Evidence map›Paper›PMID 37400999›Full record

ArticleRNA biology2023

Investigating the correlation between Xrn1-resistant RNAs and frameshifter pseudoknots.

Ivar W Dilweg, Megan G Oskam, Sophie Overbeek, René C L Olsthoorn

Abstract read
In one paragraph

Article in RNA biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Identifying the interactions conferring functional mechanical rigidity on RNase-resistant RNA from Zika virus.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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.

Ivar W DilwegLeiden Institute of Chemistry, Leiden University, Leiden, The Netherlands.
Megan G OskamLeiden Institute of Chemistry, Leiden University, Leiden, The Netherlands.
Sophie OverbeekLeiden Institute of Chemistry, Leiden University, Leiden, The Netherlands.
René C L OlsthoornLeiden Institute of Chemistry, Leiden University, Leiden, The Netherlands.ORCID 0000-0003-0315-3005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Xrn1-resistant RNA structures are multifunctional elements employed by an increasing number of RNA viruses. One of such elements is the coremin motif, discovered in plant virus RNAs, of which the structure has been hypothesized to form a yet unelucidated pseudoknot. Recently, the coremin motif was shown to be capable of stalling not only Xrn1, but scanning ribosomes as well. Following that observation, in this study we demonstrate that the coremin motif can promote -1 ribosomal frameshifting, similar to better-characterized viral frameshifting pseudoknots. Since this function was lost in concert with substitutions that were known to disturb Xrn1-resistance, we developed a frameshifting screen for finding novel Xrn1-resistant RNAs by randomizing parts of the coremin motif. This yielded new insights into the coremin motif structure, as Xrn1-resistant variations were identified that more clearly indicate a pseudoknot interaction. In addition, we show that the Xrn1-resistant RNA of Zika virus promotes frameshifting as well, while known -1 programmed ribosomal frameshifting pseudoknots do not stall Xrn1, suggesting that promoting frameshifting is a universal characteristic of Xrn1-resistant RNAs, but that Xrn1-resistance requires more than just a frameshifting pseudoknot.

Indexed as

Zika VirusZika Virus InfectionBase SequenceFrameshifting, RibosomalHumansNucleic Acid ConformationRibosomesRNA, ViralRNA, Viralcoremin motifribosomal frameshiftingRNA pseudoknotXrn1Zika virus

Identifiers

PMID37400999
PMCPMC10321173

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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.