%0 Journal Article %1 ISI:000288225300013 %A Canelas, Andre B. %A Harrison, Nicola %A Fazio, Alessandro %A Zhang, Jie %A Pitkanen, Juha-Pekka %A van den Brink, Joost %A Bakker, Barbara M. %A Bogner, Lara %A Bouwman, Jildau %A Castrillo, Juan I. %A Cankorur, Ayca %A Chumnanpuen, Pramote %A Daran-Lapujade, Pascale %A Dikicioglu, Duygu %A van Eunen, Karen %A Ewald, Jennifer C. %A Heijnen, Joseph J. %A Kirdar, Betul %A Mattila, Ismo %A Mensonides, Femke I. C. %A Niebel, Anja %A Penttila, Merja %A Pronk, Jack T. %A Reuss, Matthias %A Salusjarvi, Laura %A Sauer, Uwe %A Sherman, David %A Siemann-Herzberg, Martin %A Westerhoff, Hans %A de Winde, Johannes %A Petranovic, Dina %A Oliver, Stephen G. %A Workman, Christopher T. %A Zamboni, Nicola %A Nielsen, Jens %C MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND %D 2010 %I NATURE PUBLISHING GROUP %J NATURE COMMUNICATIONS %K imported myown %R 10.1038/ncomms1150 %T Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains %U https://doi.org/10.1038/ncomms1150 %V 1 %X 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.

@article{ISI:000288225300013, abstract = {{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.}}, added-at = {2018-01-25T13:38:08.000+0100}, address = {{MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND}}, affiliation = {{Nielsen, J (Reprint Author), Chalmers, Dept Chem \& Biol Engn, SE-41296 Gothenburg, Sweden. Zhang, Jie; Chumnanpuen, Pramote; Petranovic, Dina; Nielsen, Jens, Chalmers, Dept Chem \& Biol Engn, SE-41296 Gothenburg, Sweden. Canelas, Andre B.; van den Brink, Joost; Daran-Lapujade, Pascale; Heijnen, Joseph J.; Pronk, Jack T.; de Winde, Johannes, Delft Univ Technol, Kluyver Ctr Genom Ind Fermentat, Dept Biotechnol, NL-2628 BC Delft, Netherlands. Harrison, Nicola; Castrillo, Juan I.; Oliver, Stephen G., Univ Cambridge, Cambridge Syst Biol Ctr, Cambridge CB2 1GA, England. Fazio, Alessandro; Workman, Christopher T., Tech Univ Denmark, Ctr Biol Sequence Anal, Dept Syst Biol, DK-2800 Lyngby, Denmark. Pitkanen, Juha-Pekka; Mattila, Ismo; Penttila, Merja; Salusjarvi, Laura, VTT Tech Res Ctr Finland, FI-02044 Espoo, Vtt, Finland. Bakker, Barbara M.; Bouwman, Jildau; van Eunen, Karen; Mensonides, Femke I. C.; Westerhoff, Hans, Vrije Univ Amsterdam, Dept Mol Cell Physiol, NL-1081 HV Amsterdam, Netherlands. Bogner, Lara; Niebel, Anja; Reuss, Matthias; Siemann-Herzberg, Martin, Univ Stuttgart, Inst Bioverfahrenstech, D-70569 Stuttgart, Germany. Cankorur, Ayca; Dikicioglu, Duygu; Kirdar, Betul, Bogazici Univ, Dept Chem Engn, TR-34342 Istanbul, Turkey. Ewald, Jennifer C.; Sauer, Uwe; Zamboni, Nicola, ETH, Inst Mol Syst Biol, CH-8093 Zurich, Switzerland. Sherman, David, CNRS, UMR 5800, Lab Bordelais Rech Informat, F-75700 Paris, France.}}, article-number = {{145}}, author = {Canelas, Andre B. and Harrison, Nicola and Fazio, Alessandro and Zhang, Jie and Pitkanen, Juha-Pekka and van den Brink, Joost and Bakker, Barbara M. and Bogner, Lara and Bouwman, Jildau and Castrillo, Juan I. and Cankorur, Ayca and Chumnanpuen, Pramote and Daran-Lapujade, Pascale and Dikicioglu, Duygu and van Eunen, Karen and Ewald, Jennifer C. and Heijnen, Joseph J. and Kirdar, Betul and Mattila, Ismo and Mensonides, Femke I. C. and Niebel, Anja and Penttila, Merja and Pronk, Jack T. and Reuss, Matthias and Salusjarvi, Laura and Sauer, Uwe and Sherman, David and Siemann-Herzberg, Martin and Westerhoff, Hans and de Winde, Johannes and Petranovic, Dina and Oliver, Stephen G. and Workman, Christopher T. and Zamboni, Nicola and Nielsen, Jens}, author-email = {{nielsenj@chalmers.se}}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/268bbb01aaea7eaf2026770a488b31124/siemannherzberg}, da = {{2018-01-25}}, doc-delivery-number = {{732YJ}}, doi = {{10.1038/ncomms1150}}, funding-acknowledgement = {{EU {[}LSHG-CT-2005-018942]; Chalmers Foundation; Knut and Alice Wallenberg Foundation}}, funding-text = {{This work has been conducted in the frame of the EU-funded project `Yeast Systems Biology Network' (YSBN, contract number LSHG-CT-2005-018942), which partly funded this research. We also acknowledge the Chalmers Foundation, the Knut and Alice Wallenberg Foundation and the EU-funded projects SYSINBIO and UNICELLSYS for financial support.}}, interhash = {1ffa0f646d164466be79f69577768767}, intrahash = {68bbb01aaea7eaf2026770a488b31124}, issn = {{2041-1723}}, journal = {{NATURE COMMUNICATIONS}}, journal-iso = {{Nat. Commun.}}, keywords = {imported myown}, keywords-plus = {{SACCHAROMYCES-CEREVISIAE STRAINS; MINIMUM INFORMATION; GLYCOLYTIC-ENZYMES; CHEMOSTAT CULTURES; FERMENTATIVE CAPACITY; QUANTITATIVE-ANALYSIS; GENOME; METABOLOMICS; EXTRACTION; NETWORK}}, language = {{English}}, month = {{DEC}}, number-of-cited-references = {{34}}, oa = {{gold}}, orcid-numbers = {{Westerhoff, Hans/0000-0002-0443-6114 Workman, Christopher/0000-0002-2210-3743 Harrison, Nicola/0000-0002-6822-6909 Pitkanen, Juha-Pekka/0000-0002-4006-0302 Petranovic, Dina/0000-0001-8724-3942 Bakker, Barbara/0000-0001-6274-3633 Daran-Lapujade, Pascale/0000-0002-4097-7831 Pronk, Jack/0000-0002-5617-4611 Nielsen, Jens/0000-0002-9955-6003 de Winde, Han/0000-0002-7999-9317 Chumnanpuen, Pramote/0000-0003-3072-1733}}, publisher = {{NATURE PUBLISHING GROUP}}, research-areas = {{Science \& Technology - Other Topics}}, researcherid-numbers = {{Westerhoff, Hans/I-5762-2012 Workman, Christopher/K-1066-2015 Harrison, Nicola/E-3185-2015 Pitkanen, Juha-Pekka/K-4658-2013 Penttila, Merja/A-4710-2013 Zamboni, Nicola/K-3042-2012 }}, times-cited = {{44}}, timestamp = {2018-01-25T12:38:18.000+0100}, title = {{Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains}}, type = {{Article}}, unique-id = {{ISI:000288225300013}}, url = {https://doi.org/10.1038/ncomms1150}, usage-count-last-180-days = {{1}}, usage-count-since-2013 = {{29}}, volume = {{1}}, web-of-science-categories = {{Multidisciplinary Sciences}}, year = {{2010}} }