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Improved Ribosome-Footprint and mRNA Measurements Provide Insights into Dynamics and Regulation of Yeast Translation.
Weinberg, David E; Shah, Premal; Eichhorn, Stephen W; Hussmann, Jeffrey A; Plotkin, Joshua B; Bartel, David P.
Afiliação
  • Weinberg DE; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address: david.weinberg@ucsf.edu.
  • Shah P; Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Eichhorn SW; Howard Hughes Medical Institute; Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Hussmann JA; Institute for Computational Engineering and Sciences, University of Texas, Austin, TX 78712, USA; Institute for Cellular and Molecular Biology, University of Texas, Austin, TX 78712, USA.
  • Plotkin JB; Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Bartel DP; Howard Hughes Medical Institute; Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Cell Rep ; 14(7): 1787-1799, 2016 Feb 23.
Article em En | MEDLINE | ID: mdl-26876183
ABSTRACT
Ribosome-footprint profiling provides genome-wide snapshots of translation, but technical challenges can confound its analysis. Here, we use improved methods to obtain ribosome-footprint profiles and mRNA abundances that more faithfully reflect gene expression in Saccharomyces cerevisiae. Our results support proposals that both the beginning of coding regions and codons matching rare tRNAs are more slowly translated. They also indicate that emergent polypeptides with as few as three basic residues within a ten-residue window tend to slow translation. With the improved mRNA measurements, the variation attributable to translational control in exponentially growing yeast was less than previously reported, and most of this variation could be predicted with a simple model that considered mRNA abundance, upstream open reading frames, cap-proximal structure and nucleotide composition, and lengths of the coding and 5' UTRs. Collectively, our results provide a framework for executing and interpreting ribosome-profiling studies and reveal key features of translational control in yeast.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Biossíntese de Proteínas / Regulação Fúngica da Expressão Gênica / Modelos Estatísticos / Genoma Fúngico / Proteínas de Saccharomyces cerevisiae Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cell Rep Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Biossíntese de Proteínas / Regulação Fúngica da Expressão Gênica / Modelos Estatísticos / Genoma Fúngico / Proteínas de Saccharomyces cerevisiae Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cell Rep Ano de publicação: 2016 Tipo de documento: Article