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Identification of GA-Binding Protein Transcription Factor Alpha Subunit
International Journal of Molecular Sciences Article Identification of GA-Binding Protein Transcription Factor Alpha Subunit (GABPA) as a Novel Bookmarking Factor Shunya Goto 1, Masashi Takahashi 1, Narumi Yasutsune 1, Sumiki Inayama 1, Dai Kato 2, Masashi Fukuoka 3, Shu-ichiro Kashiwaba 1 and Yasufumi Murakami 1,2,* 1 Department of Biological Science and Technology, Faculty of Industrial Science and Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan; [email protected] (S.G.); [email protected] (M.T.); [email protected] (N.Y.); [email protected] (S.I.); [email protected] (S.K.) 2 Order-MadeMedical Research Inc., 208Todai-Kashiwa VP, 5-4-19 Kashiwanoha, Kashiwa-shi, Chiba-ken 277-0882, Japan; [email protected] 3 Department of Molecular Pharmacology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8551, Japan; [email protected] * Correspondence: [email protected]; Tel.: +81-3-5876-1717 (ext. 1919); Fax: +81-3-5876-1470 Received: 7 February 2019; Accepted: 27 February 2019; Published: 4 March 2019 Abstract: Mitotic bookmarking constitutes a mechanism for transmitting transcriptional patterns through cell division. Bookmarking factors, comprising a subset of transcription factors (TFs), and multiple histone modifications retained in mitotic chromatin facilitate reactivation of transcription in the early G1 phase. However, the specific TFs that act as bookmarking factors remain largely unknown. Previously, we identified the “early G1 genes” and screened TFs that were predicted to bind to the upstream region of these genes, then identified GA-binding protein transcription factor alpha subunit (GABPA) and Sp1 transcription factor (SP1) as candidate bookmarking factors. -
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. -
GABPA Is a Master Regulator of Luminal Identity and Restrains Aggressive Diseases in Bladder Cancer
Cell Death & Differentiation (2020) 27:1862–1877 https://doi.org/10.1038/s41418-019-0466-7 ARTICLE GABPA is a master regulator of luminal identity and restrains aggressive diseases in bladder cancer 1,2,3 3,4 5 2,5 5 3 5 5 Yanxia Guo ● Xiaotian Yuan ● Kailin Li ● Mingkai Dai ● Lu Zhang ● Yujiao Wu ● Chao Sun ● Yuan Chen ● 5 6 3 1,2 1,2 3,7 Guanghui Cheng ● Cheng Liu ● Klas Strååt ● Feng Kong ● Shengtian Zhao ● Magnus Bjorkhölm ● Dawei Xu 3,7 Received: 3 June 2019 / Revised: 20 November 2019 / Accepted: 21 November 2019 / Published online: 4 December 2019 © The Author(s) 2019. This article is published with open access Abstract TERT promoter mutations occur in the majority of glioblastoma, bladder cancer (BC), and other malignancies while the ETS family transcription factors GABPA and its partner GABPB1 activate the mutant TERT promoter and telomerase in these tumors. GABPA depletion or the disruption of the GABPA/GABPB1 complex by knocking down GABPB1 was shown to inhibit telomerase, thereby eliminating the tumorigenic potential of glioblastoma cells. GABPA/B1 is thus suggested as a cancer therapeutic target. However, it is unclear about its role in BC. Here we unexpectedly observed that GABPA ablation 1234567890();,: 1234567890();,: inhibited TERT expression, but robustly increased proliferation, stem, and invasive phenotypes and cisplatin resistance in BC cells, while its overexpression exhibited opposite effects, and inhibited in vivo metastasizing in a xenograft transplant model. Mechanistically, GABPA directly activates the transcription of FoxA1 and GATA3, key transcription factors driving luminal differentiation of urothelial cells. Consistently, TCGA/GEO dataset analyses show that GABPA expression is correlated positively with luminal while negatively with basal signatures. -
Distinct Contributions of DNA Methylation and Histone Acetylation to the Genomic Occupancy of Transcription Factors
Downloaded from genome.cshlp.org on October 8, 2021 - Published by Cold Spring Harbor Laboratory Press Research Distinct contributions of DNA methylation and histone acetylation to the genomic occupancy of transcription factors Martin Cusack,1 Hamish W. King,2 Paolo Spingardi,1 Benedikt M. Kessler,3 Robert J. Klose,2 and Skirmantas Kriaucionis1 1Ludwig Institute for Cancer Research, University of Oxford, Oxford, OX3 7DQ, United Kingdom; 2Department of Biochemistry, University of Oxford, Oxford, OX1 3QU, United Kingdom; 3Target Discovery Institute, University of Oxford, Oxford, OX3 7FZ, United Kingdom Epigenetic modifications on chromatin play important roles in regulating gene expression. Although chromatin states are often governed by multilayered structure, how individual pathways contribute to gene expression remains poorly under- stood. For example, DNA methylation is known to regulate transcription factor binding but also to recruit methyl-CpG binding proteins that affect chromatin structure through the activity of histone deacetylase complexes (HDACs). Both of these mechanisms can potentially affect gene expression, but the importance of each, and whether these activities are inte- grated to achieve appropriate gene regulation, remains largely unknown. To address this important question, we measured gene expression, chromatin accessibility, and transcription factor occupancy in wild-type or DNA methylation-deficient mouse embryonic stem cells following HDAC inhibition. We observe widespread increases in chromatin accessibility at ret- rotransposons when HDACs are inhibited, and this is magnified when cells also lack DNA methylation. A subset of these elements has elevated binding of the YY1 and GABPA transcription factors and increased expression. The pronounced ad- ditive effect of HDAC inhibition in DNA methylation–deficient cells demonstrates that DNA methylation and histone deacetylation act largely independently to suppress transcription factor binding and gene expression. -
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. -
Ten Commandments for a Good Scientist
Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds Ana María Sotoca Covaleda Wageningen 2010 Thesis committee Thesis supervisors Prof. dr. ir. Ivonne M.C.M. Rietjens Professor of Toxicology Wageningen University Prof. dr. Albertinka J. Murk Personal chair at the sub-department of Toxicology Wageningen University Thesis co-supervisor Dr. ir. Jacques J.M. Vervoort Associate professor at the Laboratory of Biochemistry Wageningen University Other members Prof. dr. Michael R. Muller, Wageningen University Prof. dr. ir. Huub F.J. Savelkoul, Wageningen University Prof. dr. Everardus J. van Zoelen, Radboud University Nijmegen Dr. ir. Toine F.H. Bovee, RIKILT, Wageningen This research was conducted under the auspices of the Graduate School VLAG Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds Ana María Sotoca Covaleda Thesis submitted in fulfillment of the requirements for the degree of doctor at Wageningen University by the authority of the Rector Magnificus Prof. dr. M.J. Kropff, in the presence of the Thesis Committee appointed by the Academic Board to be defended in public on Tuesday 14 September 2010 at 4 p.m. in the Aula Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds. Ana María Sotoca Covaleda Thesis Wageningen University, Wageningen, The Netherlands, 2010, With references, and with summary in Dutch. ISBN: 978-90-8585-707-5 “Caminante no hay camino, se hace camino al andar. Al andar se hace camino, y al volver la vista atrás se ve la senda que nunca se ha de volver a pisar” - Antonio Machado – A mi madre. -
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. -
SUPPLEMENTARY MATERIAL Bone Morphogenetic Protein 4 Promotes
www.intjdevbiol.com doi: 10.1387/ijdb.160040mk SUPPLEMENTARY MATERIAL corresponding to: Bone morphogenetic protein 4 promotes craniofacial neural crest induction from human pluripotent stem cells SUMIYO MIMURA, MIKA SUGA, KAORI OKADA, MASAKI KINEHARA, HIROKI NIKAWA and MIHO K. FURUE* *Address correspondence to: Miho Kusuda Furue. Laboratory of Stem Cell Cultures, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki, Osaka 567-0085, Japan. Tel: 81-72-641-9819. Fax: 81-72-641-9812. E-mail: [email protected] Full text for this paper is available at: http://dx.doi.org/10.1387/ijdb.160040mk TABLE S1 PRIMER LIST FOR QRT-PCR Gene forward reverse AP2α AATTTCTCAACCGACAACATT ATCTGTTTTGTAGCCAGGAGC CDX2 CTGGAGCTGGAGAAGGAGTTTC ATTTTAACCTGCCTCTCAGAGAGC DLX1 AGTTTGCAGTTGCAGGCTTT CCCTGCTTCATCAGCTTCTT FOXD3 CAGCGGTTCGGCGGGAGG TGAGTGAGAGGTTGTGGCGGATG GAPDH CAAAGTTGTCATGGATGACC CCATGGAGAAGGCTGGGG MSX1 GGATCAGACTTCGGAGAGTGAACT GCCTTCCCTTTAACCCTCACA NANOG TGAACCTCAGCTACAAACAG TGGTGGTAGGAAGAGTAAAG OCT4 GACAGGGGGAGGGGAGGAGCTAGG CTTCCCTCCAACCAGTTGCCCCAAA PAX3 TTGCAATGGCCTCTCAC AGGGGAGAGCGCGTAATC PAX6 GTCCATCTTTGCTTGGGAAA TAGCCAGGTTGCGAAGAACT p75 TCATCCCTGTCTATTGCTCCA TGTTCTGCTTGCAGCTGTTC SOX9 AATGGAGCAGCGAAATCAAC CAGAGAGATTTAGCACACTGATC SOX10 GACCAGTACCCGCACCTG CGCTTGTCACTTTCGTTCAG Suppl. Fig. S1. Comparison of the gene expression profiles of the ES cells and the cells induced by NC and NC-B condition. Scatter plots compares the normalized expression of every gene on the array (refer to Table S3). The central line -
Estrogen-Related Receptor Α (Errα) : a Novel Target in Type 2 Diabetes
Institutional Repository of the University of Basel University Library Schoenbeinstrasse 18-20 CH-4056 Basel, Switzerland http://edoc.unibas.ch/ Year: 2005 Estrogen-related receptor α (ERRα) : a novel target in type 2 diabetes Handschin, C. and Mootha, V. K. Posted at edoc, University of Basel Official URL: http://edoc.unibas.ch/dok/A5258721 Originally published as: Handschin, C. and Mootha, V. K.. (2005) Estrogen-related receptor α (ERRα) : a novel target in type 2 diabetes. Drug discovery today. Therapeutic strategies, Vol. 2, H. 2. S. 151-156. Estrogen-related receptor (ERR): a novel target in type 2 diabetes Christoph Handschin1,3 and Vamsi K. Mootha2 1Dana-Farber Cancer Institute and Department of Cell Biology, Harvard Medical School, One Jimmy Fund Way, Boston, MA 02115, USA 2Departments of Systems Biology and of Medicine, Harvard Medical School, Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA Published in Drug Discovery Today: Therapeutic Strategies 2005 Volume 2, Issue 2, Pages 93-176. DOI: 10.1016/j.ddstr.2005.05.001 Copyright © Elsevier, Drug Discovery Today: Therapeutic Strategies - 1 - Estrogen-related receptor (ERR): a novel target in type 2 diabetes Christoph Handschin1,3 and Vamsi K. Mootha2 1Dana-Farber Cancer Institute and Department of Cell Biology, Harvard Medical School, One Jimmy Fund Way, Boston, MA 02115, USA 2Departments of Systems Biology and of Medicine, Harvard Medical School, Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA 3Correspondence: Phone: +1 617 632 3305; Fax: +1 617 632 5363; Email: [email protected] (Christoph Handschin) - 2 - Abstract Recent studies have shown that reduced mitochondrial content and function in skeletal muscle are common features of type 2 diabetes. -
Supplemental Table 1. Primers and Probes for RT-Pcrs
Supplemental Table 1. Primers and probes for RT-PCRs Gene Direction Sequence Quantitative RT-PCR E2F1 Forward Primer 5’-GGA TTT CAC ACC TTT TCC TGG AT-3’ Reverse Primer 5’-CCT GGA AAC TGA CCA TCA GTA CCT-3’ Probe 5’-FAM-CGA GCT GGC CCA CTG CTC TCG-TAMRA-3' E2F2 Forward Primer 5'-TCC CAA TCC CCT CCA GAT C-3' Reverse Primer 5'-CAA GTT GTG CGA TGC CTG C-3' Probe 5' -FAM-TCC TTT TGG CCG GCA GCC G-TAMRA-3' E2F3a Forward Primer 5’-TTT AAA CCA TCT GAG AGG TAC TGA TGA-3’ Reverse Primer 5’-CGG CCC TCC GGC AA-3’ Probe 5’-FAM-CGC TTT CTC CTA GCT CCA GCC TTC G-TAMRA-3’ E2F3b Forward Primer 5’-TTT AAA CCA TCT GAG AGG TAC TGA TGA-3’ Reverse Primer 5’-CCC TTA CAG CAG CAG GCA A-3’ Probe 5’-FAM-CGC TTT CTC CTA GCT CCA GCC TTC G-TAMRA-3’ IRF-1 Forward Primer 5’-TTT GTA TCG GCC TGT GTG AAT G-3’ Reverse Primer 5’-AAG CAT GGC TGG GAC ATC A-3’ Probe 5’-FAM-CAG CTC CGG AAC AAA CAG GCA TCC TT-TAMRA-3' IRF-2 Forward Primer 5'-CGC CCC TCG GCA CTC T-3' Reverse Primer 5'-TCT TCC TAT GCA GAA AGC GAA AC-3' Probe 5'-FAM-TTC ATC GCT GGG CAC ACT ATC AGT-TAMRA-3' TBP Forward Primer 5’-CAC GAA CCA CGG CAC TGA TT-3’ Reverse Primer 5’-TTT TCT TGC TGC CAG TCT GGA C-3’ Probe 5’-FAM-TGT GCA CAG GAG CCA AGA GTG AAG A-BHQ1-3’ Primers and Probes for quantitative RT-PCRs were designed using the computer program “Primer Express” (Applied Biosystems, Foster City, CA, USA). -
Proquest Dissertations
RICE UNIVERSITY Molecular Basis of Gene Dosage Sensitivity by Jianping Chen A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE Doctor of Philosophy APPROVED, THESIS COMMITTEE: Ariel Fernandez, Chair Karl F. Hasselmann Professor Department of Bioengineering Rice University rn'idtfP h.tQsJUW*- Michael W. Deem, John W. Cox Professor Department of Bioengineering Department of Physics and Astronomy Rice Universit ^engineering at Rice University Jiochemistry at Baylor College of Medicine Axxttig- «J^gb/uv Laura Segaton, T.N. Law Assistant Professor Chemical and Biomolecular Engineering Rice University HOUSTON, TEXAS JANUARY 2009 UMI Number: 3362141 INFORMATION TO USERS The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleed-through, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. UMI® UMI Microform 3362141 Copyright 2009 by ProQuest LLC All rights reserved. This microform edition is protected against unauthorized copying under Title 17, United States Code. ProQuest LLC 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, Ml 48106-1346 ABSTRACT Molecular Basis of Gene Dosage Sensitivity by JianpingChen Deviation of gene expression from normal levels has been associated with diseases. Both under- and overexpression of genes could lead to deleterious biological consequences. Dosage balance has been proposed to be a key issue of determining gene expression pheno- type. -
TFARM: Transcription Factor Associatio Rule Miner
TFARM: Transcription Factor Associatio Rule Miner Liuba Nausicaa Martino [email protected] Alice Parodi Gaia Ceddia Piercesare Secchi Stefano Campaner Marco Masseroli May 19, 2021 Contents 1 Introduction ..............................1 2 Dataset ................................2 3 Extraction of the most relevant associations ...........4 4 Importance Index of a transcription factor .............7 4.1 Validation of the Importance Index formula ............ 14 5 Visualization tools .......................... 17 library(TFARM) 1 Introduction Looking for association rules between transcription factors in genomic regions of interest can be useful to find direct or indirect interactions among regulatory factors of DNA transcription. However, the results provided by the most recent algorithms for the search of association rules [1][2] alone are often not intelligible enough, since they only provide a list of association rules. A novel method is proposed for subsequent mining of these results to evaluate the contribution of the items in each association rule. The TFARM package allows us to identify and extract the most relevant association rules with a given target transcription factor and compute the Importance Index of a transcription factor (or a combination of some of them) in the extracted rules. Such an index is useful to associate a numerical value to the contribution of one or more transcription factors to the co-regulation with a given target transcription factor. TFARM: Transcription Factor Associatio Rule Miner 2 Dataset Association rules are extracted from a GRanges object in which metadata columns identify transcription factors and genomic coordinates are represented in the left-hand-side of the GRanges; thus, each row is a different genomic region.