FUNCTIONAL ANALYSIS of ODD‐SKIPPED RELATED GENES: INSIGHTS from RENAL and FIN DEVELOPMENT Ana Maria Bastos
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Osr1 Maintains Renal Progenitors and Regulates Podocyte Development by Promoting Wnt2ba Through Antagonism of Hand2
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423845; this version posted December 22, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. osr1 maintains renal progenitors and regulates podocyte development by promoting wnt2ba through antagonism of hand2 Bridgette E. Drummond1, Brooke E. Chambers1, Hannah M. Wesselman1, Marisa N. Ulrich1, Gary F. Gerlach1, Paul T. Kroeger1, Ignaty Leshchiner2, Wolfram Goessling2, and Rebecca A. Wingert1* 1Department of Biological Sciences, Center for Stem Cells and Regenerative Medicine, Center for Zebrafish Research, University of Notre Dame, Notre Dame, 46556, USA 2Brigham and Women's Hospital, Genetics and Gastroenterology Division, Harvard Medical School, Harvard Stem Cell Institute, Boston, MA 02215, USA *Corresponding author Keywords: zebrafish, kidney, nephron, podocyte, segmentation, osr1, wnt2ba, hand2 Abbreviations: chronic kidney disease (CKD), N-ethyl-N-nitrosourea (ENU), days post fertilization (dpf), hours post fertilization (hpf), whole mount in situ hybridization (WISH), flourescent in situ hybridization (FISH), immunofluorescence (IF), immunocytochemistry (ICC), intermediate mesoderm (IM), congenital anomalies of the kidney and urinary tract (CAKUT), amino acid (aa), Zebrafish International Research Center (ZIRC), capped RNA (cRNA), somite stage (ss), wild-type (WT), LIM homeobox 1a (lhx1a), paired box 2a (pax2a), wilms tumor 1a (wt1a), wilms tumor 1b (wt1b), nephrosis 1, congenital Finnish type (nephrin) (nphs1), nephrosis 2, idiopathic, steroid-resistant (podocin)(nphs2), odd-skipped related transcription factor 1 (osr1), cadherin 17 (cdh17), odd-skipped related transcription factor 2 (osr2), wingless-type MMTV integration site family, member 2Ba (wnt2ba) and wingless-type MMTV integration site family, member 2Bb (wnt2bb), heart and neural crest derivatives expressed 2 (hand2), myosin light chain (myl7). -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
UNIVERSITY of CALIFORNIA, IRVINE Combinatorial Regulation By
UNIVERSITY OF CALIFORNIA, IRVINE Combinatorial regulation by maternal transcription factors during activation of the endoderm gene regulatory network DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Biological Sciences by Kitt D. Paraiso Dissertation Committee: Professor Ken W.Y. Cho, Chair Associate Professor Olivier Cinquin Professor Thomas Schilling 2018 Chapter 4 © 2017 Elsevier Ltd. © 2018 Kitt D. Paraiso DEDICATION To the incredibly intelligent and talented people, who in one way or another, helped complete this thesis. ii TABLE OF CONTENTS Page LIST OF FIGURES vii LIST OF TABLES ix LIST OF ABBREVIATIONS X ACKNOWLEDGEMENTS xi CURRICULUM VITAE xii ABSTRACT OF THE DISSERTATION xiv CHAPTER 1: Maternal transcription factors during early endoderm formation in 1 Xenopus Transcription factors co-regulate in a cell type-specific manner 2 Otx1 is expressed in a variety of cell lineages 4 Maternal otx1 in the endodermal conteXt 5 Establishment of enhancers by maternal transcription factors 9 Uncovering the endodermal gene regulatory network 12 Zygotic genome activation and temporal control of gene eXpression 14 The role of maternal transcription factors in early development 18 References 19 CHAPTER 2: Assembly of maternal transcription factors initiates the emergence 26 of tissue-specific zygotic cis-regulatory regions Introduction 28 Identification of maternal vegetally-localized transcription factors 31 Vegt and OtX1 combinatorially regulate the endodermal 33 transcriptome iii -
Genome-Wide DNA Methylation Analysis of KRAS Mutant Cell Lines Ben Yi Tew1,5, Joel K
www.nature.com/scientificreports OPEN Genome-wide DNA methylation analysis of KRAS mutant cell lines Ben Yi Tew1,5, Joel K. Durand2,5, Kirsten L. Bryant2, Tikvah K. Hayes2, Sen Peng3, Nhan L. Tran4, Gerald C. Gooden1, David N. Buckley1, Channing J. Der2, Albert S. Baldwin2 ✉ & Bodour Salhia1 ✉ Oncogenic RAS mutations are associated with DNA methylation changes that alter gene expression to drive cancer. Recent studies suggest that DNA methylation changes may be stochastic in nature, while other groups propose distinct signaling pathways responsible for aberrant methylation. Better understanding of DNA methylation events associated with oncogenic KRAS expression could enhance therapeutic approaches. Here we analyzed the basal CpG methylation of 11 KRAS-mutant and dependent pancreatic cancer cell lines and observed strikingly similar methylation patterns. KRAS knockdown resulted in unique methylation changes with limited overlap between each cell line. In KRAS-mutant Pa16C pancreatic cancer cells, while KRAS knockdown resulted in over 8,000 diferentially methylated (DM) CpGs, treatment with the ERK1/2-selective inhibitor SCH772984 showed less than 40 DM CpGs, suggesting that ERK is not a broadly active driver of KRAS-associated DNA methylation. KRAS G12V overexpression in an isogenic lung model reveals >50,600 DM CpGs compared to non-transformed controls. In lung and pancreatic cells, gene ontology analyses of DM promoters show an enrichment for genes involved in diferentiation and development. Taken all together, KRAS-mediated DNA methylation are stochastic and independent of canonical downstream efector signaling. These epigenetically altered genes associated with KRAS expression could represent potential therapeutic targets in KRAS-driven cancer. Activating KRAS mutations can be found in nearly 25 percent of all cancers1. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Single Cell Regulatory Landscape of the Mouse Kidney Highlights Cellular Differentiation Programs and Disease Targets
ARTICLE https://doi.org/10.1038/s41467-021-22266-1 OPEN Single cell regulatory landscape of the mouse kidney highlights cellular differentiation programs and disease targets Zhen Miao 1,2,3,8, Michael S. Balzer 1,2,8, Ziyuan Ma 1,2,8, Hongbo Liu1,2, Junnan Wu 1,2, Rojesh Shrestha 1,2, Tamas Aranyi1,2, Amy Kwan4, Ayano Kondo 4, Marco Pontoglio 5, Junhyong Kim6, ✉ Mingyao Li 7, Klaus H. Kaestner2,4 & Katalin Susztak 1,2,4 1234567890():,; Determining the epigenetic program that generates unique cell types in the kidney is critical for understanding cell-type heterogeneity during tissue homeostasis and injury response. Here, we profile open chromatin and gene expression in developing and adult mouse kidneys at single cell resolution. We show critical reliance of gene expression on distal regulatory elements (enhancers). We reveal key cell type-specific transcription factors and major gene- regulatory circuits for kidney cells. Dynamic chromatin and expression changes during nephron progenitor differentiation demonstrates that podocyte commitment occurs early and is associated with sustained Foxl1 expression. Renal tubule cells follow a more complex differentiation, where Hfn4a is associated with proximal and Tfap2b with distal fate. Mapping single nucleotide variants associated with human kidney disease implicates critical cell types, developmental stages, genes, and regulatory mechanisms. The single cell multi-omics atlas reveals key chromatin remodeling events and gene expression dynamics associated with kidney development. 1 Renal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA. 2 Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA. -
Histone Deacetylases 1 and 2 Regulate the Transcriptional Programs Of
© 2018. Published by The Company of Biologists Ltd | Development (2018) 145, dev153619. doi:10.1242/dev.153619 STEM CELLS AND REGENERATION RESEARCH ARTICLE Histone deacetylases 1 and 2 regulate the transcriptional programs of nephron progenitors and renal vesicles Hongbing Liu*, Shaowei Chen, Xiao Yao, Yuwen Li, Chao-Hui Chen, Jiao Liu, Zubaida Saifudeen and Samir S. El-Dahr ABSTRACT Six2, a homeodomain transcription factor, is a key factor within Nephron progenitor cells (NPCs) are Six2-positive metanephric the kidney metanephric mesenchyme that maintains the NPC pool mesenchyme cells, which undergo self-renewal and differentiation (Kobayashi et al., 2008; Self et al., 2006). In Six2 null mice, ectopic to give rise to nephrons until the end of nephrogenesis. Histone renal vesicles (the earliest epithelialized forms of nascent nephrons) deacetylases (HDACs) are a group of epigenetic regulators that develop at the onset of nephrogenesis and the progenitor pool is – control cell fate, but their role in balancing NPC renewal and rapidly lost (Self et al., 2006). Many transcriptional regulators differentiation is unknown. Here, we report that NPC-specific such as Osr1, WT1 and Sall1/Mi-2b (Chd4)/nucleosome deletion of Hdac1 and Hdac2 genes in mice results in early remodeling and deacetylase (NuRD), which function to maintain – postnatal lethality owing to renal hypodysplasia and loss of NPCs. the NPC pool display genetic interactions with Six2 (Basta et al., HDAC1/2 interact with the NPC renewal regulators Six2, Osr1 and 2014; Denner and Rauchman, 2013; Hartwig et al., 2010; Kanda Sall1, and are co-bound along with Six2 on the Six2 enhancer. et al., 2014; Xu et al., 2014). -
Downloaded Is Properly from Bioscientifica.Com Cited
291 Effects of FSH on testicular mRNA transcript levels in the hypogonadal mouse M H Abel, D Baban, S Lee, H M Charlton and P J O’Shaughnessy1 Department of Physiology, Anatomy and Genetics, University of Oxford, Le Gros Clarke Building, Oxford OX1 3QX, UK 1Institute of Comparative Medicine, University of Glasgow Veterinary School, Bearsden Road, Glasgow G61 1QH, UK (Correspondence should be addressed to P J O’Shaughnessy; Email: [email protected]) (D Baban is now at Genomics Group, The Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK) Abstract FSH acts through the Sertoli cell to ensure normal testicular development and function. To identify transcriptional mechanisms through which FSH acts in the testis, we have treated gonadotrophin-deficient hypogonadal (hpg) mice with recombinant FSH and measured changes in testicular transcript levels using microarrays and real-time PCR 12, 24 and 72 h after the start of treatment. Approximately 400 transcripts were significantly altered at each time point by FSH treatment. At 12 h, there was a clear increase in the levels of a number of known Sertoli cell transcripts (e.g. Fabp5, Lgals1, Tesc, Scara5, Aqp5). Additionally, levels of Leydig cell transcripts were also markedly increased (e.g. Ren1, Cyp17a1, Akr1b7, Star, Nr4a1). This was associated with a small but significant rise in testosterone at 24 and 72 h. At 24 h, androgen-dependent Sertoli cell transcripts were up-regulated (e.g. Rhox5, Drd4, Spinlw1, Tubb3 and Tsx) and this trend continued up to 72 h. By contrast with the somatic cells, only five germ cell transcripts (Dkkl1, Hdc, Pou5f1, Zfp541 and 1700021K02Rik) were altered by FSH within the time-course of the experiment. -
“The Interplay of Central and Peripheral Circadian Clocks in White Adipose Function and Metabolic Homeostasis”
From the Institute of Neurobiology of the University of Lübeck Director: Prof. Dr. rer. nat. H. Oster “The interplay of central and peripheral circadian clocks in white adipose function and metabolic homeostasis” Dissertation for Fulfillment of Requirements for the Doctoral Degree of the University of Lübeck from the Department of Natural Sciences Submitted by Isa Kolbe from Geesthacht, Germany Lübeck 2017 1 First referee: Prof. Dr. rer. nat. Henrik Oster Second referee: Prof. Dr. rer. nat. Stefan Anemüller Date of oral examination: 13. Oktober 2017 Approved for printing. Lübeck, 24. Oktober 2017 2 Declaration Herewith, I confirm that I have written the present PhD thesis independently and with no other sources and aids than quoted. Lübeck, Mai 2017 Isa Kolbe 3 “Zeit. Es gibt Kalender und Uhren, um sie zu messen, aber das will wenig besagen, denn jeder weiß, dass einem eine einzige Stunde wie eine Ewigkeit vorkommen kann, mitunter kann sie aber auch wie in einem Augenblick vergehen – je nachdem, was man in dieser Stunde erlebt. Denn Zeit ist Leben” Michael Ende 4 Contents Summary ........................................................................................................................................ 8 Zusammenfassung ..................................................................................................................... 10 Abbreviations ............................................................................................................................... 12 1 Introduction .............................................................................................................................. -
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Breeze et al. Genome Medicine (2021) 13:74 https://doi.org/10.1186/s13073-021-00877-z RESEARCH Open Access Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci Charles E. Breeze1,2,3* , Anna Batorsky4, Mi Kyeong Lee5, Mindy D. Szeto6, Xiaoguang Xu7, Daniel L. McCartney8, Rong Jiang9, Amit Patki10, Holly J. Kramer11,12, James M. Eales7, Laura Raffield13, Leslie Lange6, Ethan Lange6, Peter Durda14, Yongmei Liu15, Russ P. Tracy14,16, David Van Den Berg17, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed MESA Multi-Omics Working Group, Kathryn L. Evans8, William E. Kraus15,18, Svati Shah15,18, Hermant K. Tiwari10, Lifang Hou19,20, Eric A. Whitsel21,22, Xiao Jiang7, Fadi J. Charchar23,24,25, Andrea A. Baccarelli26, Stephen S. Rich27, Andrew P. Morris28, Marguerite R. Irvin29, Donna K. Arnett30, Elizabeth R. Hauser15,31, Jerome I. Rotter32, Adolfo Correa33, Caroline Hayward34, Steve Horvath35,36, Riccardo E. Marioni8, Maciej Tomaszewski7,37, Stephan Beck2, Sonja I. Berndt1, Stephanie J. London5, Josyf C. Mychaleckyj27 and Nora Franceschini21* Abstract Background: DNA methylation (DNAm) is associated with gene regulation and estimated glomerular filtration rate (eGFR), a measure of kidney function. Decreased eGFR is more common among US Hispanics and African Americans. The causes for this are poorly understood. We aimed to identify trans-ethnic and ethnic-specific differentially methylated positions (DMPs) associated with eGFR using an agnostic, genome-wide approach. Methods: The study included up to 5428 participants from multi-ethnic studies for discovery and 8109 participants for replication. We tested the associations between whole blood DNAm and eGFR using beta values from Illumina 450K or EPIC arrays. -
Application of Microrna Database Mining in Biomarker Discovery and Identification of Therapeutic Targets for Complex Disease
Article Application of microRNA Database Mining in Biomarker Discovery and Identification of Therapeutic Targets for Complex Disease Jennifer L. Major, Rushita A. Bagchi * and Julie Pires da Silva * Department of Medicine, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; [email protected] * Correspondence: [email protected] (R.A.B.); [email protected] (J.P.d.S.) Supplementary Tables Methods Protoc. 2021, 4, 5. https://doi.org/10.3390/mps4010005 www.mdpi.com/journal/mps Methods Protoc. 2021, 4, 5. https://doi.org/10.3390/mps4010005 2 of 25 Table 1. List of all hsa-miRs identified by Human microRNA Disease Database (HMDD; v3.2) analysis. hsa-miRs were identified using the term “genetics” and “circulating” as input in HMDD. Targets CAD hsa-miR-1 Targets IR injury hsa-miR-423 Targets Obesity hsa-miR-499 hsa-miR-146a Circulating Obesity Genetics CAD hsa-miR-423 hsa-miR-146a Circulating CAD hsa-miR-149 hsa-miR-499 Circulating IR Injury hsa-miR-146a Circulating Obesity hsa-miR-122 Genetics Stroke Circulating CAD hsa-miR-122 Circulating Stroke hsa-miR-122 Genetics Obesity Circulating Stroke hsa-miR-26b hsa-miR-17 hsa-miR-223 Targets CAD hsa-miR-340 hsa-miR-34a hsa-miR-92a hsa-miR-126 Circulating Obesity Targets IR injury hsa-miR-21 hsa-miR-423 hsa-miR-126 hsa-miR-143 Targets Obesity hsa-miR-21 hsa-miR-223 hsa-miR-34a hsa-miR-17 Targets CAD hsa-miR-223 hsa-miR-92a hsa-miR-126 Targets IR injury hsa-miR-155 hsa-miR-21 Circulating CAD hsa-miR-126 hsa-miR-145 hsa-miR-21 Targets Obesity hsa-mir-223 hsa-mir-499 hsa-mir-574 Targets IR injury hsa-mir-21 Circulating IR injury Targets Obesity hsa-mir-21 Targets CAD hsa-mir-22 hsa-mir-133a Targets IR injury hsa-mir-155 hsa-mir-21 Circulating Stroke hsa-mir-145 hsa-mir-146b Targets Obesity hsa-mir-21 hsa-mir-29b Methods Protoc. -
Highly Multiplexed Spatially Resolved Gene Expression Profiling of Mouse Organogenesis
bioRxiv preprint doi: https://doi.org/10.1101/2020.11.20.391896; this version posted November 21, 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. Highly multiplexed spatially resolved gene expression profiling of mouse organogenesis T. Lohoff1,2,3*, S. Ghazanfar4*, A. Missarova4,5‡, N. Koulena6‡, N. Pierson6‡, J.A. Griffiths4^, E.S. Bardot7, C.-H.L. Eng6, R.C.V. Tyser8, R. Argelaguet5, C. Guibentif1,9,10, S. Srinivas8, J. Briscoe11, B.D. Simons1,12,13, A.-K. Hadjantonakis7, B. Göttgens1,9, W. Reik1,3,14,15†, J. Nichols1,2†, L. Cai6†, J.C. Marioni4,5,15†* 1 Wellcome-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK 2 Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK 3 Epigenetics Programme, Babraham Institute, Cambridge, UK 4 Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK 5 European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK 6 Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA 7 Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA 8 Department of Physiology Anatomy and Genetics, University of Oxford, Oxford, UK 9 Department of Haematology, University of