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

Abstract:
No abstract specified

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

help Submitter
Citation
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
Activity

Views: 1762

Created: 3rd Jan 2020 at 12:20

Last updated: 8th Mar 2024 at 07:44

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
(v.1.14.2)
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH