| Literature DB >> 30654913 |
Sean C Taylor1, Katia Nadeau2, Meysam Abbasi2, Claude Lachance2, Marie Nguyen3, Joshua Fenrich3.
Abstract
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.Entities:
Keywords: MIQE guidelines; RT-qPCR; data analysis; data normalization; experimental design; qPCR
Mesh:
Year: 2019 PMID: 30654913 DOI: 10.1016/j.tibtech.2018.12.002
Source DB: PubMed Journal: Trends Biotechnol ISSN: 0167-7799 Impact factor: 19.536