Biology – Quantitative Biology – Subcellular Processes
Scientific paper
2009-12-19
Phys. Rev. Lett. 104, 148103 (2010)
Biology
Quantitative Biology
Subcellular Processes
Scientific paper
10.1103/PhysRevLett.104.148103
Genetically identical cells under the same environmental conditions can show strong variations in protein copy numbers due to inherently stochastic events in individual cells. We here develop a theoretical framework to address how variations in enzyme abundance affect the collective kinetics of metabolic reactions observed within a population of cells. Kinetic parameters measured at the cell population level are shown to be systematically deviated from those of single cells, even within populations of homogeneous parameters. Because of these considerations, Michaelis-Menten kinetics can even be inappropriate to apply at the population level. Our findings elucidate a novel origin of discrepancy between in vivo and in vitro kinetics, and offer potential utility for analysis of single-cell metabolomic data.
Kim Pan-Jun
Price Nathan D.
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