Cell-free prediction of protein expression costs for growing cells

• Published in: Nature communications Vol. 9; no. 1; pp. 1457 - 11
• Main Authors: Borkowski, Olivier, Bricio, Carlos, Murgiano, Michela, Rothschild-Mancinelli, Brooke, Stan, Guy-Bart, Ellis, Tom
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 13.04.2018; Nature Publishing Group; Nature Portfolio
• Subjects: 14; 38; 38/35; 631/553; 631/553/2691; 631/553/2697; 631/553/552; 82/80; Amino acid sequence; beta Carotene - metabolism; Biochemistry, Molecular Biology; Cell-Free System; Computer applications; Computer Simulation; DNA, Bacterial - metabolism; E coli; Escherichia coli - metabolism; Escherichia coli Proteins - metabolism; Gene expression; Gene Library; Green Fluorescent Proteins - metabolism; Humanities and Social Sciences; Life Sciences; Models, Genetic; Molecular biology; multidisciplinary; Operon; Operons; Plasmids - metabolism; Predictions; Protein Biosynthesis; Proteins; Proteomics; Resource consumption; RNA, Messenger - metabolism; Science; Science (multidisciplinary); Software; Translation

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 tran...