The Core Component of the Mammalian SWI/SNF Complex
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1 Early Patterning and Specification of Cardiac Progenitors In
Early Patterning and Specification of Cardiac Progenitors in Gastrulating Mesoderm W. Patrick Devine1,2,3,4, Joshua D. Wythe1,2, Matthew George1,2,5 , Kazuko Koshiba- Takeuchi1,2, Benoit G. Bruneau1,2,4,5 1. Gladstone Institute of Cardiovascular Disease, San Francisco, CA, 94158 USA 2. Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA 94158, USA 3. Department of Pathology, University of California, San Francisco, CA 94143 USA 4. Cardiovascular Research Institute, University of California, San Francisco, CA 94158 USA 5. Developmental and Stem Cell Biology Program, University of San Francisco, CA 94143, USA 6. Department of Pediatrics, University of California, San Francisco, CA 94143 USA Competing interests statement: The authors declare no competing interests. 1 Abstract Mammalian heart development requires precise allocation of cardiac progenitors. The existence of a multipotent progenitor for all anatomic and cellular components of the heart has been predicted but its identity and contribution to the two cardiac progenitor "fields" has remained undefined. Here we show, using clonal genetic fate mapping, that Mesp1+ cells in gastrulating mesoderm are rapidly specified into committed cardiac precursors fated for distinct anatomic regions of the heart. We identify Smarcd3 as a marker of early specified cardiac precursors and identify within these precursors a compartment boundary at the future junction of the left and right ventricles that arises prior to morphogenesis. Our studies define the timing and hierarchy of cardiac progenitor specification and demonstrate that the cellular and anatomical fate of mesoderm-derived cardiac cells is specified very early. These findings will be important to understand the basis of congenital heart defects and to derive cardiac regeneration strategies. -
Original Article EP300 Regulates the Expression of Human Survivin Gene in Esophageal Squamous Cell Carcinoma
Int J Clin Exp Med 2016;9(6):10452-10460 www.ijcem.com /ISSN:1940-5901/IJCEM0023383 Original Article EP300 regulates the expression of human survivin gene in esophageal squamous cell carcinoma Xiaoya Yang, Zhu Li, Yintu Ma, Xuhua Yang, Jun Gao, Surui Liu, Gengyin Wang Department of Blood Transfusion, The Bethune International Peace Hospital of China PLA, Shijiazhuang 050082, Hebei, P. R. China Received January 6, 2016; Accepted March 21, 2016; Epub June 15, 2016; Published June 30, 2016 Abstract: Survivin is selectively up-regulated in various cancers including esophageal squamous cell carcinoma (ESCC). The underlying mechanism of survivin overexpression in cancers is needed to be further studied. In this study, we investigated the effect of EP300, a well known transcriptional coactivator, on survivin gene expression in human esophageal squamous cancer cell lines. We found that overexpression of EP300 was associated with strong repression of survivin expression at the mRNA and protein levels. Knockdown of EP300 increased the survivin ex- pression as indicated by western blotting and RT-PCR analysis. Furthermore, our results indicated that transcription- al repression mediated by EP300 regulates survivin expression levels via regulating the survivin promoter activity. Chromatin immunoprecipitation (ChIP) analysis revealed that EP300 was associated with survivin gene promoter. When EP300 was added to esophageal squamous cancer cells, increased EP300 association was observed at the survivin promoter. But the acetylation level of histone H3 at survivin promoter didn’t change after RNAi-depletion of endogenous EP300 or after overexpression of EP300. These findings establish a negative regulatory role for EP300 in survivin expression. Keywords: Survivin, EP300, transcription regulation, ESCC Introduction transcription factors and the basal transcrip- tion machinery, or by providing a scaffold for Survivin belongs to the inhibitor of apoptosis integrating a variety of different proteins [6]. -
Co-Occupancy by Multiple Cardiac Transcription Factors Identifies
Co-occupancy by multiple cardiac transcription factors identifies transcriptional enhancers active in heart Aibin Hea,b,1, Sek Won Konga,b,c,1, Qing Maa,b, and William T. Pua,b,2 aDepartment of Cardiology and cChildren’s Hospital Informatics Program, Children’s Hospital Boston, Boston, MA 02115; and bHarvard Stem Cell Institute, Harvard University, Cambridge, MA 02138 Edited by Eric N. Olson, University of Texas Southwestern, Dallas, TX, and approved February 23, 2011 (received for review November 12, 2010) Identification of genomic regions that control tissue-specific gene study of a handful of model genes (e.g., refs. 7–10), it has not been expression is currently problematic. ChIP and high-throughput se- evaluated using unbiased, genome-wide approaches. quencing (ChIP-seq) of enhancer-associated proteins such as p300 In this study, we used a modified ChIP-seq approach to define identifies some but not all enhancers active in a tissue. Here we genome wide the binding sites of these cardiac TFs (1). We show that co-occupancy of a chromatin region by multiple tran- provide unbiased support for collaborative TF interactions in scription factors (TFs) identifies a distinct set of enhancers. GATA- driving cardiac gene expression and use this principle to show that chromatin co-occupancy by multiple TFs identifies enhancers binding protein 4 (GATA4), NK2 transcription factor-related, lo- with cardiac activity in vivo. The majority of these multiple TF- cus 5 (NKX2-5), T-box 5 (TBX5), serum response factor (SRF), and “ binding loci (MTL) enhancers were distinct from p300-bound myocyte-enhancer factor 2A (MEF2A), here referred to as cardiac enhancers in location and functional properties. -
Supraphysiological Levels of Oxygen Exposure During the Neonatal
www.nature.com/scientificreports OPEN Supraphysiological Levels of Oxygen Exposure During the Neonatal Period Impairs Signaling Received: 15 January 2018 Accepted: 4 June 2018 Pathways Required for Learning Published: xx xx xxxx and Memory Manimaran Ramani1, Ranjit Kumar2, Brian Halloran1, Charitharth Vivek Lal1, Namasivayam Ambalavanan 1,3 & Lori L. McMahon3,4 Preterm infants often require prolonged oxygen supplementation and are at high risk of neurodevelopmental impairment. We recently reported that adult mice exposed to neonatal hyperoxia (postnatal day [P] 2 to 14) had spatial navigation memory defcits associated with hippocampal shrinkage. The mechanisms by which early oxidative stress impair neurodevelopment are not known. Our objective was to identify early hyperoxia-induced alterations in hippocampal receptors and signaling pathways necessary for memory formation. We evaluated C57BL/6 mouse pups at P14, exposed to either 85% oxygen or air from P2 to 14. We performed targeted analysis of hippocampal ligand-gated ion channels and proteins necessary for memory formation, and global bioinformatic analysis of diferentially expressed hippocampal genes and proteins. Hyperoxia decreased hippocampal mGLU7, TrkB, AKT, ERK2, mTORC1, RPS6, and EIF4E and increased α3, α5, and ɤ2 subunits of GABAA receptor and PTEN proteins, although changes in gene expression were not always concordant. Bioinformatic analysis indicated dysfunction in mitochondria and global protein synthesis and translational processes. In conclusion, supraphysiological oxygen exposure reduced proteins necessary for hippocampus-dependent memory formation and may adversely impact hippocampal mitochondrial function and global protein synthesis. These early hippocampal changes may account for memory defcits seen in preterm survivors following prolonged oxygen supplementation. Children born preterm with a relatively uncomplicated neonatal intensive care unit course ofen have defcits in executive function and learning and memory1–3. -
The Use of Phosphoproteomic Data to Identify Altered Kinases and Signaling Pathways in Cancer
The use of phosphoproteomic data to identify altered kinases and signaling pathways in cancer By Sara Renee Savage Thesis Submitted to the Faculty of the Graduate School of Vanderbilt University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in Biomedical Informatics August 10, 2018 Nashville, Tennessee Approved: Bing Zhang, Ph.D. Carlos Lopez, Ph.D. Qi Liu, Ph.D. ACKNOWLEDGEMENTS The work presented in this thesis would not have been possible without the funding provided by the NLM training grant (T15-LM007450) and the support of the Biomedical Informatics department at Vanderbilt. I am particularly indebted to Rischelle Jenkins, who helped me solve all administrative issues. Furthermore, this work is the result of a collaboration between all members of the Zhang lab and the larger CPTAC consortium. I would like to thank the other CPTAC centers for processing the data, and Chen Huang and Suhas Vasaikar in the Zhang lab for analyzing the colon cancer copy number and proteomic data, respectively. All members of the Zhang lab have been extremely helpful in answering any questions I had and offering suggestions on my work. Finally, I would like to acknowledge my mentor, Bing Zhang. I am extremely grateful for his guidance and for giving me the opportunity to work on these projects. ii TABLE OF CONTENTS Page ACKNOWLEDGEMENTS ................................................................................................ ii LIST OF TABLES............................................................................................................ -
Supplementary Figure 1. Network Map Associated with Upregulated Canonical Pathways Shows Interferon Alpha As a Key Regulator
Supplementary Figure 1. Network map associated with upregulated canonical pathways shows interferon alpha as a key regulator. IPA core analysis determined interferon-alpha as an upstream regulator in the significantly upregulated genes from RNAseq data from nasopharyngeal swabs of COVID-19 patients (GSE152075). Network map was generated in IPA, overlaid with the Coronavirus Replication Pathway. Supplementary Figure 2. Network map associated with Cell Cycle, Cellular Assembly and Organization, DNA Replication, Recombination, and Repair shows relationships among significant canonical pathways. Significant pathways were identified from pathway analysis of RNAseq from PBMCs of COVID-19 patients. Coronavirus Pathogenesis Pathway was also overlaid on the network map. The orange and blue colors in indicate predicted activation or predicted inhibition, respectively. Supplementary Figure 3. Significant biological processes affected in brochoalveolar lung fluid of severe COVID-19 patients. Network map was generated by IPA core analysis of differentially expressed genes for severe vs mild COVID-19 patients in bronchoalveolar lung fluid (BALF) from scRNA-seq profile of GSE145926. Orange color represents predicted activation. Red boxes highlight important cytokines involved. Supplementary Figure 4. 10X Genomics Human Immunology Panel filtered differentially expressed genes in each immune subset (NK cells, T cells, B cells, and Macrophages) of severe versus mild COVID-19 patients. Three genes (HLA-DQA2, IFIT1, and MX1) were found significantly and consistently differentially expressed. Gene expression is shown per the disease severity (mild, severe, recovered) is shown on the top row and expression across immune cell subsets are shown on the bottom row. Supplementary Figure 5. Network map shows interactions between differentially expressed genes in severe versus mild COVID-19 patients. -
Novel Mechanisms of Transcriptional Regulation by Leukemia Fusion Proteins
Novel mechanisms of transcriptional regulation by leukemia fusion proteins A dissertation submitted to the Graduate School of the University of Cincinnati in partial fulfillment of the requirement for the degree of Doctor of Philosophy in the Department of Cancer and Cell Biology of the College of Medicine by Chien-Hung Gow M.S. Columbia University, New York M.D. Our Lady of Fatima University B.S. National Yang Ming University Dissertation Committee: Jinsong Zhang, Ph.D. Robert Brackenbury, Ph.D. Sohaib Khan, Ph.D. (Chair) Peter Stambrook, Ph.D. Song-Tao Liu, Ph.D. ABSTRACT Transcription factors and chromatin structure are master regulators of homeostasis during hematopoiesis. Regulatory genes for each stage of hematopoiesis are activated or silenced in a precise, finely tuned manner. Many leukemia fusion proteins are produced by chromosomal translocations that interrupt important transcription factors and disrupt these regulatory processes. Leukemia fusion proteins E2A-Pbx1 and AML1-ETO involve normal function transcription factor E2A, resulting in two distinct types of leukemia: E2A-Pbx1 t(1;19) acute lymphoblastic leukemia (ALL) and AML1-ETO t(8;21) acute myeloid leukemia (AML). E2A, a member of the E-protein family of transcription factors, is a key regulator in hematopoiesis that recruits coactivators or corepressors in a mutually exclusive fashion to regulate its direct target genes. In t(1;19) ALL, the E2A portion of E2A-Pbx1 mediates a robust transcriptional activation; however, the transcriptional activity of wild-type E2A is silenced by high levels of corepressors, such as the AML1-ETO fusion protein in t(8;21) AML and ETO-2 in hematopoietic cells. -
Downregulation of Carnitine Acyl-Carnitine Translocase by Mirnas
Page 1 of 288 Diabetes 1 Downregulation of Carnitine acyl-carnitine translocase by miRNAs 132 and 212 amplifies glucose-stimulated insulin secretion Mufaddal S. Soni1, Mary E. Rabaglia1, Sushant Bhatnagar1, Jin Shang2, Olga Ilkayeva3, Randall Mynatt4, Yun-Ping Zhou2, Eric E. Schadt6, Nancy A.Thornberry2, Deborah M. Muoio5, Mark P. Keller1 and Alan D. Attie1 From the 1Department of Biochemistry, University of Wisconsin, Madison, Wisconsin; 2Department of Metabolic Disorders-Diabetes, Merck Research Laboratories, Rahway, New Jersey; 3Sarah W. Stedman Nutrition and Metabolism Center, Duke Institute of Molecular Physiology, 5Departments of Medicine and Pharmacology and Cancer Biology, Durham, North Carolina. 4Pennington Biomedical Research Center, Louisiana State University system, Baton Rouge, Louisiana; 6Institute for Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York. Corresponding author Alan D. Attie, 543A Biochemistry Addition, 433 Babcock Drive, Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, (608) 262-1372 (Ph), (608) 263-9608 (fax), [email protected]. Running Title: Fatty acyl-carnitines enhance insulin secretion Abstract word count: 163 Main text Word count: 3960 Number of tables: 0 Number of figures: 5 Diabetes Publish Ahead of Print, published online June 26, 2014 Diabetes Page 2 of 288 2 ABSTRACT We previously demonstrated that micro-RNAs 132 and 212 are differentially upregulated in response to obesity in two mouse strains that differ in their susceptibility to obesity-induced diabetes. Here we show the overexpression of micro-RNAs 132 and 212 enhances insulin secretion (IS) in response to glucose and other secretagogues including non-fuel stimuli. We determined that carnitine acyl-carnitine translocase (CACT, Slc25a20) is a direct target of these miRNAs. -
Genome-Wide Screening Identifies Genes and Biological Processes
Louisiana State University LSU Digital Commons LSU Doctoral Dissertations Graduate School 10-12-2018 Genome-Wide Screening Identifies Genes and Biological Processes Implicated in Chemoresistance and Oncogene-Induced Apoptosis Tengyu Ko Louisiana State University and Agricultural and Mechanical College, [email protected] Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_dissertations Part of the Cancer Biology Commons, Cell Biology Commons, and the Genomics Commons Recommended Citation Ko, Tengyu, "Genome-Wide Screening Identifies Genes and Biological Processes Implicated in Chemoresistance and Oncogene- Induced Apoptosis" (2018). LSU Doctoral Dissertations. 4715. https://digitalcommons.lsu.edu/gradschool_dissertations/4715 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Doctoral Dissertations by an authorized graduate school editor of LSU Digital Commons. For more information, please [email protected]. GENOME-WIDE SCREENING IDENTIFIES GENES AND BIOLOGICAL PROCESSES IMPLICATED IN CHEMORESISTANCE AND ONCOGENE- INDUCED APOPTOSIS A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical and Veterinary Medical Sciences through the Department of Comparative Biomedical Sciences by Tengyu Ko B.S., University of California, Santa Barbara 2010 December 2018 ACKNOWLEDGEMENTS I would like to express my sincerest gratitude to my major supervisor Dr. Shisheng Li for giving me the opportunity to join his team and the freedom to pursue projects. I appreciate all of his thoughts and efforts. Truly, none of these findings would be possible without his supervisions, supports, insightful discussions, and patience. -
A Choice Between Transcriptional Enhancement and Repression by the V-Erba Oncoprotein Governed by One Nucleotide in a Thyroid Hormone Responsive Half Site
Oncogene (2000) 19, 3563 ± 3569 ã 2000 Macmillan Publishers Ltd All rights reserved 0950 ± 9232/00 $15.00 www.nature.com/onc A choice between transcriptional enhancement and repression by the v-erbA oncoprotein governed by one nucleotide in a thyroid hormone responsive half site ML Andersson1 and B VennstroÈ m*,1 1Department of Cell and Molecular Biology (CMB), Karolinska Institute, Box 285, S-171 77 Stockholm, Sweden The v-erbA oncoprotein (P75gag-v-erbA) can repress thyroid paradigm view of P75gag-v-erbA in transcription is that hormone receptor induced transcriptional activation of P75gag-v-erbA functions as a dominant transcriptional target genes. A central question is how hormone repressor on activated transcription induced by TR responsive elements in a target gene determine the (Damm et al., 1989; Disela et al., 1991; Zenke et al., transcriptional regulation mediated by P75gag-v-erbA.We 1988). addressed this with receptors chimeric between Hormone response elements for TR (TREs) have P75gag-v-erbA and thyroid hormone receptor (TR) by testing been identi®ed in upstream or intron regions of several their regulatory activities on thyroid hormone response genes that are important in development and in elements (TREs) diering in the sequence of the homeostasis (Baniahmad et al., 1990; Desai-Yajnik et consensus core recognition motif AGGTCA. We report al., 1995; Farsetti et al., 1992; Glass et al., 1987; Petty here that enhances, TR dependent transcriptional et al., 1990; Tsika et al., 1990; WahlstroÈ m et al., 1992; activation is conferred by P75gag-v-erbA when the thymidine Wong et al., 1997). These elements contain AGGTCA in the half site recognition motif is exchanged for an or AGGACA hexamers in which two or more motifs adenosine. -
Mirnas in Control of Oncogenic Signaling in Breast Cancer Cells
miRNAs in control of oncogenic signaling in breast cancer cells Von der Fakultät Energie-, Verfahrens- und Biotechnik der Universität Stuttgart zur Erlangung der Würde eines Doktors der Naturwissen- schaften (Dr. rer. nat.) genehmigte Abhandlung Vorgelegt von Annabell Bischoff aus Segnitz Hauptberichter: Prof. Dr. Monilola Olayioye Mitberichter: Prof. Dr. Klaus Pfizenmaier Tag der mündlichen Prüfung: 12.11.2014 Institut für Zellbiologie und Immunologie Universität Stuttgart 2014 2 2 3 Eidesstattliche Erklärung Hiermit erkläre ich, Annabell Bischoff, dass ich die vorliegende Arbeit selbständig angefertigt habe. Es wurden nur die in der Arbeit ausdrücklich benannten Quellen und Hilfsmittel be- nutzt. Wörtlich oder sinngemäß übernommenes Gedankengut habe ich als solches kenntlich gemacht. I hereby assure that I performed this work independently without further help or other materi- als than stated. ______________________ ______________________ Datum, Ort Unterschrift 3 4 4 5 Table of content Eidesstattliche Erklärung ....................................................................................................... 3 Table of content ..................................................................................................................... 5 Abbreviations ........................................................................................................................ 9 Abstract ................................................................................................................................13 Zusammenfassung -
Mechanisms of Prokaryotic Gene Regulation
Overview: Conducting the Genetic Orchestra • Prokaryotes and eukaryotes alter gene expression in response to their changing environment • In multicellular eukaryotes, gene expression regulates development and is responsible for differences in cell types • RNA molecules play many roles in regulating gene expression in eukaryotes Copyright © 2008 Pearson Education Inc., publishing as Pearson Benjamin Cummings Fig. 18-1 1 Concept 18.1: Bacteria often respond to environmental change by regulating transcription • Natural selection has favored bacteria that produce only the products needed by that cell • A cell can regulate the production of enzymes by feedback inhibition or by gene regulation • Gene expression in bacteria is controlled by the operon model Copyright © 2008 Pearson Education Inc., publishing as Pearson Benjamin Cummings Fig. 18-2 Precursor Feedback inhibition trpE gene Enzyme 1 trpD gene Regulation of gene expression Enzyme 2 trpC gene trpB gene Enzyme 3 trpA gene Tryptophan (a) Regulation of enzyme (b) Regulation of enzyme activity production 2 Operons: The Basic Concept • A cluster of functionally related genes can be under coordinated control by a single on-off “switch” • The regulatory “switch” is a segment of DNA called an operator usually positioned within the promoter • An operon is the entire stretch of DNA that includes the operator, the promoter, and the genes that they control Copyright © 2008 Pearson Education Inc., publishing as Pearson Benjamin Cummings • The operon can be switched off by a protein repressor • The repressor prevents gene transcription by binding to the operator and blocking RNA polymerase • The repressor is the product of a separate regulatory gene Copyright © 2008 Pearson Education Inc., publishing as Pearson Benjamin Cummings 3 • The repressor can be in an active or inactive form, depending on the presence of other molecules • A corepressor is a molecule that cooperates with a repressor protein to switch an operon off • For example, E.