Housekeeping Gene Stability in Human Mesenchymal Stem and Tendon Cells Exposed to Tenogenic Factors

管家基因 生物 间充质干细胞 基因表达 参考基因 细胞生物学 基因 遗传学
作者
Marco Viganò,Carlotta Perucca Orfei,Laura de Girolamo,J. R. A. Pearson,Enrico Ragni,Paola De Luca,Alessandra Colombini
出处
期刊:Tissue Engineering Part C-methods [Mary Ann Liebert, Inc.]
卷期号:24 (6): 360-367 被引量:21
标识
DOI:10.1089/ten.tec.2017.0518
摘要

The use of biochemical inducers of mesenchymal stem cell (MSC) differentiation into tenogenic lineage represents an investigated aspect of tendon disorder treatment. Bone morphogenetic protein 12 (BMP-12) is a widely studied factor, representing along with ascorbic acid (AA) and basic fibroblast growth factor (bFGF) one of the most promising stimulus in this context so far. Quantitative gene expression of specific tenogenic marker is commonly used to assess the efficacy of these supplements. Nevertheless, the reliability of these data is strongly associated with the choice of stable housekeeping genes. To date, no published studies have evaluated the stability of housekeeping genes in MSCs during tenogenic induction. Three candidate housekeeping genes (YWHAZ, RPL13A, and GAPDH) in human MSCs from bone marrow (BMSCs), adipose tissue (ASCs), and tendon cells (TCs) supplemented with BMP-12 or AA and bFGF in comparison with control untreated cells for 3 and 10 days were evaluated. GeNorm, NormFinder, and BestKeeper tools and the comparative ΔCt method were used to evaluate housekeeping gene stability and the overall ranking was determined by using by the RefFinder algorithm. In all culture conditions, YWHAZ was the most stable gene and RPL13A was the second choice. YWHAZ and RPL13A were the two most stable genes also for ASCs and BMSCs, regardless of the time point analyzed, and for TCs at 10 days of tenogenic induction. Only for TCs at 3 days of tenogenic induction were GAPDH and YWHAZ the best performers. In conclusion, our findings will be useful for the proper selection of housekeeping genes in studies involving MSCs cultured in the presence of tenogenic factors, to obtain accurate and high-quality data from quantitative gene expression analysis.
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