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 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.
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