Cell-free prediction of protein expression costs for growing cells
| Autor: | Guy-Bart Stan, Olivier Borkowski, Tom Ellis, Michela Murgiano, Brooke Rothschild-Mancinelli, Carlos Bricio Garberi |
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| Přispěvatelé: | Engineering & Physical Science Research Council (EPSRC) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Proteomics
0301 basic medicine General Physics and Astronomy PATHWAY 0302 clinical medicine Gene expression Protein biosynthesis Coding region TRANSCRIPTION lcsh:Science GENE-EXPRESSION Multidisciplinary Escherichia coli Proteins Translation (biology) beta Carotene Multidisciplinary Sciences ESCHERICHIA-COLI Science & Technology - Other Topics Plasmids DNA Bacterial Science Green Fluorescent Proteins Heterologous Computational biology Biology Article General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Operon Escherichia coli BIOSYNTHESIS Computer Simulation RNA Messenger PROGRESS Gene Gene Library Science & Technology FUNCTIONAL-ANALYSIS Cell-Free System Models Genetic Cell growth GROWTH-RATE General Chemistry SYNTHETIC BIOLOGY 030104 developmental biology Protein Biosynthesis lcsh:Q TRANSLATION Software 030217 neurology & neurosurgery |
| Zdroj: | Nature Communications, Vol 9, Iss 1, Pp 1-11 (2018) Nature Communications |
| ISSN: | 2041-1723 |
| Popis: | 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 given gene is a major challenge, as multiple processes and factors combine to determine translation efficiency. To enable prediction of the cost of gene expression in bacteria, we describe here a standard cell-free lysate assay that provides a relative measure of resource consumption when a protein coding sequence is expressed. These lysate measurements can then be used with a computational model of translation to predict 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. The translation of heterologous proteins places a burden on host cell resources, affecting growth and productivity. Here the authors develop a cell-free assay to measure resource consumption and predict in vivo burden. |
| Databáze: | OpenAIRE |
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