Large-scale 13C-flux analysis reveals mechanistic principles of metabolic network robustness to null mutations in yeast
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* Corresponding author: Uwe Sauer sauer@biotech.biol.ethz.ch
Genome Biology 2005, 6:R49 doi:10.1186/gb-2005-6-6-r49
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BioMed Central: 12 citations
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Sarah-Maria Fendt, Uwe Sauer BMC Systems Biology 2010, 4:12 (18 February 2010) |
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Buffering by gene duplicates: an analysis of molecular correlates and evolutionary conservation Kevin Hannay, Edward M Marcotte, Christine Vogel BMC Genomics 2008, 9:609 (16 December 2008) Gene duplication does contribute to the robustness of organisms against disruption of gene function but it appears to have a smaller effect than might be expected across a range of organisms, particularly in some eukaryotes.
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Pawel Durek, Dirk Walther BMC Systems Biology 2008, 2:100 (25 November 2008) |
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Evan S Snitkin, Aimée M Dudley, Daniel M Janse, Kaisheen Wong, George M Church, Daniel Segrè Genome Biology 2008, 9:R140 (22 September 2008) An iterative approach that integrates high-throughput measurements of yeast deletion mutants and flux balance model predictions improves understanding of both experimental and computational results. |
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Research article
Intawat Nookaew, Michael C Jewett, Asawin Meechai, Chinae Thammarongtham, Kobkul Laoteng, Supapon Cheevadhanarak, Jens Nielsen, Sakarindr Bhumiratana BMC Systems Biology 2008, 2:71 (7 August 2008) |
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Oxygen dependence of metabolic fluxes and energy generation of Saccharomyces cerevisiae CEN.PK113-1A Paula Jouhten, Eija Rintala, Anne Huuskonen, Anu Tamminen, Mervi Toivari, Marilyn Wiebe, Laura Ruohonen, Merja Penttilä, Hannu Maaheimo BMC Systems Biology 2008, 2:60 (9 July 2008) |
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Methodology article
Ari Rantanen, Juho Rousu, Paula Jouhten, Nicola Zamboni, Hannu Maaheimo, Esko Ukkonen BMC Bioinformatics 2008, 9:266 (6 June 2008) Metabolic flux ratios can be quickly derived using a new framework that automatically analyses 13C tracer measurements by using metabolic network models, removing the need for tedious manual analysis.
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Research article
Predicting biological system objectives de novo from internal state measurements Erwin P Gianchandani, Matthew A Oberhardt, Anthony P Burgard, Costas D Maranas, Jason A Papin BMC Bioinformatics 2008, 9:43 (24 January 2008) |
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Research article
From bit to it: How a complex metabolic network transforms information into living matter Andreas Wagner BMC Systems Biology 2007, 1:33 (30 July 2007) The accuracy with which yeast cells can sense nutrients bears a direct relationship to fitness, however, modeling metabolic flux reveals that the high accuracy needed to maximise optimal growth is beyond the cells' information processing capacity.
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Research
Oliver Frick, Christoph Wittmann Microbial Cell Factories 2005, 4:30 (3 November 2005) |
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Software
FiatFlux – a software for metabolic flux analysis from 13C-glucose experiments Nicola Zamboni, Eliane Fischer, Uwe Sauer BMC Bioinformatics 2005, 6:209 (25 August 2005) |