The SAGA Chromatin-Modifying Complex: the Sum of Its Parts Is Greater Than the Whole
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SF3B3) and Sin3a Associated Protein 130 (SAP130
cells Communication Ambiguity about Splicing Factor 3b Subunit 3 (SF3B3) and Sin3A Associated Protein 130 (SAP130) Paula I. Metselaar 1,* , Celine Hos 1, Olaf Welting 1, Jos A. Bosch 2,3, Aletta D. Kraneveld 4 , Wouter J. de Jonge 1 and Anje A. Te Velde 1 1 Tytgat Institute for Liver and Intestinal Research, AGEM, Amsterdam UMC, University of Amsterdam, 1105BK Amsterdam, The Netherlands; [email protected] (C.H.); [email protected] (O.W.); [email protected] (W.J.d.J.); [email protected] (A.A.T.V.) 2 Department of Psychology, University of Amsterdam, 1018WS Amsterdam, The Netherlands; [email protected] 3 Department of Medical Psychology, Amsterdam UMC, University of Amsterdam, 1001NK Amsterdam, The Netherlands 4 Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, 3584CG Utrecht, The Netherlands; [email protected] * Correspondence: [email protected] Abstract: In 2020, three articles were published on a protein that can activate the immune system by binding to macrophage-inducible C-type lectin receptor (Mincle). In the articles, the protein was referred to as ‘SAP130, a subunit of the histone deacetylase complex.’ However, the Mincle ligand the authors aimed to investigate is splicing factor 3b subunit 3 (SF3B3). This splicing factor is unrelated to SAP130 (Sin3A associated protein 130, a subunit of the histone deacetylase-dependent Sin3A corepressor complex). The conclusions in the three articles were formulated for SF3B3, Citation: Metselaar, P.I.; Hos, C.; while the researchers used qPCR primers and antibodies against SAP130. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-Like Mouse Models: Tracking the Role of the Hairless Gene
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 5-2006 Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene Yutao Liu University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Life Sciences Commons Recommended Citation Liu, Yutao, "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino- like Mouse Models: Tracking the Role of the Hairless Gene. " PhD diss., University of Tennessee, 2006. https://trace.tennessee.edu/utk_graddiss/1824 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Yutao Liu entitled "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Life Sciences. Brynn H. Voy, Major Professor We have read this dissertation and recommend its acceptance: Naima Moustaid-Moussa, Yisong Wang, Rogert Hettich Accepted for the Council: Carolyn R. -
SF3B2-Mediated RNA Splicing Drives Human Prostate Cancer Progression
Published OnlineFirst August 20, 2019; DOI: 10.1158/0008-5472.CAN-18-3965 Cancer Molecular Cell Biology Research SF3B2-Mediated RNA Splicing Drives Human Prostate Cancer Progression Norihiko Kawamura1,2, Keisuke Nimura1, Kotaro Saga1, Airi Ishibashi1, Koji Kitamura1,3, Hiromichi Nagano1, Yusuke Yoshikawa4, Kyoso Ishida1,5, Norio Nonomura2, Mitsuhiro Arisawa4, Jun Luo6, and Yasufumi Kaneda1 Abstract Androgen receptor splice variant-7 (AR-V7) is a General RNA splicing SF3B2 complex-mediated alternative RNA splicing constitutively active AR variant implicated in U2 castration-resistant prostate cancers. Here, we show U2 snRNA that the RNA splicing factor SF3B2, identified by 3’ 3’ in silico and CRISPR/Cas9 analyses, is a critical 5’ 3’ splice site 5’ SF3B7 AR-V7 5’ A U2AF2 AGA Exon ? determinant of expression and is correlated SF3B6(p14) SF3B4 SF3B1 SF3B4 SF3B1 with aggressive cancer phenotypes. Transcriptome SF3B5 SF3B2 SF3B3 SF3B2 SF3B3 and PAR-CLIP analyses revealed that SF3B2 con- SF3A3 SF3B2 complex SF3A3 SF3A1 SF3A1 SF3b complex trols the splicing of target genes, including AR, to AR pre-mRNA drive aggressive phenotypes. SF3B2-mediated CE3 aggressive phenotypes in vivo were reversed by AR-V7 mRNA AR mRNA AR-V7 knockout. Pladienolide B, an inhibitor of CE3 a splicing modulator of the SF3b complex, sup- Drive malignancy pressed the growth of tumors addicted to high While the SF3b complex is critical for general RNA splicing, SF3B2 promotes inclusion of the target exon through recognizing a specific RNA motif. SF3B2 expression. These findings support the idea © 2019 American Association for Cancer Research that alteration of the splicing pattern by high SF3B2 expression is one mechanism underlying prostate cancer progression and therapeutic resistance. -
Taenia Solium TAF6 and TAF9 Binds to a Putative Downstream Promoter Element
bioRxiv preprint doi: https://doi.org/10.1101/106997; this version posted February 8, 2017. 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. Taenia solium TAF6 and TAF9 binds to a putative Downstream Promoter Element present in TsTBP1 gene core promoter. Oscar Rodríguez-Lima1, #a, Ponciano García-Gutierrez2, Lucía Jimenez1, Angel Zarain-Herzberg3, Roberto Lazarini4 and Abraham Landa1*. 1Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México. Ciudad de México, México. 2Departamento de Química, Universidad Autónoma Metropolitana–Iztapalapa. Ciudad de México, México. 3Departamento de Bioquímica, Facultad de Medicina, Universidad Nacional Autónoma de México. Ciudad de México, México. 4Departamento de Biología Experimental, Universidad Autónoma Metropolitana– Iztapalapa. Ciudad de México, México. #a Current address: Center for Integrative Genomics, Lausanne University, Lausanne, Switzerland. *Corresponding author: Abraham Landa, Ph.D. Universidad Nacional Autónoma de México. Departamento de Microbiología y Parasitología, Facultad de Medicina Edificio A 2do piso. Ciudad Universitaria. CDMX 04510, México Phone: (52 55) 56-23-23-57, Fax: (52 55) 56-23-23-82, Email: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/106997; this version posted February 8, 2017. 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. -
1 Supporting Information for a Microrna Network Regulates
Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia. -
Molecular Structure of Promoter-Bound Yeast TFIID
ARTICLE DOI: 10.1038/s41467-018-07096-y OPEN Molecular structure of promoter-bound yeast TFIID Olga Kolesnikova 1,2,3,4, Adam Ben-Shem1,2,3,4, Jie Luo5, Jeff Ranish 5, Patrick Schultz 1,2,3,4 & Gabor Papai 1,2,3,4 Transcription preinitiation complex assembly on the promoters of protein encoding genes is nucleated in vivo by TFIID composed of the TATA-box Binding Protein (TBP) and 13 TBP- associate factors (Tafs) providing regulatory and chromatin binding functions. Here we present the cryo-electron microscopy structure of promoter-bound yeast TFIID at a resolu- 1234567890():,; tion better than 5 Å, except for a flexible domain. We position the crystal structures of several subunits and, in combination with cross-linking studies, describe the quaternary organization of TFIID. The compact tri lobed architecture is stabilized by a topologically closed Taf5-Taf6 tetramer. We confirm the unique subunit stoichiometry prevailing in TFIID and uncover a hexameric arrangement of Tafs containing a histone fold domain in the Twin lobe. 1 Department of Integrated Structural Biology, Equipe labellisée Ligue Contre le Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch 67404, France. 2 Centre National de la Recherche Scientifique, UMR7104, 67404 Illkirch, France. 3 Institut National de la Santé et de la Recherche Médicale, U1258, 67404 Illkirch, France. 4 Université de Strasbourg, Illkirch 67404, France. 5 Institute for Systems Biology, Seattle, WA 98109, USA. These authors contributed equally: Olga Kolesnikova, Adam Ben-Shem. Correspondence and requests for materials should be addressed to P.S. (email: [email protected]) or to G.P. -
Supplementary Methods
Weake2009 Supplemental Methods 1 Supplemental methods Preparation of soluble nuclear extracts, affinity purification and MudPIT analysis Nuclear extracts were prepared and affinity purifications conducted from 4 L of S2 cells grown to a density of 1 x 107cells/mL in Hyclone SFX media with low/no copper induction. Cells were collected by centrifugation at 5000 rpm 15 min 4ºC and washed in Wash Buffer (10 mM HEPEs [Na+], pH 7.5; 140 mM NaCl). Cells were resuspended in + 40mL of Buffer I (15 mM HEPEs [Na ] pH 7.5; 10 mM KCl, 5 mM MgCl2; 0.1 mM EDTA; 0.5 mM EGTA; 350 mM sucrose; supplemented with 20 g/mL leupeptin, 20 g/mL pepstatin and 100 M PMSF) and disrupted by 40 strokes in a Dounce homogenizer with the loose pestle. Nuclei were collected by centrifugation at 10,400 x g 15 min 4ºC and washed once with 40 mL of Buffer I. The soluble nuclear fraction was isolated by resuspending nuclei in 20 mL of Extraction Buffer (20 mM HEPEs [Na+], pH 7.5; 10% glycerol; 350 mM NaCl; 1 mM MgCl2; 0.1% TritonX-100; supplemented with 20 g/mL leupeptin, 20 g/mL pepstatin and 100 M PMSF) for 1 h 4ºC with rotation, followed by centrifugation to pellet the insoluble chromatin fraction at 18,000 x g 10 min 4ºC. The soluble nuclear extract was cleared by centrifugation at 40,000 rpm 1.5 h 4ºC. Nuclear extracts were diluted to a final salt concentration of 300 mM NaCl and incubated with FLAG-agarose. -
Molecular Mechanisms of Ribosomal Protein Gene Coregulation
Downloaded from genesdev.cshlp.org on October 3, 2021 - Published by Cold Spring Harbor Laboratory Press Molecular mechanisms of ribosomal protein gene coregulation Rohit Reja, Vinesh Vinayachandran, Sujana Ghosh, and B. Franklin Pugh Center for Eukaryotic Gene Regulation, Pennsylvania State University, University Park, Pennsylvania 16802, USA The 137 ribosomal protein genes (RPGs) of Saccharomyces provide a model for gene coregulation. We examined the positional and functional organization of their regulators (Rap1 [repressor activator protein 1], Fhl1, Ifh1, Sfp1, and Hmo1), the transcription machinery (TFIIB, TFIID, and RNA polymerase II), and chromatin at near-base-pair res- olution using ChIP-exo, as RPGs are coordinately reprogrammed. Where Hmo1 is enriched, Fhl1, Ifh1, Sfp1, and Hmo1 cross-linked broadly to promoter DNA in an RPG-specific manner and demarcated by general minor groove widening. Importantly, Hmo1 extended 20–50 base pairs (bp) downstream from Fhl1. Upon RPG repression, Fhl1 remained in place. Hmo1 dissociated, which was coupled to an upstream shift of the +1 nucleosome, as reflected by the Hmo1 extension and core promoter region. Fhl1 and Hmo1 may create two regulatable and positionally distinct barriers, against which chromatin remodelers position the +1 nucleosome into either an activating or a repressive state. Consistent with in vitro studies, we found that specific TFIID subunits, in addition to cross-linking at the core promoter, made precise cross-links at Rap1 sites, which we interpret to reflect native Rap1–TFIID interactions. Our findings suggest how sequence-specific DNA binding regulates nucleosome positioning and transcription complex assembly >300 bp away and how coregulation coevolved with coding sequences. -
Novel Candidate Genes of Thyroid Tumourigenesis Identified in Trk-T1 Transgenic Mice
Endocrine-Related Cancer (2012) 19 409–421 Novel candidate genes of thyroid tumourigenesis identified in Trk-T1 transgenic mice Katrin-Janine Heiliger*, Julia Hess*, Donata Vitagliano1, Paolo Salerno1, Herbert Braselmann, Giuliana Salvatore 2, Clara Ugolini 3, Isolde Summerer 4, Tatjana Bogdanova5, Kristian Unger 6, Gerry Thomas6, Massimo Santoro1 and Horst Zitzelsberger Research Unit of Radiation Cytogenetics, Helmholtz Zentrum Mu¨nchen, Ingolsta¨dter Landstr. 1, 85764 Neuherberg, Germany 1Istituto di Endocrinologia ed Oncologia Sperimentale del CNR, c/o Dipartimento di Biologia e Patologia Cellulare e Molecolare, Universita` Federico II, Naples 80131, Italy 2Dipartimento di Studi delle Istituzioni e dei Sistemi Territoriali, Universita` ‘Parthenope’, Naples 80133, Italy 3Division of Pathology, Department of Surgery, University of Pisa, 56100 Pisa, Italy 4Institute of Radiation Biology, Helmholtz Zentrum Mu¨nchen, 85764 Neuherberg, Germany 5Institute of Endocrinology and Metabolism, Academy of Medical Sciences of the Ukraine, 254114 Kiev, Ukraine 6Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London W12 0HS, UK (Correspondence should be addressed to H Zitzelsberger; Email: [email protected]) *(K-J Heiliger and J Hess contributed equally to this work) Abstract For an identification of novel candidate genes in thyroid tumourigenesis, we have investigated gene copy number changes in a Trk-T1 transgenic mouse model of thyroid neoplasia. For this aim, 30 thyroid tumours from Trk-T1 transgenics were investigated by comparative genomic hybridisation. Recurrent gene copy number alterations were identified and genes located in the altered chromosomal regions were analysed by Gene Ontology term enrichment analysis in order to reveal gene functions potentially associated with thyroid tumourigenesis. In thyroid neoplasms from Trk-T1 mice, a recurrent gain on chromosomal bands 1C4–E2.3 (10.0% of cases), and losses on 3H1–H3 (13.3%), 4D2.3–E2 (43.3%) and 14E4–E5 (6.7%) were identified. -
Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways
biomolecules Article Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways Aayushi Srivastava 1,2,3,4 , Abhishek Kumar 1,5,6 , Sara Giangiobbe 1, Elena Bonora 7, Kari Hemminki 1, Asta Försti 1,2,3 and Obul Reddy Bandapalli 1,2,3,* 1 Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany; [email protected] (A.S.); [email protected] (A.K.); [email protected] (S.G.); [email protected] (K.H.); [email protected] (A.F.) 2 Hopp Children’s Cancer Center (KiTZ), D-69120 Heidelberg, Germany 3 Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120 Heidelberg, Germany 4 Medical Faculty, Heidelberg University, D-69120 Heidelberg, Germany 5 Institute of Bioinformatics, International Technology Park, Bangalore 560066, India 6 Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India 7 S.Orsola-Malphigi Hospital, Unit of Medical Genetics, 40138 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +49-6221-42-1709 Received: 29 August 2019; Accepted: 10 October 2019; Published: 13 October 2019 Abstract: Evidence of familial inheritance in non-medullary thyroid cancer (NMTC) has accumulated over the last few decades. However, known variants account for a very small percentage of the genetic burden. Here, we focused on the identification of common pathways and networks enriched in NMTC families to better understand its pathogenesis with the final aim of identifying one novel high/moderate-penetrance germline predisposition variant segregating with the disease in each studied family. -
TAF10 Complex Provides Evidence for Nuclear Holo&Ndash;TFIID Assembly from Preform
ARTICLE Received 13 Aug 2014 | Accepted 2 Dec 2014 | Published 14 Jan 2015 DOI: 10.1038/ncomms7011 OPEN Cytoplasmic TAF2–TAF8–TAF10 complex provides evidence for nuclear holo–TFIID assembly from preformed submodules Simon Trowitzsch1,2, Cristina Viola1,2, Elisabeth Scheer3, Sascha Conic3, Virginie Chavant4, Marjorie Fournier3, Gabor Papai5, Ima-Obong Ebong6, Christiane Schaffitzel1,2, Juan Zou7, Matthias Haffke1,2, Juri Rappsilber7,8, Carol V. Robinson6, Patrick Schultz5, Laszlo Tora3 & Imre Berger1,2,9 General transcription factor TFIID is a cornerstone of RNA polymerase II transcription initiation in eukaryotic cells. How human TFIID—a megadalton-sized multiprotein complex composed of the TATA-binding protein (TBP) and 13 TBP-associated factors (TAFs)— assembles into a functional transcription factor is poorly understood. Here we describe a heterotrimeric TFIID subcomplex consisting of the TAF2, TAF8 and TAF10 proteins, which assembles in the cytoplasm. Using native mass spectrometry, we define the interactions between the TAFs and uncover a central role for TAF8 in nucleating the complex. X-ray crystallography reveals a non-canonical arrangement of the TAF8–TAF10 histone fold domains. TAF2 binds to multiple motifs within the TAF8 C-terminal region, and these interactions dictate TAF2 incorporation into a core–TFIID complex that exists in the nucleus. Our results provide evidence for a stepwise assembly pathway of nuclear holo–TFIID, regulated by nuclear import of preformed cytoplasmic submodules. 1 European Molecular Biology Laboratory, Grenoble Outstation, 6 rue Jules Horowitz, 38042 Grenoble, France. 2 Unit for Virus Host-Cell Interactions, University Grenoble Alpes-EMBL-CNRS, 6 rue Jules Horowitz, 38042 Grenoble, France. 3 Cellular Signaling and Nuclear Dynamics Program, Institut de Ge´ne´tique et de Biologie Mole´culaire et Cellulaire, UMR 7104, INSERM U964, 1 rue Laurent Fries, 67404 Illkirch, France.