Related Experiment Video
Updated: Mar 20, 2026

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR
Published on: November 28, 2016
Reliable quantification of rhinovirus species C using real-time PCR
Chisha T Sikazwe1, Glenys R Chidlow2, Allison Imrie1
1School of Pathology and Laboratory Medicine, University of Western Australia, Perth, Australia; Department of Microbiology, PathWest Laboratory Medicine WA, Perth, Australia.
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.
More Related Videos
08:36Measuring Dengue Virus RNA in the Culture Supernatant of Infected Cells by Real-time Quantitative Polymerase Chain Reaction
Published on: November 1, 2018
04:43Author Spotlight: Optimizing Digital Droplet PCR Method for Accurate Adeno-Associated Viral Genome Quantification
Published on: October 11, 2024