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Improved Cell-Free RNA and Protein Synthesis System

Overview of attention for article published in PLOS ONE, September 2014
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Title
Improved Cell-Free RNA and Protein Synthesis System
Published in
PLOS ONE, September 2014
DOI 10.1371/journal.pone.0106232
Pubmed ID
Authors

Jun Li, Liangcai Gu, John Aach, George M. Church

Abstract

Cell-free RNA and protein synthesis (CFPS) is becoming increasingly used for protein production as yields increase and costs decrease. Advances in reconstituted CFPS systems such as the Protein synthesis Using Recombinant Elements (PURE) system offer new opportunities to tailor the reactions for specialized applications including in vitro protein evolution, protein microarrays, isotopic labeling, and incorporating unnatural amino acids. In this study, using firefly luciferase synthesis as a reporter system, we improved PURE system productivity up to 5 fold by adding or adjusting a variety of factors that affect transcription and translation, including Elongation factors (EF-Ts, EF-Tu, EF-G, and EF4), ribosome recycling factor (RRF), release factors (RF1, RF2, RF3), chaperones (GroEL/ES), BSA and tRNAs. The work provides a more efficient defined in vitro transcription and translation system and a deeper understanding of the factors that limit the whole system efficiency.

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Mendeley readers

The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 1 <1%
Lithuania 1 <1%
Argentina 1 <1%
Mexico 1 <1%
Unknown 233 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 26%
Student > Ph. D. Student 55 23%
Student > Bachelor 33 14%
Student > Master 26 11%
Other 11 5%
Other 26 11%
Unknown 27 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 84 35%
Agricultural and Biological Sciences 72 30%
Chemistry 19 8%
Engineering 15 6%
Chemical Engineering 5 2%
Other 17 7%
Unknown 30 12%