An overview of technical considerations when using quantitative real-time PCR analysis of gene expression in human exercise research
Open accessAbstract
Gene expression analysis by quantitative PCR in skeletal muscle is routine in exercise studies. The reproducibility and reliability of the data fundamentally depend on how the experiments are performed and interpreted. Despite the popularity of the assay, there is a considerable variation in experimental protocols and data analyses from different laboratories, and there is a lack of consistency of proper quality control steps throughout the assay. In this study, we present a number of experiments on various steps of quantitative PCR workflow, and demonstrate how to perform a quantitative PCR experiment with human skeletal muscle samples in an exercise study. We also tested some common mistakes in performing qPCR. Interestingly, we found that mishandling of muscle for a short time span (10 mins) before RNA extraction did not affect RNA quality, and isolated total RNA was preserved for up to one week at room temperature. Demonstrated by our data, use of unstable reference genes lead to substantial differences in the final results. Alternatively, cDNA content can be used for data normalisation; however, complete removal of RNA from cDNA samples is essential for obtaining accurate cDNA content.
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Target gene expression was normalized to the geometric mean of expression of the three most stably expressed reference genes using the 2−ΔΔCt method.
“The expression of each target gene was normalized to the geometric mean of expression of the three most stably expressed reference genes (as previously described) [46] using the 2−ΔΔCt method”
From Exercise mitigates sleep-loss-induced changes in glucose tolerance, mitochondrial function, sarcoplasmic protein synthesis, and diurnal rhythms (2021) · cites this paper as [46]
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References 58 · Cited by 207
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- [29]Biosystems A. User Bulletin #2: ABI PRISM 7700 Sequence Detection System. 2001.
- Authors
- Kuang, J., Yan, X., Genders, A. J., Granata, C., & Bishop, D. J.
- Affiliations
- Victoria University (AU)
- Monash University (AU)
- Edith Cowan University (AU)
- Corresponding author
- Bishop, David J.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2018-05-10
- Volume
- 13
- Issue
- 5
- Pages
- e0196438
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC5944930
- OpenAlex
- W2800436528
- Cited by
- 207
- References
- 58
- Citations by year
- 2026: 13 · 2025: 26 · 2024: 29 · 2023: 17 · 2022: 35 · 2021: 28 · 2020: 41 · 2019: 17 · 2018: 1
- FWCI
- 7.70
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Monash University Research Portal (Monash University) (acceptedVersion, cc-by)
- Victoria University Research Repository (Victoria University) (submittedVersion, cc-by)
- Australasian Journal of Paramedicine (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Keywords
- quantitative real-time PCR, gene expression, human skeletal muscle, physical activity, reference genes, RNA quality, RNA storage, sample handling, assay reproducibility
- MeSH terms
- Humans, Quality Control, Research, RNA, Reproducibility of Results, Exercise, Gene Expression, DNA, Complementary, Muscle, Skeletal, Gene Expression Profiling, Transcriptome, Real-Time Polymerase Chain Reaction
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