Direct Transcriptional Reprogramming of Adult Cells to Embryonic Nephron Progenitors
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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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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). -
Supplemental Figures
A B Previously-induced Doxycycline-naïve survival (%) survival (%) Recurrence-free Recurrence-free Days following dox withdrawal Age C D Primary Recurrent ** Par-4 mRNA H2B-mCherry DAPI Primary Recurrent Supplemental Figure 1: Recurrent tumors are derived from primary tumors. A. Kaplan-Meier survival plot showing recurrent tumor-free survival in mice previously induced with doxycycline (n=30) or tumor-free survival in doxycycline-naïve mice (n=10). B. Kaplan-Meier survival plot showing recurrence-free survival following doxycycline withdrawal in a cohort of recipient mice with orthotopic tumors (n=5). C. Representative images (40x magnification) of primary and recurrent orthotopic tumors following injection of H2B-mCherry labeled primary tumor cell line #1 into recipient mice. D. qRT-PCR analysis of Par-4 transcripts from primary (n=5) and recurrent (n=5) orthotopic tumors. Significance determined by Student’s t-test. Error bars denote mean ± SEM. **p<0.01. A B 1 TWIST1 TWIST2 0.5 SNAI2 0 VIM -0.5 ZEB1 ZEB2 -1 SNAI1 PAWR Positively correlated Negatively correlated with Par-4 with Par-4 CDH1 CLDN7 CLDN4 CLDN3 KRT18 NES = -2.07335 q-value = 0.001129 KRT8 TWIST1 TWIST2 SNAI2 VIM ZEB1 ZEB2 SNAI1 PAWR CDH1 CLDN7 CLDN4 CLDN3 KRT18 KRT8 Marcotte, et al. C 1 SNAI1 0.5 TWIST1 TWIST2 0 VIM -0.5 SNAI2 -1 ZEB1 ZEB2 PAWR CDH1 KRT18 KRT8 CLDN7 CLDN3 CLDN4 SNAI1 TWIST1 TWIST2 VIM SNAI2 ZEB1 ZEB2 PAWR CDH1 KRT18 KRT8 CLDN7 CLDN3 CLDN4 TCGA, Cell 2015 Supplemental Figure 2: Par-4 expression is negatively correlated with EMT in human breast cancer. A. -
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. -
Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
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. -
CRB3 Antibody (Center) Blocking Peptide Synthetic Peptide Catalog # Bp17560c
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 CRB3 Antibody (Center) Blocking Peptide Synthetic peptide Catalog # BP17560c Specification CRB3 Antibody (Center) Blocking Peptide - CRB3 Antibody (Center) Blocking Peptide - Background Product Information This gene encodes a member of the Crumbs Primary Accession Q9BUF7 family ofproteins. This protein may play a role in epithelial cell polarityand is associated with tight junctions at the apical surface ofepithelial CRB3 Antibody (Center) Blocking Peptide - Additional Information cells. Alternate transcriptional splice variants,encoding different isoforms, have been characterized. [provided byRefSeq]. Gene ID 92359 CRB3 Antibody (Center) Blocking Peptide - Other Names References Protein crumbs homolog 3, CRB3 Pardossi-Piquard, R., et al. Biochemistry Format 46(48):13704-13710(2007)Fan, S., et al. J. Cell Peptides are lyophilized in a solid powder Biol. 178(3):387-398(2007)Fogg, V.C., et al. J. format. Peptides can be reconstituted in solution using the appropriate buffer as Cell. Sci. 118 (PT 13), 2859-2869 (2005) needed. :Lemmers, C., et al. Mol. Biol. Cell 15(3):1324-1333(2004)Roh, M.H., et al. J. Cell. Storage Sci. 116 (PT 14), 2895-2906 (2003) : Maintain refrigerated at 2-8°C for up to 6 months. For long term storage store at -20°C. Precautions This product is for research use only. Not for use in diagnostic or therapeutic procedures. CRB3 Antibody (Center) Blocking Peptide - Protein Information Name CRB3 (HGNC:20237) Function Involved in the establishment of cell polarity in mammalian epithelial cells (PubMed:<a href="http://www.uniprot.org/c itations/12771187" target="_blank">12771187</a>, PubMed:<a href="http://www.uniprot.org/ci tations/14718572" target="_blank">14718572</a>). -
Inhibition of FOXC2 Restores Epithelial Phenotype and Drug Sensitivity in Prostate Cancer Cells with Stem-Cell Properties
OPEN Oncogene (2016) 35, 5963–5976 © 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved 0950-9232/16 www.nature.com/onc ORIGINAL ARTICLE Inhibition of FOXC2 restores epithelial phenotype and drug sensitivity in prostate cancer cells with stem-cell properties AN Paranjape1,10, R Soundararajan1,10, SJ Werden1, R Joseph1, JH Taube1, H Liu1, J Rodriguez-Canales1, N Sphyris1, I Wistuba1, N Miura2, J Dhillon3, N Mahajan3, K Mahajan3, JT Chang4, M Ittmann5, SN Maity6, C Logothetis6, DG Tang7 and SA Mani1,8,9 Advanced prostate adenocarcinomas enriched in stem-cell features, as well as variant androgen receptor (AR)-negative neuroendocrine (NE)/small-cell prostate cancers are difficult to treat, and account for up to 30% of prostate cancer-related deaths every year. While existing therapies for prostate cancer such as androgen deprivation therapy (ADT), destroy the bulk of the AR- positive cells within the tumor, eradicating this population eventually leads to castration-resistance, owing to the continued survival of AR-/lo stem-like cells. In this study, we identified a critical nexus between p38MAPK signaling, and the transcription factor Forkhead Box Protein C2 (FOXC2) known to promote cancer stem-cells and metastasis. We demonstrate that prostate cancer cells that are insensitive to ADT, as well as high-grade/NE prostate tumors, are characterized by elevated FOXC2, and that targeting FOXC2 using a well-tolerated p38 inhibitor restores epithelial attributes and ADT-sensitivity, and reduces the shedding of circulating tumor cells in vivo with significant shrinkage in the tumor mass. This study thus specifies a tangible mechanism to target the AR-/lo population of prostate cancer cells with stem-cell properties. -
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).