An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines.
We present the development and validation of a mathematical model that predicts how glucose dynamics influence metabolism and therefore tumor cell growth. Glucose, the starting material for glycolysis, has a fundamental influence on tumor cell growth. We employed time-resolved microscopy to track th...
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Auteurs principaux: | , , , , , , |
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Format: | article |
Langue: | EN |
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Public Library of Science (PLoS)
2021
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Accès en ligne: | https://doaj.org/article/150d9accb7674f75a65bd44e8bc827b6 |
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