Evidence map›Paper›PMID 19318213›Full record

ReviewChemistry & biology2009

Expanding the genetic code for biological studies.

Qian Wang, Angela R Parrish, Lei Wang

Open access · greenAbstract readReview
In one paragraph

Review in Chemistry & biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
8.7field-weighted citation impact, top 1% of its field
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

83 citing papers in PubMed, 225 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Efficient Amber SuppressionACS synthetic biology · 2022
    Article
  12. Article
  13. Incorporating, Quantifying, and Leveraging Noncanonical Amino Acids in Yeast.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Bifunctional Reagents for Formylglycine Conjugation: Pitfalls and Breakthroughs.Chembiochem : a European journal of chemical biology · 2020
    Article
  19. Expanding the Genetic Code for Neuronal Studies.Chembiochem : a European journal of chemical biology · 2020
    Review
  20. Aminoacyl-tRNA synthetases.RNA (New York, N.Y.) · 2020
    Review

23 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Qian WangThe Jack H. Skirball Center for Chemical Biology and Proteomics, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA.
Angela R Parrish
Lei Wang
Salk Institute for Biological Studies · US

Funding

Genetically Encoding Novel Amino Acids to Investigate Wnt Signaling in C. elegansDP2OD004744 · OD · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI WANG, LEI · 2008 to 2009
$3.0M
NIH HHS DP2 OD004744NIH HHS DP2OD004744
6 · The paper itself

Abstract

Using an orthogonal tRNA-synthetase pair, unnatural amino acids can be genetically encoded with high efficiency and fidelity, and over 40 unnatural amino acids have been site-specifically incorporated into proteins in Escherichia coli, yeast, or mammalian cells. Novel chemical or physical properties embodied in these amino acids enable new means for tailored manipulation of proteins. This review summarizes the methodology and recent progress in expanding this technology to eukaryotic cells. Applications of genetically encoded unnatural amino acids are highlighted with reports on labeling and modifying proteins, probing protein structure and function, identifying and regulating protein activity, and generating proteins with new properties. Genetic incorporation of unnatural amino acids provides a powerful method for investigating a wide variety of biological processes both in vitro and in vivo.

Indexed as

Genetic CodeAmino AcidsAmino Acyl-tRNA SynthetasesAnimalsMammalsProtein EngineeringAmino AcidsAmino Acyl-tRNA Synthetases

Identifiers

PMID19318213
PMCPMC2696486
OpenAlexW2146913917

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.