Evidence map›Paper›PMID 30949051›Full record

ReviewFrontiers in pharmacology2019

The Application of Cell-Free Protein Synthesis in Genetic Code Expansion for Post-translational Modifications.

Sumana Venkat, Hao Chen, Qinglei Gan, Chenguang Fan

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Recombinant Protein Production and Purification of Insoluble Proteins.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  3. Review
  4. Review
  5. Cell-Free Protein Synthesis: A Promising Option for Future Drug Development.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2020
    Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sumana VenkatCell and Molecular Biology Program, University of Arkansas, Fayetteville, AR, United States.
Hao ChenCell and Molecular Biology Program, University of Arkansas, Fayetteville, AR, United States.
Qinglei GanDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR, United States.
Chenguang FanCell and Molecular Biology Program, University of Arkansas, Fayetteville, AR, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The translation system is a sophisticated machinery that synthesizes proteins from 20 canonical amino acids. Recently, the repertoire of such composition has been expanded by the introduction of non-canonical amino acids (ncAAs) with the genetic code expansion strategy, which provides proteins with designed properties and structures for protein studies and engineering. Although the genetic code expansion strategy has been mostly implemented by using living cells as the host, a number of limits such as poor cellular uptake or solubility of specific ncAA substrates and the toxicity of target proteins have hindered the production of certain ncAA-modified proteins. To overcome those challenges, cell-free protein synthesis (CFPS) has been applied as it allows the precise control of reaction components. Several approaches have been recently developed to increase the purity and efficiency of ncAA incorporation in CFPS. Here, we summarized recent development of CFPS with an emphasis on its applications in generating site-specific protein post-translational modifications by the genetic code expansion strategy.

Indexed as

cell-free protein synthesisgenetic code expansionnon-canonical amino acidpost-translational modificationprotein acetylationprotein methylationprotein phosphorylation

Identifiers

PMID30949051
PMCPMC6436179

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.