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Systems-level analysis of mechanisms regulating yeast metabolic flux.
Hackett, Sean R; Zanotelli, Vito R T; Xu, Wenxin; Goya, Jonathan; Park, Junyoung O; Perlman, David H; Gibney, Patrick A; Botstein, David; Storey, John D; Rabinowitz, Joshua D.
Afiliação
  • Hackett SR; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
  • Zanotelli VR; Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Xu W; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. Department of Chemistry, Princeton University, Princeton, NJ 08544, USA.
  • Goya J; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
  • Park JO; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
  • Perlman DH; Department of Chemistry, Princeton University, Princeton, NJ 08544, USA.
  • Gibney PA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
  • Botstein D; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
  • Storey JD; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA. Center for Statistics and Machine Learning, Princeton University, Princeton, NJ 08544, USA.
  • Rabinowitz JD; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. Department of Chemistry, Princeton University, Princeton, NJ 08544, USA. joshr@genomics.princeton.edu.
Science ; 354(6311)2016 10 28.
Article em En | MEDLINE | ID: mdl-27789812
Cellular metabolic fluxes are determined by enzyme activities and metabolite abundances. Biochemical approaches reveal the impact of specific substrates or regulators on enzyme kinetics but do not capture the extent to which metabolite and enzyme concentrations vary across physiological states and, therefore, how cellular reactions are regulated. We measured enzyme and metabolite concentrations and metabolic fluxes across 25 steady-state yeast cultures. We then assessed the extent to which flux can be explained by a Michaelis-Menten relationship between enzyme, substrate, product, and potential regulator concentrations. This revealed three previously unrecognized instances of cross-pathway regulation, which we biochemically verified. One of these involved inhibition of pyruvate kinase by citrate, which accumulated and thereby curtailed glycolytic outflow in nitrogen-limited yeast. Overall, substrate concentrations were the strongest driver of the net rates of cellular metabolic reactions, with metabolite concentrations collectively having more than double the physiological impact of enzymes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Proteínas de Saccharomyces cerevisiae / Redes e Vias Metabólicas Idioma: En Revista: Science Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Proteínas de Saccharomyces cerevisiae / Redes e Vias Metabólicas Idioma: En Revista: Science Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos