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Kinetic modelling of quantitative proteome data predicts metabolic reprogramming of liver cancer
Nikolaus Berndt, Antje Egners, Guido Mastrobuoni, Olga Vvedenskaya, Athanassios Fragoulis, Aurélien Dugourd, Sascha Bulik, Matthias Pietzke, Chris Bielow, Rob van Gassel, Steven Olde Damink, Merve Erdem, View ORCID ProfileJulio Saez-Rodriguez, Hermann-Georg Holzhütter, View ORCID ProfileStefan Kempa, View ORCID ProfileThorsten Cramer
doi: https://doi.org/10.1101/275040
Nikolaus Berndt
1Institute for Theoretical Biology, Humboldt University Berlin, 10117 Berlin, Germany
Antje Egners
2Molecular Tumor Biology, Department of General, Visceral and Transplantation Surgery, RWTH University Hospital, 52074 Aachen, Germany
Guido Mastrobuoni
3Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine, 13125 Berlin, Germany
Olga Vvedenskaya
3Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine, 13125 Berlin, Germany
Athanassios Fragoulis
2Molecular Tumor Biology, Department of General, Visceral and Transplantation Surgery, RWTH University Hospital, 52074 Aachen, Germany
Aurélien Dugourd
4Joint Research Centre for Computational Biomedicine, Faculty of Medicine, RWTH Aachen University, 52074 Aachen, Germany
Sascha Bulik
1Institute for Theoretical Biology, Humboldt University Berlin, 10117 Berlin, Germany
Matthias Pietzke
3Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine, 13125 Berlin, Germany
Chris Bielow
3Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine, 13125 Berlin, Germany
5Bioinformatics Solution Center, Freie Universität Berlin, 14195 Berlin, Germany
Rob van Gassel
6Department of Surgery, Maastricht University Medical Centre, 6229 ER Maastricht, The Netherlands
7NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6229 ER Maastricht, The Netherlands
Steven Olde Damink
6Department of Surgery, Maastricht University Medical Centre, 6229 ER Maastricht, The Netherlands
7NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6229 ER Maastricht, The Netherlands
8Institute for Liver and Digestive Health, University College London, London WC1 6HX, UK
9ESCAM – European Surgery Center Aachen Maastricht, Germany and The Netherlands
Merve Erdem
2Molecular Tumor Biology, Department of General, Visceral and Transplantation Surgery, RWTH University Hospital, 52074 Aachen, Germany
Julio Saez-Rodriguez
4Joint Research Centre for Computational Biomedicine, Faculty of Medicine, RWTH Aachen University, 52074 Aachen, Germany
Hermann-Georg Holzhütter
1Institute for Theoretical Biology, Humboldt University Berlin, 10117 Berlin, Germany
Stefan Kempa
3Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine, 13125 Berlin, Germany
Thorsten Cramer
2Molecular Tumor Biology, Department of General, Visceral and Transplantation Surgery, RWTH University Hospital, 52074 Aachen, Germany
6Department of Surgery, Maastricht University Medical Centre, 6229 ER Maastricht, The Netherlands
7NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, 6229 ER Maastricht, The Netherlands
9ESCAM – European Surgery Center Aachen Maastricht, Germany and The Netherlands
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Posted March 05, 2018.
Kinetic modelling of quantitative proteome data predicts metabolic reprogramming of liver cancer
Nikolaus Berndt, Antje Egners, Guido Mastrobuoni, Olga Vvedenskaya, Athanassios Fragoulis, Aurélien Dugourd, Sascha Bulik, Matthias Pietzke, Chris Bielow, Rob van Gassel, Steven Olde Damink, Merve Erdem, Julio Saez-Rodriguez, Hermann-Georg Holzhütter, Stefan Kempa, Thorsten Cramer
bioRxiv 275040; doi: https://doi.org/10.1101/275040
Kinetic modelling of quantitative proteome data predicts metabolic reprogramming of liver cancer
Nikolaus Berndt, Antje Egners, Guido Mastrobuoni, Olga Vvedenskaya, Athanassios Fragoulis, Aurélien Dugourd, Sascha Bulik, Matthias Pietzke, Chris Bielow, Rob van Gassel, Steven Olde Damink, Merve Erdem, Julio Saez-Rodriguez, Hermann-Georg Holzhütter, Stefan Kempa, Thorsten Cramer
bioRxiv 275040; doi: https://doi.org/10.1101/275040
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