Evidence map›Paper›PMID 29608805›Full record

ArticleMolecular microbiology2018

Rebuilding the bridge between transcription and translation.

Irina Artsimovitch

Open access · bronzeAbstract readComment
In one paragraph

Article in Molecular microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Structural basis of long-range transcription-translation coupling.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  16. Growth at best and worst of times.Nature microbiology · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Irina ArtsimovitchDepartment of Microbiology, The Center for RNA Biology, The Ohio State University, Columbus, Ohio, 43210, USA.ORCID 0000-0002-8604-0980
The Ohio State University · US

Funding

Mechnanism of transcript elongation control by RfaHR01GM067153 · NIGMS · OHIO STATE UNIVERSITY · PI IRINA ARTSIMOVITCH · 2003 to 2026
$8.0M
NIGMS NIH HHS R01 GM067153
6 · The paper itself

Abstract

In Bacteria, ribosomes may bind to the nascent RNA emerging from the transcribing RNA polymerase and initiate translation. Transcription-translation coupling plays diverse roles in cellular physiology, including attenuation control, mRNA surveillance and maintenance of genome integrity. While the existence of coupling is broadly accepted, its mechanism and ubiquity are debated. Structural evidence supports mutually exclusive modes of RNA polymerase-ribosome contacts. In a model based on nuclear magnetic resonance data, NusG binds to a ribosomal protein S10 and acts as an adapter between RNA polymerase and the 30S subunit. Recent single-particle cryo electron microscopy analyses of RNA polymerase bound to 30S and 70S ribosomes revealed extensive, and very distinct, contacts which are incompatible with bridging by NusG. Saxena et al. provide the first evidence for NusG-mediated coupling in vivo. Their results demonstrate that Escherichia coli NusG interacts with the 70S ribosomes through a previously established interface and that these interactions are required for survival when translation elongation is hindered to weaken coupling. Future studies will address a likely possibility that distinct bridging mechanisms underpin context-dependent coupling in the cell.

Indexed as

Escherichia coliTranscription FactorsDNA-Directed RNA PolymerasesEscherichia coli ProteinsModels, MolecularPeptide Elongation FactorsRibosomesDNA-Directed RNA PolymerasesEscherichia coli ProteinsNusG protein, E coliPeptide Elongation FactorsTranscription Factors

Identifiers

PMID29608805
PMCPMC5980768
OpenAlexW2795426282

What OpenQuestion holds

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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.