BNC1 Regulates Human Epicardial Heterogeneity and Function

Total Page:16

File Type:pdf, Size:1020Kb

BNC1 Regulates Human Epicardial Heterogeneity and Function BNC1 REGULATES HUMAN EPICARDIAL HETEROGENEITY AND FUNCTION Sophie McManus St Catharine’s College Department of Clinical Medicine/ Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre Addenbrooke’s Hospital University of Cambridge This dissertation is submitted for the degree of Doctor of Philosophy October 2019 Dedicated to A. i DECLARATION This dissertation is the result of my own work and includes nothing which is the outcome of work done in collaboration except where specifically indicated in the text. It has not been previously submitted, in part or whole, to the University of Cambridge or any other university or institution for any degree, diploma, or other qualification. In accordance with the Department of Clinical Medicine guidelines, this thesis does not exceed 60,000 words. Sophie McManus (MA, MRes) Publications Part of the work presented in this dissertation has either been submitted or published in the following: Gambardella L., McManus S.A., Moignard V., Sebukhan D., Delaune A., Andrews S., Bernard W.G., Morrison M., Riley P.R., Le Novѐre N., Sinha S. BNC1 is a master regulator of human epicardial cell heterogeneity and function. Development, accepted for publication in August 2019. (Development 2019 146: dev174441 doi: 10.1242/dev.174441 Published 13th December 2019.) ii ABSTRACT Name: Sophie McManus Thesis title: BNC1 regulates human epicardial heterogeneity and function The epicardium is a transcriptionally heterogeneous cell layer covering the heart, crucial to correct cardiovascular development. Following epithelial-to-mesenchymal transition (EMT), epicardial cells migrate into myocardium, form coronary smooth muscle cells and cardiac fibroblasts, and instruct cardiomyocytes to proliferate and mature. Adult mammalian epicardium is quiescent, but reactivates post-injury with limited effect. However, in zebrafish and in neonatal mouse, epicardial signalling enables robust cardiac regeneration after myocardial infarction. We hypothesise that manipulating human epicardial function could facilitate heart regeneration, via reactivation of embryonic processes. However, epicardial regulation remains incompletely understood; although understanding epicardial mechanisms could be key to potentially manipulating epicardium for therapeutic benefit. This PhD investigates a candidate transcription factor, Basonuclin 1 (BNC1), in functional regulation of human epicardial models, and identifies this gene as a potential key human epicardial regulator. Epicardial-like cells derived from human pluripotent stem cells (hPSC-epi) were previously used for single-cell RNA sequencing (scRNA-seq) in order to investigate possible human epicardial heterogeneity. This identified two distinct hPSC-epi subpopulations: one high in WT1 expression, the other high in TCF21. Bioinformatic analyses identified BNC1 as a potential key node in the hPSC-epi signalling network, via network inference modelling. BNC1 is a transcription factor known to regulate migration and proliferation in other epithelia. Given our network inference analyses and the literature evidence, I hypothesised that BNC1 would have functional relevance in human epicardium, so aimed to investigate its function in hPSC-epi differentiation and epicardial cell migration, as well as identify its putative epicardial targets. Firstly, scRNA-seq data describing hPSC-epi heterogeneity were validated in primary human foetal epicardium and BNC1 expression was confirmed in human epicardial models. BNC1 was subsequently investigated, both by siRNA- knockdown in hPSC-epi and foetal epicardial explants and inducible knockdown cell lines (siKD). siKD hPSC-epi had over 90% BNC1 reduction and displayed significantly altered expression of canonical epicardial genes WT1 and TCF21: hPSC-epi heterogeneity was thereby lost. Altered hPSC-epi proliferation and viability were also iii observed. siKD hPSC-epi was subsequently used in a simple epicardial EMT model (epi- EMT). siKD epi-EMT displayed impaired migration and pronounced cortical actin localisation. ChIP sequencing and bulk RNA sequencing identified potentially promising BNC1 targets, such as actin-binding protein supervillin, for future investigation. We conclude that BNC1 is a key functional epicardial regulator in vitro, paving the way for in vivo characterisation. The knowledge that manipulating BNC1 regulates epicardial heterogeneity and function may instruct efforts to harness epicardial potential for future therapeutic benefit. iv ACKNOWLEDGEMENTS Firstly, I am extremely grateful to Dr Sanjay Sinha for providing the opportunity to undertake my PhD within his research group. It has been both a rewarding and challenging experience; I have truly appreciated his continual intellectual input, critical evaluation and overarching support throughout the project, which has passed incredibly quickly. Being a member of the Sinha group for the past few years has been a fantastic experience. I would also like to thank Dr Laure Gambardella, an inspirational day-to-day supervisor. I am especially grateful to Laure for her kindness, advice and encouragement (combined with a great sense of humour); I have very much enjoyed the time spent working with her and have learnt a great deal, particularly with regards to experimental design and data analysis. I also extend my sincere thanks to all the Sinha group members and collaborators past and present, and in particular thank the following people: Dr Will Bernard, for a great deal of advice and support in establishing the BNC1 knockdown cell lines; Dr Vincent Knight-Schrijver, for his invaluable work in analysing ChIP-seq data and several interesting discussions; Maura Morrison, who was a wonderful rotation student; Dr Maria Colzani, Dr Aishwarya Jacobs and Ms Ping Ong, for invaluable experimental insights; Dr Hongorzul Davaapil, both for scientific guidance and the ImageJ cell counter macro; Alex Petchey for the work on the BNC1 mice; and both Deborah Passey and Dr Peter Holt for general logistical life-saving. All members of the group have been happy to discuss my work, frequently offering helpful feedback and advice: overall, the Sinha group has provided a wonderful working environment, both in terms of scientific achievement and social atmosphere. Dr Helena Kim also offered regular food for thought and professional insight at events outside the lab. I have greatly appreciated the intellectual input from Dr Helle Jørgensen during regular lab meeting presentations and discussions. I am also thankful to Helle for the time I spent in her group during my rotation project, and for her support in pursuing an early PhD side-project on coronary artery proliferation during embryonic development in the Confetti mouse model. Dr Jenny Harman offered useful advice regarding ChIP experiments, and Annabel Taylor has been a great friend throughout the length of my project, providing plenty of experimental discussion over coffee. Cambridge v Cardiovascular Division members have also provided helpful feedback and critical evaluation of my data following regular divisional presentations. I am thankful to the Vallier lab for the gift of the inducible knockdown vector and quantities of helpful advice (in particular, Dr Alessandro Bertero, Stephanie Brown and Dr Anna Osnato). While both the Sinha and the Vallier groups have recently relocated, I have many good memories of working in the LRM (notwithstanding the occasional building-related hiccup). Thanks also go to the Phenotyping Hub, which offered support for flow cytometry; Gregory Strachan and Peter Humphreys, for their useful advice regarding imaging; and Xiaoling He, who coordinated the supply of human foetal tissues. I’ve enjoyed much support from the Oxford girls, Sophie, Helen and Natalia, and have appreciated their unwavering kindness, honesty and humorous take on life. Further thanks are owed to the irrepressible Barton Road girls Anni, Emma and Katie, for their wonderfully absurd sense of humour and fun, as well as several former and continuing members of St Catharine’s College, whom I thank for many great times around Cambridge. I am naturally extremely grateful to my family, and in particular my parents and grandparents, for offering their valuable perspective and encouragement, as ever. This PhD project was enabled by generous British Heart Foundation funding under grant code FS/14/59/31282, and I have been both grateful and proud to represent such a great charity over the last few years. Lastly, I would especially like to thank my fiancé Alex, for being a constant source of support, positivity and kindness. vi CONTENTS 1. INTRODUCTION ..................................................................................................... 23 1.1 THE HEART ............................................................................................................. 24 1.1.1 Cardiovascular disease .................................................................................. 24 1.1.2 Cardiovascular regeneration after injury ...................................................... 25 1.1.3 Cellular therapy for cardiac regeneration ..................................................... 27 1.2 CARDIOVASCULAR ORIGINS: MESODERM DEVELOPMENT ........................................ 28 1.2.1 Mesoderm specification: genes and signalling .............................................. 28 1.2.2 Cardiac lineage formation ............................................................................. 30 1.3 PROEPICARDIAL FORMATION, SIGNALLING AND MIGRATION .................................
Recommended publications
  • Primepcr™Assay Validation Report
    PrimePCR™Assay Validation Report Gene Information Gene Name basonuclin 1 Gene Symbol BNC1 Organism Human Gene Summary The protein encoded by this gene is a zinc finger protein present in the basal cell layer of the epidermis and in hair follicles. It is also found in abundance in the germ cells of testis and ovary. This protein is thought to play a regulatory role in keratinocyte proliferation and it may also be a regulator for rRNA transcription. This gene seems to have multiple alternatively spliced transcript variants but their full-length nature is not known yet. There seems to be evidence of multiple polyadenylation sites for this gene. Gene Aliases BNC, BSN1, HsT19447 RefSeq Accession No. NC_000015.9, NT_077661.3 UniGene ID Hs.459153 Ensembl Gene ID ENSG00000169594 Entrez Gene ID 646 Assay Information Unique Assay ID qHsaCID0017223 Assay Type SYBR® Green Detected Coding Transcript(s) ENST00000345382, ENST00000541809 Amplicon Context Sequence CCATAGAGCATGAGGCTGCTAATATCAAACACTACATTGGACTGGACAATCTCCA CCTGGCTTGTTGGATACATGGGGGGGATCCTTAGCTTACTTAGAGCGTGGGCCA CCCATCCATGCTTGCATTGGTCACACTGACGGTGGTTTATTTTCCCGGGTTTGAA ACTTTGG Amplicon Length (bp) 141 Chromosome Location 15:83935724-83936955 Assay Design Intron-spanning Purification Desalted Validation Results Efficiency (%) 100 R2 0.9997 cDNA Cq 26.81 Page 1/5 PrimePCR™Assay Validation Report cDNA Tm (Celsius) 84.5 gDNA Cq 39.42 Specificity (%) 100 Information to assist with data interpretation is provided at the end of this report. Page 2/5 PrimePCR™Assay Validation Report BNC1, Human Amplification
    [Show full text]
  • The DNA Methylation Landscape of Glioblastoma Disease Progression Shows Extensive Heterogeneity in Time and Space
    bioRxiv preprint doi: https://doi.org/10.1101/173864; this version posted August 9, 2017. 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. The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space Johanna Klughammer1*, Barbara Kiesel2,3*, Thomas Roetzer3,4, Nikolaus Fortelny1, Amelie Kuchler1, Nathan C. Sheffield5, Paul Datlinger1, Nadine Peter3,4, Karl-Heinz Nenning6, Julia Furtner3,7, Martha Nowosielski8,9, Marco Augustin10, Mario Mischkulnig2,3, Thomas Ströbel3,4, Patrizia Moser11, Christian F. Freyschlag12, Jo- hannes Kerschbaumer12, Claudius Thomé12, Astrid E. Grams13, Günther Stockhammer8, Melitta Kitzwoegerer14, Stefan Oberndorfer15, Franz Marhold16, Serge Weis17, Johannes Trenkler18, Johanna Buchroithner19, Josef Pichler20, Johannes Haybaeck21,22, Stefanie Krassnig21, Kariem Madhy Ali23, Gord von Campe23, Franz Payer24, Camillo Sherif25, Julius Preiser26, Thomas Hauser27, Peter A. Winkler27, Waltraud Kleindienst28, Franz Würtz29, Tanisa Brandner-Kokalj29, Martin Stultschnig30, Stefan Schweiger31, Karin Dieckmann3,32, Matthias Preusser3,33, Georg Langs6, Bernhard Baumann10, Engelbert Knosp2,3, Georg Widhalm2,3, Christine Marosi3,33, Johannes A. Hainfellner3,4, Adelheid Woehrer3,4#§, Christoph Bock1,34,35# 1 CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria. 2 Department of Neurosurgery, Medical University of Vienna, Vienna, Austria. 3 Comprehensive Cancer Center, Central Nervous System Tumor Unit, Medical University of Vienna, Austria. 4 Institute of Neurology, Medical University of Vienna, Vienna, Austria. 5 Center for Public Health Genomics, University of Virginia, Charlottesville VA, USA. 6 Department of Biomedical Imaging and Image-guided Therapy, Computational Imaging Research Lab, Medical University of Vi- enna, Vienna, Austria.
    [Show full text]
  • Identification of Novel DNA-Methylated Genes
    Prostate Cancer and Prostatic Disease (2013) 16, 292–300 & 2013 Macmillan Publishers Limited All rights reserved 1365-7852/13 www.nature.com/pcan ORIGINAL ARTICLE Identification of novel DNA-methylated genes that correlate with human prostate cancer and high-grade prostatic intraepithelial neoplasia JM Devaney1, S Wang2,3, S Funda1, J Long2, DJ Taghipour2, R Tbaishat3, P Furbert-Harris2,4, M Ittmann5 and B Kwabi-Addo2,3 BACKGROUND: Prostate cancer (PCa) harbors a myriad of genomic and epigenetic defects. Cytosine methylation of CpG-rich promoter DNA is an important mechanism of epigenetic gene inactivation in PCa. There is considerable amount of data to suggest that DNA methylation-based biomarkers may be useful for the early detection and diagnosis of PCa. In addition, candidate gene- based studies have shown an association between specific gene methylation and alterations and clinicopathologic indicators of poor prognosis in PCa. METHODS: To more comprehensively identify DNA methylation alterations in PCa initiation and progression, we examined the methylation status of 485 577 CpG sites from regions with a broad spectrum of CpG densities, interrogating both gene-associated and non-associated regions using the recently developed Illumina 450K methylation platform. RESULTS: In all, we selected 33 promoter-associated novel CpG sites that were differentially methylated in high-grade prostatic intraepithelial neoplasia and PCa in comparison with benign prostate tissue samples (false discovery rate-adjusted P-value o0.05; b-value X0.2; fold change 41.5). Of the 33 genes, hierarchical clustering analysis demonstrated BNC1, FZD1, RPL39L, SYN2, LMX1B, CXXC5, ZNF783 and CYB5R2 as top candidate novel genes that are frequently methylated and whose methylation was associated with inactivation of gene expression in PCa cell lines.
    [Show full text]
  • Rna-Sequencing Applications: Gene Expression Quantification and Methylator Phenotype Identification
    The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 8-2013 RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION Guoshuai Cai Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Bioinformatics Commons, Computational Biology Commons, and the Medicine and Health Sciences Commons Recommended Citation Cai, Guoshuai, "RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION" (2013). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 386. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/386 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION
    [Show full text]
  • The GALNT9, BNC1 and CCDC8 Genes Are Frequently Epigenetically Dysregulated in Breast Tumours That Metastasise to the Brain Rajendra P
    Pangeni et al. Clinical Epigenetics (2015) 7:57 DOI 10.1186/s13148-015-0089-x RESEARCH Open Access The GALNT9, BNC1 and CCDC8 genes are frequently epigenetically dysregulated in breast tumours that metastasise to the brain Rajendra P. Pangeni1, Prasanna Channathodiyil1, David S. Huen2, Lawrence W. Eagles1, Balraj K. Johal2, Dawar Pasha2, Natasa Hadjistephanou2, Oliver Nevell2, Claire L. Davies2, Ayobami I. Adewumi2, Hamida Khanom2, Ikroop S. Samra2, Vanessa C. Buzatto2, Preethi Chandrasekaran2, Thoraia Shinawi3, Timothy P. Dawson4, Katherine M. Ashton4, Charles Davis4, Andrew R. Brodbelt5, Michael D. Jenkinson5, Ivan Bièche6, Farida Latif3, John L. Darling1, Tracy J. Warr1 and Mark R. Morris1,2,3* Abstract Background: Tumour metastasis to the brain is a common and deadly development in certain cancers; 18–30 % of breast tumours metastasise to the brain. The contribution that gene silencing through epigenetic mechanisms plays in these metastatic tumours is not well understood. Results: We have carried out a bioinformatic screen of genome-wide breast tumour methylation data available at The Cancer Genome Atlas (TCGA) and a broad literature review to identify candidate genes that may contribute to breast to brain metastasis (BBM). This analysis identified 82 candidates. We investigated the methylation status of these genes using Combined Bisulfite and Restriction Analysis (CoBRA) and identified 21 genes frequently methylated in BBM. We have identified three genes, GALNT9, CCDC8 and BNC1, that were frequently methylated (55, 73 and 71 %, respectively) and silenced in BBM and infrequently methylated in primary breast tumours. CCDC8 was commonly methylated in brain metastases and their associated primary tumours whereas GALNT9 and BNC1 were methylated and silenced only in brain metastases, but not in the associated primary breast tumours from individual patients.
    [Show full text]
  • Identification of Candidate Tumour Suppressor Genes Frequently
    Oncogene (2010) 29, 2104–2117 & 2010 Macmillan Publishers Limited All rights reserved 0950-9232/10 $32.00 www.nature.com/onc ORIGINAL ARTICLE Identification of candidate tumour suppressor genes frequently methylated in renal cell carcinoma MR Morris1,2, C Ricketts1,2, D Gentle1,2, M Abdulrahman2, N Clarke3, M Brown3, T Kishida4, M Yao4, F Latif1,2 and ER Maher1,2,5 1Cancer Research UK Renal Molecular Oncology Group, University of Birmingham, Birmingham, UK; 2Department of Medical and Molecular Genetics, School of Clinical and Experimental Medicine, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK; 3Genito-Urinary Cancer Research Group, Paterson Institute for Cancer Research, University of Manchester, Manchester, UK; 4Department of Urology, Yokohama City University School of Medicine, Yokohama, Japan and 5West Midlands Region Genetics Service, Birmingham Women’s Hospital, Edgbaston, Birmingham, UK Promoter region hyermethylation and transcriptional cancer are diagnosed in the world each year (Ferlay silencing is a frequent cause of tumour suppressor gene et al., 2007). The most common form of kidney cancer in (TSG) inactivation in many types of human cancers. adults is renal cell carcinoma (RCC). A majority of the Functional epigenetic studies, in which gene expression is RCC (B75%) are classified as clear cell (conventional) induced by treatment with demethylating agents, may and the next most frequent subtype is papillary RCC identify novel genes with tumour-specific methylation. We (B15% of all cases) (Mancini et al., 2008). The used high-density gene expression microarrays in a prognosis of advanced RCC is poor, although newer functional epigenetic study of 11 renal cell carcinoma treatments, based on knowledge of the molecular (RCC) cell lines.
    [Show full text]
  • Genomic Anatomy of the Tyrp1 (Brown) Deletion Complex
    Genomic anatomy of the Tyrp1 (brown) deletion complex Ian M. Smyth*, Laurens Wilming†, Angela W. Lee*, Martin S. Taylor*, Phillipe Gautier*, Karen Barlow†, Justine Wallis†, Sancha Martin†, Rebecca Glithero†, Ben Phillimore†, Sarah Pelan†, Rob Andrew†, Karen Holt†, Ruth Taylor†, Stuart McLaren†, John Burton†, Jonathon Bailey†, Sarah Sims†, Jan Squares†, Bob Plumb†, Ann Joy†, Richard Gibson†, James Gilbert†, Elizabeth Hart†, Gavin Laird†, Jane Loveland†, Jonathan Mudge†, Charlie Steward†, David Swarbreck†, Jennifer Harrow†, Philip North‡, Nicholas Leaves‡, John Greystrong‡, Maria Coppola‡, Shilpa Manjunath‡, Mark Campbell‡, Mark Smith‡, Gregory Strachan‡, Calli Tofts‡, Esther Boal‡, Victoria Cobley‡, Giselle Hunter‡, Christopher Kimberley‡, Daniel Thomas‡, Lee Cave-Berry‡, Paul Weston‡, Marc R. M. Botcherby‡, Sharon White*, Ruth Edgar*, Sally H. Cross*, Marjan Irvani¶, Holger Hummerich¶, Eleanor H. Simpson*, Dabney Johnson§, Patricia R. Hunsicker§, Peter F. R. Little¶, Tim Hubbard†, R. Duncan Campbell‡, Jane Rogers†, and Ian J. Jackson*ʈ *Medical Research Council Human Genetics Unit, Edinburgh EH4 2XU, United Kingdom; †Wellcome Trust Sanger Institute, and ‡Medical Research Council Rosalind Franklin Centre for Genome Research, Hinxton CB10 1SA, United Kingdom; §Life Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831; and ¶Department of Biochemistry, Imperial College, London SW7 2AZ, United Kingdom Communicated by Liane B. Russell, Oak Ridge National Laboratory, Oak Ridge, TN, January 9, 2006 (received for review September 15, 2005) Chromosome deletions in the mouse have proven invaluable in the deletions also provided the means to produce physical maps of dissection of gene function. The brown deletion complex com- genetic markers. Studies of this kind have been published for prises >28 independent genome rearrangements, which have several loci, including albino (Tyr), piebald (Ednrb), pink-eyed been used to identify several functional loci on chromosome 4 dilution (p), and the brown deletion complex (2–6).
    [Show full text]
  • 393LN V 393P 344SQ V 393P Probe Set Entrez Gene
    393LN v 393P 344SQ v 393P Entrez fold fold probe set Gene Gene Symbol Gene cluster Gene Title p-value change p-value change chemokine (C-C motif) ligand 21b /// chemokine (C-C motif) ligand 21a /// chemokine (C-C motif) ligand 21c 1419426_s_at 18829 /// Ccl21b /// Ccl2 1 - up 393 LN only (leucine) 0.0047 9.199837 0.45212 6.847887 nuclear factor of activated T-cells, cytoplasmic, calcineurin- 1447085_s_at 18018 Nfatc1 1 - up 393 LN only dependent 1 0.009048 12.065 0.13718 4.81 RIKEN cDNA 1453647_at 78668 9530059J11Rik1 - up 393 LN only 9530059J11 gene 0.002208 5.482897 0.27642 3.45171 transient receptor potential cation channel, subfamily 1457164_at 277328 Trpa1 1 - up 393 LN only A, member 1 0.000111 9.180344 0.01771 3.048114 regulating synaptic membrane 1422809_at 116838 Rims2 1 - up 393 LN only exocytosis 2 0.001891 8.560424 0.13159 2.980501 glial cell line derived neurotrophic factor family receptor alpha 1433716_x_at 14586 Gfra2 1 - up 393 LN only 2 0.006868 30.88736 0.01066 2.811211 1446936_at --- --- 1 - up 393 LN only --- 0.007695 6.373955 0.11733 2.480287 zinc finger protein 1438742_at 320683 Zfp629 1 - up 393 LN only 629 0.002644 5.231855 0.38124 2.377016 phospholipase A2, 1426019_at 18786 Plaa 1 - up 393 LN only activating protein 0.008657 6.2364 0.12336 2.262117 1445314_at 14009 Etv1 1 - up 393 LN only ets variant gene 1 0.007224 3.643646 0.36434 2.01989 ciliary rootlet coiled- 1427338_at 230872 Crocc 1 - up 393 LN only coil, rootletin 0.002482 7.783242 0.49977 1.794171 expressed sequence 1436585_at 99463 BB182297 1 - up 393
    [Show full text]
  • Genome-Wide Analysis of Promoter Methylation Associated with Gene Expression Profile in Pancreatic Adenocarcinoma
    Published OnlineFirst May 24, 2011; DOI: 10.1158/1078-0432.CCR-10-3431 Clinical Cancer Human Cancer Biology Research Genome-Wide Analysis of Promoter Methylation Associated with Gene Expression Profile in Pancreatic Adenocarcinoma Audrey Vincent1, Noriyuki Omura1, Seung-Mo Hong1, Andrew Jaffe4, James Eshleman1,2, and Michael Goggins1,2,3 Abstract Purpose: The goal of this study was to comprehensively identify CpG island methylation alterations between pancreatic cancers and normal pancreata and their associated gene expression alterations. Experimental Design: We employed methylated CpG island amplification followed by CpG island microarray, a method previously validated for its accuracy and reproducibility, to analyze the methylation profile of 27,800 CpG islands covering 21 MB of the human genome in nine pairs of pancreatic cancer versus normal pancreatic epithelial tissues and in three matched pairs of pancreatic cancer versus lymphoid tissues from the same individual. Results: This analysis identified 1,658 known loci that were commonly differentially methylated in pancreatic cancer compared with normal pancreas. By integrating the pancreatic DNA methylation status with the gene expression profiles of the same samples before and after treatment with the DNA methyltransferase inhibitor 5-aza-20-deoxycytidine, and the histone deacetylase inhibitor, trichostatin A, we identified dozens of aberrantly methylated and differentially expressed genes in pancreatic cancers including a more comprehensive list of hypermethylated and silenced genes that have not been previously described as targets for aberrant methylation in cancer. Conclusion: We expected that the identification of aberrantly hypermethylated and silenced genes will have diagnostic, prognostic, and therapeutic applications. Clin Cancer Res; 17(13); 4341–54.
    [Show full text]
  • Basonuclin 2 Has a Function in the Multiplication of Embryonic Craniofacial Mesenchymal Cells and Is Orthologous to Disco Proteins
    Basonuclin 2 has a function in the multiplication of embryonic craniofacial mesenchymal cells and is orthologous to disco proteins Amandine Vanhoutteghema, Anna Maciejewski-Duvala, Cyril Bouchea, Brigitte Delhommea, Franc¸oise Herve´ a, Fabrice Daubigneya, Guillaume Soubigoub, Masatake Arakic, Kimi Arakic, Ken-ichi Yamamurac, and Philippe Djiana,1 aUnite´Propre de Recherche 2228 du Centre National de la Recherche Scientifique, Universite´Paris Descartes, 45 rue des Saints-Pe`res, 75006 Paris, France; bInstitut Pasteur, Baˆtiment 14, 28 rue du Dr. Roux, 75015 Paris, France; and cInstitute of Resource Development and Analysis, Kumamoto University, 2-2-1, Honjo, Kumamoto 860-0811, Japan Communicated by Howard Green, Harvard Medical School, Boston, MA, June 26, 2009 (received for review January 29, 2009) Basonuclin 2 is a recently discovered zinc finger protein of unknown The genes for bnc1 and bnc2 differ greatly in size and are located function. Its paralog, basonuclin 1, is associated with the ability of on different chromosomes, but it is clear that they have a common keratinocytes to multiply. The basonuclin zinc fingers are closely evolutionary origin. Bnc1 and bnc2 are thought to possess different related to those of the Drosophila proteins disco and discorelated, but functions, since bnc2 but not bnc1 localizes to nuclear speckles the relation between disco proteins and basonuclins has remained and therefore is likely to have a function in nuclear processing elusive because the function of the disco proteins in larval head of mRNA (14). development seems to have no relation to that of basonuclin 1 and The extreme evolutionary stability of the bnc2 sequence suggests because the amino acid sequence of disco, apart from the zinc fingers, that the protein possesses an important function (2).
    [Show full text]
  • The Cancer Genome Atlas Dataset-Based Analysis of Aberrantly Expressed Genes by Geneanalytics in Thymoma Associated Myasthenia Gravis: Focusing on T Cells
    2323 Original Article The Cancer Genome Atlas dataset-based analysis of aberrantly expressed genes by GeneAnalytics in thymoma associated myasthenia gravis: focusing on T cells Jianying Xi1#, Liang Wang1#, Chong Yan1, Jie Song1, Yang Song2, Ji Chen2, Yongjun Zhu2, Zhiming Chen2, Chun Jin3, Jianyong Ding3, Chongbo Zhao1,4 1Department of Neurology, 2Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China; 3Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200030, China; 4Department of Neurology, Jing’an District Centre Hospital of Shanghai, Fudan University, Shanghai 200040, China Contributions: (I) Conception and design: J Xi, L Wang, C Zhao; (II) Administrative support: J Xi, L Wang, C Zhao; (III) Provision of study materials or patients: Y Song, Y Zhu, J Chen, Z Chen, C Jin, J Ding; (IV) Collection and assembly of data: C Jin, J Ding; (V) Data analysis and interpretation: C Yan, J Song; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors. #These authors contributed equally to this work. Correspondence to: Chongbo Zhao. Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China. Email: [email protected]. Background: Myasthenia gravis (MG) is a group of autoimmune disease which could be accompanied by thymoma. Many differences have been observed between thymoma-associated MG (TAMG) and non-MG thymoma (NMG). However, the molecular difference between them remained unknown. This study aimed to explore the differentially expressed genes (DEGs) between the two categories and to elucidate the possible pathogenesis of TAMG further. Methods: DEGs were calculated using the RNA-Sequencing data from 11 TAMG and 10 NMG in The Cancer Genome Atlas (TCGA) database.
    [Show full text]
  • Title Analysis of the Genome Architecture of The
    Analysis of the genome architecture of the hyperthermopholic Title archaeon Thermococcus kodakarensis( Dissertation_全文 ) Author(s) Maruyama, Hugo Citation Kyoto University (京都大学) Issue Date 2011-03-23 URL http://dx.doi.org/10.14989/doctor.k16233 Right Type Thesis or Dissertation Textversion author Kyoto University Analysis of the genome architecture of the hyperthermophilic archaeon Thermococcus kodakarensis Hugo Maruyama 要旨 ゲノム DNA は細胞内で高度に折りたたまれ、この染色体高次構造は転写・複製・染色体分 配といった機構と密接に結びついている。染色体の主要な構成タンパク質は真核生物では ヒストン、バクテリアでは HU と全く異なるが、一様な基本構造を基にゲノム DNA が階層 的に折りたたまれている点で両者の染色体構造は共通している。アーキアは真核生物・バ クテリアと並ぶ生命の第三のドメインであり、遺伝情報の発現(複製・転写・翻訳)の機 構は真核生物に、代謝経路はバクテリアに近い。アーキアには染色体を構成するタンパク 質として真核生物のヒストンに相同なもの、バクテリアの HU に相同なもの、アーキア特有 の Alba と呼ばれるタンパク質などが存在し、種によってゲノムがコードするタンパク質の 組合せが異なる。様々なアーキアのゲノムがどのような高次構造を形成しているかを明ら かにすることで、三つのドメインにわたるゲノム構造の共通性あるいは多様性を明らかに できる。本研究ではその第一歩としてヒストンを持つ超好熱性アーキア Thermococcus kodakarensis の染色体構造を解析した。 T. kodakarensis の染色体に含まれるタンパク質を質量分析により同定した結果、ヒ ストン、Alba、TK0471(TrmBL2)、 RNA ポリメラーゼ等の DNA 結合タンパク質が含まれ ることが分かった。TK0471 は転写因子 TrmB と相同な機能未知の DNA 結合タンパク質で あった。次に、染色体をミクロコッカルヌクレアーゼで部分消化した後、5%-20%のショ糖 密度勾配遠心により構成タンパク質の異なる染色体断片が分離された。原子間力顕微鏡に よる解析から、ヒストンは DNA 上に beads-on-a-string 構造を、TK0471 は線維状の構造を形 成することが示された。また大腸菌で発現させた組換えタンパク質(ヒストンおよび TK0471)を用いて同様の構造が DNA 上に再構成された。ショ糖密度勾配で分離されたそ れぞれの染色体断片に含まれる DNA 配列を超並列シークエンサーで同定した結果、ヒスト ンおよび TK0471 はゲノム上のプロモーター領域にもコーディング領域にも偏りなく存在 するが、両者の存在する領域は重複しない傾向があった。以上の結果から、T. kodakarensis の染色体上には、構成タンパク質および構造の異なる領域が存在することが明らかとなっ た。相同組換えにより TK0471 遺伝子を破壊すると染色体の DNA 消化酵素に対する感受性 が高まった。また、約 100 個の遺伝子の転写産物量が増加した。TK0471
    [Show full text]