Perinatal tissues are an accessible source of mesenchymal stem/stromal cells (MSCs) with considerable research and therapeutic potential. Reliable evaluation of gene expressions in these cells requires appropriate normalization of the results. This process is based on reference genes whose expression should remain as stable as possible in the investigated cells and under the selected experimental conditions.
The aim of this master’s thesis was to identify the most suitable combination of six candidate reference genes for normalizing gene expression in undifferentiated primary human MSCs derived from the placenta and amniotic membrane. Total ribonucleic acid (RNA) was isolated from sixteen samples obtained from twelve participants, and its concentration and purity were determined. One sample was excluded from further analysis because of insufficient concentration. Candidate reference gene expression was measured using real-time quantitative polymerase chain reaction (qPCR). Measurement reliability was evaluated based on amplification efficiency and specificity as well as the reproducibility of technical replicates, while expression stability was assessed using the geNorm algorithm. The expression of all six candidate genes was measurable and showed good reproducibility. Five genes exhibited acceptable amplification efficiency, whereas the amplification efficiency of the gene encoding beta-glucuronidase (GUSB) was 80.3%. Consequently, GUSB was excluded from the subsequent expression stability analysis. The combination of the gene encoding glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and the gene encoding beta-actin (ACTB) was identified as the most stable pair. Pairwise variation analysis indicated that two reference genes were sufficient for reliable normalization.
Based on these results, the GAPDH–ACTB pair can be considered the most suitable combination among the five genes included in the final analysis and for the combined set of 15 placenta- and amniotic membrane-derived MSC samples. No conclusion regarding the expression stability of GUSB can be drawn from this analysis, and its qPCR assay should be optimized before the gene is reconsidered for inclusion. The selected pair should be validated in a larger and independent sample set before routine use.
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