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

@unpublished{Borkowski:2017:10.1101/172627,
author = {Borkowski, O and Bricio, Garberi C and Murgiano, M and Stan, G-B and Ellis, T},
doi = {10.1101/172627},
publisher = {bioRxiv},
title = {Cell-free prediction of protein expression costs for growing cells},
url = {http://dx.doi.org/10.1101/172627},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - UNPB
AB  - Translating heterologous proteins places significant burden on host cells, consuming expression resources leading to slower cell growth and productivity. Yet predicting the cost of protein production for any gene is a major challenge, as multiple processes and factors determine translation efficiency. Here, to enable prediction of the cost of gene expression in bacteria, we describe a standard cell-free lysate assay that determines the relationship between in vivo and cell-free measurements and γ, a relative measure of the resource consumption when a given protein is expressed. When combined with a computational model of translation, this enables prediction of the in vivo burden placed on growing E. coli cells for a variety of proteins of different functions and lengths. Using this approach, we can predict the burden of expressing multigene operons of different designs and differentiate between the fraction of burden related to gene expression compared to action of a metabolic pathway.
AU  - Borkowski,O
AU  - Bricio,Garberi C
AU  - Murgiano,M
AU  - Stan,G-B
AU  - Ellis,T
DO  - 10.1101/172627
PB  - bioRxiv
PY  - 2017///
TI  - Cell-free prediction of protein expression costs for growing cells
UR  - http://dx.doi.org/10.1101/172627
UR  - https://www.biorxiv.org/content/early/2017/08/04/172627
UR  - http://hdl.handle.net/10044/1/64690
ER  -
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