The REST/NRSF Pathway As a Central Mechanism in CNS Dysfunction
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Mediator of DNA Damage Checkpoint 1 (MDC1) Is a Novel Estrogen Receptor Co-Regulator in Invasive 6 Lobular Carcinoma of the Breast 7 8 Evelyn K
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.16.423142; this version posted December 16, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. 1 Running Title: MDC1 co-regulates ER in ILC 2 3 Research article 4 5 Mediator of DNA damage checkpoint 1 (MDC1) is a novel estrogen receptor co-regulator in invasive 6 lobular carcinoma of the breast 7 8 Evelyn K. Bordeaux1+, Joseph L. Sottnik1+, Sanjana Mehrotra1, Sarah E. Ferrara2, Andrew E. Goodspeed2,3, James 9 C. Costello2,3, Matthew J. Sikora1 10 11 +EKB and JLS contributed equally to this project. 12 13 Affiliations 14 1Dept. of Pathology, University of Colorado Anschutz Medical Campus 15 2Biostatistics and Bioinformatics Shared Resource, University of Colorado Comprehensive Cancer Center 16 3Dept. of Pharmacology, University of Colorado Anschutz Medical Campus 17 18 Corresponding author 19 Matthew J. Sikora, PhD.; Mail Stop 8104, Research Complex 1 South, Room 5117, 12801 E. 17th Ave.; Aurora, 20 CO 80045. Tel: (303)724-4301; Fax: (303)724-3712; email: [email protected]. Twitter: 21 @mjsikora 22 23 Authors' contributions 24 MJS conceived of the project. MJS, EKB, and JLS designed and performed experiments. JLS developed models 25 for the project. EKB, JLS, SM, and AEG contributed to data analysis and interpretation. SEF, AEG, and JCC 26 developed and performed informatics analyses. MJS wrote the draft manuscript; all authors read and revised the 27 manuscript and have read and approved of this version of the manuscript. -
Intrinsic Specificity of DNA Binding and Function of Class II Bhlh
INTRINSIC SPECIFICITY OF BINDING AND REGULATORY FUNCTION OF CLASS II BHLH TRANSCRIPTION FACTORS APPROVED BY SUPERVISORY COMMITTEE Jane E. Johnson Ph.D. Helmut Kramer Ph.D. Genevieve Konopka Ph.D. Raymond MacDonald Ph.D. INTRINSIC SPECIFICITY OF BINDING AND REGULATORY FUNCTION OF CLASS II BHLH TRANSCRIPTION FACTORS by BRADFORD HARRIS CASEY DISSERTATION Presented to the Faculty of the Graduate School of Biomedical Sciences The University of Texas Southwestern Medical Center at Dallas In Partial Fulfillment of the Requirements For the Degree of DOCTOR OF PHILOSOPHY The University of Texas Southwestern Medical Center at Dallas Dallas, Texas December, 2016 DEDICATION This work is dedicated to my family, who have taught me pursue truth in all forms. To my grandparents for inspiring my curiosity, my parents for teaching me the value of a life in the service of others, my sisters for reminding me of the importance of patience, and to Rachel, who is both “the beautiful one”, and “the smart one”, and insists that I am clever and beautiful, too. Copyright by Bradford Harris Casey, 2016 All Rights Reserved INTRINSIC SPECIFICITY OF BINDING AND REGULATORY FUNCTION OF CLASS II BHLH TRANSCRIPTION FACTORS Publication No. Bradford Harris Casey The University of Texas Southwestern Medical Center at Dallas, 2016 Jane E. Johnson, Ph.D. PREFACE Embryonic development begins with a single cell, and gives rise to the many diverse cells which comprise the complex structures of the adult animal. Distinct cell fates require precise regulation to develop and maintain their functional characteristics. Transcription factors provide a mechanism to select tissue-specific programs of gene expression from the shared genome. -
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. -
Download and Analyze Large-Scale Cancer Studies Such As the Cancer Genome Atlas (TCGA) Studies for Different Cancers (189)
MECHANISMS OF TREATMENT INDUCED CELL PLASTICITY IN PROSTATE CANCER by Daksh Thaper BSc, Simon Fraser University, 2012 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Doctor of Philosophy in THE FACULTY OF GRADUATE AND POSTDOCTORAL STUDIES (Experimental Medicine) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) August 2018 © Daksh Thaper, 2018 i Examining Committee The following individuals certify that they have read, and recommend to the Faculty of Graduate and Postdoctoral Studies for acceptance, the dissertation entitled: Mechanism of treatment induced cell plasticity in prostate cancer in partial fulfillment of the requirements submitted by Daksh Thaper for the degree of Doctor of Philosophy in Experimental Medicine Examining Committee: Dr. Amina Zoubeidi, Associate Professor, Department of Urologic Sciences Supervisor Dr. Michael Cox, Associate Professor, Department of Urologic Sciences Supervisory Committee Member Dr. Christopher Maxwell, Associate Professor, Department of Pediatrics Supervisory Committee Member Dr. Shoukat Dedhar, Professor, Department of Biochemistry Supervisory Committee Member Dr. Calvin Roskelley, Professor, Department of Cellular and Physiological Sciences University Examiner Dr. Wan Lam, Professor, Department of Pathology and Laboratory Medicine University Examiner ii Abstract While effective, resistance to 1st generation and 2nd generation androgen receptor (AR) pathway inhibitors is inevitable, creating a need to study the mechanisms by which prostate cancer (PCa) cells become resistant to these treatments. At its core, resistance can be categorized into AR driven and non-AR driven. The research presented in this thesis explores the hypothesis that non-AR driven resistance mechanisms exploit cellular plasticity to gain a survival advantage. Previous research has demonstrated that in response to 1st generation anti-androgens, epithelial PCa cells can undergo an epithelial-mesenchymal transition (EMT); a process implicated in metastatic dissemination of cancer cells throughout the body. -
Integrative Analysis of Single-Cell Genomics Data by Coupled Nonnegative Matrix Factorizations
Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations Zhana Durena,b,1, Xi Chena,b,1, Mahdi Zamanighomia,b,c,1, Wanwen Zenga,b,d, Ansuman T. Satpathyc, Howard Y. Changc, Yong Wange,f, and Wing Hung Wonga,b,c,2 aDepartment of Statistics, Stanford University, Stanford, CA 94305; bDepartment of Biomedical Data Science, Stanford University, Stanford, CA 94305; cCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305; dMinistry of Education Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic & Systems Biology, Department of Automation, Tsinghua University, 100084 Beijing, China; eAcademy of Mathematics and Systems Science, Chinese Academy of Sciences, 100080 Beijing, China; and fCenter for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223 Kunming, China Contributed by Wing Hung Wong, June 14, 2018 (sent for review April 4, 2018; reviewed by Andrew D. Smith and Nancy R. Zhang) When different types of functional genomics data are generated on Approach single cells from different samples of cells from the same hetero- Coupled NMF. We first introduce our approach in general terms. geneous population, the clustering of cells in the different samples Let O be a p1 by n1 matrix representing data on p1 features for n1 should be coupled. We formulate this “coupled clustering” problem units in the first sample; then a “soft” clustering of the units in as an optimization problem and propose the method of coupled this sample can be obtained from a nonnegative factorization nonnegative matrix factorizations (coupled NMF) for its solution. O = W1H1 as follows: The ith column of W1 gives the mean The method is illustrated by the integrative analysis of single-cell vector for the ith cluster of units, while the jth column of H1 gives RNA-sequencing (RNA-seq) and single-cell ATAC-sequencing (ATAC- the assignment weights of the jth unit to the different clusters. -
Early B Cell Factor 1 Regulates B Cell Gene Networks by Activation, Repression, and Transcription- Independent Poising of Chromatin
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Immunity Resource Early B Cell Factor 1 Regulates B Cell Gene Networks by Activation, Repression, and Transcription- Independent Poising of Chromatin Thomas Treiber,1,3 Elizabeth M. Mandel,1,3 Sebastian Pott,2,3 Ildiko Gyo¨ ry,1,3 Sonja Firner,1 Edison T. Liu,2 and Rudolf Grosschedl1,* 1Max Planck Institute of Immunobiology, Department of Cellular and Molecular Immunology, Stuebeweg 51, 79108 Freiburg, Germany 2Genome Institute of Singapore, Cancer Biology and Pharmacology, 60 Biopolis Street, 138672 Singapore 3These authors contributed equally to this work *Correspondence: [email protected] DOI 10.1016/j.immuni.2010.04.013 SUMMARY (reviewed in Hardy et al., 2007; Murre, 2009). Pre-B cells express the pre-B cell receptor (pre-BCR) and further differentiate into The transcription factor early B cell factor-1 (Ebf1) is immature B cells that have undergone Ig light chain gene rear- a key determinant of B lineage specification and rangement and migrate from the bone marrow to the spleen. differentiation. To gain insight into the molecular Each of these B cell differentiation steps is dependent on basis of Ebf1 function in early-stage B cells, we the coordinated expression of cell-type-specific transcription combined a genome-wide ChIP sequencing analysis factors and activities of signaling pathways (reviewed in Mandel with gain- and loss-of-function transcriptome anal- and Grosschedl, 2010). Genetic ablation and complementation studies have demonstrated key roles for transcription factors yses. Among 565 genes that are occupied and tran- such as Ikaros, Pu.1, E2A, early B cell factor-1 (Ebf1), and scriptionally regulated by Ebf1, we identified large Pax5 (reviewed in Busslinger, 2004; Hagman and Lukin, 2006; sets involved in (pre)-B cell receptor and Akt Singh et al., 2007). -
Ebf1-Mediated Down-Regulation of Id2 and Id3 Is Essential for Specification of the B Cell Lineage
Ebf1-mediated down-regulation of Id2 and Id3 is essential for specification of the B cell lineage Melissa A. Thala, Thiago L. Carvalhoa,TiHea, Hyung-Gyoon Kima, Hua Gaob, James Hagmanb, and Christopher A. Kluga,1 aDepartment of Microbiology, The University of Alabama-Birmingham, Birmingham, AL 35294; and bIntegrated Department of Immunology, National Jewish Medical and Research Center, Denver, CO 80206 Edited by Cornelis Murre, University of California, San Diego, La Jolla, CA, and accepted by the Editorial Board November 7, 2008 (received for review March 13, 2008) Gene knockout experiments in mice have suggested a hierarchical of E47 (13) or E12 (14) in non-B-lineage cell lines, suggest that model of early B cell commitment wherein E2A proteins (E47 and E2A activity is essential upstream of Ebf1. Similarly, the Pax5 E12) activate early B cell factor (Ebf1), which in turn activates promoter is bound by Ebf1 based on EMSA and Ebf1 can expression of the B cell commitment factor, Pax5. In IL-7 receptor transactivate the Pax5 promoter in transient co-transfection alpha (IL-7R␣) knockout mice, B cell development is blocked before assays (15, 16). Ebf1 is also present in Pax5-deficient pro-B cells B-lineage commitment at the prepro-B cell stage in adult animals. derived from Pax5Ϫ/Ϫ adult mice (17), suggesting that Ebf1 may In IL-7R␣؊/؊ prepro-B cells, E47 is expressed and yet is insufficient participate in the activation of Pax5 expression. Complicating the to transcriptionally activate the putative downstream target gene, simple hierarchical model where E2A induces expression of Ebf1. -
Investigation of Differentially Expressed Genes in Nasopharyngeal Carcinoma by Integrated Bioinformatics Analysis
916 ONCOLOGY LETTERS 18: 916-926, 2019 Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis ZhENNING ZOU1*, SIYUAN GAN1*, ShUGUANG LIU2, RUjIA LI1 and jIAN hUANG1 1Department of Pathology, Guangdong Medical University, Zhanjiang, Guangdong 524023; 2Department of Pathology, The Eighth Affiliated hospital of Sun Yat‑sen University, Shenzhen, Guangdong 518033, P.R. China Received October 9, 2018; Accepted April 10, 2019 DOI: 10.3892/ol.2019.10382 Abstract. Nasopharyngeal carcinoma (NPC) is a common topoisomerase 2α and TPX2 microtubule nucleation factor), malignancy of the head and neck. The aim of the present study 8 modules, and 14 TFs were identified. Modules analysis was to conduct an integrated bioinformatics analysis of differ- revealed that cyclin-dependent kinase 1 and exportin 1 were entially expressed genes (DEGs) and to explore the molecular involved in the pathway of Epstein‑Barr virus infection. In mechanisms of NPC. Two profiling datasets, GSE12452 and summary, the hub genes, key modules and TFs identified in GSE34573, were downloaded from the Gene Expression this study may promote our understanding of the pathogenesis Omnibus database and included 44 NPC specimens and of NPC and require further in-depth investigation. 13 normal nasopharyngeal tissues. R software was used to identify the DEGs between NPC and normal nasopharyngeal Introduction tissues. Distributions of DEGs in chromosomes were explored based on the annotation file and the CYTOBAND database Nasopharyngeal carcinoma (NPC) is a common malignancy of DAVID. Gene ontology (GO) and Kyoto Encyclopedia of occurring in the head and neck. It is prevalent in the eastern Genes and Genomes (KEGG) pathway enrichment analysis and southeastern parts of Asia, especially in southern China, were applied. -
EBF1 Drives Hallmark B Cell Gene Expression by Enabling the Interaction of PAX5 with the MLL H3K4 Methyltransferase Complex Charles E
www.nature.com/scientificreports OPEN EBF1 drives hallmark B cell gene expression by enabling the interaction of PAX5 with the MLL H3K4 methyltransferase complex Charles E. Bullerwell1, Philippe Pierre Robichaud1,2, Pierre M. L. Deprez1, Andrew P. Joy1, Gabriel Wajnberg1, Darwin D’Souza1,3, Simi Chacko1, Sébastien Fournier1, Nicolas Crapoulet1, David A. Barnett1,2, Stephen M. Lewis1,2 & Rodney J. Ouellette1,2* PAX5 and EBF1 work synergistically to regulate genes that are involved in B lymphocyte diferentiation. We used the KIS-1 difuse large B cell lymphoma cell line, which is reported to have elevated levels of PAX5 expression, to investigate the mechanism of EBF1- and PAX5-regulated gene expression. We demonstrate the lack of expression of hallmark B cell genes, including CD19, CD79b, and EBF1, in the KIS-1 cell line. Upon restoration of EBF1 expression we observed activation of CD19, CD79b and other genes with critical roles in B cell diferentiation. Mass spectrometry analyses of proteins co-immunoprecipitated with PAX5 in KIS-1 identifed components of the MLL H3K4 methylation complex, which drives histone modifcations associated with transcription activation. Immunoblotting showed a stronger association of this complex with PAX5 in the presence of EBF1. Silencing of KMT2A, the catalytic component of MLL, repressed the ability of exogenous EBF1 to activate transcription of both CD19 and CD79b in KIS-1 cells. We also fnd association of PAX5 with the MLL complex and decreased CD19 expression following silencing of KMT2A in other human B cell lines. These data support an important role for the MLL complex in PAX5-mediated transcription regulation. -
Logical Modeling of Lymphoid and Myeloid Cell Specification and Transdifferentiation
Logical modeling of lymphoid and myeloid cell specification and transdifferentiation Samuel Collombeta,1, Chris van Oevelenb,2, Jose Luis Sardina Ortegab,2, Wassim Abou-Jaoudéa, Bruno Di Stefanob,3, Morgane Thomas-Cholliera, Thomas Grafb,c,1, and Denis Thieffrya,1 aComputational Systems Biology Team, Institut de Biologie de l’Ecole Normale Supérieure, CNRS UMR8197, INSERM U1024, Ecole Normale Supérieure, Paris Sciences et Lettres Research University, 75005 Paris, France; bHematopoietic Stem Cells, Transdifferentiation, and Reprogramming Team, Gene Regulation, Stem Cells, and Cancer Program, Center for Genomic Regulation, Barcelona Institute for Biotechnology, 08003 Barcelona, Spain; and cUniversitat Pompeu Fabra, 08002 Barcelona, Spain Edited by Ellen V. Rothenberg, California Institute of Technology, Pasadena, CA, and accepted by Editorial Board Member Neil H. Shubin November 18, 2016 (received for review September 1, 2016) Blood cells are derived from a common set of hematopoietic stem for the transition from common myeloid progenitors (CMPs) to cells, which differentiate into more specific progenitors of the myeloid granulocyte-macrophage progenitors (GMPs), and mutation in and lymphoid lineages, ultimately leadingtodifferentiatedcells.This this gene can result in acute myeloid leukemia (6). Understanding developmental process is controlled by a complex regulatory network the molecular mechanisms by which such factors can induce cell- involving cytokines and their receptors, transcription factors, and fate decisions is of primary importance and might help in the chromatin remodelers. Using public data and data from our own mo- development of novel therapeutic strategies. lecular genetic experiments (quantitative PCR, Western blot, EMSA) or Computational modeling of regulatory networks is increasingly genome-wide assays (RNA-sequencing, ChIP-sequencing), we have recognized as a valuable approach to study cell-fate decisions. -
Transcriptomic and Epigenomic Characterization of the Developing Bat Wing
ARTICLES OPEN Transcriptomic and epigenomic characterization of the developing bat wing Walter L Eckalbar1,2,9, Stephen A Schlebusch3,9, Mandy K Mason3, Zoe Gill3, Ash V Parker3, Betty M Booker1,2, Sierra Nishizaki1,2, Christiane Muswamba-Nday3, Elizabeth Terhune4,5, Kimberly A Nevonen4, Nadja Makki1,2, Tara Friedrich2,6, Julia E VanderMeer1,2, Katherine S Pollard2,6,7, Lucia Carbone4,8, Jeff D Wall2,7, Nicola Illing3 & Nadav Ahituv1,2 Bats are the only mammals capable of powered flight, but little is known about the genetic determinants that shape their wings. Here we generated a genome for Miniopterus natalensis and performed RNA-seq and ChIP-seq (H3K27ac and H3K27me3) analyses on its developing forelimb and hindlimb autopods at sequential embryonic stages to decipher the molecular events that underlie bat wing development. Over 7,000 genes and several long noncoding RNAs, including Tbx5-as1 and Hottip, were differentially expressed between forelimb and hindlimb, and across different stages. ChIP-seq analysis identified thousands of regions that are differentially modified in forelimb and hindlimb. Comparative genomics found 2,796 bat-accelerated regions within H3K27ac peaks, several of which cluster near limb-associated genes. Pathway analyses highlighted multiple ribosomal proteins and known limb patterning signaling pathways as differentially regulated and implicated increased forelimb mesenchymal condensation in differential growth. In combination, our work outlines multiple genetic components that likely contribute to bat wing formation, providing insights into this morphological innovation. The order Chiroptera, commonly known as bats, is the only group of To characterize the genetic differences that underlie divergence in mammals to have evolved the capability of flight. -
Supplementary Figure 1. Ebf1 Overexpression Enhances Proliferation, and Ebf1 Knockdown Is Detrimental to Growth and Survival of Amulv-Transformed B Cells
Supplementary Figure 1. Ebf1 overexpression enhances proliferation, and Ebf1 knockdown is detrimental to growth and survival of AMuLV-transformed B cells. (A) AMuLV-transformed B cells transduced with empty (top) or Ebf1 (bottom) retrovirus were sorted 3 days post-transduction, expanded for 3 days, and mixed 1:10 with untransduced parental cells. Following staining with anti-hCD4 (retroviral marker), flow cytometry analysis was performed to determine the percentage of infected cells in the co- cultures at the indicated time points. Data are representative of two independent experiments. (B) Flow cytometry analysis of hCD2 retroviral marker expression in AMuLV-transformed B cells transduced with Ebf1 shRNA retrovirus. Cells were stained with anti-hCD2 antibody and the percentage of Ebf1 shRNA-expressing cells in the cultures assessed at day 2 and day 4 post-transduction. Data are representative of three independent experiments. Supplementary Figure 2. Pax5 binding to the Rag locus during pre-B cell differentiation is unaffected by Ebf1 and c-Myb overexpression. (A) GFP expression in AMuLV-transformed Rag1-GFP reporter B cells transduced with Pax5 cDNA retrovirus. Uninfected cells (shaded histogram) were distinguished cDNA-overexpressing cells (black line) by staining with anti-Thy1.1 (retroviral marker). Numbers above gate indicate the percentage of GFP+ uninfected cells (top) or cDNA-overexpressing cells (bottom). Data are representative of two independent experiments. (B) GFP expression in AMuLV-transformed Rag1-GFP reporter B cells transduced Pax5 shRNA and treated with STI. Uninfected cells (shaded histogram) were distinguished from shRNA- expressing cells (black line) by staining with anti-hCD2 (retroviral marker). Numbers above gate indicate the percentage of GFP+ uninfected cells (top) or shRNA-expressing cells (bottom).