Abstract
Background
Quantitative real-time PCR (qPCR) is a highly reliable method for validating gene expression data in molecular studies due to its sensitivity, specificity, and efficiency. To ensure accurate qPCR results, it’s essential to normalize the expression data using stable reference genes.
Methods
This study aimed to identify suitable reference genes for qPCR studies in goats by evaluating 18 candidate reference genes (ACTB, BACH1, B2M, GAPDH, HMBS, HPRT1, PGK1, PPIA, PPIB, RPLP0, RPL19, RPS9, RPS15, RPS28, SDHA, TBP, UXT, and YWHAZ) in 10 different caprine tissues (heart, intestine, kidney, liver, lung, muscle, rumen, skin, spleen, and testis). An integrated tool called RefFinder, which incorporates various algorithms like NormFinder, GeNorm, BestKeeper, and ΔCt, was used to assess the stability of expression among these genes.
Results
After thorough analysis, ACTB, PPIB, and B2M emerged as the most stable reference genes, while RPL19, RPS15, and RPS9 were found to be the least stable. The suitability of the selected internal control genes was further validated through target gene analysis, confirming their efficacy in ensuring accurate gene expression profiling in goats.
Conclusion
The study determined that the geometric average of ACTB, PPIB, and B2M creates an appropriate normalization factor for gene expression studies in goat tissues.
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Data availability
No datasets were generated or analysed during the current study.
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This work was financially supported by the ICAR-Consortium Research Platform- Genomics.
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S.A.: conceptualization, generation of the manuscript. M.V.: data curation, formal analyses. V.C., M.M., and M.K.S.: resources. R.A. and R.S.: formal analyses. All authors reviewed the manuscript.
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This work was approved by the Institutional Animal Ethics Committee (IAEC) of ICAR-National Bureau of Animal Genetics Resources (F. No. NBAGR/IAEC/2017, dated 21.01.2017).
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Ahlawat, S., Vasu, M., Choudhary, V. et al. Comprehensive evaluation and validation of optimal reference genes for normalization of qPCR data in different caprine tissues. Mol Biol Rep 51, 268 (2024). https://doi.org/10.1007/s11033-024-09268-0
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DOI: https://doi.org/10.1007/s11033-024-09268-0