Evidence map›Paper›PMID 19847293›Full record

ArticlePloS one2009

Accurate strand-specific quantification of viral RNA.

Nicole E Plaskon, Zach N Adelman, Kevin M Myles

Abstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
  2. Article
  3. Antagonism of RNA silencing in the yellow fever mosquito,Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Crosstalk between CD64EMBO molecular medicine · 2024
    Article
  10. Article
  11. RNA interference is essential to modulating the pathogenesis of mosquito-borne viruses in the yellow fever mosquitoProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
  13. Article
  14. Detection methods targeting the positive- and negative-sense RNA transcripts from plus-stranded RNA viruses.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2022
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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

3 authors.

Nicole E PlaskonFralin Life Science Institute, Department of Entomology, Virginia Tech, Blacksburg, Virginia, United States of America.
Zach N Adelman
Kevin M Myles

Funding

Modulation of arboviruses in mosquitoesR01AI077726 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MYLES, KEVIN M · 2008 to 2012
$1.9M
NIAID NIH HHS AI077726NIAID NIH HHS R01 AI077726
6 · The paper itself

Abstract

The presence of full-length complements of viral genomic RNA is a hallmark of RNA virus replication within an infected cell. As such, methods for detecting and measuring specific strands of viral RNA in infected cells and tissues are important in the study of RNA viruses. Strand-specific quantitative real-time PCR (ssqPCR) assays are increasingly being used for this purpose, but the accuracy of these assays depends on the assumption that the amount of cDNA measured during the quantitative PCR (qPCR) step accurately reflects amounts of a specific viral RNA strand present in the RT reaction. To specifically test this assumption, we developed multiple ssqPCR assays for the positive-strand RNA virus o'nyong-nyong (ONNV) that were based upon the most prevalent ssqPCR assay design types in the literature. We then compared various parameters of the ONNV-specific assays. We found that an assay employing standard unmodified virus-specific primers failed to discern the difference between cDNAs generated from virus specific primers and those generated through false priming. Further, we were unable to accurately measure levels of ONNV (-) strand RNA with this assay when higher levels of cDNA generated from the (+) strand were present. Taken together, these results suggest that assays of this type do not accurately quantify levels of the anti-genomic strand present during RNA virus infectious cycles. However, an assay permitting the use of a tag-specific primer was able to distinguish cDNAs transcribed from ONNV (-) strand RNA from other cDNAs present, thus allowing accurate quantification of the anti-genomic strand. We also report the sensitivities of two different detection strategies and chemistries, SYBR(R) Green and DNA hydrolysis probes, used with our tagged ONNV-specific ssqPCR assays. Finally, we describe development, design and validation of ssqPCR assays for chikungunya virus (CHIKV), the recent cause of large outbreaks of disease in the Indian Ocean region.

Indexed as

Genetic TechniquesMicrobiological TechniquesBenzothiazolesChikungunya virusColoring AgentsDiaminesDisease OutbreaksDNADNA, ComplementaryHumansHydrolysisIndian OceanOrganic ChemicalsPolymerase Chain ReactionQuinolinesReproducibility of ResultsBenzothiazolesColoring AgentsDiaminesDNADNA, ComplementaryOrganic ChemicalsQuinolinesRNA, ViralSYBR Green I

Identifiers

PMID19847293
PMCPMC2760750

What OpenQuestion holds

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LicenceCC BY
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.