Identification of Optimal Reference Genes for qRT-PCR Normalization for Physical Activity Intervention and Omega-3 Fatty Acids Supplementation in Humans.
Agata GrzybkowskaKatarzyna AnczykowskaJędrzej AntosiewiczSzczepan OlszewskiMagdalena Dzitkowska-ZabielskaMaja TomczykPublished in: International journal of molecular sciences (2023)
The quantitative polymerase chain reaction (qRT-PCR) technique gives promising opportunities to detect and quantify RNA targets and is commonly used in many research fields. This study aimed to identify suitable reference genes for physical exercise and omega-3 fatty acids supplementation intervention. Forty healthy, physically active men were exposed to a 12-week eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) supplementation and standardized endurance training protocol. Blood samples were collected before and after the intervention and mRNA levels of six potential reference genes were tested in the leukocytes of 18 eligible participants using the qRT-PCR method: GAPDH (Glyceraldehyde-3-phosphate dehydrogenase), ACTB ( Beta actin ), TUBB ( Tubulin Beta Class I ), RPS18 ( Ribosomal Protein S18 ), UBE2D2 ( Ubiquitin-conjugating enzyme E2 D2 ), and HPRT1 ( Hypoxanthine Phosphoribosyltransferase 1 ). The raw quantification cycle (Cq) values were then analyzed using RefFinder, an online tool that incorporates four different algorithms: NormFinder, geNorm, BestKeeper, and the comparative delta-Ct method. Delta-Ct, NormFinder, BestKeeper, and RefFinder comprehensive ranking have found GAPDH to be the most stably expressed gene. geNorm has identified TUBB and HPRT as the most stable genes. All algorithms have found ACTB to be the least stably expressed gene. A combination of the three most stably expressed genes, namely GAPDH, TUBB, and HPRT, is suggested for obtaining the most reliable results.
Keyphrases
- genome wide
- genome wide identification
- fatty acid
- bioinformatics analysis
- randomized controlled trial
- genome wide analysis
- physical activity
- machine learning
- dna methylation
- image quality
- transcription factor
- binding protein
- magnetic resonance imaging
- skeletal muscle
- climate change
- clinical trial
- middle aged
- positron emission tomography
- magnetic resonance
- small molecule
- virtual reality
- human health