The Ultimate qPCR Experiment: Producing Publication Quality, Reproducible Data the First Time.

By Sean C. Taylor, K. Nadeau, Meysam Abbasi, C. Lachance, Marie Nguyen, Joshua Fenrich. Trends in Biotechnology, 2019

693 citations recorded by the source corpus.

Quantitative PCR (qPCR) is one of the most common techniques for quantification of nucleic acid molecules in biological and environmental samples. Although the methodology is perceived to be relatively simple, there are a number of steps and reagents that require optimization and validation to ensure reproducible data that accurately reflect the biological question(s) being posed. This review article describes and illustrates the critical pitfalls and sources of error in qPCR experiments, along with a rigorous, stepwise process to minimize variability, time, and cost in generating reproducible, publication quality data every time. Finally, an approach to make an informed choice between qPCR and digital PCR technologies is described.

Subfields: Information Systems, Information Systems and Management, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/598c2a7dcb6bb5f14f9067662a7dfaa9d2399d7a

Citations in the corpus

• First confirmed detection of SARS-CoV-2 in untreated wastewater in Australia: A proof of concept for the wastewater surveillance of COVID-19 in the community (2020, neutral): “When the concentration of the target gene, such as SARS-CoV-2 is low, subsampling error may also occur (Taylor et al., 2019).”