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Reliable quantification of rhinovirus species C using real-time PCR.

ABSTRACT: BACKGROUND:Rhinovirus C (RV-C) is an important respiratory pathogen of children, but little is known about its contribution to disease severity, though viral load appears to be important. Difficulty in RV-C cultivation and target sequence variation has precluded the development of a PCR based quantification method. OBJECTIVE:The aim of this study was to develop and validate reverse transcription quantitative PCR (RT-qPCR) assays for a broad range of circulating RV-C genotypes in nasopharyngeal aspirates (NPAs). STUDY DESIGN:Four assays were designed to quantify a 296bp region located within the 5' untranslated region (UTR) of RV-C types. These assays were based on in silico analysis of available RV-C sequences. Probes were designed to provide 100% homology to the corresponding RV-C genotypes. RESULTS:The linear dynamic range of each of the four assays spanned eight orders of magnitude (10(4)-10(11) copies/mL). The limit of detection for assays 1-4 was estimated to be 1147 copies/mL, 765 copies/mL, 1138 copies/mL and 1470 copies/mL respectively. Each assay demonstrated a strong linear relationship (r(2)=>0.995) and amplification efficiency greater than 95%. Repeatability and reproducibility of the method were shown to be high, with coefficients of variations lower than 8% and 15% respectively.

SUBMITTER: Sikazwe CT

PROVIDER: S-EPMC7172306 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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Reliable quantification of rhinovirus species C using real-time PCR.

Sikazwe Chisha T CT Chidlow Glenys R GR Imrie Allison A Smith David W DW

Journal of virological methods 20160520

<h4>Background</h4>Rhinovirus C (RV-C) is an important respiratory pathogen of children, but little is known about its contribution to disease severity, though viral load appears to be important. Difficulty in RV-C cultivation and target sequence variation has precluded the development of a PCR based quantification method.<h4>Objective</h4>The aim of this study was to develop and validate reverse transcription quantitative PCR (RT-qPCR) assays for a broad range of circulating RV-C genotypes in n ...[more]

PMID: 27216896

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Project description:BackgroundRT-qPCR is a preferred method for rapid and reliable quantification of gene expression studies. Appropriate application of RT-qPCR in such studies requires the use of reference gene(s) as an internal control to normalize mRNA levels between different samples for an exact comparison of gene expression level. However, recent studies have shown that no single reference gene is universal for all experiments. Thus, the identification of high quality reference gene(s) is of paramount importance for the interpretation of data generated by RT-qPCR. Only a few studies on reference genes have been done in plants and none in peach (Prunus persica L. Batsch). Therefore, the present study was conducted to identify suitable reference gene(s) for normalization of gene expression in peach.ResultsIn this work, eleven reference genes were investigated in different peach samples using RT-qPCR with SYBR green. These genes are: actin 2/7 (ACT), cyclophilin (CYP2), RNA polymerase II (RP II), phospholipase A2 (PLA2), ribosomal protein L13 (RPL13), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), 18S ribosomal RNA (18S rRNA), tubblin beta (TUB), tubblin alpha (TUA), translation elongation factor 2 (TEF2) and ubiquitin 10 (UBQ10). All eleven reference genes displayed a wide range of Cq values in all samples, indicating that they expressed variably. The stability of these genes except for RPL13 was determined by three different descriptive statistics, geNorm, NormFinder and BestKeeper, which produced highly comparable results.ConclusionOur study demonstrates that expression stability varied greatly between genes studied in peach. Based on the results from geNorm, NormFinder and BestKeeper analyses, for all the sample pools analyzed, TEF2, UBQ10 and RP II were found to be the most suitable reference genes with a very high statistical reliability, and TEF2 and RP II for the other sample series, while 18S rRNA, RPL13 and PLA2 were unsuitable as internal controls. GAPDH and ACT also performed poorly and were less stable in our analysis. To achieve accurate comparison of levels of gene expression, two or more reference genes must be used for data normalization. The combinations of TEF2/UBQ10/RP II and TEF2/RP II were suggested for use in all samples and subsets, respectively.

Dataset Information

Reliable quantification of rhinovirus species C using real-time PCR.

Publications

Reliable quantification of rhinovirus species C using real-time PCR.

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