABSTRACT 17q12-q21 corresponding to the amplification of ERBB2 and collinear genes, and a large region at 17q23 (5, 6). A number of new candidate Chromosome 17 is severely rearranged in breast cancer. Whereas the oncogenes have been identified, among which GRB7 and TOP2A at short arm undergoes frequent losses, the long arm harbors complex 17q21 or RP6SKB1, TBX2, PPM1D, and MUL at 17q23 have drawn combinations of gains and losses. In this work we present a comprehensive study of quantitative anomalies at chromosome 17 by genomic array- most attention (6–10). Furthermore, DNA microarray studies have comparative genomic hybridization and of associated RNA expression revealed additional candidates, with some located outside current changes by cDNA arrays. We built a genomic array covering the entire regions of gains, thus suggesting the existence of additional amplicons chromosome at an average density of 1 clone per 0.5 Mb, and patterns of on 17q (8, 9). gains and losses were characterized in 30 breast cancer cell lines and 22 Our previous loss of heterozygosity mapping data pointed to the primary 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). -
Increased ACTL6A Occupancy Within Mswi/SNF Chromatin Remodelers
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.22.435873; this version posted March 22, 2021. 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. Increased ACTL6A Occupancy Within mSWI/SNF Chromatin Remodelers Drives Human Squamous Cell Carcinoma Chiung-Ying Chang1,2,7, Zohar Shipony3,7, Ann Kuo1,2, Kyle M. Loh4,5, William J. Greenleaf3,6, Gerald R. Crabtree1,2,5* 1Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305, USA. 2Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA. 3Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA. 4Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California 94305, USA. 5Department of Developmental Biology, Stanford University School of Medicine, Stanford, California 94305, USA. 6Department of Applied Physics, Stanford University, Stanford, California 94305, USA. 7These authors contributed equally. *Corresponding author: Gerald R. Crabtree, [email protected] Summary Mammalian SWI/SNF (BAF) chromatin remodelers play dosage-sensitive roles in many human malignancies and neurologic disorders. The gene encoding the BAF subunit, ACTL6A, is amplified at an early stage in the development of squamous cell carcinomas (SCCs), but its oncogenic role remains unclear. Here we demonstrate that ACTL6A overexpression leads to its stoichiometric assembly into BAF complexes and drives its interaction and engagement with specific regulatory regions in the genome. In normal epithelial cells, ACTL6A was sub-stoichiometric to other BAF subunits. However, increased ACTL6A levels by ectopic expression or in SCC cells led to near-saturation of ACTL6A within BAF complexes.