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Best reference genes for unbiased normalized transcript expression in normal and dystrophic human cell models of
Raffaella Quarta1, Brigida Boccanegra1, Enrica Cristiano1
1Department of Pharmacy - Drug Sciences, University of Bari "Aldo Moro", Bari, Italy.
Plos One
|March 13, 2026
Summary
This study identifies stable reference genes for quantitative gene expression analysis in patient-derived muscle cell models. RPS18, UBC, and YWHAZ are recommended for normalizing RT-qPCR data in both healthy and dystrophic myogenic cell lines.
Area of Science:
- Biochemistry
- Molecular Biology
- Genetics
Background:
- Patient-derived cell models are crucial for studying muscle diseases like Duchenne muscular dystrophy (DMD).
- Accurate gene expression analysis using RT-qPCR requires reliable reference genes for normalization.
- Existing reference genes may not be suitable across different cell types or disease states.
Purpose of the Study:
- To identify and validate stably expressed reference genes for RT-qPCR in human myogenic cell lines.
- To ensure accurate gene expression normalization in both healthy and dystrophic muscle models.
- To support preclinical therapeutic assessments in muscular dystrophy research.
Main Methods:
- Screened 14 candidate reference genes in healthy and two DMD-derived immortalized muscle cell lines.
- Assessed gene expression stability throughout myogenic differentiation (proliferation to 11 days).
- Utilized four statistical algorithms (Bestkeeper, geNorm, Normfinder, DeltaCt) for comprehensive analysis.
Main Results:
- RPS18, UBC, and YWHAZ demonstrated high expression stability across all tested cell lines and differentiation stages.
- These genes proved reliable for normalization irrespective of myogenic cell line genotype or differentiation state.
- The identified panel provides a robust foundation for quantitative gene expression studies in DMD models.
Conclusions:
- RPS18, UBC, and YWHAZ are recommended as a validated reference gene panel for RT-qPCR in human myogenic cell lines.
- This finding facilitates accurate gene expression analysis in Duchenne muscular dystrophy research.
- The validated reference genes will enhance the reliability of preclinical therapeutic assessments using patient-derived models.
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