ArticleMolecular biotechnology2011
Improvement of HRV quantification using cRNA-based standards for real time RT-PCR.
Article in Molecular biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- Development of a Tetraplex qPCR for the Molecular Identification and Quantification of Human Enteric Viruses, NoV and HAV, in Fish Samples.Microorganisms · 2021Article
- Standardized one-step real-time reverse transcription-PCR assay for universal detection and quantification of hepatitis delta virus from clinical samples in the presence of a heterologous internal-control RNA.Journal of clinical microbiology · 2012Article
- Design and Application of Nucleic Acid Standards for Quantitative Detection of Enteric Viruses by Real-Time PCR.Food and environmental virology · 2011Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Real Time RT-PCR developed in recent years represents an useful tool in the diagnosis of RNA viruses. In order to accurately quantify and normalize a RNA target, efficiency of reverse-transcription must be considered. In this study, a cRNA-standard-based quantitative Real Time RT-PCR have been developed for HRV quantification on bronchoalveolar lavage (BAL) specimens. Results has been compared to a quantitative plasmid standard-based Real Time RT-PCR previously developed by us. Large amount of pHRV was linearized and purified. Blunt ends were generated and cRNA production was carried out. Dilutions of cRNA were generated and dynamic range, intra- and inter-test variability, sensitivity, and limit of detection were evaluated. Sixty-seven BAL, previously resulted positive to our plasmid standard-based method, were evaluated using cRNA-standard quantification. cRNA curve showed a broad dynamic range with a good intra- and inter-test variability, with an average of 3.23 threshold cycles more in comparison to plasmid standard-based curve. In terms of specimen quantification, a difference of 1.07 log was found, showing a significant underrate using plasmid standard-based quantification. The method for cRNA-standard construction seems more suitable for quantification of RNA viruses, in order to normalize the quantification in reverse-transcription.
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Registered trials
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