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Quantifying Cellular Capacity to Identify Gene Expression Designs With Reduced Burden

Francesca Ceroni, Rhys Algar, Guy-Bart Stan, View ORCID ProfileTom Ellis
doi: https://doi.org/10.1101/013110
Francesca Ceroni
1.Centre for Synthetic Biology and Innovation, and Department of Bioengineering Imperial College London, London SW7 2AZ, UK
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Rhys Algar
1.Centre for Synthetic Biology and Innovation, and Department of Bioengineering Imperial College London, London SW7 2AZ, UK
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Guy-Bart Stan
1.Centre for Synthetic Biology and Innovation, and Department of Bioengineering Imperial College London, London SW7 2AZ, UK
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Tom Ellis
1.Centre for Synthetic Biology and Innovation, and Department of Bioengineering Imperial College London, London SW7 2AZ, UK
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  • ORCID record for Tom Ellis
  • For correspondence: t.ellis@imperial.ac.uk
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Abstract

Heterologous gene expression can be a significant burden to cells, consuming resources and causing decreased growth and stability. We describe here an in vivo monitor that tracks E. coli capacity changes in real-time and can be used to assay the burden synthetic constructs and their parts impose. By measuring capacity, construct designs with reduced burden can be identifiedand shown to predictably outperform less efficient designs, despite having equivalent expression outputs.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 22, 2014.
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Quantifying Cellular Capacity to Identify Gene Expression Designs With Reduced Burden
Francesca Ceroni, Rhys Algar, Guy-Bart Stan, Tom Ellis
bioRxiv 013110; doi: https://doi.org/10.1101/013110
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Quantifying Cellular Capacity to Identify Gene Expression Designs With Reduced Burden
Francesca Ceroni, Rhys Algar, Guy-Bart Stan, Tom Ellis
bioRxiv 013110; doi: https://doi.org/10.1101/013110

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