Evidence map›Paper›PMID 30405060›Full record

ReviewGenes2018

Versatility of Synthetic tRNAs in Genetic Code Expansion.

Kyle S Hoffman, Ana Crnković, Dieter Söll

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Synthetic Tyrosine tRNA Molecules with Noncanonical Secondary Structures.International journal of molecular sciences · 2018
    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

3 authors at 1 institution in 1 country.

Kyle S HoffmanDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA. kyle.hoffman@yale.edu.ORCID 0000-0003-0170-2090
Ana CrnkovićDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA. ana.crnkovic@yale.edu.ORCID 0000-0002-0581-1887
Dieter SöllDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA. dieter.soll@yale.edu.ORCID 0000-0002-3077-8986
Yale University · US

Funding

Studies of Transfer RNAR35GM122560 · NIGMS · YALE UNIVERSITY · PI SOLL, DIETER · 2017 to 2022
$5.6M
National Institute of General Medical Sciences R35GM122560NIGMS NIH HHS R35 GM122560Office of Basic Energy Sciences DE-FG02-98ER20311
6 · The paper itself

Abstract

Transfer RNA (tRNA) is a dynamic molecule used by all forms of life as a key component of the translation apparatus. Each tRNA is highly processed, structured, and modified, to accurately deliver amino acids to the ribosome for protein synthesis. The tRNA molecule is a critical component in synthetic biology methods for the synthesis of proteins designed to contain non-canonical amino acids (ncAAs). The multiple interactions and maturation requirements of a tRNA pose engineering challenges, but also offer tunable features. Major advances in the field of genetic code expansion have repeatedly demonstrated the central importance of suppressor tRNAs for efficient incorporation of ncAAs. Here we review the current status of two fundamentally different translation systems (TSs), selenocysteine (Sec)- and pyrrolysine (Pyl)-TSs. Idiosyncratic requirements of each of these TSs mandate how their tRNAs are adapted and dictate the techniques used to select or identify the best synthetic variants.

Indexed as

genetic code expansionnon-canonical amino acidsselenocysteinesynthetic biologytransfer RNA

Identifiers

PMID30405060
PMCPMC6267555
OpenAlexW2900254858

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.