Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains
Journal article, 2010
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.
Switzerland.
F-75700
UMR 5800
fermentative capacity
-8093 Zurich
quantitative-analysis
saccharomyces-cerevisiae strains
network
extraction
minimum information
glycolytic-enzymes
David] CNRS
metabolomics
chemostat cultures
genome
[Sherman
Lab Bordelais Rech Informat
Author
A.B. Canelas
Delft University of Technology
N. Harrison
University of Cambridge
A. Fazio
Technical University of Denmark (DTU)
Jie Zhang
Chalmers, Chemical and Biological Engineering, Life Sciences
J. P. Pitkanen
Technical Research Centre of Finland (VTT)
J. van den Brink
Delft University of Technology
B.M. Bakker
Vrije Universiteit Amsterdam
L. Bogner
University of Stuttgart
J. Bouwman
Vrije Universiteit Amsterdam
J. I. Castrillo
University of Cambridge
A. Cankorur
Bogazici University
Pramote Chumnanpuen
Chalmers, Chemical and Biological Engineering, Life Sciences
P. Daran-Lapujade
Delft University of Technology
D. Dikicioglu
Bogazici University
K. Van Eunen
Vrije Universiteit Amsterdam
J. C. Ewald
Swiss Federal Institute of Technology in Zürich (ETH)
J.J. Heijnen
Delft University of Technology
B. Kirdar
Bogazici University
I. Mattila
Technical Research Centre of Finland (VTT)
F.I. Mensonides
Vrije Universiteit Amsterdam
A. Niebel
University of Stuttgart
M. Penttila
Technical Research Centre of Finland (VTT)
J. Pronk
Delft University of Technology
M. Reuss
University of Stuttgart
L. Salusjarvi
Technical Research Centre of Finland (VTT)
Uwe H. Sauer
Swiss Federal Institute of Technology in Zürich (ETH)
D. Sherman
Centre national de la recherche scientifique (CNRS)
M. Siemann-Herzberg
University of Stuttgart
H.V. Westerhoff
Vrije Universiteit Amsterdam
J.H. de Winde
Delft University of Technology
Dina Petranovic Nielsen
Chalmers, Chemical and Biological Engineering, Life Sciences
S. G. Oliver
University of Cambridge
C. T. Workman
Technical University of Denmark (DTU)
N. Zamboni
Swiss Federal Institute of Technology in Zürich (ETH)
Jens B Nielsen
Chalmers, Chemical and Biological Engineering, Life Sciences
Nature Communications
2041-1723 (ISSN) 20411723 (eISSN)
Vol. 1 9 145Areas of Advance
Life Science Engineering (2010-2018)
Subject Categories
Chemical Sciences
DOI
10.1038/ncomms1150