Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains
Artikel i vetenskaplig tidskrift, 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.

extraction

F-75700

chemostat cultures

-8093 Zurich

glycolytic-enzymes

genome

fermentative capacity

[Sherman

UMR 5800

metabolomics

network

minimum information

Switzerland.

David] CNRS

quantitative-analysis

saccharomyces-cerevisiae strains

Lab Bordelais Rech Informat

Författare

A.B. Canelas

Delft University of Technology

N. Harrison

University of Cambridge

A. Fazio

Danmarks Tekniske Universitet

Jie Zhang

Kemi- och bioteknik, Livsvetenskaper, Systembiologi

J. P. Pitkanen

VTT Technical Research Centre of Finland

J. van den Brink

Delft University of Technology

B.M. Bakker

Vrije Universiteit Amsterdam

L. Bogner

Universitat Stuttgart

J. Bouwman

Vrije Universiteit Amsterdam

J. I. Castrillo

University of Cambridge

A. Cankorur

Bogazici Universitesi

Pramote Chumnanpuen

Kemi- och bioteknik, Livsvetenskaper, Systembiologi

P. Daran-Lapujade

Delft University of Technology

D. Dikicioglu

Bogazici Universitesi

K. Van Eunen

Vrije Universiteit Amsterdam

J. C. Ewald

ETH Zurich

J.J. Heijnen

Delft University of Technology

B. Kirdar

Bogazici Universitesi

I. Mattila

VTT Technical Research Centre of Finland

F.I. Mensonides

Vrije Universiteit Amsterdam

A. Niebel

Universitat Stuttgart

M. Penttila

VTT Technical Research Centre of Finland

J. Pronk

Delft University of Technology

M. Reuss

Universitat Stuttgart

L. Salusjarvi

VTT Technical Research Centre of Finland

Uwe H. Sauer

ETH Zurich

D. Sherman

CNRS Centre National de la Recherche Scientifique

M. Siemann-Herzberg

Universitat Stuttgart

H.V. Westerhoff

Vrije Universiteit Amsterdam

J.H. de Winde

Delft University of Technology

Dina Petranovic Nielsen

Kemi- och bioteknik, Livsvetenskaper, Systembiologi

S. G. Oliver

University of Cambridge

C. T. Workman

Danmarks Tekniske Universitet

N. Zamboni

ETH Zurich

Jens B Nielsen

Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Nature Communications

2041-1723 (ISSN)

Vol. 1

Styrkeområden

Livsvetenskaper och teknik

Ämneskategorier

Kemi

DOI

10.1038/ncomms1150