1 Canonical BAF Complex in Regulatory T Cells 2 3 Chin
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Transcriptome Analyses of Rhesus Monkey Pre-Implantation Embryos Reveal A
Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Transcriptome analyses of rhesus monkey pre-implantation embryos reveal a reduced capacity for DNA double strand break (DSB) repair in primate oocytes and early embryos Xinyi Wang 1,3,4,5*, Denghui Liu 2,4*, Dajian He 1,3,4,5, Shengbao Suo 2,4, Xian Xia 2,4, Xiechao He1,3,6, Jing-Dong J. Han2#, Ping Zheng1,3,6# Running title: reduced DNA DSB repair in monkey early embryos Affiliations: 1 State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 2 Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China 3 Yunnan Key Laboratory of Animal Reproduction, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 4 University of Chinese Academy of Sciences, Beijing, China 5 Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China 6 Primate Research Center, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China * Xinyi Wang and Denghui Liu contributed equally to this work 1 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press # Correspondence: Jing-Dong J. Han, Email: [email protected]; Ping Zheng, Email: [email protected] Key words: rhesus monkey, pre-implantation embryo, DNA damage 2 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Pre-implantation embryogenesis encompasses several critical events including genome reprogramming, zygotic genome activation (ZGA) and cell fate commitment. -
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. -
Plenary and Platform Abstracts
American Society of Human Genetics 68th Annual Meeting PLENARY AND PLATFORM ABSTRACTS Abstract #'s Tuesday, October 16, 5:30-6:50 pm: 4. Featured Plenary Abstract Session I Hall C #1-#4 Wednesday, October 17, 9:00-10:00 am, Concurrent Platform Session A: 6. Variant Insights from Large Population Datasets Ballroom 20A #5-#8 7. GWAS in Combined Cancer Phenotypes Ballroom 20BC #9-#12 8. Genome-wide Epigenomics and Non-coding Variants Ballroom 20D #13-#16 9. Clonal Mosaicism in Cancer, Alzheimer's Disease, and Healthy Room 6A #17-#20 Tissue 10. Genetics of Behavioral Traits and Diseases Room 6B #21-#24 11. New Frontiers in Computational Genomics Room 6C #25-#28 12. Bone and Muscle: Identifying Causal Genes Room 6D #29-#32 13. Precision Medicine Initiatives: Outcomes and Lessons Learned Room 6E #33-#36 14. Environmental Exposures in Human Traits Room 6F #37-#40 Wednesday, October 17, 4:15-5:45 pm, Concurrent Platform Session B: 24. Variant Interpretation Practices and Resources Ballroom 20A #41-#46 25. Integrated Variant Analysis in Cancer Genomics Ballroom 20BC #47-#52 26. Gene Discovery and Functional Models of Neurological Disorders Ballroom 20D #53-#58 27. Whole Exome and Whole Genome Associations Room 6A #59-#64 28. Sequencing-based Diagnostics for Newborns and Infants Room 6B #65-#70 29. Omics Studies in Alzheimer's Disease Room 6C #71-#76 30. Cardiac, Valvular, and Vascular Disorders Room 6D #77-#82 31. Natural Selection and Human Phenotypes Room 6E #83-#88 32. Genetics of Cardiometabolic Traits Room 6F #89-#94 Wednesday, October 17, 6:00-7:00 pm, Concurrent Platform Session C: 33. -
The Complex SNP and CNV Genetic Architecture of the Increased Risk of Congenital Heart Defects in Down Syndrome
Downloaded from genome.cshlp.org on September 24, 2021 - Published by Cold Spring Harbor Laboratory Press Research The complex SNP and CNV genetic architecture of the increased risk of congenital heart defects in Down syndrome M. Reza Sailani,1,2 Periklis Makrythanasis,1 Armand Valsesia,3,4,5 Federico A. Santoni,1 Samuel Deutsch,1 Konstantin Popadin,1 Christelle Borel,1 Eugenia Migliavacca,1 Andrew J. Sharp,1,20 Genevieve Duriaux Sail,1 Emilie Falconnet,1 Kelly Rabionet,6,7,8 Clara Serra-Juhe´,7,9 Stefano Vicari,10 Daniela Laux,11 Yann Grattau,12 Guy Dembour,13 Andre Megarbane,12,14 Renaud Touraine,15 Samantha Stora,12 Sofia Kitsiou,16 Helena Fryssira,16 Chariklia Chatzisevastou-Loukidou,16 Emmanouel Kanavakis,16 Giuseppe Merla,17 Damien Bonnet,11 Luis A. Pe´rez-Jurado,7,9 Xavier Estivill,6,7,8 Jean M. Delabar,18 and Stylianos E. Antonarakis1,2,19,21 1–19[Author affiliations appear at the end of the paper.] Congenital heart defect (CHD) occurs in 40% of Down syndrome (DS) cases. While carrying three copies of chromosome 21 increases the risk for CHD, trisomy 21 itself is not sufficient to cause CHD. Thus, additional genetic variation and/or environmental factors could contribute to the CHD risk. Here we report genomic variations that in concert with trisomy 21, determine the risk for CHD in DS. This case-control GWAS includes 187 DS with CHD (AVSD = 69, ASD = 53, VSD = 65) as cases, and 151 DS without CHD as controls. Chromosome 21–specific association studies revealed rs2832616 and rs1943950 as CHD risk alleles (adjusted genotypic P-values <0.05). -
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. -
Metastatic Adrenocortical Carcinoma Displays Higher Mutation Rate and Tumor Heterogeneity Than Primary Tumors
ARTICLE DOI: 10.1038/s41467-018-06366-z OPEN Metastatic adrenocortical carcinoma displays higher mutation rate and tumor heterogeneity than primary tumors Sudheer Kumar Gara1, Justin Lack2, Lisa Zhang1, Emerson Harris1, Margaret Cam2 & Electron Kebebew1,3 Adrenocortical cancer (ACC) is a rare cancer with poor prognosis and high mortality due to metastatic disease. All reported genetic alterations have been in primary ACC, and it is 1234567890():,; unknown if there is molecular heterogeneity in ACC. Here, we report the genetic changes associated with metastatic ACC compared to primary ACCs and tumor heterogeneity. We performed whole-exome sequencing of 33 metastatic tumors. The overall mutation rate (per megabase) in metastatic tumors was 2.8-fold higher than primary ACC tumor samples. We found tumor heterogeneity among different metastatic sites in ACC and discovered recurrent mutations in several novel genes. We observed 37–57% overlap in genes that are mutated among different metastatic sites within the same patient. We also identified new therapeutic targets in recurrent and metastatic ACC not previously described in primary ACCs. 1 Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. 2 Center for Cancer Research, Collaborative Bioinformatics Resource, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. 3 Department of Surgery and Stanford Cancer Institute, Stanford University, Stanford, CA 94305, USA. Correspondence and requests for materials should be addressed to E.K. (email: [email protected]) NATURE COMMUNICATIONS | (2018) 9:4172 | DOI: 10.1038/s41467-018-06366-z | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-018-06366-z drenocortical carcinoma (ACC) is a rare malignancy with types including primary ACC from the TCGA to understand our A0.7–2 cases per million per year1,2. -
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. -
Insights Into Functional Connectivity in Mammalian Signal Transduction Pathways by Pairwise
bioRxiv preprint doi: https://doi.org/10.1101/2019.12.30.891200; this version posted December 30, 2019. 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. Insights into Functional Connectivity in Mammalian Signal Transduction Pathways by Pairwise Comparison of Protein Interaction Partners of Critical Signaling Hubs Chilakamarti V. Ramana * Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03766, USA *Correspondence should be addressed: Chilakamarti V .Ramana, Telephone. (603)-738-2507, E-mail: [email protected] ORCID ID: /0000-0002-5153-8252 1 bioRxiv preprint doi: https://doi.org/10.1101/2019.12.30.891200; this version posted December 30, 2019. 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. Abstract Growth factors and cytokines activate signal transduction pathways and regulate gene expression in eukaryotes. Intracellular domains of activated receptors recruit several protein kinases as well as transcription factors that serve as platforms or hubs for the assembly of multi-protein complexes. The signaling hubs involved in a related biologic function often share common interaction proteins and target genes. This functional connectivity suggests that a pairwise comparison of protein interaction partners of signaling hubs and network analysis of common partners and their expression analysis might lead to the identification of critical nodes in cellular signaling. -
Downloading and Running the Code
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.30.069690; this version posted December 10, 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-ND 4.0 International license. Identification of disease treatment mechanisms through the multiscale interactome Camilo Ruiz,1;2 Marinka Zitnik,3 Jure Leskovec1;4;˚ 1 Computer Science Department, Stanford University, Stanford, CA 94305, USA 2 Bioengineering Department, Stanford University, Stanford, CA 94305, USA 3 Biomedical Informatics Department, Harvard University, Boston, MA 02115, USA 4 Chan Zuckerberg Biohub, San Francisco, CA 94158, USA ˚Corresponding author. Email: [email protected] 1 Most diseases disrupt multiple proteins, and drugs treat such diseases by restoring the func- 2 tions of the disrupted proteins. How drugs restore these functions, however, is often unknown 3 as a drug’s therapeutic effects are not limited only to the proteins that the drug directly tar- 4 gets. Here, we develop the multiscale interactome, a powerful approach to explain disease 5 treatment. We integrate disease-perturbed proteins, drug targets, and biological functions 6 into a multiscale interactome network, which contains 478,728 interactions between 1,661 7 drugs, 840 diseases, 17,660 human proteins, and 9,798 biological functions. We find that 8 a drug’s effectiveness can often be attributed to targeting proteins that are distinct from 9 disease-associated proteins but that affect the same biological functions. We develop a ran- 10 dom walk-based method that captures how drug effects propagate through a hierarchy of 11 biological functions and are coordinated by the protein-protein interaction network in which 12 drugs act. -
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. -
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. -
This Thesis Has Been Submitted in Fulfilment of the Requirements for a Postgraduate Degree (E.G
This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (e.g. PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: This work is protected by copyright and other intellectual property rights, which are retained by the thesis author, unless otherwise stated. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the author. The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the author. When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given. Identification and characterisation of novel factors involved in the nonsense-mediated mRNA decay (NMD) pathway Angela Casadio Thesis presented for the degree of Doctor of Philosophy The University of Edinburgh 2016 Declaration I declare that this thesis is of my own composition. The work presented in this thesis is my own, unless otherwise stated, and has not been presented for any other degree or professional qualification. Angela Casadio ii Acknowledgements First and foremost, I would like to thank my supervisor Javier for making this possible. I have really enjoyed working on a field I knew little about when I started my project, I’ve learnt a lot in the past four years and I will treasure the experience! A huge thank you goes to Dasa for all the help and good advice she gave me during the course of my PhD.