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Selection of appropriate reference genes in Apoe-/- mouse brain
Naz Mengi Camur1,2, Busranur Seker2,3, Fulya Kizildag2,3
1Department of Biological Sciences, Middle East Technical University, Cankaya, Ankara 06800, Türkiye.
IBRO Neuroscience Reports
|May 7, 2026
Summary
Selecting stable reference genes is crucial for accurate gene expression analysis using quantitative real-time polymerase chain reaction. This study found that reference gene stability varies significantly across mouse brain regions, genotypes, and diets, highlighting the need for specific validation.
Area of Science:
- Neuroscience
- Molecular Biology
- Genetics
Background:
- Quantitative real-time polymerase chain reaction (RT-qPCR) is a standard for gene expression analysis.
- Accurate gene expression quantification relies on selecting stable reference genes for normalization.
- Reference genes must exhibit consistent expression across diverse biological and experimental conditions.
Purpose of the Study:
- To evaluate the expression stability of six common reference genes.
- To identify the most stable reference genes for normalization in specific mouse brain regions, genotypes, and diets.
- To compare the performance of different algorithms for reference gene stability assessment.
Main Methods:
- Expression stability of *Actb*, *Gapdh*, *Rpl13a*, *Rplp0*, *Hprt1*, and *Ywhaz* was assessed in mouse cerebral cortex, hippocampus, and hypothalamus.
- Mice included C57BL/6 and Apoe⁻/⁻ genotypes fed either a chow or Western diet.
- RefFinder, integrating ∆Ct, BestKeeper, NormFinder, and geNorm algorithms, was used for comprehensive stability analysis.
Main Results:
- Reference gene stability varied significantly across brain regions, genotypes, and diets.
- The hypothalamus exhibited the least stable reference gene expression.
- Specific genes like *Hprt1* (cerebral cortex) and *Actb* (hypothalamus) showed significant diet and genotype-dependent expression changes.
Conclusions:
- Reference gene stability is condition-dependent and requires validation for specific experimental settings.
- A comprehensive approach using RefFinder provides a more robust evaluation of reference gene stability.
- Accurate gene expression normalization necessitates careful selection of validated reference genes.

