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

Andre B. Canelas, Nicola Harrison, Alessandro Fazio, Jie Zhang, Juha-Pekka Pitkanen, Joost van den Brink, Barbara M. Bakker, Lara Bogner, Jildau Bouwman, Juan I. Castrillo, Ayca Cankorur, Pramote Chumnanpuen, Pascale Daran-Lapujade, Duygu Dikicioglu, Karen van Eunen, Jennifer C. Ewald, Joseph J. Heijnen, Betul Kirdar, Ismo Mattila, Femke I. C. MensonidesAnja Niebel, Merja Penttila, Jack T. Pronk, Matthias Reuss, Laura Salusjarvi, Uwe Sauer, David Sherman, Martin Siemann-Herzberg, Hans Westerhoff, Johannes de Winde, Dina Petranovic, Stephen G. Oliver, Christopher Workman, Nicola Zamboni, Jens Nielsen

    Research output: Contribution to journalJournal articlepeer-review


    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
    Pages (from-to)145
    Publication statusPublished - 2010


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