Kinetic modelling of quantitative proteome data predicts metabolic reprogramming of liver cancer

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Citation: Br J Cancer 153(16) : 17

Date Published: 10th Dec 2019

Registered Mode: Not specified

Authors: Nikolaus Berndt, Antje Egners, Guido Mastrobuoni, Olga Vvedenskaya, Athanassios Fragoulis, Aurélien Dugourd, Sascha Bulik, Matthias Pietzke, Chris Bielow, Rob van Gassel, Steven W. Olde Damink, Merve Erdem, Julio Saez-Rodriguez, Hermann-Georg Holzhütter, Stefan Kempa, Thorsten Cramer

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Berndt, N., Egners, A., Mastrobuoni, G., Vvedenskaya, O., Fragoulis, A., Dugourd, A., Bulik, S., Pietzke, M., Bielow, C., van Gassel, R., Damink, S. W. O., Erdem, M., Saez-Rodriguez, J., Holzhütter, H.-G., Kempa, S., & Cramer, T. (2019). Kinetic modelling of quantitative proteome data predicts metabolic reprogramming of liver cancer. In British Journal of Cancer (Vol. 122, Issue 2, pp. 233–244). Springer Science and Business Media LLC. https://doi.org/10.1038/s41416-019-0659-3
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Created: 3rd Jan 2020 at 12:20

Last updated: 8th Mar 2024 at 07:44

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