CANELAS, André B; HARRISON, Nicola; FAZIO, Alessandro; ZHANG, Jie; PITKÄNEN, Juha-Pekka; VAN DEN BRINK, Joost; BAKKER, Barbara M; BOGNER, Lara; BOUWMAN, Jildau; CASTRILLO, Juan I; CANKORUR, Ayca; CHUMNANPUEN, Pramote; DARAN-LAPUJADE, Pascale; DIKICIOGLU, Duygu; VAN EUNEN, Karen; EWALD, Jennifer C; HEIJNEN, Joseph J; KIRDAR, Betul; MATTILA, Ismo; MENSONIDES, Femke I C; NIEBEL, Anja; PENTTILÄ, Merja; PRONK, Jack T; REUSS, Matthias; SALUSJÄRVI, Laura; SAUER, Uwe; SHERMAN, David James; SIEMANN-HERZBERG, Martin; WESTERHOFF, Hans; DE WINDE, Johannes; PETRANOVIC, Dina; OLIVER, Stephen G; WORKMAN, Christopher T; ZAMBONI, Nicola; NIELSEN, Jens

doi:10.1038/ncomms1150

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CANELAS, André B
Department of Biotechnology [Delft]

HARRISON, Nicola
Cambridge Systems Biology Centre & Department of Biochemistry [CSBC]

FAZIO, Alessandro
Danmarks Tekniske Universitet = Technical University of Denmark [DTU]

CANELAS, André B
Department of Biotechnology [Delft]

HARRISON, Nicola
Cambridge Systems Biology Centre & Department of Biochemistry [CSBC]

FAZIO, Alessandro
Danmarks Tekniske Universitet = Technical University of Denmark [DTU]

ZHANG, Jie
Centre for Wireless Network Design [CWIND]
Chalmers University of Technology [Göteborg]

PITKÄNEN, Juha-Pekka
Technical Research Centre of Finland

VAN DEN BRINK, Joost
Department of Biotechnology [Delft]

BAKKER, Barbara M
Department of Molecular Cell Physiology [VU Amsterdam]

BOGNER, Lara
University of Stuttgart

BOUWMAN, Jildau
Department of Molecular Cell Physiology [VU Amsterdam]

CASTRILLO, Juan I
Cambridge Systems Biology Centre & Department of Biochemistry [CSBC]

CANKORUR, Ayca
Department of Chemical Engineering [Bogazici] [ChE]

CHUMNANPUEN, Pramote
Chalmers University of Technology [Göteborg]

DARAN-LAPUJADE, Pascale
Department of Biotechnology [Delft]

DIKICIOGLU, Duygu
Department of Chemical Engineering [Bogazici] [ChE]

VAN EUNEN, Karen
Department of Molecular Cell Physiology [VU Amsterdam]

EWALD, Jennifer C
Institute for Molecular Systems Biology [ETH Zurich] [IMSB]

HEIJNEN, Joseph J
Department of Biotechnology [Delft]

KIRDAR, Betul
Department of Chemical Engineering [Bogazici] [ChE]

MATTILA, Ismo
Technical Research Centre of Finland

MENSONIDES, Femke I C
Department of Molecular Cell Physiology [VU Amsterdam]

NIEBEL, Anja
University of Stuttgart

PENTTILÄ, Merja
Technical Research Centre of Finland

PRONK, Jack T
Department of Biotechnology [Delft]

REUSS, Matthias
University of Stuttgart

SALUSJÄRVI, Laura
Technical Research Centre of Finland

SAUER, Uwe
Institute for Molecular Systems Biology [ETH Zurich] [IMSB]

SHERMAN, David James
Models and Algorithms for the Genome [ MAGNOME]
Modèles et algorithmes pour la Bioinformatique et la Visualisation d'informations; [MABIOVIS]

SIEMANN-HERZBERG, Martin
University of Stuttgart

WESTERHOFF, Hans
Department of Molecular Cell Physiology [VU Amsterdam]

DE WINDE, Johannes
Department of Biotechnology [Delft]

PETRANOVIC, Dina
Chalmers University of Technology [Göteborg]

OLIVER, Stephen G
Cambridge Systems Biology Centre & Department of Biochemistry [CSBC]

WORKMAN, Christopher T
Danmarks Tekniske Universitet = Technical University of Denmark [DTU]

ZAMBONI, Nicola
Institute for Molecular Systems Biology [ETH Zurich] [IMSB]

NIELSEN, Jens
Chalmers University of Technology [Göteborg]

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Ce document a été publié dans

Nature Communications. 2010-12, vol. 1, n° 9, p. 145

Nature Publishing Group

Résumé en anglais

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.< Réduire