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When synthetic biology fails: a modular framework for modelling genetic stability in engineered cell populations
[article]
2022
bioRxiv
pre-print
Predicting the dynamics of mutation spread in engineered cell populations is a sought-after goal in synthetic biology. Until now, models that capture these processes have been lacking, either by failing to account for the diversity of mutation types, or by failing to link the growth rate of a cell to the consumption of shared cellular resources by synthetic constructs. In this study we address these shortcomings by building a novel mutation-aware modelling framework of cell growth in a
doi:10.1101/2022.11.28.518161
fatcat:zqzl7kw5yzhmrafx6mropcyq2a