ArticleIBRO neuroscience reports2026
Selection of appropriate reference genes in Apoe
Article in IBRO neuroscience reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
Background: Reverse transcription quantitative real-time polymerase chain reaction is the gold standard for gene expression quantification. Yet, this method's accuracy heavily depends on choosing appropriate reference genes for data normalization. Reference genes must display stable expression levels across biological and experimental conditions to ensure accurate and meaningful results. New method: To address this problem, expression stability of six frequently used reference genes: Results: Results demonstrated that reference genes were the least stable in the hypothalamus, and the comprehensive ranking of the reference genes differed between the cerebral cortex and the hypothalamus. Notably, Comparison with existing methods: Reference gene stability is often assessed using individual algorithms like ∆Ct, BestKeeper, NormFinder, or geNorm. These algorithms utilize mathematical models and assumptions Conclusion: These results underline the importance of validating gene stability under specific experimental conditions.
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