Evidence map›Paper›PMID 22243942›Full record

ArticleMolecular plant pathology2012

The use of a combination of computer-assisted structure prediction and SHAPE probing to elucidate the secondary structures of five viroids.

Wenxing Xu, François Bolduc, Ni Hong, Jean-Pierre Perreault

Open access · bronzeAbstract read
In one paragraph

Article in Molecular plant pathology, 2012. 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
2.1field-weighted citation impact, top 11% 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, 25 citations in OpenAlex.

  1. Novel Viroid-Like RNAs Naturally Infect a Filamentous Fungus.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
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  14. RNA secondary structure prediction using high-throughput SHAPE.Journal of visualized experiments : JoVE · 2013
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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.

Wenxing XuCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China. xuwenxing@mail.hzau.edu.cn
François Bolduc
Ni Hong
Jean-Pierre Perreault
Université de Sherbrooke · CAHuazhong Agricultural University · CN

Funding

Canadian Institutes of Health Research PRG-80169
6 · The paper itself

Abstract

The elucidation of the structures of viroids, noncoding infectious RNA species, is paramount to obtain an understanding of the various aspects of their life cycles (including replication, transport and pathogenesis). In general, the secondary structures of viroids have been predicted using computer software programs which have been shown to possess several important limitations. Clearly, the predicted structure of a viroid needs to receive physical support prior to its use in the accurate interpretation of any mechanistic studies. Here, SHAPE probing coupled to computer-assisted structure prediction using the RNAstructure software program was employed to determine the structures of five viroids. These species belong to four genera of the Pospiviroidae family, and none have had their structure characterized in solution. In addition, several interesting questions were addressed by either studying various sequence variants or varying the SHAPE conditions. More importantly, this approach is novel in the study of viroids, and should be of significant aid in the determination of the structures of other RNA species.

Indexed as

Models, MolecularNucleic Acid ConformationBase SequenceMolecular Sequence DataPhylogenyPolymerase Chain ReactionReproducibility of ResultsRNA ProbesRNA, ViralSoftwareTemplates, GeneticViroidsRNA ProbesRNA, Viral

Identifiers

PMID22243942
PMCPMC6638829
OpenAlexW2142538804

What OpenQuestion holds

Textmetadata
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.