Imperial College London
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Guy-Bart Stan

Faculty of Engineering, Department of Bioengineering

Visiting Professor
 
 
 
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Contact

 

+44 (0)20 7594 6375g.stan Website

 
 
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Location

 

B703Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Perrino:2022:10.23919/ACC53348.2022.9867225,
author = {Perrino, G and Stan, G-B},
doi = {10.23919/ACC53348.2022.9867225},
pages = {1373--1378},
publisher = {IEEE},
title = {Robust set-point regulation of gene expression using resource competition couplings in mammalian cells},
url = {http://dx.doi.org/10.23919/ACC53348.2022.9867225},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Gene expression depends on the cellular con-text. One major contributor to gene expression variability is competition for limited transcriptional and translational re-sources, which may induce indirect couplings among otherwise independently-regulated genes. Here, we apply control theoretical concepts and tools to design an incoherent feedforward loop (iFFL) biomolecular controller operating in mammalian cells using translational-resource competition couplings. Harnessing a resource-aware mathematical model, we demonstrate analytically and computationally that our resource-aware design can achieve near-constant set-point regulation of gene expression whilst ensuring robustness to plasmid uptake variation. We also provide an analytical condition on the model parameters to guide the design of the resource-aware iFFL controller ensuring robustness and performance in set-point regulation. Our theoretical design based on translational-resource competition couplings represents a promising approach to build more sophisticated resource-aware control circuits operating at the host-cell level.
AU  - Perrino,G
AU  - Stan,G-B
DO  - 10.23919/ACC53348.2022.9867225
EP  - 1378
PB  - IEEE
PY  - 2022///
SP  - 1373
TI  - Robust set-point regulation of gene expression using resource competition couplings in mammalian cells
UR  - http://dx.doi.org/10.23919/ACC53348.2022.9867225
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000865458701059&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - https://ieeexplore.ieee.org/document/9867225
UR  - http://hdl.handle.net/10044/1/101637
ER  -
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