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

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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, System Biology

J. P. Pitkanen

Technical Research Centre of Finland (VTT)

J. van den Brink

Delft University of Technology

B.M. Bakker

Free University of Amsterdam

L. Bogner

University of Stuttgart

J. Bouwman

Free University of Amsterdam

J. I. Castrillo

University of Cambridge

A. Cankorur

Bogazici Universitesi

Pramote Chumnanpuen

Chalmers, Chemical and Biological Engineering, Life Sciences, System Biology

P. Daran-Lapujade

Delft University of Technology

D. Dikicioglu

Bogazici Universitesi

K. Van Eunen

Free University of Amsterdam

J. C. Ewald

Swiss Federal Institute of Technology in Zürich (ETH)

J.J. Heijnen

Delft University of Technology

B. Kirdar

Bogazici Universitesi

I. Mattila

Technical Research Centre of Finland (VTT)

F.I. Mensonides

Free University of 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

Free University of Amsterdam

J.H. de Winde

Delft University of Technology

Dina Petranovic Nielsen

Chalmers, Chemical and Biological Engineering, Life Sciences, System Biology

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, System Biology

Nature Communications

2041-1723 (ISSN)

Vol. 1 9

Areas of Advance

Life Science Engineering (2010-2018)

Subject Categories

Chemical Sciences

DOI

10.1038/ncomms1150

More information

Latest update

9/7/2018 1