Evidence map›Paper›PMID 27841727›Full record

ArticleRNA biology2017

Atomic mutagenesis at the ribosomal decoding site.

Pius Schrode, Paul Huter, Nina Clementi, Matthias Erlacher

Abstract read
In one paragraph

Article in RNA biology, 2017. 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. Article
  3. Article
  4. Origin of the 16S Ribosomal Molecule from Ancestor tRNAs.Journal of molecular evolution · 2021
    Article
  5. 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.

Pius Schrodea Division of Genomics and RNomics, Medical University of Innsbruck , Innsbruck , Austria.
Paul Hutera Division of Genomics and RNomics, Medical University of Innsbruck , Innsbruck , Austria.
Nina Clementia Division of Genomics and RNomics, Medical University of Innsbruck , Innsbruck , Austria.
Matthias Erlachera Division of Genomics and RNomics, Medical University of Innsbruck , Innsbruck , Austria.

Funding

Austrian Science Fund FWF P 22658
6 · The paper itself

Abstract

Ribosomal decoding is an essential process in every living cell. During protein synthesis the 30S ribosomal subunit needs to accomplish binding and accurate decoding of mRNAs. From mutational studies and high-resolution crystal structures nucleotides G530, A1492 and A1493 of the 16S rRNA came into focus as important elements for the decoding process. Recent crystallographic data challenged the so far accepted model for the decoding mechanism. To biochemically investigate decoding in greater detail we applied an in vitro reconstitution approach to modulate single chemical groups at A1492 and A1493. The modified ribosomes were subsequently tested for their ability to efficiently decode the mRNA. Unexpectedly, the ribosome was rather tolerant toward modifications of single groups either at the base or at the sugar moiety in terms of translation activity. Concerning translation fidelity, the elimination of single chemical groups involved in a hydrogen bonding network between the tRNA, mRNA and rRNA did not change the accuracy of the ribosome. These results indicate that the contribution of those chemical groups and the formed hydrogen bonds are not crucial for ribosomal decoding.

Indexed as

Binding SitesCodonMutagenesisAminoglycosidesEscherichia coliProtein BiosynthesisRibosomesRNA, MessengerRNA, RibosomalRNA, Ribosomal, 16SRNA, TransferAminoglycosidesCodonRNA, MessengerRNA, RibosomalRNA, Ribosomal, 16SRNA, TransferAtomic mutagenesisin vitro translationmRNA decodingreconstitutionribosome

Identifiers

PMID27841727
PMCPMC5270523

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.