Evidence map›Paper›PMID 27169680›Full record

ReviewMolecular microbiology2016

Non-canonical roles of tRNAs and tRNA mimics in bacterial cell biology.

Assaf Katz, Sara Elgamal, Andrei Rajkovic, Michael Ibba

Open access · greenAbstract readReview
In one paragraph

Review in Molecular microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

45 citing papers in PubMed, 63 citations in OpenAlex.

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  16. Identification of over ten thousand candidate structured RNAs in viruses and phages.Computational and structural biotechnology journal · 2023
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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 at 2 institutions in 2 countries.

Assaf KatzPrograma de Biología Celular y Molecular, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, 8380453, Chile.
Sara ElgamalDepartment of Microbiology and The Center for RNA Biology, Ohio State University, Columbus, Ohio, 43210, USA.
Andrei RajkovicDepartment of Microbiology and The Center for RNA Biology, Ohio State University, Columbus, Ohio, 43210, USA.
Michael IbbaDepartment of Microbiology and The Center for RNA Biology, Ohio State University, Columbus, Ohio, 43210, USA.
The Ohio State University · USUniversity of Chile · CL

Funding

Mechanisms of translational controlR01GM065183 · NIGMS · OHIO STATE UNIVERSITY · PI DUNHAM, CHRISTINE M, FREDRICK, KURT L · 2003 to 2020
$4.9M
NIGMS NIH HHS R01 GM065183
6 · The paper itself

Abstract

Transfer RNAs (tRNAs) are the macromolecules that transfer activated amino acids from aminoacyl-tRNA synthetases to the ribosome, where they are used for the mRNA guided synthesis of proteins. Transfer RNAs are ancient molecules, perhaps even predating the existence of the translation machinery. Albeit old, these molecules are tremendously conserved, a characteristic that is well illustrated by the fact that some bacterial tRNAs are efficient and specific substrates of eukaryotic aminoacyl-tRNA synthetases and ribosomes. Considering their ancient origin and high structural conservation, it is not surprising that tRNAs have been hijacked during evolution for functions outside of translation. These roles beyond translation include synthetic, regulatory and information functions within the cell. Here we provide an overview of the non-canonical roles of tRNAs and their mimics in bacteria, and discuss some of the common themes that arise when comparing these different functions.

Indexed as

Amino Acyl-tRNA SynthetasesBacteriaRNA, BacterialRNA, TransferAmino Acyl-tRNA SynthetasesRNA, BacterialRNA, Transfer

Identifiers

PMID27169680
PMCPMC5003029
OpenAlexW2372992800

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.