1 High Throughput Screening Identifies SOX2 As a Super Pioneer Factor That
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Core Transcriptional Regulatory Circuitries in Cancer
Oncogene (2020) 39:6633–6646 https://doi.org/10.1038/s41388-020-01459-w REVIEW ARTICLE Core transcriptional regulatory circuitries in cancer 1 1,2,3 1 2 1,4,5 Ye Chen ● Liang Xu ● Ruby Yu-Tong Lin ● Markus Müschen ● H. Phillip Koeffler Received: 14 June 2020 / Revised: 30 August 2020 / Accepted: 4 September 2020 / Published online: 17 September 2020 © The Author(s) 2020. This article is published with open access Abstract Transcription factors (TFs) coordinate the on-and-off states of gene expression typically in a combinatorial fashion. Studies from embryonic stem cells and other cell types have revealed that a clique of self-regulated core TFs control cell identity and cell state. These core TFs form interconnected feed-forward transcriptional loops to establish and reinforce the cell-type- specific gene-expression program; the ensemble of core TFs and their regulatory loops constitutes core transcriptional regulatory circuitry (CRC). Here, we summarize recent progress in computational reconstitution and biologic exploration of CRCs across various human malignancies, and consolidate the strategy and methodology for CRC discovery. We also discuss the genetic basis and therapeutic vulnerability of CRC, and highlight new frontiers and future efforts for the study of CRC in cancer. Knowledge of CRC in cancer is fundamental to understanding cancer-specific transcriptional addiction, and should provide important insight to both pathobiology and therapeutics. 1234567890();,: 1234567890();,: Introduction genes. Till now, one critical goal in biology remains to understand the composition and hierarchy of transcriptional Transcriptional regulation is one of the fundamental mole- regulatory network in each specified cell type/lineage. -
Harnessing Gene Expression Profiles for the Identification of Ex Vivo Drug
cancers Article Harnessing Gene Expression Profiles for the Identification of Ex Vivo Drug Response Genes in Pediatric Acute Myeloid Leukemia David G.J. Cucchi 1 , Costa Bachas 1 , Marry M. van den Heuvel-Eibrink 2,3, Susan T.C.J.M. Arentsen-Peters 3, Zinia J. Kwidama 1, Gerrit J. Schuurhuis 1, Yehuda G. Assaraf 4, Valérie de Haas 3 , Gertjan J.L. Kaspers 3,5 and Jacqueline Cloos 1,* 1 Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; [email protected] (D.G.J.C.); [email protected] (C.B.); [email protected] (Z.J.K.); [email protected] (G.J.S.) 2 Department of Pediatric Oncology/Hematology, Erasmus MC–Sophia Children’s Hospital, 3015 CN Rotterdam, The Netherlands; [email protected] 3 Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; [email protected] (S.T.C.J.M.A.-P.); [email protected] (V.d.H.); [email protected] (G.J.L.K.) 4 The Fred Wyszkowski Cancer Research, Laboratory, Department of Biology, Technion-Israel Institute of Technology, 3200003 Haifa, Israel; [email protected] 5 Emma’s Children’s Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Pediatric Oncology, 1081 HV Amsterdam, The Netherlands * Correspondence: [email protected] Received: 21 April 2020; Accepted: 12 May 2020; Published: 15 May 2020 Abstract: Novel treatment strategies are of paramount importance to improve clinical outcomes in pediatric AML. Since chemotherapy is likely to remain the cornerstone of curative treatment of AML, insights in the molecular mechanisms that determine its cytotoxic effects could aid further treatment optimization. -
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 -
Integration of 198 Chip-Seq Datasets Reveals Human Cis-Regulatory Regions
Integration of 198 ChIP-seq datasets reveals human cis-regulatory regions Hamid Bolouri & Larry Ruzzo Thanks to Stephen Tapscott, Steven Henikoff & Zizhen Yao Slides will be available from: http://labs.fhcrc.org/bolouri/ Email [email protected] for manuscript (Bolouri & Ruzzo, submitted) Kleinjan & van Heyningen, Am. J. Hum. Genet., 2005, (76)8–32 Epstein, Briefings in Func. Genom. & Protemoics, 2009, 8(4)310-16 Regulation of SPi1 (Sfpi1, PU.1 protein) expression – part 1 miR155*, miR569# ~750nt promoter ~250nt promoter The antisense RNA • causes translational stalling • has its own promoter • requires distal SPI1 enhancer • is transcribed with/without SPI1. # Hikami et al, Arthritis & Rheumatism, 2011, 63(3):755–763 * Vigorito et al, 2007, Immunity 27, 847–859 Ebralidze et al, Genes & Development, 2008, 22: 2085-2092. Regulation of SPi1 expression – part 2 (mouse coordinates) Bidirectional ncRNA transcription proportional to PU.1 expression PU.1/ELF1/FLI1/GLI1 GATA1 GATA1 Sox4/TCF/LEF PU.1 RUNX1 SP1 RUNX1 RUNX1 SP1 ELF1 NF-kB SATB1 IKAROS PU.1 cJun/CEBP OCT1 cJun/CEBP 500b 500b 500b 500b 500b 750b 500b -18Kb -14Kb -12Kb -10Kb -9Kb Chou et al, Blood, 2009, 114: 983-994 Hoogenkamp et al, Molecular & Cellular Biology, 2007, 27(21):7425-7438 Zarnegar & Rothenberg, 2010, Mol. & cell Biol. 4922-4939 An NF-kB binding-site variant in the SPI1 URE reduces PU.1 expression & is GGGCCTCCCC correlated with AML GGGTCTTCCC Bonadies et al, Oncogene, 2009, 29(7):1062-72. SATB1 binding site A distal single nucleotide polymorphism alters long- range regulation of the PU.1 gene in acute myeloid leukemia Steidl et al, J Clin Invest. -
Mechanism of Nucleosome Targeting by Pioneer Transcription Factors
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2019 Mechanism Of Nucleosome Targeting By Pioneer Transcription Factors Meilin Mary Fernandez Garcia University of Pennsylvania Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Biochemistry Commons, and the Biophysics Commons Recommended Citation Fernandez Garcia, Meilin Mary, "Mechanism Of Nucleosome Targeting By Pioneer Transcription Factors" (2019). Publicly Accessible Penn Dissertations. 3624. https://repository.upenn.edu/edissertations/3624 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/3624 For more information, please contact [email protected]. Mechanism Of Nucleosome Targeting By Pioneer Transcription Factors Abstract Transcription factors (TFs) forage the genome to instruct cell plasticity, identity, and differentiation. These developmental processes are elicited through TF engagement with chromatin. Yet, how and which TFs can engage with chromatin and thus, nucleosomes, remains largely unexplored. Pioneer TFs are TF that display a high affinity for nucleosomes. Extensive genetic and biochemical studies on the pioneer TF FOXA, a driver of fibroblast to hepatocyte reprogramming, revealed its nucleosome binding ability and chromatin targeting lead to chromatin accessibility and subsequent cooperative binding of TFs. Similarly, a number of reprogramming TFs have been suggested to have pioneering activity due to their ability to target compact chromatin and increase accessibility and enhancer formation in vivo. But whether these factors directly interact with nucleosomes remains to be assessed. Here we test the nucleosome binding ability of the cell reprogramming TFs, Oct4, Sox2, Klf4 and cMyc, that are required for the generation of induced pluripotent stem cells. In addition, we also test neuronal and macrophage reprogramming TFs. -
Virtual Chip-Seq: Predicting Transcription Factor Binding
bioRxiv preprint doi: https://doi.org/10.1101/168419; this version posted March 12, 2019. 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. 1 Virtual ChIP-seq: predicting transcription factor binding 2 by learning from the transcriptome 1,2,3 1,2,3,4,5 3 Mehran Karimzadeh and Michael M. Hoffman 1 4 Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada 2 5 Princess Margaret Cancer Centre, Toronto, ON, Canada 3 6 Vector Institute, Toronto, ON, Canada 4 7 Department of Computer Science, University of Toronto, Toronto, ON, Canada 5 8 Lead contact: michael.hoff[email protected] 9 March 8, 2019 10 Abstract 11 Motivation: 12 Identifying transcription factor binding sites is the first step in pinpointing non-coding mutations 13 that disrupt the regulatory function of transcription factors and promote disease. ChIP-seq is 14 the most common method for identifying binding sites, but performing it on patient samples is 15 hampered by the amount of available biological material and the cost of the experiment. Existing 16 methods for computational prediction of regulatory elements primarily predict binding in genomic 17 regions with sequence similarity to known transcription factor sequence preferences. This has limited 18 efficacy since most binding sites do not resemble known transcription factor sequence motifs, and 19 many transcription factors are not even sequence-specific. 20 Results: 21 We developed Virtual ChIP-seq, which predicts binding of individual transcription factors in new 22 cell types using an artificial neural network that integrates ChIP-seq results from other cell types 23 and chromatin accessibility data in the new cell type. -
Role of Estrogen Receptor in Breast Cancer Cell Gene Expression
4046 MOLECULAR MEDICINE REPORTS 13: 4046-4050, 2016 Role of estrogen receptor in breast cancer cell gene expression YABING ZHENG1, XIYING SHAO1, YUAN HUANG1, LEI SHI1, BO CHEN2, XIAOJIA WANG1, HONGJIAN YANG3, ZHANHONG CHEN1 and XIPING ZHANG3 Departments of 1Medical Oncology (Breast), 2Pathology and 3Breast Surgery, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China Received April 28, 2015; Accepted February 23, 2016 DOI: 10.3892/mmr.2016.5018 Abstract. The aim of the present study was to establish the Europe in 2012, and the number of breast cancer-associated underlying regulatory mechanism of estrogen receptor (ER) mortalities is 131,000 (6). Furthermore, breast cancer is in breast cancer cell gene expression. A gene expression the most common cause of cancer-associated mortality in profile accession( no. GSE11324) was downloaded from the females. Therefore, it is essential to understand its molecular Gene Expression Omnibus (GEO) database. Differentially mechanism and develop more effective therapeutic methods expressed genes (DEGs) from an estrogen treatment group and for breast cancer treatment. a control group were identified. Chromatin immunoprecipita- The estrogen receptor (ER) is critical in determining the tion with high-throughput sequencing data (series GSE25710) phenotype of human breast cancers and is one of the most was obtained from the GEO for the ER binding sites, and important therapeutic targets (7). Furthermore, certain studies binding and expression target analysis was performed. A total have suggested that activation of ER is responsible for various of 3,122 DEGs were obtained and ER was demonstrated to biological processes, including cell growth and differentia- exhibit inhibition and activation roles during the regulation tion, and programmed cell death (8,9). -
Identification of Regulatory Elements from Nascent Transcription Using Dreg
Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press Identification of regulatory elements from nascent transcription using dREG Zhong Wang1, Tinyi Chu1,2, Lauren A. Choate1, and Charles G. Danko1,3,* 1 Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853. 2 Graduate field of Computational Biology, Cornell University, Ithaca, NY 14853. 3 Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853. * Address correspondence to: Charles G. Danko, Ph.D. Baker Institute for Animal Health Cornell University Hungerford Hill Rd. Ithaca, NY 14853 Phone: (607) 256-5620 E-mail: [email protected] Abstract: Our genomes encode a wealth of transcription initiation regions (TIRs) that can be identified by their distinctive patterns of actively elongating RNA polymerase. We previously introduced dREG to identify TIRs using PRO-seq data. Here we introduce an efficient new implementation of dREG that uses PRO-seq data to identify both uni- and bidirectionally transcribed TIRs with 70% improvements in accuracy, 3-4-fold higher resolution, and >100-fold increases in computational efficiency. Using a novel strategy to identify TIRs based on their statistical confidence reveals extensive overlap with orthogonal assays, yet also reveals thousands of additional weakly-transcribed TIRs that were not identified by H3K27ac ChIP-seq or DNase-seq. Novel TIRs discovered by dREG were often associated with RNA polymerase III initiation, bound by pioneer transcription factors, or located in broad domains marked by repressive chromatin modifications. Our results suggest that transcription initiation can be a powerful tool for expanding the catalog of functional elements. -
Genetic Determinants and Epigenetic Effects of Pioneer-Factor Occupancy
ARTICLES https://doi.org/10.1038/s41588-017-0034-3 Genetic determinants and epigenetic effects of pioneer-factor occupancy Julie Donaghey1,2, Sudhir Thakurela 1,2, Jocelyn Charlton2,3, Jennifer S. Chen2, Zachary D. Smith1,2, Hongcang Gu1, Ramona Pop2, Kendell Clement1,2, Elena K. Stamenova1, Rahul Karnik1,2, David R. Kelley 2, Casey A. Gifford1,2,5, Davide Cacchiarelli1,2,6, John L. Rinn1,2,7, Andreas Gnirke1, Michael J. Ziller4 and Alexander Meissner 1,2,3* Transcription factors (TFs) direct developmental transitions by binding to target DNA sequences, influencing gene expres- sion and establishing complex gene-regultory networks. To systematically determine the molecular components that enable or constrain TF activity, we investigated the genomic occupancy of FOXA2, GATA4 and OCT4 in several cell types. Despite their classification as pioneer factors, all three TFs exhibit cell-type-specific binding, even when supraphysiologically and ectopically expressed. However, FOXA2 and GATA4 can be distinguished by low enrichment at loci that are highly occupied by these fac- tors in alternative cell types. We find that expression of additional cofactors increases enrichment at a subset of these sites. Finally, FOXA2 occupancy and changes to DNA accessibility can occur in G1-arrested cells, but subsequent loss of DNA meth- ylation requires DNA replication. rganismal development is orchestrated by the selective use the regulatory capabilities of the presumed pioneer TFs FOXA2, and distinctive interpretation of identical genetic material GATA4 and OCT4, which are frequently studied in development Oin each cell. During this process, TFs coordinate protein and used in cellular reprogramming. complexes at associated promoter and distal enhancer elements to modulate gene expression. -
Supplement. Transcriptional Factors (TF), Protein Name and Their Description Or Function
Supplement. Transcriptional factors (TF), protein name and their description or function. TF Protein name TF description/function ARID3A AT rich interactive domain 3A (BRIGHT-like) This gene encodes a member of the ARID (AT-rich interaction domain) family of DNA binding proteins. ATF4 Activating Transcription Factor 4 Transcriptional activator. Binds the cAMP response element (CRE) (consensus: 5-GTGACGT[AC][AG]-3), a sequence present in many viral and cellular promoters. CTCF CCCTC-Binding Factor Chromatin binding factor that binds to DNA sequence specific sites. Involved in transcriptional regulation by binding to chromatin insulators and preventing interaction between promoter and nearby enhancers and silencers. The protein can bind a histone acetyltransferase (HAT)-containing complex and function as a transcriptional activator or bind a histone deacetylase (HDAC)-containing complex and function as a transcriptional repressor. E2F1-6 E2F transcription factors 1-6 The protein encoded by this gene is a member of the E2F family of transcription factors. The E2F family plays a crucial role in the control of cell cycle and action of tumor suppressor proteins and is also a target of the transforming proteins of small DNA tumor viruses. The E2F proteins contain several evolutionally conserved domains found in most members of the family. These domains include a DNA binding domain, a dimerization domain which determines interaction with the differentiation regulated transcription factor proteins (DP), a transactivation domain enriched in acidic amino acids, and a tumor suppressor protein association domain which is embedded within the transactivation domain. EBF1 Transcription factor COE1 EBF1 has been shown to interact with ZNF423 and CREB binding proteins. -
Integrated Computational Approach to the Analysis of RNA-Seq Data Reveals New Transcriptional Regulators of Psoriasis
OPEN Experimental & Molecular Medicine (2016) 48, e268; doi:10.1038/emm.2016.97 & 2016 KSBMB. All rights reserved 2092-6413/16 www.nature.com/emm ORIGINAL ARTICLE Integrated computational approach to the analysis of RNA-seq data reveals new transcriptional regulators of psoriasis Alena Zolotarenko1, Evgeny Chekalin1, Alexandre Mesentsev1, Ludmila Kiseleva2, Elena Gribanova2, Rohini Mehta3, Ancha Baranova3,4,5,6, Tatiana V Tatarinova6,7,8, Eleonora S Piruzian1 and Sergey Bruskin1,5 Psoriasis is a common inflammatory skin disease with complex etiology and chronic progression. To provide novel insights into the regulatory molecular mechanisms of the disease, we performed RNA sequencing analysis of 14 pairs of skin samples collected from patients with psoriasis. Subsequent pathway analysis and extraction of the transcriptional regulators governing psoriasis-associated pathways was executed using a combination of the MetaCore Interactome enrichment tool and the cisExpress algorithm, followed by comparison to a set of previously described psoriasis response elements. A comparative approach allowed us to identify 42 core transcriptional regulators of the disease associated with inflammation (NFκB, IRF9, JUN, FOS, SRF), the activity of T cells in psoriatic lesions (STAT6, FOXP3, NFATC2, GATA3, TCF7, RUNX1), the hyper- proliferation and migration of keratinocytes (JUN, FOS, NFIB, TFAP2A, TFAP2C) and lipid metabolism (TFAP2, RARA, VDR). In addition to the core regulators, we identified 38 transcription factors previously not associated with the disease that can clarify the pathogenesis of psoriasis. To illustrate these findings, we analyzed the regulatory role of one of the identified transcription factors (TFs), FOXA1. Using ChIP-seq and RNA-seq data, we concluded that the atypical expression of the FOXA1 TF is an important player in the disease as it inhibits the maturation of naive T cells into the (CD4+FOXA1+CD47+CD69+PD-L1(hi) FOXP3 − ) regulatory T cell subpopulation, therefore contributing to the development of psoriatic skin lesions. -
Genome-Wide Location Analysis Reveals Distinct Transcriptional Circuitry by Paralogous Regulators Foxa1 and Foxa2
Genome-Wide Location Analysis Reveals Distinct Transcriptional Circuitry by Paralogous Regulators Foxa1 and Foxa2 The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Bochkis, Irina M. et al. “Genome-Wide Location Analysis Reveals Distinct Transcriptional Circuitry by Paralogous Regulators Foxa1 and Foxa2.” Ed. Michael Snyder. PLoS Genetics 8.6 (2012): e1002770. As Published http://dx.doi.org/10.1371/journal.pgen.1002770 Publisher Public Library of Science Version Final published version Citable link http://hdl.handle.net/1721.1/73529 Terms of Use Creative Commons Attribution Detailed Terms http://creativecommons.org/licenses/by/2.5/ Genome-Wide Location Analysis Reveals Distinct Transcriptional Circuitry by Paralogous Regulators Foxa1 and Foxa2 Irina M. Bochkis1¤, Jonathan Schug1, Diana Z. Ye1, Svitlana Kurinna2, Sabrina A. Stratton2, Michelle C. Barton2, Klaus H. Kaestner1* 1 Department of Genetics and Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America, 2 Center for Stem Cell and Developmental Biology, Department of Biochemistry and Molecular Biology, University of Texas M. D. Anderson Cancer Center, Houston, Texas, United States of America Abstract Gene duplication is a powerful driver of evolution. Newly duplicated genes acquire new roles that are relevant to fitness, or they will be lost over time. A potential path to functional relevance is mutation of the coding sequence leading to the acquisition of novel biochemical properties, as analyzed here for the highly homologous paralogs Foxa1 and Foxa2 transcriptional regulators. We determine by genome-wide location analysis (ChIP-Seq) that, although Foxa1 and Foxa2 share a large fraction of binding sites in the liver, each protein also occupies distinct regulatory elements in vivo.