ArticleWorld journal of stem cells2024
RPLP0/TBP are the most stable reference genes for human dental pulp stem cells under osteogenic differentiation.
Article in World journal of stem cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A Modular Bioinstructive Platform Reveals Mechanistic Insights into Additive-Free, Topography-Driven Osteogenesis.Advanced healthcare materials · 2026Article
- A biomimetic and xeno-free platform for corneal engineering: synergy between PRGF technology and human dental pulp stem cells.Frontiers in bioengineering and biotechnology · 2026Article
- A dual-action humanized DKK-1 antibody that activates the Wnt/β-catenin signaling pathway and inhibits the RANKL signaling pathway for osteoporosis therapy.Frontiers in immunology · 2026Article
- Modulation of neuronal α1-adrenergic receptor reduces tauopathy and neuroinflammation by inhibiting the STING/NF-κB/NLRP3 signaling pathway in Alzheimer's disease mice.Journal of neuroinflammation · 2025Article
- Selection and Validation of Reference Genes for RT-qPCR in Protonemal Tissue of the Desiccation-Tolerant MossPlants (Basel, Switzerland) · 2025Article
- Bioengineering breakthroughs: The impact of stem cell models on advanced therapy medicinal product development.World journal of stem cells · 2024Review
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Abstract
backgroundValidation of the reference gene (RG) stability during experimental analyses is essential for correct quantitative real-time polymerase chain reaction (RT-qPCR) data normalisation. Commonly, in an unreliable way, several studies use genes involved in essential cellular functions [glyceraldehyde-3-phosphate dehydrogenase (GAPDH), 18S rRNA, and β-actin] without paying attention to whether they are suitable for such experimental conditions or the reason for choosing such genes. Furthermore, such studies use only one gene when Minimum Information for Publication of Quantitative Real-Time PCR Experiments guidelines recommend two or more genes. It impacts the credibility of these studies and causes distortions in the gene expression findings. For tissue engineering, the accuracy of gene expression drives the best experimental or therapeutical approaches.
aimTo verify the most stable RG during osteogenic differentiation of human dental pulp stem cells (DPSCs) by RT-qPCR.
methodsWe cultivated DPSCs under two conditions: Undifferentiated and osteogenic differentiation, both for 35 d. We evaluated the gene expression of 10 candidates for RGs [ribosomal protein, large, P0 (
resultsAll of the data sets from clonogenic and osteogenic samples were analysed using the RefFinder algorithm. The final ranking showed RPLP0/TBP as the two most stable RGs and TUB/B2M as the two least stable RGs. Either the ΔCt method or NormFinder analysis showed TBP/RPLP0 as the two most stable genes. However, geNorm analysis showed RPLP0/EF1α in the first place. These algorithms' two least stable RGs were B2M/GAPDH. For BestKeeper, ALAS1 was ranked as the most stable RG, and SDHA as the least stable RG. The pair RPLP0/TBP was detected in most subgroups as the most stable RGs, following the RefFinfer ranking.
conclusionFor the first time, we show that RPLP0/TBP are the most stable RGs, whereas TUB/B2M are unstable RGs for long-term osteogenic differentiation of human DPSCs in traditional monolayers.
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