Mutation in the Mitochondrial Translation Elongation Factor Efts Results in Severe Infantile Liver Failure
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L-Leucine Increases Translation of RPS14 and LARP1 in Erythroblasts
LETTERS TO THE EDITOR Table 1. Top 20 differentially translated known 5’TOP mRNAs in L-leucine increases translation of RPS14 and LARP1 L-leucine treated erythroblasts from del(5q) myelodysplastic syn- in erythroblasts from del(5q) myelodysplastic drome patients. syndrome patients Genes LogFC of TE in patients z score patients Deletion of the long arm of chromosome 5 [del(5q)] is RPS15 3.55 2.46 the most common cytogenetic abnormality found in the RPS27A 3.48 2.40 1 myelodysplastic syndromes (MDS). Patients with the 5q- RPS25 3.47 2.39 syndrome have macrocytic anemia and the del(5q) as the RPS20 3.43 2.35 sole karyotypic abnormality.1 Haploinsufficiency of the ribosomal protein gene RPS14, mapping to the common- RPL12 3.35 2.29 ly deleted region (CDR) on chromosome 5q,2 underlies PABPC4 3.01 2.01 3 the erythroid defect found in the 5q- syndrome, and is RPS24 2.97 1.98 associated with p53 activation,4-6 a block in the process- ing of pre-ribosomal RNA,3 and deregulation of riboso- RPS3 2.95 1.96 mal- and translation-related genes.7 Defective mRNA EEF2 2.83 1.86 translation represents a potential therapeutic target in the RPS18 2.76 1.80 5q- syndrome and other ribosomopathies, such as RPS26 2.75 1.79 Diamond-Blackfan anemia (DBA).8 Evidence suggests that the translation enhancer L- RPS5 2.69 1.74 leucine may have some efficacy in the treatment of the RPS21 2.64 1.70 8 5q- syndrome and DBA. A DBA patient treated with L- RPS9 2.54 1.62 leucine showed a marked improvement in anemia and 8 EIF3E 2.53 1.61 achieved transfusion independence. -
Evolution of Translation EF-Tu: Trna
University of Illinois at Urbana-Champaign Luthey-Schulten Group NIH Resource for Macromolecular Modeling and Bioinformatics Computational Biophysics Workshop Evolution of Translation EF-Tu: tRNA VMD Developer: John Stone MultiSeq Developers Tutorial Authors Elijah Roberts Ke Chen John Eargle John Eargle Dan Wright Zhaleh Ghaemi Jonathan Lai Zan Luthey-Schulten August 2014 A current version of this tutorial is available at http://www.scs.illinois.edu/~schulten/tutorials/ef-tu CONTENTS 2 Contents 1 Introduction 3 1.1 The Elongation Factor Tu . 3 1.2 Getting Started . 4 1.2.1 Requirements . 4 1.2.2 Copying the tutorial files . 4 1.2.3 Working directory . 4 1.2.4 Preferences . 4 1.3 Configuring BLAST for MultiSeq . 5 2 Comparative Analysis of EF-Tu 5 2.1 Finding archaeal EF1A sequences . 6 2.2 Aligning archaeal sequences and removing redundancy . 8 2.3 Finding bacteria EF-Tu sequences . 11 2.4 Performing ClustalW Multiple Sequence and Profile-Profile Align- ments . 12 2.5 Creating Multiple Sequence with MAFFT . 16 2.6 Conservation of EF-Tu among the Bacteria . 16 2.7 Finding conserved residues across the bacterial and archaeal do- mains . 20 2.8 EF-Tu Interface with the Ribosome . 21 3 Computing a Maximum Likelihood Phylogenetic Tree with RAxML 23 3.1 Load the Phylogenetic Tree into MultiSeq . 25 3.2 Reroot and Manipulate the Phylogenetic Tree . 25 4 MultiSeq TCL Scripting: Genomic Context 27 5 Appendix A 30 5.1 Building a BLAST Database . 30 6 Appendix B 31 6.1 Saving QR subset of alignments in PHYLIP and FASTA format 31 6.2 Calculating Maximum Likelihood Trees with RAxML . -
Dynamics of Translation Can Determine the Spatial Organization Of
Dynamics of translation can determine the spatial organization of membrane-bound proteins and their mRNA Elgin Korkmazhana, Hamid Teimourib,c, Neil Petermanb,c, and Erel Levineb,c,1 aHarvard College, Harvard University, Cambridge, MA 02138; bDepartment of Physics, Harvard University, Cambridge, MA 02138; and cFAS Center for Systems Biology, Harvard University, Cambridge, MA 02138 Edited by William Bialek, Princeton University, Princeton, NJ, and approved October 17, 2017 (received for review January 17, 2017) Unlike most macromolecules that are homogeneously distributed these patterns are determined by the organization of the cod- in the bacterial cell, mRNAs that encode inner-membrane proteins ing sequence, the presence of slow codons, the rate of transla- can be concentrated near the inner membrane. Cotranslational tion initiation, and the availability of auxiliary proteins required insertion of the nascent peptide into the membrane brings the for membrane targeting (referred to as the secretory machinery). translating ribosome and the mRNA close to the membrane. This By calculating the distribution of the number of proteins placed suggests that kinetic properties of translation can determine the together in the membrane, we suggest implications of mRNA spatial organization of these mRNAs and proteins, which can be localization on the organization of proteins on the membrane. modulated through posttranscriptional regulation. Here we use a We thus propose a mechanism for the formation of protein clus- simple stochastic model of translation to characterize the effect of ters in the membrane and investigate its implications on the reg- mRNA properties on the dynamics and statistics of its spatial distri- ulation of their size distribution. -
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. -
Allele-Specific Expression of Ribosomal Protein Genes in Interspecific Hybrid Catfish
Allele-specific Expression of Ribosomal Protein Genes in Interspecific Hybrid Catfish by Ailu Chen A dissertation submitted to the Graduate Faculty of Auburn University in partial fulfillment of the requirements for the Degree of Doctor of Philosophy Auburn, Alabama August 1, 2015 Keywords: catfish, interspecific hybrids, allele-specific expression, ribosomal protein Copyright 2015 by Ailu Chen Approved by Zhanjiang Liu, Chair, Professor, School of Fisheries, Aquaculture and Aquatic Sciences Nannan Liu, Professor, Entomology and Plant Pathology Eric Peatman, Associate Professor, School of Fisheries, Aquaculture and Aquatic Sciences Aaron M. Rashotte, Associate Professor, Biological Sciences Abstract Interspecific hybridization results in a vast reservoir of allelic variations, which may potentially contribute to phenotypical enhancement in the hybrids. Whether the allelic variations are related to the downstream phenotypic differences of interspecific hybrid is still an open question. The recently developed genome-wide allele-specific approaches that harness high- throughput sequencing technology allow direct quantification of allelic variations and gene expression patterns. In this work, I investigated allele-specific expression (ASE) pattern using RNA-Seq datasets generated from interspecific catfish hybrids. The objective of the study is to determine the ASE genes and pathways in which they are involved. Specifically, my study investigated ASE-SNPs, ASE-genes, parent-of-origins of ASE allele and how ASE would possibly contribute to heterosis. My data showed that ASE was operating in the interspecific catfish system. Of the 66,251 and 177,841 SNPs identified from the datasets of the liver and gill, 5,420 (8.2%) and 13,390 (7.5%) SNPs were identified as significant ASE-SNPs, respectively. -
CD8 T Cell Memory Transition and Maintenance of Functional Foxo1
FoxO1 Controls Effector-to-Memory Transition and Maintenance of Functional CD8 T Cell Memory This information is current as Melba Marie Tejera, Eui Ho Kim, Jeremy A. Sullivan, Erin of October 1, 2021. H. Plisch and M. Suresh J Immunol 2013; 191:187-199; Prepublished online 3 June 2013; doi: 10.4049/jimmunol.1300331 http://www.jimmunol.org/content/191/1/187 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2013/06/03/jimmunol.130033 Material 1.DC1 http://www.jimmunol.org/ References This article cites 52 articles, 7 of which you can access for free at: http://www.jimmunol.org/content/191/1/187.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on October 1, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2013 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology FoxO1 Controls Effector-to-Memory Transition and Maintenance of Functional CD8 T Cell Memory Melba Marie Tejera, Eui Ho Kim, Jeremy A. -
1 AGING Supplementary Table 2
SUPPLEMENTARY TABLES Supplementary Table 1. Details of the eight domain chains of KIAA0101. Serial IDENTITY MAX IN COMP- INTERFACE ID POSITION RESOLUTION EXPERIMENT TYPE number START STOP SCORE IDENTITY LEX WITH CAVITY A 4D2G_D 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ B 4D2G_E 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ C 6EHT_D 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ D 6EHT_E 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ E 6GWS_D 41-72 41 72 100 100 3.2Å PCNA X-RAY DIFFRACTION √ F 6GWS_E 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ G 6GWS_F 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ H 6IIW_B 2-11 2 11 100 100 1.699Å UHRF1 X-RAY DIFFRACTION √ www.aging-us.com 1 AGING Supplementary Table 2. Significantly enriched gene ontology (GO) annotations (cellular components) of KIAA0101 in lung adenocarcinoma (LinkedOmics). Leading Description FDR Leading Edge Gene EdgeNum RAD51, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, CENPW, HJURP, NDC80, CDCA5, NCAPH, BUB1, ZWILCH, CENPK, KIF2C, AURKA, CENPN, TOP2A, CENPM, PLK1, ERCC6L, CDT1, CHEK1, SPAG5, CENPH, condensed 66 0 SPC24, NUP37, BLM, CENPE, BUB3, CDK2, FANCD2, CENPO, CENPF, BRCA1, DSN1, chromosome MKI67, NCAPG2, H2AFX, HMGB2, SUV39H1, CBX3, TUBG1, KNTC1, PPP1CC, SMC2, BANF1, NCAPD2, SKA2, NUP107, BRCA2, NUP85, ITGB3BP, SYCE2, TOPBP1, DMC1, SMC4, INCENP. RAD51, OIP5, CDK1, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, ESCO2, CENPW, HJURP, TTK, NDC80, CDCA5, BUB1, ZWILCH, CENPK, KIF2C, AURKA, DSCC1, CENPN, CDCA8, CENPM, PLK1, MCM6, ERCC6L, CDT1, HELLS, CHEK1, SPAG5, CENPH, PCNA, SPC24, CENPI, NUP37, FEN1, chromosomal 94 0 CENPL, BLM, KIF18A, CENPE, MCM4, BUB3, SUV39H2, MCM2, CDK2, PIF1, DNA2, region CENPO, CENPF, CHEK2, DSN1, H2AFX, MCM7, SUV39H1, MTBP, CBX3, RECQL4, KNTC1, PPP1CC, CENPP, CENPQ, PTGES3, NCAPD2, DYNLL1, SKA2, HAT1, NUP107, MCM5, MCM3, MSH2, BRCA2, NUP85, SSB, ITGB3BP, DMC1, INCENP, THOC3, XPO1, APEX1, XRCC5, KIF22, DCLRE1A, SEH1L, XRCC3, NSMCE2, RAD21. -
USP16 Counteracts Mono-Ubiquitination of Rps27a And
RESEARCH ARTICLE USP16 counteracts mono-ubiquitination of RPS27a and promotes maturation of the 40S ribosomal subunit Christian Montellese1†, Jasmin van den Heuvel1,2, Caroline Ashiono1, Kerstin Do¨ rner1,2, Andre´ Melnik3‡, Stefanie Jonas1§, Ivo Zemp1, Paola Picotti3, Ludovic C Gillet1, Ulrike Kutay1* 1Institute of Biochemistry, ETH Zurich, Zurich, Switzerland; 2Molecular Life Sciences Ph.D. Program, Zurich, Switzerland; 3Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland Abstract Establishment of translational competence represents a decisive cytoplasmic step in the biogenesis of 40S ribosomal subunits. This involves final 18S rRNA processing and release of residual biogenesis factors, including the protein kinase RIOK1. To identify novel proteins promoting the final maturation of human 40S subunits, we characterized pre-ribosomal subunits trapped on RIOK1 by mass spectrometry, and identified the deubiquitinase USP16 among the captured factors. We demonstrate that USP16 constitutes a component of late cytoplasmic pre-40S subunits that promotes the removal of ubiquitin from an internal lysine of ribosomal protein *For correspondence: RPS27a/eS31. USP16 deletion leads to late 40S subunit maturation defects, manifesting in [email protected] incomplete processing of 18S rRNA and retarded recycling of late-acting ribosome biogenesis Present address: †CSL Behring, factors, revealing an unexpected contribution of USP16 to the ultimate step of 40S synthesis. CSL Biologics Research Center, Finally, ubiquitination of RPS27a appears to depend on active translation, pointing at a potential ‡ Bern, Switzerland; MSD Merck connection between 40S maturation and protein synthesis. Sharp & Dohme AG, Lucerne, Switzerland; §Institute of Molecular Biology and Biophysics, ETH Zurich, Zurich, Switzerland Introduction Ribosomes stand at the center of translation in all kingdoms of life, catalyzing the synthesis of pro- Competing interests: The teins by reading a messenger RNA (mRNA) template. -
MRPS12 Rabbit Pab
Leader in Biomolecular Solutions for Life Science MRPS12 Rabbit pAb Catalog No.: A10573 Basic Information Background Catalog No. Mammalian mitochondrial ribosomal proteins are encoded by nuclear genes and help in A10573 protein synthesis within the mitochondrion. Mitochondrial ribosomes (mitoribosomes) consist of a small 28S subunit and a large 39S subunit. They have an estimated 75% Observed MW protein to rRNA composition compared to prokaryotic ribosomes, where this ratio is 14kDa reversed. Another difference between mammalian mitoribosomes and prokaryotic ribosomes is that the latter contain a 5S rRNA. Among different species, the proteins Calculated MW comprising the mitoribosome differ greatly in sequence, and sometimes in biochemical 15kDa properties, which prevents easy recognition by sequence homology. This gene encodes a 28S subunit protein that belongs to the ribosomal protein S12P family. The encoded Category protein is a key component of the ribosomal small subunit and controls the decoding fidelity and susceptibility to aminoglycoside antibiotics. The gene for mitochondrial Primary antibody seryl-tRNA synthetase is located upstream and adjacent to this gene, and both genes are possible candidates for the autosomal dominant deafness gene (DFNA4). Splice Applications variants that differ in the 5' UTR have been found for this gene; all three variants encode WB,IHC the same protein. Cross-Reactivity Human Recommended Dilutions Immunogen Information WB 1:1000 - 1:2000 Gene ID Swiss Prot 6183 O15235 IHC 1:50 - 1:200 Immunogen Recombinant fusion protein containing a sequence corresponding to amino acids 30-138 of human MRPS12 (NP_203527.1). Synonyms MRPS12;MPR-S12;MT-RPS12;RPMS12;RPS12;RPSM12 Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at -20℃. -
YEASTRACT - Genes Grouped by TF, Ordered by the Percentage of Genes Regulated by TF, Relative to the Total Number of Genes in the List 08/07/14 16:17
YEASTRACT - Genes grouped by TF, ordered by the percentage of genes regulated by TF, relative to the total number of genes in the list 08/07/14 16:17 Home > Group Genes by TF > Result Contact Us - Tutorial - Tutorial Genes grouped by TF, ordered by the percentage of genes regulated by TF, relative to the total number of genes in the list Quick search... Search Documented regulations suported by direct or indirect or undefined evidence. Unknown gene/ORF name(s), 'YFL013W-A'. DISCOVERER Transcription Transcriptional Regulatory % ORF/Genes Regulatory Associations: Factor Network - Search for TFs NTG1 YAL045c HAP3 - Search for Genes ATP1 YBL107c ALG1 - Search for Associations YSA1 CNS1 PDB1 TSC10 RER1 YCL049c PRD1 Group genes: AHC2 GET3 BPL1 - Group by TF YDL144c GCV1 PST2 - Group by GO PST1 SED1 YDR262w YDR266c MSW1 FRQ1 Pattern Matching: TSA2 STP1 PHO8 RAD23 - Search by DNA Motif YEL047c CAN1 YEL074w - Find TF Binding Site(s) PMI40 FMP52 CEM1 - Search Motifs on Motifs SER3 SHC1 YER130c Utilities: PDA1 YER189w AGP3 - ORF List ⇔ Gene List DUG1 CDH1 OCH1 - IUPAC Code Generation YGL114w MRM2 CHO2 - Generate Regulation Matrix PMT6 TRX2 YSC84 CHS7 Yap1p 24.9 % YSP1 FAA3 LYS1 GTT1 Retrieve: YJL045w GZF3 LCB3 - Transcription Factors List HXT9 VPS55 HOM6 BAT2 - Upstream Sequence THI11 RSM22 UBA1 - Flat files RHO4 PAM17 YKR070w YKR077w GTT2 YLL067c About Yeastract: ALT1 HOG1 MAS1 - Contact Us ECM38 ILV5 MRPL4 - Cite YEASTRACT TSA1 PRE8 TAF13 VAN1 - Acknowledgments YTA12 NUP53 SPG5 - Credits MRPL24 NIS1 APP1 CPT1 FMP41 MRPL19 YNL208w CWC25 LYP1 TOF1 -
Complexity of a Small Non-Protein Coding Sequence in Chromosomal Region 22Q11.2: Presence of Specialized DNA Secondary Structures and RNA Exon/Intron Motifs Delihas
Complexity of a small non-protein coding sequence in chromosomal region 22q11.2: presence of specialized DNA secondary structures and RNA exon/intron motifs Delihas Delihas BMC Genomics (2015) 16:785 DOI 10.1186/s12864-015-1958-6 Delihas BMC Genomics (2015) 16:785 DOI 10.1186/s12864-015-1958-6 RESEARCHARTICLE Open Access Complexity of a small non-protein coding sequence in chromosomal region 22q11.2: presence of specialized DNA secondary structures and RNA exon/intron motifs Nicholas Delihas Abstract Background: DiGeorge Syndrome is a genetic abnormality involving ~3 Mb deletion in human chromosome 22, termed 22q.11.2. To better understand the non-coding regions of 22q.11.2, a small 10,000 bp non-protein-coding sequence close to the DiGeorge Critical Region 6 gene (DGCR6) was chosen for analysis and functional entities as the homologous sequence in the chimpanzee genome could be aligned and used for comparisons. Methods: The GenBank database provided genomic sequences. In silico computer programs were used to find homologous DNA sequences in human and chimpanzee genomes, generate random sequences, determine DNA sequence alignments, sequence comparisons and nucleotide repeat copies, and to predicted DNA secondary structures. Results: At its 5′ half, the 10,000 bp sequence has three distinct sections that represent phylogenetically variable sequences. These Variable Regions contain biased mutations with a very high A + T content, multiple copies of the motif TATAATATA and sequences that fold into long A:T-base-paired stem loops. The 3′ half of the 10,000 bp unit, highly conserved between human and chimpanzee, has sequences representing exons of lncRNA genes and segments of introns of protein genes. -
C6orf203 Controls OXPHOS Function Through Modulation of Mitochondrial Protein Biosynthesis
bioRxiv preprint doi: https://doi.org/10.1101/704403; this version posted July 17, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. C6orf203 controls OXPHOS function through modulation of mitochondrial protein biosynthesis number of characters excluding Materials and Methods: 40,651 Sara Palacios-Zambrano1,2, Luis Vázquez-Fonseca1,2, Cristina González-Páramos1,2, Laura Mamblona1,2, Laura Sánchez-Caballero3, Leo Nijtmans3, Rafael Garesse1,2 and Miguel Angel Fernández-Moreno1,2,* 1 Departamento de Bioquímica, Instituto de Investigaciones Biomédicas “Alberto Sols” UAM CSIC and Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER). Facultad de Medicina, Universidad Autónoma de Madrid. Madrid 28029, Spain. 2 Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid 28041, Spain. 3 Department of Pediatrics, Radboud Center for Mitochondrial Medicine, Radboud University Medical Center, Nijmegen, The Netherlands. * To whom correspondence should be addressed. Tel:+34 91 497 31 29; Email: [email protected] Running title “C6orf203 controls mt-proteins synthesis” bioRxiv preprint doi: https://doi.org/10.1101/704403; this version posted July 17, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. ABSTRACT Mitochondria are essential organelles present in the vast majority of eukaryotic cells. Their central function is to produce cellular energy through the OXPHOS system, and functional alterations provoke so-called mitochondrial OXPHOS diseases. It is estimated that several hundred mitochondrial proteins have unknown functions. Very recently, C6orf203 was described to participate in mitochondrial transcription under induced mitochondrial DNA depletion stress conditions.