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Updated: Jan 23, 2026

Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR
Published on: January 22, 2014
Selection of suitable reference genes for quantitive real-time PCR normalization in Miscanthus lutarioriparia
Teng Cheng1, Fenglin Zhu1, Jiajing Sheng1,2
1State Key Laboratory of Hybrid Rice, Hubei Lotus Engineering Center College of Life Sciences, Wuhan University, Wuhan, 430072, People's Republic of China.
This study identifies the most stable reference genes for gene expression analysis in Miscanthus lutarioriparia, a promising bioenergy crop. Eukaryotic translation initiation factor 4α-1 (eIF-4α) and Ubiquitin (UBQ) genes are recommended for accurate gene expression normalization.
Area of Science:
- Plant Biotechnology
- Bioenergy Crops
- Molecular Biology
Background:
- Miscanthus lutarioriparia, a widespread Chinese plant, is a highly potential bioenergy crop.
- Quantitative real-time PCR (RT-qPCR) is a crucial technique for measuring gene expression.
- Accurate gene expression analysis relies on the selection of stable reference genes for normalization.
Purpose of the Study:
- To evaluate the expression stability of ten candidate reference genes in Miscanthus lutarioriparia.
- To identify the most suitable reference genes for accurate gene expression normalization in this bioenergy crop.
Main Methods:
- Ten candidate reference genes were analyzed in 30 Miscanthus lutarioriparia samples.
- Gene expression stability was assessed using the geNorm and Normfinder statistical algorithms.
- Candidate genes included 25S rRNA, ACT1, CBP20, GAPDH, UBQ, eEF-1α, α-TUB, β-TUB, eIF-4α, and NAC.
Main Results:
- The eukaryotic translation initiation factor 4α-1 (eIF-4α) and Ubiquitin (UBQ) genes exhibited the highest expression stability.
- The carotenoid-binding protein 20 (CBP20) gene was found to be the least stable reference gene.
- Expression stability varied significantly among the ten candidate genes tested.
Conclusions:
- eIF-4α and UBQ are recommended as the most reliable reference genes for RT-qPCR in Miscanthus lutarioriparia.
- Using at least two validated reference genes is crucial for accurate gene expression data normalization.
- These findings provide a foundation for selecting reference genes in future studies on this energy crop.
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