Published online Jun 26, 2024. doi: 10.4252/wjsc.v16.i6.656
Revised: January 23, 2024
Accepted: April 12, 2024
Published online: June 26, 2024
Processing time: 214 Days and 21.2 Hours
Validation 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 recom
To verify the most stable RG during osteogenic differentiation of human dental pulp stem cells (DPSCs) by RT-qPCR.
We cultivated DPSCs under two conditions: Undifferentiated and osteogenic dif
All 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.
For 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.
Core Tip: Detecting the best reference genes (RGs) under specific conditions is a good practice to improve the understanding of gene expression. Stem cells have been largely studied during commitment to particular cell lineages for many applications, such as tissue engineering. In this way, dental pulp stem cells (DPSCs) are promising for craniofacial reconstruction. For the first time, we show that the best pair of RGs for the osteogenic differentiation of human DPSCs are ribosomal protein, large, P0/TATA-binding protein by quantitative real-time polymerase chain reaction through the four algorithms (ΔCt comparative method, geNorm, BestKeeper, and NormFinder) and ranked by RefFinder.