Stochasticity in cellular metabolism and growth

Approaches and consequences

Review (2018)
Author(s)

Martijn Wehrens (AMOLF Institute for Atomic and Molecular Physics)

Ferhat Büke (AMOLF Institute for Atomic and Molecular Physics, TU Delft - BN/Greg Bokinsky Lab)

Philippe Nghe (ESPCI)

Sander J. Tans (TU Delft - BN/Sander Tans Lab, AMOLF Institute for Atomic and Molecular Physics)

Research Group
BN/Greg Bokinsky Lab
DOI related publication
https://doi.org/10.1016/j.coisb.2018.02.006
More Info
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Publication Year
2018
Language
English
Research Group
BN/Greg Bokinsky Lab
Volume number
8
Pages (from-to)
131-136

Abstract

Advances in our ability to zoom in on single cells have revealed striking heterogeneity within isogenic populations. Attention has so far focussed predominantly on underlying stochastic variability in regulatory pathways and downstream differentiation events. In contrast, the role of stochasticity in metabolic processes and networks has long remained unaddressed. Here we review recent studies that have begun to overcome key technical challenges in addressing this issue. First findings have already demonstrated that metabolic networks are stochastic in nature, and highlight the plethora of cellular processes that are critically affected by it.

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