Driver Mutations of the Adenoma-Carcinoma Sequence Govern the Intestinal Epithelial Global Translational Capacity
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The DEAD-Box RNA Helicase-Like Utp25 Is an SSU Processome Component
Downloaded from rnajournal.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press The DEAD-box RNA helicase-like Utp25 is an SSU processome component J. MICHAEL CHARETTE1,2 and SUSAN J. BASERGA1,2,3 1Department of Molecular Biophysics & Biochemistry, Yale University School of Medicine, New Haven, Connecticut 06520, USA 2Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut 06520, USA 3Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06520, USA ABSTRACT The SSU processome is a large ribonucleoprotein complex consisting of the U3 snoRNA and at least 43 proteins. A database search, initiated in an effort to discover additional SSU processome components, identified the uncharacterized, conserved and essential yeast nucleolar protein YIL091C/UTP25 as one such candidate. The C-terminal DUF1253 motif, a domain of unknown function, displays limited sequence similarity to DEAD-box RNA helicases. In the absence of the conserved DEAD-box sequence, motif Ia is the only clearly identifiable helicase element. Since the yeast homolog is nucleolar and interacts with components of the SSU processome, we examined its role in pre-rRNA processing. Genetic depletion of Utp25 resulted in slowed growth. Northern analysis of pre-rRNA revealed an 18S rRNA maturation defect at sites A0,A1, and A2. Coimmunoprecipitation confirmed association with U3 snoRNA and with Mpp10, and with components of the t-Utp/UtpA, UtpB, and U3 snoRNP subcomplexes. Mutation of the conserved motif Ia residues resulted in no discernable temperature- sensitive or cold-sensitive growth defects, implying that this motif is dispensable for Utp25 function. -
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. -
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. -
Rpp2, an Essential Protein Subunit of Nuclear Rnase P, Is Required for Processing of Precursor Trnas and 35S Precursor Rrna in Saccharomyces Cerevisiae
Proc. Natl. Acad. Sci. USA Vol. 95, pp. 6716–6721, June 1998 Biochemistry Rpp2, an essential protein subunit of nuclear RNase P, is required for processing of precursor tRNAs and 35S precursor rRNA in Saccharomyces cerevisiae VIKTOR STOLC*, ALEXANDER KATZ†, AND SIDNEY ALTMAN†‡ †Department of Biology, Yale University, New Haven, CT 06520; and *Department of Cell Biology, Yale University School of Medicine, New Haven, CT 06510 Contributed by Sidney Altman, March 31, 1998 ABSTRACT RPP2, an essential gene that encodes a 15.8- has been suggested that RNase P is an ancestor of RNase kDa protein subunit of nuclear RNase P, has been identified MRP, because RNase MRP has been found only in eukaryotes in the genome of Saccharomyces cerevisiae. Rpp2 was detected (20). Yeast RNase MRP functions in processing of precursor by sequence similarity with a human protein, Rpp20, which rRNAs at the A3 site in the internal transcribed sequence of copurifies with human RNase P. Epitope-tagged Rpp2 can be the 35S precursor rRNA (21) and also cleaves RNA primers found in association with both RNase P and RNase mitochon- for mitochondrial DNA replication (22, 23). Although RNase drial RNA processing in immunoprecipitates from crude MRP does not cleave ptRNAs in vitro, its role in rRNA extracts of cells. Depletion of Rpp2 protein in vivo causes processing is affected by proteins that associate with RNase P accumulation of precursor tRNAs with unprocessed introns in vivo (11–14). RNase P functions in the biosynthesis of and 5* and 3* termini, and leads to defects in the processing tRNAs (8) and appears to have a role in rRNA processing in of the 35S precursor rRNA. -
Proteomics Provides Insights Into the Inhibition of Chinese Hamster V79
www.nature.com/scientificreports OPEN Proteomics provides insights into the inhibition of Chinese hamster V79 cell proliferation in the deep underground environment Jifeng Liu1,2, Tengfei Ma1,2, Mingzhong Gao3, Yilin Liu4, Jun Liu1, Shichao Wang2, Yike Xie2, Ling Wang2, Juan Cheng2, Shixi Liu1*, Jian Zou1,2*, Jiang Wu2, Weimin Li2 & Heping Xie2,3,5 As resources in the shallow depths of the earth exhausted, people will spend extended periods of time in the deep underground space. However, little is known about the deep underground environment afecting the health of organisms. Hence, we established both deep underground laboratory (DUGL) and above ground laboratory (AGL) to investigate the efect of environmental factors on organisms. Six environmental parameters were monitored in the DUGL and AGL. Growth curves were recorded and tandem mass tag (TMT) proteomics analysis were performed to explore the proliferative ability and diferentially abundant proteins (DAPs) in V79 cells (a cell line widely used in biological study in DUGLs) cultured in the DUGL and AGL. Parallel Reaction Monitoring was conducted to verify the TMT results. γ ray dose rate showed the most detectable diference between the two laboratories, whereby γ ray dose rate was signifcantly lower in the DUGL compared to the AGL. V79 cell proliferation was slower in the DUGL. Quantitative proteomics detected 980 DAPs (absolute fold change ≥ 1.2, p < 0.05) between V79 cells cultured in the DUGL and AGL. Of these, 576 proteins were up-regulated and 404 proteins were down-regulated in V79 cells cultured in the DUGL. KEGG pathway analysis revealed that seven pathways (e.g. -
Genes with 5' Terminal Oligopyrimidine Tracts Preferentially Escape Global Suppression of Translation by the SARS-Cov-2 NSP1 Protein
Downloaded from rnajournal.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Genes with 5′ terminal oligopyrimidine tracts preferentially escape global suppression of translation by the SARS-CoV-2 Nsp1 protein Shilpa Raoa, Ian Hoskinsa, Tori Tonna, P. Daniela Garciaa, Hakan Ozadama, Elif Sarinay Cenika, Can Cenika,1 a Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA 1Corresponding author: [email protected] Key words: SARS-CoV-2, Nsp1, MeTAFlow, translation, ribosome profiling, RNA-Seq, 5′ TOP, Ribo-Seq, gene expression 1 Downloaded from rnajournal.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Viruses rely on the host translation machinery to synthesize their own proteins. Consequently, they have evolved varied mechanisms to co-opt host translation for their survival. SARS-CoV-2 relies on a non-structural protein, Nsp1, for shutting down host translation. However, it is currently unknown how viral proteins and host factors critical for viral replication can escape a global shutdown of host translation. Here, using a novel FACS-based assay called MeTAFlow, we report a dose-dependent reduction in both nascent protein synthesis and mRNA abundance in cells expressing Nsp1. We perform RNA-Seq and matched ribosome profiling experiments to identify gene-specific changes both at the mRNA expression and translation level. We discover that a functionally-coherent subset of human genes are preferentially translated in the context of Nsp1 expression. These genes include the translation machinery components, RNA binding proteins, and others important for viral pathogenicity. Importantly, we uncovered a remarkable enrichment of 5′ terminal oligo-pyrimidine (TOP) tracts among preferentially translated genes. -
Supp Material.Pdf
Simon et al. Supplementary information: Table of contents p.1 Supplementary material and methods p.2-4 • PoIy(I)-poly(C) Treatment • Flow Cytometry and Immunohistochemistry • Western Blotting • Quantitative RT-PCR • Fluorescence In Situ Hybridization • RNA-Seq • Exome capture • Sequencing Supplementary Figures and Tables Suppl. items Description pages Figure 1 Inactivation of Ezh2 affects normal thymocyte development 5 Figure 2 Ezh2 mouse leukemias express cell surface T cell receptor 6 Figure 3 Expression of EZH2 and Hox genes in T-ALL 7 Figure 4 Additional mutation et deletion of chromatin modifiers in T-ALL 8 Figure 5 PRC2 expression and activity in human lymphoproliferative disease 9 Figure 6 PRC2 regulatory network (String analysis) 10 Table 1 Primers and probes for detection of PRC2 genes 11 Table 2 Patient and T-ALL characteristics 12 Table 3 Statistics of RNA and DNA sequencing 13 Table 4 Mutations found in human T-ALLs (see Fig. 3D and Suppl. Fig. 4) 14 Table 5 SNP populations in analyzed human T-ALL samples 15 Table 6 List of altered genes in T-ALL for DAVID analysis 20 Table 7 List of David functional clusters 31 Table 8 List of acquired SNP tested in normal non leukemic DNA 32 1 Simon et al. Supplementary Material and Methods PoIy(I)-poly(C) Treatment. pIpC (GE Healthcare Lifesciences) was dissolved in endotoxin-free D-PBS (Gibco) at a concentration of 2 mg/ml. Mice received four consecutive injections of 150 μg pIpC every other day. The day of the last pIpC injection was designated as day 0 of experiment. -
EIF4E Antibody Cat
EIF4E Antibody Cat. No.: 60-600 EIF4E Antibody Formalin-fixed and paraffin-embedded human breast carcinoma reacted with EIF4E antibody (N-term), which was peroxidase- conjugated to the secondary antibody, followed by DAB staining. Specifications HOST SPECIES: Rabbit SPECIES REACTIVITY: Human Predicted species reactivity based on immunogen sequence: Zebrafish, Bovine, Mouse, HOMOLOGY: Rabbit, Rat, Xenopus This EIF4E antibody is generated from rabbits immunized with a KLH conjugated synthetic IMMUNOGEN: peptide between 32-61 amino acids from the N-terminal region of human EIF4E. TESTED APPLICATIONS: IHC-P, WB For WB starting dilution is: 1:1000 APPLICATIONS: For IHC-P starting dilution is: 1:50~100 September 27, 2021 1 https://www.prosci-inc.com/eif4e-antibody-60-600.html PREDICTED MOLECULAR 25 kDa WEIGHT: Properties This antibody is prepared by Saturated Ammonium Sulfate (SAS) precipitation followed by PURIFICATION: dialysis CLONALITY: Polyclonal ISOTYPE: Rabbit Ig CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: Supplied in PBS with 0.09% (W/V) sodium azide. CONCENTRATION: batch dependent Store at 4˚C for three months and -20˚C, stable for up to one year. As with all antibodies STORAGE CONDITIONS: care should be taken to avoid repeated freeze thaw cycles. Antibodies should not be exposed to prolonged high temperatures. Additional Info OFFICIAL SYMBOL: EIF4E Eukaryotic translation initiation factor 4E, eIF-4E, eIF4E, eIF-4F 25 kDa subunit, mRNA cap- ALTERNATE NAMES: binding protein, EIF4E, EIF4EL1, EIF4F ACCESSION NO.: P06730 PROTEIN GI NO.: 1352435 GENE ID: 1977 USER NOTE: Optimal dilutions for each application to be determined by the researcher. Background and References eIF4F is a multi-subunit complex, the composition of which varies with external and internal environmental conditions. -
Gene Expression Profiling Analysis Contributes to Understanding the Association Between Non-Syndromic Cleft Lip and Palate, and Cancer
2110 MOLECULAR MEDICINE REPORTS 13: 2110-2116, 2016 Gene expression profiling analysis contributes to understanding the association between non-syndromic cleft lip and palate, and cancer HONGYI WANG, TAO QIU, JIE SHI, JIULONG LIANG, YANG WANG, LIANGLIANG QUAN, YU ZHANG, QIAN ZHANG and KAI TAO Department of Plastic Surgery, General Hospital of Shenyang Military Area Command, PLA, Shenyang, Liaoning 110016, P.R. China Received March 10, 2015; Accepted December 18, 2015 DOI: 10.3892/mmr.2016.4802 Abstract. The present study aimed to investigate the for NSCL/P were implicated predominantly in the TGF-β molecular mechanisms underlying non-syndromic cleft lip, signaling pathway, the cell cycle and in viral carcinogenesis. with or without cleft palate (NSCL/P), and the association The TP53, CDK1, SMAD3, PIK3R1 and CASP3 genes were between this disease and cancer. The GSE42589 data set found to be associated, not only with NSCL/P, but also with was downloaded from the Gene Expression Omnibus data- cancer. These results may contribute to a better understanding base, and contained seven dental pulp stem cell samples of the molecular mechanisms of NSCL/P. from children with NSCL/P in the exfoliation period, and six controls. Differentially expressed genes (DEGs) were Introduction screened using the RankProd method, and their potential functions were revealed by pathway enrichment analysis and Non-syndromic cleft lip, with or without cleft palate (NSCL/P) construction of a pathway interaction network. Subsequently, is one of the most common types of congenital defect and cancer genes were obtained from six cancer databases, and affects 3.4-22.9/10,000 individuals worldwide (1). -
Early Growth Response 1 Regulates Hematopoietic Support and Proliferation in Human Primary Bone Marrow Stromal Cells
Hematopoiesis SUPPLEMENTARY APPENDIX Early growth response 1 regulates hematopoietic support and proliferation in human primary bone marrow stromal cells Hongzhe Li, 1,2 Hooi-Ching Lim, 1,2 Dimitra Zacharaki, 1,2 Xiaojie Xian, 2,3 Keane J.G. Kenswil, 4 Sandro Bräunig, 1,2 Marc H.G.P. Raaijmakers, 4 Niels-Bjarne Woods, 2,3 Jenny Hansson, 1,2 and Stefan Scheding 1,2,5 1Division of Molecular Hematology, Department of Laboratory Medicine, Lund University, Lund, Sweden; 2Lund Stem Cell Center, Depart - ment of Laboratory Medicine, Lund University, Lund, Sweden; 3Division of Molecular Medicine and Gene Therapy, Department of Labora - tory Medicine, Lund University, Lund, Sweden; 4Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands and 5Department of Hematology, Skåne University Hospital Lund, Skåne, Sweden ©2020 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2019.216648 Received: January 14, 2019. Accepted: July 19, 2019. Pre-published: August 1, 2019. Correspondence: STEFAN SCHEDING - [email protected] Li et al.: Supplemental data 1. Supplemental Materials and Methods BM-MNC isolation Bone marrow mononuclear cells (BM-MNC) from BM aspiration samples were isolated by density gradient centrifugation (LSM 1077 Lymphocyte, PAA, Pasching, Austria) either with or without prior incubation with RosetteSep Human Mesenchymal Stem Cell Enrichment Cocktail (STEMCELL Technologies, Vancouver, Canada) for lineage depletion (CD3, CD14, CD19, CD38, CD66b, glycophorin A). BM-MNCs from fetal long bones and adult hip bones were isolated as reported previously 1 by gently crushing bones (femora, tibiae, fibulae, humeri, radii and ulna) in PBS+0.5% FCS subsequent passing of the cell suspension through a 40-µm filter. -
Mtorc1 Controls Mitochondrial Activity and Biogenesis Through 4E-BP-Dependent Translational Regulation
Cell Metabolism Article mTORC1 Controls Mitochondrial Activity and Biogenesis through 4E-BP-Dependent Translational Regulation Masahiro Morita,1,2 Simon-Pierre Gravel,1,2 Vale´ rie Che´ nard,1,2 Kristina Sikstro¨ m,3 Liang Zheng,4 Tommy Alain,1,2 Valentina Gandin,5,7 Daina Avizonis,2 Meztli Arguello,1,2 Chadi Zakaria,1,2 Shannon McLaughlan,5,7 Yann Nouet,1,2 Arnim Pause,1,2 Michael Pollak,5,6,7 Eyal Gottlieb,4 Ola Larsson,3 Julie St-Pierre,1,2,* Ivan Topisirovic,5,7,* and Nahum Sonenberg1,2,* 1Department of Biochemistry 2Goodman Cancer Research Centre McGill University, Montreal, QC H3A 1A3, Canada 3Department of Oncology-Pathology, Karolinska Institutet, Stockholm, 171 76, Sweden 4Cancer Research UK, The Beatson Institute for Cancer Research, Switchback Road, Glasgow G61 1BD, Scotland, UK 5Lady Davis Institute for Medical Research 6Cancer Prevention Center, Sir Mortimer B. Davis-Jewish General Hospital McGill University, Montreal, QC H3T 1E2, Canada 7Department of Oncology, McGill University, Montreal, QC H2W 1S6, Canada *Correspondence: [email protected] (J.S.-P.), [email protected] (I.T.), [email protected] (N.S.) http://dx.doi.org/10.1016/j.cmet.2013.10.001 SUMMARY ATP under physiological conditions in mammals and play a crit- ical role in overall energy balance (Vander Heiden et al., 2009). mRNA translation is thought to be the most energy- The mechanistic/mammalian target of rapamycin (mTOR) is a consuming process in the cell. Translation and serine/threonine kinase that has been implicated in a variety of energy metabolism are dysregulated in a variety of physiological processes and pathological states (Zoncu et al., diseases including cancer, diabetes, and heart 2011). -
Utpa and Utpb Chaperone Nascent Pre-Ribosomal RNA and U3 Snorna to Initiate Eukaryotic Ribosome Assembly
ARTICLE Received 6 Apr 2016 | Accepted 27 May 2016 | Published 29 Jun 2016 DOI: 10.1038/ncomms12090 OPEN UtpA and UtpB chaperone nascent pre-ribosomal RNA and U3 snoRNA to initiate eukaryotic ribosome assembly Mirjam Hunziker1,*, Jonas Barandun1,*, Elisabeth Petfalski2, Dongyan Tan3, Cle´mentine Delan-Forino2, Kelly R. Molloy4, Kelly H. Kim5, Hywel Dunn-Davies2, Yi Shi4, Malik Chaker-Margot1,6, Brian T. Chait4, Thomas Walz5, David Tollervey2 & Sebastian Klinge1 Early eukaryotic ribosome biogenesis involves large multi-protein complexes, which co-transcriptionally associate with pre-ribosomal RNA to form the small subunit processome. The precise mechanisms by which two of the largest multi-protein complexes—UtpA and UtpB—interact with nascent pre-ribosomal RNA are poorly understood. Here, we combined biochemical and structural biology approaches with ensembles of RNA–protein cross-linking data to elucidate the essential functions of both complexes. We show that UtpA contains a large composite RNA-binding site and captures the 50 end of pre-ribosomal RNA. UtpB forms an extended structure that binds early pre-ribosomal intermediates in close proximity to architectural sites such as an RNA duplex formed by the 50 ETS and U3 snoRNA as well as the 30 boundary of the 18S rRNA. Both complexes therefore act as vital RNA chaperones to initiate eukaryotic ribosome assembly. 1 Laboratory of Protein and Nucleic Acid Chemistry, The Rockefeller University, New York, New York 10065, USA. 2 Wellcome Trust Centre for Cell Biology, University of Edinburgh, Michael Swann Building, Max Born Crescent, Edinburgh EH9 3BF, UK. 3 Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, USA.