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

A. B. Canelas ; N. Harrison ; A. Fazio ; Jie Zhang (Institutionen för kemi- och bioteknik, Systembiologi) ; J. P. Pitkanen ; J. van den Brink ; B. M. Bakker ; L. Bogner ; J. Bouwman ; J. I. Castrillo ; A. Cankorur ; Pramote Chumnanpuen (Institutionen för kemi- och bioteknik, Systembiologi) ; P. Daran-Lapujade ; D. Dikicioglu ; K. Van Eunen ; J. C. Ewald ; J. J. Heijnen ; B. Kirdar ; I. Mattila ; F. I. C. Mensonides ; A. Niebel ; M. Penttila ; J. T. Pronk ; M. Reuss ; L. Salusjarvi ; U. Sauer ; D. Sherman ; M. Siemann-Herzberg ; H. Westerhoff ; J. de Winde ; Dina Petranovic (Institutionen för kemi- och bioteknik, Systembiologi) ; S. G. Oliver ; C. T. Workman ; N. Zamboni ; Jens B. Nielsen (Institutionen för kemi- och bioteknik, Systembiologi)
Nature Communications (2041-1723). Vol. 1 (2010),
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: saccharomyces-cerevisiae strains, minimum information, glycolytic-enzymes, chemostat cultures, fermentative capacity, quantitative-analysis, genome, metabolomics, extraction, network, -8093 Zurich, Switzerland., [Sherman, David] CNRS, UMR 5800, Lab Bordelais Rech Informat, F-75700

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Denna post skapades 2011-03-30. Senast ändrad 2014-10-27.
CPL Pubid: 138435


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Institutionen för kemi- och bioteknik, Systembiologi (2008-2014)



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