Role of the Mediator Complex in Ethanol Tolerance in Yeast
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UC Riverside UC Riverside Previously Published Works
UC Riverside UC Riverside Previously Published Works Title Analysis of the Candida albicans Phosphoproteome. Permalink https://escholarship.org/uc/item/0663w2hr Journal Eukaryotic cell, 14(5) ISSN 1535-9778 Authors Willger, SD Liu, Z Olarte, RA et al. Publication Date 2015-05-01 DOI 10.1128/ec.00011-15 License https://creativecommons.org/licenses/by-nc-sa/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Analysis of the Candida albicans Phosphoproteome S. D. Willger,a Z. Liu,b R. A. Olarte,c M. E. Adamo,d J. E. Stajich,c L. C. Myers,b A. N. Kettenbach,b,d D. A. Hogana Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USAa; Department of Biochemistry, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USAb; Department of Plant Pathology and Microbiology, University of California, Riverside, California, USAc; Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USAd Candida albicans is an important human fungal pathogen in both immunocompetent and immunocompromised individuals. C. albicans regulation has been studied in many contexts, including morphological transitions, mating competence, biofilm forma- tion, stress resistance, and cell wall synthesis. Analysis of kinase- and phosphatase-deficient mutants has made it clear that pro- tein phosphorylation plays an important role in the regulation of these pathways. In this study, to further our understanding of phosphorylation in C. albicans regulation, we performed a deep analysis of the phosphoproteome in C. albicans. We identified 19,590 unique peptides that corresponded to 15,906 unique phosphosites on 2,896 proteins. -
Proteomic Analysis of the Mediator Complex Interactome in Saccharomyces Cerevisiae Received: 26 October 2016 Henriette Uthe, Jens T
www.nature.com/scientificreports OPEN Proteomic Analysis of the Mediator Complex Interactome in Saccharomyces cerevisiae Received: 26 October 2016 Henriette Uthe, Jens T. Vanselow & Andreas Schlosser Accepted: 25 January 2017 Here we present the most comprehensive analysis of the yeast Mediator complex interactome to date. Published: 27 February 2017 Particularly gentle cell lysis and co-immunopurification conditions allowed us to preserve even transient protein-protein interactions and to comprehensively probe the molecular environment of the Mediator complex in the cell. Metabolic 15N-labeling thereby enabled stringent discrimination between bona fide interaction partners and nonspecifically captured proteins. Our data indicates a functional role for Mediator beyond transcription initiation. We identified a large number of Mediator-interacting proteins and protein complexes, such as RNA polymerase II, general transcription factors, a large number of transcriptional activators, the SAGA complex, chromatin remodeling complexes, histone chaperones, highly acetylated histones, as well as proteins playing a role in co-transcriptional processes, such as splicing, mRNA decapping and mRNA decay. Moreover, our data provides clear evidence, that the Mediator complex interacts not only with RNA polymerase II, but also with RNA polymerases I and III, and indicates a functional role of the Mediator complex in rRNA processing and ribosome biogenesis. The Mediator complex is an essential coactivator of eukaryotic transcription. Its major function is to communi- cate regulatory signals from gene-specific transcription factors upstream of the transcription start site to RNA Polymerase II (Pol II) and to promote activator-dependent assembly and stabilization of the preinitiation complex (PIC)1–3. The yeast Mediator complex is composed of 25 subunits and forms four distinct modules: the head, the middle, and the tail module, in addition to the four-subunit CDK8 kinase module (CKM), which can reversibly associate with the 21-subunit Mediator complex. -
Molecular and Cellular Mechanisms of the Angiogenic Effect of Poly(Methacrylic Acid-Co-Methyl Methacrylate) Beads
Molecular and Cellular Mechanisms of the Angiogenic Effect of Poly(methacrylic acid-co-methyl methacrylate) Beads by Lindsay Elizabeth Fitzpatrick A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Institute of Biomaterials and Biomedical Engineering University of Toronto © Copyright by Lindsay Elizabeth Fitzpatrick 2012 Molecular and Cellular Mechanisms of the Angiogenic Effect of Poly(methacrylic acid-co-methyl methacrylate) Beads Lindsay Elizabeth Fitzpatrick Doctorate of Philosophy Institute of Biomaterials and Biomedical Engineering University of Toronto 2012 Abstract Poly(methacrylic acid -co- methyl methacrylate) beads were previously shown to have a therapeutic effect on wound closure through the promotion of angiogenesis. However, it was unclear how this polymer elicited its beneficial properties. The goal of this thesis was to characterize the host response to MAA beads by identifying molecules of interest involved in MAA-mediated angiogenesis (in comparison to poly(methyl methacrylate) beads, PMMA). Using a model of diabetic wound healing and a macrophage-like cell line (dTHP-1), eight molecules of interest were identified in the host response to MAA beads. Gene and/or protein expression analysis showed that MAA beads increased the expression of Shh, IL-1β, IL-6, TNF- α and Spry2, but decreased the expression of CXCL10 and CXCL12, compared to PMMA and no beads. MAA beads also appeared to modulate the expression of OPN. In vivo, the global gene expression of OPN was increased in wounds treated with MAA beads, compared to PMMA and no beads. In contrast, dTHP-1 decreased OPN gene expression compared to PMMA and no beads, but expressed the same amount of secreted OPN, suggesting that the cells decreased the expression of the intracellular isoform of OPN. -
2020 Program Book
PROGRAM BOOK Note that TAGC was cancelled and held online with a different schedule and program. This document serves as a record of the original program designed for the in-person meeting. April 22–26, 2020 Gaylord National Resort & Convention Center Metro Washington, DC TABLE OF CONTENTS About the GSA ........................................................................................................................................................ 3 Conference Organizers ...........................................................................................................................................4 General Information ...............................................................................................................................................7 Mobile App ....................................................................................................................................................7 Registration, Badges, and Pre-ordered T-shirts .............................................................................................7 Oral Presenters: Speaker Ready Room - Camellia 4.......................................................................................7 Poster Sessions and Exhibits - Prince George’s Exhibition Hall ......................................................................7 GSA Central - Booth 520 ................................................................................................................................8 Internet Access ..............................................................................................................................................8 -
Genome-Wide DNA Methylation Map of Human Neutrophils Reveals Widespread Inter-Individual Epigenetic Variation
www.nature.com/scientificreports OPEN Genome-wide DNA methylation map of human neutrophils reveals widespread inter-individual Received: 15 June 2015 Accepted: 29 October 2015 epigenetic variation Published: 27 November 2015 Aniruddha Chatterjee1,2, Peter A. Stockwell3, Euan J. Rodger1, Elizabeth J. Duncan2,4, Matthew F. Parry5, Robert J. Weeks1 & Ian M. Morison1,2 The extent of variation in DNA methylation patterns in healthy individuals is not yet well documented. Identification of inter-individual epigenetic variation is important for understanding phenotypic variation and disease susceptibility. Using neutrophils from a cohort of healthy individuals, we generated base-resolution DNA methylation maps to document inter-individual epigenetic variation. We identified 12851 autosomal inter-individual variably methylated fragments (iVMFs). Gene promoters were the least variable, whereas gene body and upstream regions showed higher variation in DNA methylation. The iVMFs were relatively enriched in repetitive elements compared to non-iVMFs, and were associated with genome regulation and chromatin function elements. Further, variably methylated genes were disproportionately associated with regulation of transcription, responsive function and signal transduction pathways. Transcriptome analysis indicates that iVMF methylation at differentially expressed exons has a positive correlation and local effect on the inclusion of that exon in the mRNA transcript. Methylation of DNA is a mechanism for regulating gene function in all vertebrates. It has a role in gene silencing, tissue differentiation, genomic imprinting, chromosome X inactivation, phenotypic plasticity, and disease susceptibility1,2. Aberrant DNA methylation has been implicated in the pathogenesis of sev- eral human diseases, especially cancer3–5. Variation in DNA methylation patterns in healthy individuals has been hypothesised to alter human phenotypes including susceptibility to common diseases6 and response to drug treatments7. -
1 Mutational Heterogeneity in Cancer Akash Kumar a Dissertation
Mutational Heterogeneity in Cancer Akash Kumar A dissertation Submitted in partial fulfillment of requirements for the degree of Doctor of Philosophy University of Washington 2014 June 5 Reading Committee: Jay Shendure Pete Nelson Mary Claire King Program Authorized to Offer Degree: Genome Sciences 1 University of Washington ABSTRACT Mutational Heterogeneity in Cancer Akash Kumar Chair of the Supervisory Committee: Associate Professor Jay Shendure Department of Genome Sciences Somatic mutation plays a key role in the formation and progression of cancer. Differences in mutation patterns likely explain much of the heterogeneity seen in prognosis and treatment response among patients. Recent advances in massively parallel sequencing have greatly expanded our capability to investigate somatic mutation. Genomic profiling of tumor biopsies could guide the administration of targeted therapeutics on the basis of the tumor’s collection of mutations. Central to the success of this approach is the general applicability of targeted therapies to a patient’s entire tumor burden. This requires a better understanding of the genomic heterogeneity present both within individual tumors (intratumoral) and amongst tumors from the same patient (intrapatient). My dissertation is broadly organized around investigating mutational heterogeneity in cancer. Three projects are discussed in detail: analysis of (1) interpatient and (2) intrapatient heterogeneity in men with disseminated prostate cancer, and (3) investigation of regional intratumoral heterogeneity in -
Functionally Diverse Dendritic Mrnas Rapidly Associate with Ribosomes Following a Novel Experience
ARTICLE Received 19 Feb 2014 | Accepted 24 Jun 2014 | Published 29 Jul 2014 DOI: 10.1038/ncomms5510 Functionally diverse dendritic mRNAs rapidly associate with ribosomes following a novel experience Joshua A. Ainsley1, Laurel Drane1, Jonathan Jacobs1, Kara A. Kittelberger1,w & Leon G. Reijmers1 The subcellular localization and translation of messenger RNA (mRNA) supports functional differentiation between cellular compartments. In neuronal dendrites, local translation of mRNA provides a rapid and specific mechanism for synaptic plasticity and memory forma- tion, and might be involved in the pathophysiology of certain brain disorders. Despite the importance of dendritic mRNA translation, little is known about which mRNAs can be translated in dendrites in vivo and when their translation occurs. Here we collect ribosome- bound mRNA from the dendrites of CA1 pyramidal neurons in the adult mouse hippocampus. We find that dendritic mRNA rapidly associates with ribosomes following a novel experience consisting of a contextual fear conditioning trial. High throughput RNA sequencing followed by machine learning classification reveals an unexpected breadth of ribosome-bound den- dritic mRNAs, including mRNAs expected to be entirely somatic. Our findings are in agree- ment with a mechanism of synaptic plasticity that engages the acute local translation of functionally diverse dendritic mRNAs. 1 Department of Neuroscience, Tufts University, Boston, Massachusetts 02111, USA. w Present address: Center for Translational Social Neuroscience, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30322, USA. Correspondence and requests for materials should be addressed to L.R. (email: [email protected]). NATURE COMMUNICATIONS | 5:4510 | DOI: 10.1038/ncomms5510 | www.nature.com/naturecommunications 1 & 2014 Macmillan Publishers Limited. -
FBXL19 Recruits CDK-Mediator to Cpg Islands of Developmental Genes Priming Them for Activation During Lineage Commitment
RESEARCH ARTICLE FBXL19 recruits CDK-Mediator to CpG islands of developmental genes priming them for activation during lineage commitment Emilia Dimitrova1, Takashi Kondo2†, Angelika Feldmann1†, Manabu Nakayama3, Yoko Koseki2, Rebecca Konietzny4‡, Benedikt M Kessler4, Haruhiko Koseki2,5, Robert J Klose1* 1Department of Biochemistry, University of Oxford, Oxford, United Kingdom; 2Laboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; 3Department of Technology Development, Kazusa DNA Research Institute, Kisarazu, Japan; 4Nuffield Department of Medicine, TDI Mass Spectrometry Laboratory, Target Discovery Institute, University of Oxford, Oxford, United Kingdom; 5CREST, Japan Science and Technology Agency, Kawaguchi, Japan Abstract CpG islands are gene regulatory elements associated with the majority of mammalian promoters, yet how they regulate gene expression remains poorly understood. Here, we identify *For correspondence: FBXL19 as a CpG island-binding protein in mouse embryonic stem (ES) cells and show that it [email protected] associates with the CDK-Mediator complex. We discover that FBXL19 recruits CDK-Mediator to †These authors contributed CpG island-associated promoters of non-transcribed developmental genes to prime these genes equally to this work for activation during cell lineage commitment. We further show that recognition of CpG islands by Present address: ‡Agilent FBXL19 is essential for mouse development. Together this reveals a new CpG island-centric Technologies, Waldbronn, mechanism for CDK-Mediator recruitment to developmental gene promoters in ES cells and a Germany requirement for CDK-Mediator in priming these developmental genes for activation during cell lineage commitment. Competing interests: The DOI: https://doi.org/10.7554/eLife.37084.001 authors declare that no competing interests exist. -
A Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic Buffering of Doxorubicin Sean M
Santos and Hartman Cancer & Metabolism (2019) 7:9 https://doi.org/10.1186/s40170-019-0201-3 RESEARCH Open Access A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin Sean M. Santos and John L. Hartman IV* Abstract Background: The influence of the Warburg phenomenon on chemotherapy response is unknown. Saccharomyces cerevisiae mimics the Warburg effect, repressing respiration in the presence of adequate glucose. Yeast phenomic experiments were conducted to assess potential influences of Warburg metabolism on gene-drug interaction underlying the cellular response to doxorubicin. Homologous genes from yeast phenomic and cancer pharmacogenomics data were analyzed to infer evolutionary conservation of gene-drug interaction and predict therapeutic relevance. Methods: Cell proliferation phenotypes (CPPs) of the yeast gene knockout/knockdown library were measured by quantitative high-throughput cell array phenotyping (Q-HTCP), treating with escalating doxorubicin concentrations under conditions of respiratory or glycolytic metabolism. Doxorubicin-gene interaction was quantified by departure of CPPs observed for the doxorubicin-treated mutant strain from that expected based on an interaction model. Recursive expectation-maximization clustering (REMc) and Gene Ontology (GO)-based analyses of interactions identified functional biological modules that differentially buffer or promote doxorubicin cytotoxicity with respect to Warburg metabolism. Yeast phenomic and cancer pharmacogenomics data were integrated to predict differential gene expression causally influencing doxorubicin anti-tumor efficacy. Results: Yeast compromised for genes functioning in chromatin organization, and several other cellular processes are more resistant to doxorubicin under glycolytic conditions. Thus, the Warburg transition appears to alleviate requirements for cellular functions that buffer doxorubicin cytotoxicity in a respiratory context. -
Anti-MED18 Antibody (ARG59208)
Product datasheet [email protected] ARG59208 Package: 50 μg anti-MED18 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes MED18 Tested Reactivity Hu, Ms, Rat Tested Application FACS, ICC/IF, IHC-P, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name MED18 Species Human Immunogen Recombinant protein corresponding to M1-M208 of Human MED18. Conjugation Un-conjugated Alternate Names Mediator of RNA polymerase II transcription subunit 18; p28b; Mediator complex subunit 18 Application Instructions Application table Application Dilution FACS 1:150 - 1:500 ICC/IF 1:200 - 1:1000 IHC-P 0.5 - 1 µg/ml WB 0.1 - 0.5 µg/ml Application Note IHC-P: Antigen Retrieval: Heat mediation was performed in Citrate buffer (pH 6.0) for 20 min. * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Properties Form Liquid Purification Affinity purification with immunogen. Buffer 0.9% NaCl, 0.2% Na2HPO4, 0.05% Sodium azide and 5% BSA. Preservative 0.05% Sodium azide Stabilizer 5% BSA Concentration 0.5 mg/ml Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. www.arigobio.com 1/4 Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol MED18 Gene Full Name mediator complex subunit 18 Background MED18 is a component of the Mediator complex, which is a coactivator for DNA-binding factors that activate transcription via RNA polymerase II (Sato et al., 2003 [PubMed 12584197]).[supplied by OMIM, Oct 2008] Function Component of the Mediator complex, a coactivator involved in the regulated transcription of nearly all RNA polymerase II-dependent genes. -
Structure and Mechanism of the RNA Polymerase II Transcription Machinery
Downloaded from genesdev.cshlp.org on October 9, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW Structure and mechanism of the RNA polymerase II transcription machinery Allison C. Schier and Dylan J. Taatjes Department of Biochemistry, University of Colorado, Boulder, Colorado 80303, USA RNA polymerase II (Pol II) transcribes all protein-coding ingly high resolution, which has rapidly advanced under- genes and many noncoding RNAs in eukaryotic genomes. standing of the molecular basis of Pol II transcription. Although Pol II is a complex, 12-subunit enzyme, it lacks Structural biology continues to transform our under- the ability to initiate transcription and cannot consistent- standing of complex biological processes because it allows ly transcribe through long DNA sequences. To execute visualization of proteins and protein complexes at or near these essential functions, an array of proteins and protein atomic-level resolution. Combined with mutagenesis and complexes interact with Pol II to regulate its activity. In functional assays, structural data can at once establish this review, we detail the structure and mechanism of how enzymes function, justify genetic links to human dis- over a dozen factors that govern Pol II initiation (e.g., ease, and drive drug discovery. In the past few decades, TFIID, TFIIH, and Mediator), pausing, and elongation workhorse techniques such as NMR and X-ray crystallog- (e.g., DSIF, NELF, PAF, and P-TEFb). The structural basis raphy have been complemented by cryoEM, cross-linking for Pol II transcription regulation has advanced rapidly mass spectrometry (CXMS), and other methods. Recent in the past decade, largely due to technological innova- improvements in data collection and imaging technolo- tions in cryoelectron microscopy. -
Maize and Millet Transcription Factors Annotated Using Comparative
Lin et al. BMC Genomics 2014, 15:818 http://www.biomedcentral.com/1471-2164/15/818 RESEARCH ARTICLE Open Access Maize and millet transcription factors annotated using comparative genomic and transcriptomic data Jinn-Jy Lin1,2,3, Chun-Ping Yu4, Yao-Ming Chang3, Sean Chun-Chang Chen3 and Wen-Hsiung Li2,3,4,5* Abstract Background: Transcription factors (TFs) contain DNA-binding domains (DBDs) and regulate gene expression by binding to specific DNA sequences. In addition, there are proteins, called transcription coregulators (TCs), which lack DBDs but can alter gene expression through interaction with TFs or RNA Polymerase II. Therefore, it is interesting to identify and classify the TFs and TCs in a genome. In this study, maize (Zea mays) and foxtail millet (Setaria italica), two important species for the study of C4 photosynthesis and kranz anatomy, were selected. Result: We conducted a comprehensive genome-wide annotation of TFs and TCs in maize B73 and in two strains of foxtail millet, Zhang gu and Yugu1, and classified them into families. To gain additional support for our predictions, we searched for their homologous genes in Arabidopsis or rice and studied their gene expression level using RNA-seq and microarray data. We identified many new TF and TC families in these two species, and described some evolutionary and functional aspects of the 9 new maize TF families. Moreover, we detected many pseudogenes and transposable elements in current databases. In addition, we examined tissue expression preferences of TF and TC families and identified tissue/condition-specific TFs and TCs in maize and millet.