TY - JOUR
T1 - Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains
AU - Canelas, Andŕ B.
AU - Harrison, Nicola
AU - Fazio, Alessandro
AU - Zhang, Jie
AU - Pitkänen, Juha Pekka
AU - Van Den Brink, Joost
AU - Bakker, Barbara M.
AU - Bogner, Lara
AU - Bouwman, Jildau
AU - Castrillo, Juan I.
AU - Cankorur, Ayca
AU - Chumnanpuen, Pramote
AU - Daran-Lapujade, Pascale
AU - Dikicioglu, Duygu
AU - Van Eunen, Karen
AU - Ewald, Jennifer C.
AU - Heijnen, Joseph J.
AU - Kirdar, Betul
AU - Mattila, Ismo
AU - Mensonides, Femke I.C.
AU - Niebel, Anja
AU - Penttilä, Merja
AU - Pronk, Jack T.
AU - Reuss, Matthias
AU - Salusjärvi, Laura
AU - Sauer, Uwe
AU - Sherman, David
AU - Siemann-Herzberg, Martin
AU - Westerhoff, Hans
AU - De Winde, Johannes
AU - Petranovic, Dina
AU - Oliver, Stephen G.
AU - Workman, Christopher T.
AU - Zamboni, Nicola
AU - Nielsen, Jens
N1 - CA2: TK402
CA2: TK401
CA2: TK400
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79251556819&partnerID=8YFLogxK
U2 - 10.1038/ncomms1150
DO - 10.1038/ncomms1150
M3 - Article
C2 - 21266995
AN - SCOPUS:79251556819
SN - 2041-1723
VL - 1
JO - Nature Communications
JF - Nature Communications
IS - 9
M1 - 145
ER -
