Evidence map›Paper›PMID 40063803›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Identifying the interactions conferring functional mechanical rigidity on RNase-resistant RNA from Zika virus.

Daniiar Zhaguparov, Meng Zhao, Rohith Vedhthaanth Sekar, Michael T Woodside

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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.

Daniiar ZhaguparovDepartment of Physics, University of Alberta, Edmonton, AB T6G2E1, Canada.ORCID 0009-0005-6121-3012
Meng ZhaoDepartment of Physics, University of Alberta, Edmonton, AB T6G2E1, Canada.
Rohith Vedhthaanth SekarDepartment of Physics, University of Alberta, Edmonton, AB T6G2E1, Canada.ORCID 0000-0003-3581-8016
Michael T WoodsideDepartment of Physics, University of Alberta, Edmonton, AB T6G2E1, Canada.ORCID 0000-0003-4695-0397

Funding

Canadian Government | Canadian Institutes of Health Research (CIHR) PJT-183591Canadian Government | National Research Council Canada (NRC) N/A
6 · The paper itself

Abstract

Some viruses counter host-cell efforts to digest invading viral RNA by using special structures resistant to host RNases, known as exoribonuclease-resistant RNAs (xrRNAs). xrRNAs typically form an unusual fold with the 5'-end threaded through a ring consisting of a multihelix junction closed by a pseudoknot. By using single-molecule force spectroscopy (SMFS), we previously showed that a Zika virus xrRNA is extremely rigid mechanically, withstanding very high forces, and that this mechanical resistance-not simply the knot-like fold topology-is essential for RNase resistance. Here, we have determined which interactions are most important for generating mechanical rigidity in the Zika virus xrRNA, by systematically mutating tertiary contacts. We found that removing any of the tertiary contacts involving the threaded 5' end was sufficient to abrogate mechanical resistance. In contrast, breaking a single pseudoknot base pair was not sufficient to do so: Two broken pairs were needed. This hierarchy of interaction importance for mechanical rigidity was supported by simulations mapping how mechanical tension was distributed within the xrRNA. For all mutants, RNase resistance varied in lock-step with mechanical resistance, confirming the primary role of mechanical rigidity in xrRNA function. This work reveals which interactions are most important for Zika xrRNA function, with implications for targeting the xrRNA therapeutically.

Indexed as

RibonucleasesRNA, ViralZika VirusNucleic Acid ConformationZika Virus InfectionRibonucleasesRNA, Viralnoncoding RNARNase resistancesingle-molecule force spectroscopyZika virus

Identifiers

PMID40063803
PMCPMC11929477

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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.