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Extensive post-transcriptional buffering of gene expression in the response to severe oxidative stress in baker's yeast.
Blevins, William R; Tavella, Teresa; Moro, Simone G; Blasco-Moreno, Bernat; Closa-Mosquera, Adrià; Díez, Juana; Carey, Lucas B; Albà, M Mar.
Afiliação
  • Blevins WR; Evolutionary Genomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM)-Universitat Pompeu Fabra (UPF), Barcelona, Spain.
  • Tavella T; Evolutionary Genomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM)-Universitat Pompeu Fabra (UPF), Barcelona, Spain.
  • Moro SG; Dipartimento di Farmacia e Biotecnologie (FaBiT), Università di Bologna, Bologna, Italy.
  • Blasco-Moreno B; Evolutionary Genomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM)-Universitat Pompeu Fabra (UPF), Barcelona, Spain.
  • Closa-Mosquera A; Health and Experimental Sciences Department, Universitat Pompeu Fabra(UPF), Barcelona, Spain.
  • Díez J; Health and Experimental Sciences Department, Universitat Pompeu Fabra(UPF), Barcelona, Spain.
  • Carey LB; John Curtin School of Medical Research, The Australian National University, Canberra, Australia.
  • Albà MM; Health and Experimental Sciences Department, Universitat Pompeu Fabra(UPF), Barcelona, Spain.
Sci Rep ; 9(1): 11005, 2019 07 29.
Article em En | MEDLINE | ID: mdl-31358845
ABSTRACT
Cells responds to diverse stimuli by changing the levels of specific effector proteins. These changes are usually examined using high throughput RNA sequencing data (RNA-Seq); transcriptional regulation is generally assumed to directly influence protein abundances. However, the correlation between RNA-Seq and proteomics data is in general quite limited owing to differences in protein stability and translational regulation. Here we perform RNA-Seq, ribosome profiling and proteomics analyses in baker's yeast cells grown in rich media and oxidative stress conditions to examine gene expression regulation at various levels. With the exception of a small set of genes involved in the maintenance of the redox state, which are regulated at the transcriptional level, modulation of protein expression is largely driven by changes in the relative ribosome density across conditions. The majority of shifts in mRNA abundance are compensated by changes in the opposite direction in the number of translating ribosomes and are predicted to result in no net change at the protein level. We also identify a subset of mRNAs which is likely to undergo specific translational repression during stress and which includes cell cycle control genes. The study suggests that post-transcriptional buffering of gene expression may be more common than previously anticipated.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Regulação Fúngica da Expressão Gênica / Estresse Oxidativo Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Regulação Fúngica da Expressão Gênica / Estresse Oxidativo Idioma: En Ano de publicação: 2019 Tipo de documento: Article