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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.