Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains.
SHERMAN, David James
Models and Algorithms for the Genome [MAGNOME]
Modèles et algorithmes pour la Bioinformatique et la Visualisation d'informations; [MABIOVIS]
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Models and Algorithms for the Genome [MAGNOME]
Modèles et algorithmes pour la Bioinformatique et la Visualisation d'informations; [MABIOVIS]
Language
en
Article de revue
This item was published in
Nature Communications. 2010-12, vol. 1, n° 9, p. 145
Nature Publishing Group
English Abstract
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 ...Read more >
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.Read less <
European Project
Yeast Systems Biology Network
Origin
Hal imported