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Semisynthetic tRNA Complement Mediates in Vitro Protein Synthesis

Overview of attention for article published in Journal of the American Chemical Society, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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2 X users
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3 patents

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96 Mendeley
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Title
Semisynthetic tRNA Complement Mediates in Vitro Protein Synthesis
Published in
Journal of the American Chemical Society, March 2015
DOI 10.1021/ja5131963
Pubmed ID
Authors

Zhenling Cui, Viktor Stein, Zakir Tnimov, Sergey Mureev, Kirill Alexandrov

Abstract

Genetic code expansion is a key objective of synthetic biology and protein engineering. Most efforts in this direction are focused on reassigning termination or decoding quadruplet codons. While the redundancy of genetic code provides a large number of potentially reassignable codons, their utility is diminished by the inevitable interaction with cognate aminoacyl-tRNAs. To address this problem, we sought to establish an in vitro protein synthesis system with a simplified synthetic tRNA complement, thereby orthogonalizing some of the sense codons. This quantitative in vitro peptide synthesis assay allowed us to analyze the ability of synthetic tRNAs to decode all of 61 sense codons. We observed that, with the exception of isoacceptors for Asn, Glu, and Ile, the majority of 48 synthetic Escherichia coli tRNAs could support protein translation in the cell-free system. We purified to homogeneity functional Asn, Glu, and Ile tRNAs from the native E. coli tRNA mixture, and by combining them with synthetic tRNAs, we formulated a semisynthetic tRNA complement for all 20 amino acids. We further demonstrated that this tRNA complement could restore the protein translation activity of tRNA-depleted E. coli lysate to a level comparable to that of total native tRNA. To confirm that the developed system could efficiently synthesize long polypeptides, we expressed three different sequences coding for superfolder GFP. This novel semisynthetic translation system is a powerful tool for tRNA engineering and potentially enables the reassignment of at least 9 sense codons coding for Ser, Arg, Leu, Pro, Thr, and Gly.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Sweden 1 1%
China 1 1%
Unknown 92 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 22%
Student > Ph. D. Student 20 21%
Student > Master 9 9%
Student > Bachelor 7 7%
Professor 7 7%
Other 16 17%
Unknown 16 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 36%
Agricultural and Biological Sciences 17 18%
Chemistry 12 13%
Chemical Engineering 4 4%
Engineering 4 4%
Other 7 7%
Unknown 17 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2022.
All research outputs
#4,988,907
of 24,323,943 outputs
Outputs from Journal of the American Chemical Society
#17,067
of 64,511 outputs
Outputs of similar age
#59,216
of 268,148 outputs
Outputs of similar age from Journal of the American Chemical Society
#181
of 477 outputs
Altmetric has tracked 24,323,943 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 64,511 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 268,148 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 477 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.