A genetic mammalian proportional-integral feedback control circuit for robust and precise gene regulation.
Timothy FreiChing-Hsiang ChangMaurice FiloAsterios ArampatzisMustafa KhammashPublished in: Proceedings of the National Academy of Sciences of the United States of America (2022)
The processes that keep a cell alive are constantly challenged by unpredictable changes in its environment. Cells manage to counteract these changes by employing sophisticated regulatory strategies that maintain a steady internal milieu. Recently, the antithetic integral feedback motif has been demonstrated to be a minimal and universal biological regulatory strategy that can guarantee robust perfect adaptation for noisy gene regulatory networks in Escherichia coli . Here, we present a realization of the antithetic integral feedback motif in a synthetic gene circuit in mammalian cells. We show that the motif robustly maintains the expression of a synthetic transcription factor at tunable levels even when it is perturbed by increased degradation or its interaction network structure is perturbed by a negative feedback loop with an RNA-binding protein. We further demonstrate an improved regulatory strategy by augmenting the antithetic integral motif with additional negative feedback to realize antithetic proportional-integral control. We show that this motif produces robust perfect adaptation while also reducing the variance of the regulated synthetic transcription factor. We demonstrate that the integral and proportional-integral feedback motifs can mitigate the impact of gene expression burden, and we computationally explore their use in cell therapy. We believe that the engineering of precise and robust perfect adaptation will enable substantial advances in industrial biotechnology and cell-based therapeutics.
Keyphrases
- transcription factor
- cell therapy
- gene expression
- escherichia coli
- binding protein
- single cell
- stem cells
- genome wide identification
- induced apoptosis
- small molecule
- poor prognosis
- copy number
- heavy metals
- risk assessment
- risk factors
- staphylococcus aureus
- oxidative stress
- signaling pathway
- cystic fibrosis
- biofilm formation