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The Nurd Complex Cooperates with Dnmts to Maintain Silencing of Key Colorectal Tumor Suppressor Genes
Oncogene (2014) 33, 2157–2168 & 2014 Macmillan Publishers Limited All rights reserved 0950-9232/14 www.nature.com/onc ORIGINAL ARTICLE The NuRD complex cooperates with DNMTs to maintain silencing of key colorectal tumor suppressor genes Y Cai1,6, E-J Geutjes2,6, K de Lint2, P Roepman3, L Bruurs2, L-R Yu4, W Wang1, J van Blijswijk2, H Mohammad1, I de Rink5, R Bernards2 and SB Baylin1 Many tumor suppressor genes (TSGs) are silenced through synergistic layers of epigenetic regulation including abnormal DNA hypermethylation of promoter CpG islands, repressive chromatin modifications and enhanced nucleosome deposition over transcription start sites. The protein complexes responsible for silencing of many of such TSGs remain to be identified. Our previous work demonstrated that multiple silenced TSGs in colorectal cancer cells can be partially reactivated by DNA demethylation in cells disrupted for the DNA methyltransferases 1 and 3B (DNMT1 and 3B) or by DNMT inhibitors (DNMTi). Herein, we used proteomic and functional genetic approaches to identify additional proteins that cooperate with DNMTs in silencing these key silenced TSGs in colon cancer cells. We discovered that DNMTs and the core components of the NuRD (Mi-2/nucleosome remodeling and deacetylase) nucleosome remodeling complex, chromo domain helicase DNA-binding protein 4 (CHD4) and histone deacetylase 1 (HDAC1) occupy the promoters of several of these hypermethylated TSGs and physically and functionally interact to maintain their silencing. Consistent with this, we find an inverse relationship between expression of HDAC1 and 2 and these TSGs in a large panel of primary colorectal tumors. We demonstrate that DNMTs and NuRD cooperate to maintain the silencing of several negative regulators of the WNT and other signaling pathways. -
The Role of PU.1 and GATA-1 Transcription Factors During Normal and Leukemogenic Hematopoiesis
Leukemia (2010) 24, 1249–1257 & 2010 Macmillan Publishers Limited All rights reserved 0887-6924/10 www.nature.com/leu REVIEW The role of PU.1 and GATA-1 transcription factors during normal and leukemogenic hematopoiesis P Burda1, P Laslo2 and T Stopka1,3 1Department of Pathophysiology and Center of Experimental Hematology, First Faculty of Medicine, Charles University, Prague, Czech Republic; 2Section of Experimental Haematology, Leeds Institute of Molecular Medicine, University of Leads, St James’s University Hospital, Leeds, UK and 31st Department of Medicine-Hematology, General University Hospital, Prague, Czech Republic Hematopoiesis is coordinated by a complex regulatory network Additional domains include an N-terminal acidic domain and a of transcription factors and among them PU.1 (Spi1, Sfpi1) glutamine-rich domain, both involved in transcriptional activa- represents a key molecule. This review summarizes the tion, as well as a PEST domain involved in protein–protein indispensable requirement of PU.1 during hematopoietic cell fate decisions and how the function of PU.1 can be modulated interactions. PU.1 protein can be modified post-translationally by protein–protein interactions with additional factors. The by phosporylation at serines 41 (N-terminal acidic domain) and mutual negative regulation between PU.1 and GATA-1 is 142 and 148 (PEST domain), which results in augmented detailed within the context of normal and leukemogenic activity. hematopoiesis and the concept of ‘differentiation therapy’ to The PU.1 protein can physically interact with a variety of restore normal cellular differentiation of leukemic cells is regulatory factors including (i) general transcription factors discussed. Leukemia (2010) 24, 1249–1257; doi:10.1038/leu.2010.104; (TFIID, TBP), (ii) early hematopoietic transcription factors published online 3 June 2010 (GATA-2 and Runx-1), (iii) erythroid factor (GATA-1) and (iv) Keywords: PU.1; leukemia differentiation; GATA-1; chromatin; non-erythroid factors (C/EBPa, C/EBPb, IRF4/8 and c-Jun). -
Activated Peripheral-Blood-Derived Mononuclear Cells
Transcription factor expression in lipopolysaccharide- activated peripheral-blood-derived mononuclear cells Jared C. Roach*†, Kelly D. Smith*‡, Katie L. Strobe*, Stephanie M. Nissen*, Christian D. Haudenschild§, Daixing Zhou§, Thomas J. Vasicek¶, G. A. Heldʈ, Gustavo A. Stolovitzkyʈ, Leroy E. Hood*†, and Alan Aderem* *Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103; ‡Department of Pathology, University of Washington, Seattle, WA 98195; §Illumina, 25861 Industrial Boulevard, Hayward, CA 94545; ¶Medtronic, 710 Medtronic Parkway, Minneapolis, MN 55432; and ʈIBM Computational Biology Center, P.O. Box 218, Yorktown Heights, NY 10598 Contributed by Leroy E. Hood, August 21, 2007 (sent for review January 7, 2007) Transcription factors play a key role in integrating and modulating system. In this model system, we activated peripheral-blood-derived biological information. In this study, we comprehensively measured mononuclear cells, which can be loosely termed ‘‘macrophages,’’ the changing abundances of mRNAs over a time course of activation with lipopolysaccharide (LPS). We focused on the precise mea- of human peripheral-blood-derived mononuclear cells (‘‘macro- surement of mRNA concentrations. There is currently no high- phages’’) with lipopolysaccharide. Global and dynamic analysis of throughput technology that can precisely and sensitively measure all transcription factors in response to a physiological stimulus has yet to mRNAs in a system, although such technologies are likely to be be achieved in a human system, and our efforts significantly available in the near future. To demonstrate the potential utility of advanced this goal. We used multiple global high-throughput tech- such technologies, and to motivate their development and encour- nologies for measuring mRNA levels, including massively parallel age their use, we produced data from a combination of two distinct signature sequencing and GeneChip microarrays. -
Protein Expression Profile of Gluconacetobacter Diazotrophicus PAL5, a Sugarcane Endophytic Plant Growth-Promoting Bacterium
Proteomics 2008, 8, 1631–1644 DOI 10.1002/pmic.200700912 1631 RESEARCH ARTICLE Protein expression profile of Gluconacetobacter diazotrophicus PAL5, a sugarcane endophytic plant growth-promoting bacterium Leticia M. S. Lery1, 2, Ana Coelho1, 3, Wanda M. A. von Kruger1, 2, Mayla S. M. Gonc¸alves1, 3, Marise F. Santos1, 4, Richard H. Valente1, 5, Eidy O. Santos1, 3, Surza L. G. Rocha1, 5, Jonas Perales1, 5, Gilberto B. Domont1, 4, Katia R. S. Teixeira1, 6 and Paulo M. Bisch1, 2 1 Rio de Janeiro Proteomics Network, Rio de Janeiro, Brazil 2 Unidade Multidisciplinar de Genômica, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil 3 Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil 4 Laboratório de Química de Proteínas, Departamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil 5 Laboratório de Toxinologia, Departamento de Fisiologia e Farmacodinâmica- Instituto Oswaldo Cruz- Fundac¸ão Oswaldo Cruz, Rio de Janeiro, Rio de Janeiro, Brazil 6 Laboratório de Genética e Bioquímica, Embrapa Agrobiologia, Seropédica, Brazil This is the first broad proteomic description of Gluconacetobacter diazotrophicus, an endophytic Received: September 25, 2007 bacterium, responsible for the major fraction of the atmospheric nitrogen fixed in sugarcane in Revised: December 18, 2007 tropical regions. Proteomic coverage of G. diazotrophicus PAL5 was obtained by two independent Accepted: December 19, 2007 approaches: 2-DE followed by MALDI-TOF or TOF-TOF MS and 1-DE followed by chromatog- raphy in a C18 column online coupled to an ESI-Q-TOF or ESI-IT mass spectrometer. -
An Animal Model with a Cardiomyocyte-Specific Deletion of Estrogen Receptor Alpha: Functional, Metabolic, and Differential Netwo
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2014 An animal model with a cardiomyocyte-specific deletion of estrogen receptor alpha: Functional, metabolic, and differential network analysis Sriram Devanathan Washington University School of Medicine in St. Louis Timothy Whitehead Washington University School of Medicine in St. Louis George G. Schweitzer Washington University School of Medicine in St. Louis Nicole Fettig Washington University School of Medicine in St. Louis Attila Kovacs Washington University School of Medicine in St. Louis See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Devanathan, Sriram; Whitehead, Timothy; Schweitzer, George G.; Fettig, Nicole; Kovacs, Attila; Korach, Kenneth S.; Finck, Brian N.; and Shoghi, Kooresh I., ,"An animal model with a cardiomyocyte-specific deletion of estrogen receptor alpha: Functional, metabolic, and differential network analysis." PLoS One.9,7. e101900. (2014). https://digitalcommons.wustl.edu/open_access_pubs/3326 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Sriram Devanathan, Timothy Whitehead, George G. Schweitzer, Nicole Fettig, Attila Kovacs, Kenneth S. Korach, Brian N. Finck, and Kooresh I. Shoghi This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/3326 An Animal Model with a Cardiomyocyte-Specific Deletion of Estrogen Receptor Alpha: Functional, Metabolic, and Differential Network Analysis Sriram Devanathan1, Timothy Whitehead1, George G. Schweitzer2, Nicole Fettig1, Attila Kovacs3, Kenneth S. -
The Unique Transcriptional Response Produced by Concurrent Estrogen
Need et al. BMC Cancer (2015) 15:791 DOI 10.1186/s12885-015-1819-3 RESEARCH ARTICLE Open Access The unique transcriptional response produced by concurrent estrogen and progesterone treatment in breast cancer cells results in upregulation of growth factor pathways and switching from a Luminal A to a Basal-like subtype Eleanor F. Need1*,LukeA.Selth2,3,AndrewP.Trotta1,4,DamienA.Leach1,LaurenGiorgio1, Melissa A. O’Loughlin1, Eric Smith5, Peter G. Gill6,WendyV.Ingman7,8, J. Dinny Graham9 and Grant Buchanan1,3 Abstract Background: In breast cancer, progesterone receptor (PR) positivity or abundance is positively associated with survival and treatment response. It was initially believed that PR was a useful diagnostic marker of estrogen receptor activity, but increasingly PR has been recognised to play an important biological role in breast homeostasis, carcinogenesis and metastasis. Although PR expression is almost exclusively observed in estrogen receptor positive tumors, few studies have investigated the cellular mechanisms of PR action in the context of ongoing estrogen signalling. Methods: In this study, we contrast PR function in estrogen pretreated ZR-75-1 breast cancer cells with vehicle treated ZR-75-1 and T-47D breast cancer cells using expression microarrays and chromatin immunoprecipitation-sequencing. Results: Estrogen cotreatment caused a dramatic increase in the number of genes regulated by progesterone in ZR-75-1 cells. In T-47D cells that have naturally high levels of PR, estrogen and progesterone cotreatment resulted in a reduction in the number of regulated genes in comparison to treatment with either hormone alone. At a genome level, estrogen pretreatment of ZR-75-1 cells led to a 10-fold increase in the number of PR DNA binding sites detected using ChIP-sequencing. -
The Phylogenetic Extent of Metabolic Enzymes and Pathways José Manuel Peregrin-Alvarez, Sophia Tsoka, Christos A
Downloaded from genome.cshlp.org on October 8, 2021 - Published by Cold Spring Harbor Laboratory Press Letter The Phylogenetic Extent of Metabolic Enzymes and Pathways José Manuel Peregrin-Alvarez, Sophia Tsoka, Christos A. Ouzounis1 Computational Genomics Group, The European Bioinformatics Institute, EMBL Cambridge Outstation, Cambridge CB10 1SD, UK The evolution of metabolic enzymes and pathways has been a subject of intense study for more than half a century. Yet, so far, previous studies have focused on a small number of enzyme families or biochemical pathways. Here, we examine the phylogenetic distribution of the full-known metabolic complement of Escherichia coli, using sequence comparison against taxa-specific databases. Half of the metabolic enzymes have homologs in all domains of life, representing families involved in some of the most fundamental cellular processes. We thus show for the first time and in a comprehensive way that metabolism is conserved at the enzyme level. In addition, our analysis suggests that despite the sequence conservation and the extensive phylogenetic distribution of metabolic enzymes, their groupings into biochemical pathways are much more variable than previously thought. One of the fundamental tenets in molecular biology was ex- reliable source of metabolic information. The EcoCyc data- pressed by Monod, in his famous phrase “What is true for base holds information about the full genome and all known Escherichia coli is true for the elephant” (Jacob 1988). For a metabolic pathways of Escherichia coli (Karp et al. 2000). Re- long time, this statement has inspired generations of molecu- cently, the database has been used to represent computational lar biologists, who have used Bacteria as model organisms to predictions of other organisms (Karp 2001). -
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. -
Deubiquitinases in Cancer: New Functions and Therapeutic Options
Oncogene (2012) 31, 2373–2388 & 2012 Macmillan Publishers Limited All rights reserved 0950-9232/12 www.nature.com/onc REVIEW Deubiquitinases in cancer: new functions and therapeutic options JM Fraile1, V Quesada1, D Rodrı´guez, JMP Freije and C Lo´pez-Otı´n Departamento de Bioquı´mica y Biologı´a Molecular, Facultad de Medicina, Instituto Universitario de Oncologı´a, Universidad de Oviedo, Oviedo, Spain Deubiquitinases (DUBs) have fundamental roles in the Hunter, 2010). Consistent with the functional relevance ubiquitin system through their ability to specifically of proteases in these processes, alterations in their deconjugate ubiquitin from targeted proteins. The human structure or in the mechanisms controlling their genome encodes at least 98 DUBs, which can be grouped spatiotemporal expression patterns and activities cause into 6 families, reflecting the need for specificity in diverse pathologies such as arthritis, neurodegenerative their function. The activity of these enzymes affects the alterations, cardiovascular diseases and cancer. Accord- turnover rate, activation, recycling and localization ingly, many proteases are an important focus of of multiple proteins, which in turn is essential for attention for the pharmaceutical industry either as drug cell homeostasis, protein stability and a wide range of targets or as diagnostic and prognostic biomarkers signaling pathways. Consistent with this, altered DUB (Turk, 2006; Drag and Salvesen, 2010). function has been related to several diseases, including The recent availability of the genome sequence cancer. Thus, multiple DUBs have been classified as of different organisms has facilitated the identification oncogenes or tumor suppressors because of their regula- of their entire protease repertoire, which has been tory functions on the activity of other proteins involved in defined as degradome (Lopez-Otin and Overall, 2002). -
WO 2013/180584 Al 5 December 2013 (05.12.2013) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2013/180584 Al 5 December 2013 (05.12.2013) P O P C T (51) International Patent Classification: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, C12N 1/21 (2006.01) C12N 15/74 (2006.01) BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, C12N 15/52 (2006.01) C12P 5/02 (2006.01) DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, C12N 15/63 (2006.01) HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/NZ20 13/000095 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, (22) International Filing Date: SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 4 June 2013 (04.06.2013) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 61/654,412 1 June 2012 (01 .06.2012) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, (71) Applicant: LANZATECH NEW ZEALAND LIMITED MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, [NZ/NZ]; 24 Balfour Road, Parnell, Auckland, 1052 (NZ). -
Yeast Genome Gazetteer P35-65
gazetteer Metabolism 35 tRNA modification mitochondrial transport amino-acid metabolism other tRNA-transcription activities vesicular transport (Golgi network, etc.) nitrogen and sulphur metabolism mRNA synthesis peroxisomal transport nucleotide metabolism mRNA processing (splicing) vacuolar transport phosphate metabolism mRNA processing (5’-end, 3’-end processing extracellular transport carbohydrate metabolism and mRNA degradation) cellular import lipid, fatty-acid and sterol metabolism other mRNA-transcription activities other intracellular-transport activities biosynthesis of vitamins, cofactors and RNA transport prosthetic groups other transcription activities Cellular organization and biogenesis 54 ionic homeostasis organization and biogenesis of cell wall and Protein synthesis 48 plasma membrane Energy 40 ribosomal proteins organization and biogenesis of glycolysis translation (initiation,elongation and cytoskeleton gluconeogenesis termination) organization and biogenesis of endoplasmic pentose-phosphate pathway translational control reticulum and Golgi tricarboxylic-acid pathway tRNA synthetases organization and biogenesis of chromosome respiration other protein-synthesis activities structure fermentation mitochondrial organization and biogenesis metabolism of energy reserves (glycogen Protein destination 49 peroxisomal organization and biogenesis and trehalose) protein folding and stabilization endosomal organization and biogenesis other energy-generation activities protein targeting, sorting and translocation vacuolar and lysosomal -
Roles of Amino Acids in the <Italic>Escherichia Coli</Italic
Article pubs.acs.org/biochemistry Roles of Amino Acids in the Escherichia coli Octaprenyl Diphosphate Synthase Active Site Probed by Structure-Guided Site-Directed Mutagenesis † ∥ † ‡ § † ‡ Keng-Ming Chang, Shih-Hsun Chen, Chih-Jung Kuo, , Chi-Kang Chang, Rey-Ting Guo, , ∥ † ‡ § Jinn-Moon Yang, and Po-Huang Liang*, , , † Institute of Biochemical Sciences, National Taiwan University, Taipei 106, Taiwan ‡ Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan § Institute of Biological Chemistry, Academia Sinica, Taipei 115, Taiwan ∥ Department of Biological Science and Technology, National Chiao Tung University, Hsin-Chu 300, Taiwan *S Supporting Information ABSTRACT: Octaprenyl diphosphate synthase (OPPS) catalyzes consecutive condensation reactions of farnesyl diphosphate (FPP) with five molecules of isopentenyl diphosphates (IPP) to generate C40 octaprenyl diphosphate, which constitutes the side chain of ubiquinone or menaquinone. To understand the roles of active site amino acids in substrate binding and catalysis, we conducted site- directed mutagenesis studies with Escherichia coli OPPS. In conclusion, D85 is the most important residue in the first DDXXD motif for both FPP and IPP binding through an H-bond network involving R93 and R94, respectively, whereas R94, K45, R48, and H77 are responsible for IPP binding by providing H-bonds and ionic interactions. K170 and T171 may stabilize the farnesyl carbocation intermediate to facilitate the reaction, whereas R93 and K225 may stabilize the catalytic base (MgPPi) for HR proton abstraction after IPP condensation. K225 and K235 in a flexible loop may interact with FPP when the enzyme becomes a closed conformation, which is therefore crucial for catalysis. Q208 is near the hydrophobic part of IPP and is important for IPP binding and catalysis.