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Determinants of RNA metabolism in the Schizosaccharomyces pombe genome.
Eser, Philipp; Wachutka, Leonhard; Maier, Kerstin C; Demel, Carina; Boroni, Mariana; Iyer, Srignanakshi; Cramer, Patrick; Gagneur, Julien.
Afiliação
  • Eser P; Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Wachutka L; Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Maier KC; Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
  • Demel C; Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
  • Boroni M; Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Iyer S; Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Cramer P; Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany patrick.cramer@mpibpc.mpg.de gagneur@in.tum.de.
  • Gagneur J; Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany patrick.cramer@mpibpc.mpg.de gagneur@in.tum.de.
Mol Syst Biol ; 12(2): 857, 2016 Feb 16.
Article em En | MEDLINE | ID: mdl-26883383
To decrypt the regulatory code of the genome, sequence elements must be defined that determine the kinetics of RNA metabolism and thus gene expression. Here, we attempt such decryption in an eukaryotic model organism, the fission yeast S. pombe. We first derive an improved genome annotation that redefines borders of 36% of expressed mRNAs and adds 487 non-coding RNAs (ncRNAs). We then combine RNA labeling in vivo with mathematical modeling to obtain rates of RNA synthesis and degradation for 5,484 expressed RNAs and splicing rates for 4,958 introns. We identify functional sequence elements in DNA and RNA that control RNA metabolic rates and quantify the contributions of individual nucleotides to RNA synthesis, splicing, and degradation. Our approach reveals distinct kinetics of mRNA and ncRNA metabolism, separates antisense regulation by transcription interference from RNA interference, and provides a general tool for studying the regulatory code of genomes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Schizosaccharomyces / RNA Fúngico / RNA Mensageiro / Regulação Fúngica da Expressão Gênica / Genoma Fúngico Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Schizosaccharomyces / RNA Fúngico / RNA Mensageiro / Regulação Fúngica da Expressão Gênica / Genoma Fúngico Idioma: En Ano de publicação: 2016 Tipo de documento: Article