Regulation of the Human Vascular Smooth Muscle Cell Transcriptome by Extracellular Matrix Stiffness
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
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. -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells. -
Contribution of Enhancer-Driven and Master-Regulator Genes to Autoimmune Disease Revealed Using Functionally Informed SNP-To-Gene Linking Strategies Kushal K
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.02.279059; this version posted March 31, 2021. 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. Contribution of enhancer-driven and master-regulator genes to autoimmune disease revealed using functionally informed SNP-to-gene linking strategies Kushal K. Dey1, Steven Gazal1, Bryce van de Geijn 1,3, Samuel Sungil Kim 1,4, Joseph Nasser5, Jesse M. Engreitz5, Alkes L. Price 1,2,5 1 Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA 2 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 3 Genentech, South San Francisco, CA 4 Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 5 Broad Institute of MIT and Harvard, Cambridge, MA, USA Abstract Gene regulation is known to play a fundamental role in human disease, but mechanisms of regulation vary greatly across genes. Here, we explore the con- tributions to disease of two types of genes: genes whose regulation is driven by enhancer regions as opposed to promoter regions (Enhancer-driven) and genes that regulate many other genes in trans (Master-regulator). We link these genes to SNPs using a comprehensive set of SNP-to-gene (S2G) strategies and apply stratified LD score regression to the resulting SNP annotations to draw three main conclusions about 11 autoimmune diseases and blood cell traits (average Ncase=13K across 6 autoimmune diseases, average N=443K across 5 blood cell traits). -
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. -
Accompanies CD8 T Cell Effector Function Global DNA Methylation
Global DNA Methylation Remodeling Accompanies CD8 T Cell Effector Function Christopher D. Scharer, Benjamin G. Barwick, Benjamin A. Youngblood, Rafi Ahmed and Jeremy M. Boss This information is current as of October 1, 2021. J Immunol 2013; 191:3419-3429; Prepublished online 16 August 2013; doi: 10.4049/jimmunol.1301395 http://www.jimmunol.org/content/191/6/3419 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2013/08/20/jimmunol.130139 Material 5.DC1 References This article cites 81 articles, 25 of which you can access for free at: http://www.jimmunol.org/content/191/6/3419.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on October 1, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2013 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Global DNA Methylation Remodeling Accompanies CD8 T Cell Effector Function Christopher D. Scharer,* Benjamin G. Barwick,* Benjamin A. Youngblood,*,† Rafi Ahmed,*,† and Jeremy M. -
Negative Regulators of Colonic Peripheral Regulatory T Cell Development Teresa Lei Ai Washington University in St
Washington University in St. Louis Washington University Open Scholarship Arts & Sciences Electronic Theses and Dissertations Arts & Sciences Spring 5-15-2018 Negative Regulators of Colonic Peripheral Regulatory T Cell Development Teresa Lei Ai Washington University in St. Louis Follow this and additional works at: https://openscholarship.wustl.edu/art_sci_etds Part of the Allergy and Immunology Commons, Immunology and Infectious Disease Commons, and the Medical Immunology Commons Recommended Citation Ai, Teresa Lei, "Negative Regulators of Colonic Peripheral Regulatory T Cell Development" (2018). Arts & Sciences Electronic Theses and Dissertations. 1509. https://openscholarship.wustl.edu/art_sci_etds/1509 This Dissertation is brought to you for free and open access by the Arts & Sciences at Washington University Open Scholarship. It has been accepted for inclusion in Arts & Sciences Electronic Theses and Dissertations by an authorized administrator of Washington University Open Scholarship. For more information, please contact [email protected]. WASHINGTON UNIVERSITY IN ST. LOUIS Division of Biology and Biomedical Sciences Immunology Dissertation Examination Committee: Chyi-Song Hsieh, Chair Paul M. Allen Kenneth M. Murphy Gwendalyn J. Randolph Wayne M. Yokoyama Negative Regulators of Colonic Peripheral Regulatory T Cell Development By Teresa Lei Ai A dissertation presented to The Graduate School of Washington University in partial fulfillment of the requirements for the degree of Doctor of Philosophy May 2018 St. Louis, Missouri -
Evolutionarily Conserved Tbx5–Wnt2/2B Pathway Orchestrates Cardiopulmonary Development
Evolutionarily conserved Tbx5–Wnt2/2b pathway orchestrates cardiopulmonary development Jeffrey D. Steimlea,b,c, Scott A. Rankind,e,f,g, Christopher E. Slagleh,i,j,k, Jenna Bekenya,b,c, Ariel B. Rydeena,b,c, Sunny Sun-Kin Chanl,m, Junghun Kweona,b,c, Xinan H. Yanga,b,c, Kohta Ikegamia,b,c, Rangarajan D. Nadadura,b,c, Megan Rowtona,b,c, Andrew D. Hoffmanna,b,c, Sonja Lazarevica,b,c, William Thomasn,o, Erin A. T. Boyle Andersonp, Marko E. Horbn,o, Luis Luna-Zuritaq,r, Robert K. Hom, Michael Kybal,m, Bjarke Jensens, Aaron M. Zornd,e,f,g, Frank L. Conlonh,i,j,k, and Ivan P. Moskowitza,b,c,1 aDepartment of Pediatrics, University of Chicago, Chicago, IL 60637; bDepartment of Pathology, University of Chicago, Chicago, IL 60637; cDepartment of Human Genetics, University of Chicago, Chicago, IL 60637; dCenter for Stem Cell and Organoid Medicine, Cincinnati Children’s Research Foundation, Cincinnati, OH 45229; eDepartment of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH 45229; fDivision of Developmental Biology, Perinatal Institute, Cincinnati Children’s Research Foundation, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229; gDepartment of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH 45229; hDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599; iDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599; jIntegrative Program for Biological and Genome Sciences, University of North -
The Role of Tbx5 in Sinoatrial Node Differentiation in Mouse Embryonic Stem Cell Derived Cardiomyocytes Yunkai Dai Clemson University, [email protected]
Clemson University TigerPrints All Dissertations Dissertations May 2019 The Role of Tbx5 in Sinoatrial Node Differentiation in Mouse Embryonic Stem Cell Derived Cardiomyocytes Yunkai Dai Clemson University, [email protected] Follow this and additional works at: https://tigerprints.clemson.edu/all_dissertations Recommended Citation Dai, Yunkai, "The Role of Tbx5 in Sinoatrial Node Differentiation in Mouse Embryonic Stem Cell Derived Cardiomyocytes" (2019). All Dissertations. 2377. https://tigerprints.clemson.edu/all_dissertations/2377 This Dissertation is brought to you for free and open access by the Dissertations at TigerPrints. It has been accepted for inclusion in All Dissertations by an authorized administrator of TigerPrints. For more information, please contact [email protected]. THE ROLE OF TBX5 IN SINOATRIAL NODE DIFFERENTIATION IN MOUSE EMBRYONIC STEM CELL DERIVED CARDIOMYOCYTES A Dissertation Presented to the Graduate School of Clemson University In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Bioengineering by Yunkai Dai May 2019 Accepted by: Dr Ann Foley, Committee Chair Dr Agneta Simionescu Dr Robin C. Muise-Helmericks Dr Ying Mei ABSTRACT The sinoatrial node of the mouse embryo arises from the wall of the right atrium near the border of the sinus venosus. Early in development this region expresses the transcription factor Tbx5. Because of this, Tbx5 is thought to sit at the apex of a transcriptional cascade leading to sinoatrial node (SAN) differentiation. To test this we produced a mouse embryonic stem cell line B1 (pTripZ-mTbx5; αMHC::GFP) that conditionally overexpresses Tbx5, to determine if this would lead to enhanced SAN differentiation. We found that ES cells overexpressing Tbx5 showed enhanced overall cardiac differentiation and that cardiac cells showed increased beat rates as compared control embryos. -
SUPPLEMENTAL FIGURE LEGENDS Supplemental Figure S1. RBPJ
Xie et al. SUPPLEMENTAL FIGURE LEGENDS Supplemental Figure S1. RBPJ correlates with BTIC marker expression. A-D. The TCGA GBM dataset was downloaded and correlations analyzed by R. RBPJ mRNA levels were highly correlated with (A) Olig2, (B) Sox2, (C) CD133, and (D) Sox4 levels. E. RBPJ is preferentially expressed in proneural glioblastomas. The glioblastoma TCGA dataset was interrogated for RBPJ mRNA expression segregated by transcriptional profile. The proneural tumors were further divided into G-CIMP (glioma CpG-island methylator phenotype) or non-G-CIMP. **, p < 0.01. ****, p < 0.0001. *****, p < 0.00001. Supplemental Figure S2. Targeting RBPJ induces BTIC apoptosis. A. 3691 BTICs were transduced with shCONT, shRBPJ-1, or shRBPJ-2. Lysates were prepared and immunoblotted with the indicated antibodies. shRNA-mediated knockdown of RBPJ was associated with increased cleaved (activated) PARP. B. 3691 BTICs were transduced with shCONT, shRBPJ-1, or shRBPJ-2. Apoptosis measured by Annexin V staining. Data are presented as mean ± SEM (two- way ANOVA; **, p < 0.01; n = 3). Supplemental Figure S3. Targeting RBPJ does not affect non-BTIC proliferation. Non-BTICs (Top, 3691; Bottom, 4121) were transduced with shCONT, shRBPJ-1, or shRBPJ-2. Cell proliferation was measured by CellTiter-Glo. 42 Xie et al. Supplemental Figure S4. RBPJ induces transcriptional profiles in BTICs distinct from Notch activation. A. In parallel experiments, 3691 BTICs were either treated with DAPT (at either 5 μM or 10 μM) vs. vehicle control (DMSO) or transduced with shRBPJ vs. shCONT. RNA-Seq was performed and the results displayed as a heat map with normalization to the relevant control. -
SOX4 Is Activated by C-MYC in Prostate Cancer
Medical Oncology (2019) 36:92 https://doi.org/10.1007/s12032-019-1317-6 ORIGINAL PAPER SOX4 is activated by C‑MYC in prostate cancer Hongyan Dong1,2 · Jing Hu1 · Lin Wang3 · Mei Qi1 · Ning Lu1 · Xiao Tan2 · Muyi Yang1 · Xinnuo Bai4 · Xuemei Zhan2 · Bo Han1,5 Received: 26 July 2019 / Accepted: 12 September 2019 / Published online: 27 September 2019 © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Although MYC proto-oncogene (C-MYC) amplifcation has been consistently reported to be a potential marker for prostate cancer (PCa) progression and prognosis, the clinicopathological and prognostic signifcance of C-MYC protein expression remains controversial. Overexpression of SOX4 has been shown to play important roles in multiple cancers including PCa. However, the link between these two critical genetic aberrations is unclear. In the current study, we showed that C-MYC was overexpressed in 16.2% (17/105) of Chinese patients with localized PCa. Overexpression of C-MYC was signifcantly associated with high Gleason scores (P = 0.012) and high Ki67 labeling index (P = 0.005). C-MYC overexpression was cor- related with cancer-related mortality and suggested to be an unfavorable prognostic factor in Chinese PCa patients (P = 0.018). Overexpression of C-MYC is associated with SOX4 overexpression in PCa tissues. Notably, SOX4 is a direct target gene of C-MYC; C-MYC activates SOX4 expression via binding to its promoter. In addition, Co-IP analysis demonstrated a physi- cal interaction between C-MYC and SOX4 protein in PCa cells. Clinically, C-MYC+/SOX4+ characterized poor prognosis in a subset of PCa patients. -
Transcription Factor Gene Expression Profiling and Analysis of SOX Gene Family Transcription Factors in Human Limbal Epithelial
Transcription factor gene expression profiling and analysis of SOX gene family transcription factors in human limbal epithelial progenitor cells Der Naturwissenschaftlichen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg zur Erlangung des Doktorgrades Dr. rer. nat. vorgelegt von Dr. med. Johannes Menzel-Severing aus Bonn Als Dissertation genehmigt von der Naturwissenschaftlichen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg Tag der mündlichen Prüfung: 7. Februar 2018 Vorsitzender des Promotionsorgans: Prof. Dr. Georg Kreimer Gutachter: Prof. Dr. Andreas Feigenspan Prof. Dr. Ursula Schlötzer-Schrehardt 1 INDEX 1. ABSTRACTS Page 1.1. Abstract in English 4 1.2. Zusammenfassung auf Deutsch 7 2. INTRODUCTION 2.1. Anatomy and histology of the cornea and the corneal surface 11 2.2. Homeostasis of corneal epithelium and the limbal stem cell paradigm 13 2.3. The limbal stem cell niche 15 2.4. Cell therapeutic strategies in ocular surface disease 17 2.5. Alternative cell sources for transplantation to the corneal surface 18 2.6. Transcription factors in cell differentiation and reprogramming 21 2.7. Transcription factors in limbal epithelial cells 22 2.8. Research question 25 3. MATERIALS AND METHODS 3.1. Human donor corneas 27 3.2. Laser Capture Microdissection (LCM) 28 3.3. RNA amplification and RT2 profiler PCR arrays 29 3.4. Real-time PCR analysis 33 3.5. Immunohistochemistry 34 3.6. Limbal epithelial cell culture 38 3.7. Transcription-factor knockdown/overexpression in vitro 39 3.8. Proliferation assay 40 3.9. Western blot 40 3.10. Statistical analysis 41 2 4. RESULTS 4.1. Quality control of LCM-isolated and amplified RNA 42 4.2.