Cited by 207Molecular Biology Techniques and ApplicationsCardiovascular and exercise physiologyGene expression and cancer classification

An overview of technical considerations when using quantitative real-time PCR analysis of gene expression in human exercise research

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Kuang, Jujiao, Yan, Xu, Genders, Amanda J., Granata, Cesare, Bishop, David J.·2018·PLOS ONE

Abstract

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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References 58 · Cited by 207

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  1. [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
Published
2018-05-10
Volume
13
Issue
5
Pages
e0196438
ISSN
1932-6203 (ISSN-L)
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
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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