Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains

Publication: Research - peer-reviewJournal article – Annual report year: 2011

  • Author: Canelas, Andre B.

    Delft University of Technology

  • Author: Harrison, Nicola

    University of Cambridge

  • Author: Fazio, Alessandro

    Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark

  • Author: Zhang, Jie

    Chalmers University of Technology

  • Author: Pitkanen, Juha-Pekka

    VTT Technical Research Centre of Finland.

  • Author: van den Brink, Joost

    Delft University of Technology

  • Author: Bakker, Barbara M.

    Vrije Universiteit Amsterdam

  • Author: Bogner, Lara

    University of Stuttgart, Institut für Bioverfahrenstechnik

  • Author: Bouwman, Jildau

    Vrije Universiteit Amsterdam

  • Author: Castrillo, Juan I.

    University of Cambridge

  • Author: Cankorur, Ayca

    Bogazici University, Department of Chemical Engineering

  • Author: Chumnanpuen, Pramote

    Chalmers University of Technology

  • Author: Daran-Lapujade, Pascale

    Delft University of Technology

  • Author: Dikicioglu, Duygu

    Bogazici University, Department of Chemical Engineering

  • Author: van Eunen, Karen

    Vrije Universiteit Amsterdam

  • Author: Ewald, Jennifer C.

    Swiss Federal Institute of Technology Zurich

  • Author: Heijnen, Joseph J.

    Delft University of Technology

  • Author: Kirdar, Betul

    Bogazici University, Department of Chemical Engineering

  • Author: Mattila, Ismo

    VTT Technical Research Centre of Finland.

  • Author: Mensonides, Femke I. C.

    Vrije Universiteit Amsterdam

  • Author: Niebel, Anja

    University of Stuttgart, Institut für Bioverfahrenstechnik

  • Author: Penttila, Merja

    VTT Technical Research Centre of Finland.

  • Author: Pronk, Jack T.

    Delft University of Technology

  • Author: Reuss, Matthias

    University of Stuttgart, Institut für Bioverfahrenstechnik

  • Author: Salusjarvi, Laura

    VTT Technical Research Centre of Finland.

  • Author: Sauer, Uwe

    Swiss Federal Institute of Technology Zurich

  • Author: Sherman, David

    Laboratoire Bordelais de Recherche en Informatique

  • Author: Siemann-Herzberg, Martin

    University of Stuttgart, Institut für Bioverfahrenstechnik

  • Author: Westerhoff, Hans

    Vrije Universiteit Amsterdam

  • Author: de Winde, Johannes

    Delft University of Technology

  • Author: Petranovic, Dina

    Chalmers University of Technology

  • Author: Oliver, Stephen G.

    University of Cambridge

  • Author: Workman, Christopher

    Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kemitorvet, 2800, Kgs. Lyngby, Denmark

  • Author: Zamboni, Nicola

    Swiss Federal Institute of Technology Zurich

  • Author: Nielsen, Jens

    Chalmers University of Technology

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The field of systems biology is often held back by difficulties in obtaining comprehensive, high-quality, quantitative data sets. In this paper, we undertook an interlaboratory effort to generate such a data set for a very large number of cellular components in the yeast Saccharomyces cerevisiae, a widely used model organism that is also used in the production of fuels, chemicals, food ingredients and pharmaceuticals. With the current focus on biofuels and sustainability, there is much interest in harnessing this species as a general cell factory. In this study, we characterized two yeast strains, under two standard growth conditions. We ensured the high quality of the experimental data by evaluating a wide range of sampling and analytical techniques. Here we show significant differences in the maximum specific growth rate and biomass yield between the two strains. On the basis of the integrated analysis of the high-throughput data, we hypothesize that differences in phenotype are due to differences in protein metabolism.
Original languageEnglish
JournalNature Communications
Publication date2010
Volume1
Pages145
ISSN2041-1723
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 20
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