Affiliation:
1. Nara Medical University
2. Higashiosaka City Medical Center
Abstract
Abstract
Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) is an essential tool for gene expression analysis; however, choosing appropriate reference genes for normalization is crucial to ensure data reliability. Most studies on osteogenic differentiation have had limited success in identifying optimal reference genes; to the best of our knowledge, no optimal reference genes in three-dimensional (3D) osteogenic differentiation culture experiments using human induced pluripotent stem cells (hiPSCs) have been identified. In this study, we aimed to identify stable reference genes that could be used for normalization in gene expression analyses during the 3D osteogenic differentiation of hiPSCs using an atelocollagen sponge as the scaffold. Four algorithms—ΔCt, BestKeeper, NormFinder, and geNorm—were used to evaluate the stability of 14 candidate reference genes. TATA box-binding protein, hypoxanthine phosphoribosyltransferase 1, and 14-3-3 protein zeta polypeptide emerged as the most stable reference genes. In comparison, conventionally used reference genes (beta-2 microglobulin and beta-actin) ranked among those with low stability. We also demonstrated the successful 3D osteogenic differentiation of hiPSCs on the atelocollagen sponge. Our findings provide valuable insights into reference gene selection and bone tissue regeneration from hiPSCs, which will improve the treatment prospects for bone defects and other similar conditions in regenerative medicine.
Publisher
Research Square Platform LLC