Publisher Correction: Modelling genetic stability in engineered cell populations

Ingram, Duncan; Stan, Guy-Bart

doi:10.1038/s41467-023-39654-4

Cited by 1 publication

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“…Besides maintaining modularity, our controller could slow the loss of synthetic genes by engineered cells. A loss of heterologous gene expression to mutation normally means that the growth rate is less impaired by gene expression burden, so mutants outcompete the original engineered cells 58 . Conversely, as long as our controller itself remains functional, it keeps resource availability roughly constant regardless of whether any other synthetic genes are expressed.…”

Section: Mitigating Cell-wide Resource Couplings By Integral Feedbackmentioning

confidence: 99%

A coarse-grained bacterial cell model for resource-aware analysis and design of synthetic gene circuits

Sechkar,

Steel,

Perrino

et al. 2024

Nat Commun

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Within a cell, synthetic and native genes compete for expression machinery, influencing cellular process dynamics through resource couplings. Models that simplify competitive resource binding kinetics can guide the design of strategies for countering these couplings. However, in bacteria resource availability and cell growth rate are interlinked, which complicates resource-aware biocircuit design. Capturing this interdependence requires coarse-grained bacterial cell models that balance accurate representation of metabolic regulation against simplicity and interpretability. We propose a coarse-grained E. coli cell model that combines the ease of simplified resource coupling analysis with appreciation of bacterial growth regulation mechanisms and the processes relevant for biocircuit design. Reliably capturing known growth phenomena, it provides a unifying explanation to disparate empirical relations between growth and synthetic gene expression. Considering a biomolecular controller that makes cell-wide ribosome availability robust to perturbations, we showcase our model’s usefulness in numerically prototyping biocircuits and deriving analytical relations for design guidance.

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Section: Mitigating Cell-wide Resource Couplings By Integral Feedbackmentioning

confidence: 99%

A coarse-grained bacterial cell model for resource-aware analysis and design of synthetic gene circuits

Sechkar,

Steel,

Perrino

et al. 2024

Nat Commun

Self Cite

View full text Add to dashboard Cite

show abstract

Publisher Correction: Modelling genetic stability in engineered cell populations

Cited by 1 publication

References 0 publications

A coarse-grained bacterial cell model for resource-aware analysis and design of synthetic gene circuits

A coarse-grained bacterial cell model for resource-aware analysis and design of synthetic gene circuits

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