ArticleMolecular biology reports2024
Comprehensive evaluation and validation of optimal reference genes for normalization of qPCR data in different caprine tissues.
Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Comprehensive analysis of circular RNA expression dynamics and competitive endogenous RNA network mechanisms during postnatal liver development in juvenile goats.Animal bioscience · 2026Article
- Genome-wide association study of copy number variation and early growth traits in inner Mongolian cashmere goats.Frontiers in veterinary science · 2025Article
- Molecular insights into Pashmina fiber production: comparative skin transcriptomic analysis of Changthangi goats and sheep.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundQuantitative 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.
methodsThis 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.
resultsAfter 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.
conclusionThe 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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