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Reliable reference genes for expression analysis of proliferating and adipogenically differentiating human adipose stromal cells
BACKGROUND: The proliferation and adipogenic differentiation of adipose stromal cells (ASCs) are complex processes comprising major phenotypical alterations driven by up- and downregulation of hundreds of genes. Quantitative RT-PCR can be employed to measure relative changes in the expression of a g...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6377720/ https://www.ncbi.nlm.nih.gov/pubmed/30815013 http://dx.doi.org/10.1186/s11658-019-0140-6 |
Sumario: | BACKGROUND: The proliferation and adipogenic differentiation of adipose stromal cells (ASCs) are complex processes comprising major phenotypical alterations driven by up- and downregulation of hundreds of genes. Quantitative RT-PCR can be employed to measure relative changes in the expression of a gene of interest. This approach requires constitutively expressed reference genes for normalization to counteract inter-sample variations due to differences in RNA quality and quantity. Thus, a careful validation of quantitative RT-PCR reference genes is needed to accurately measure fluctuations in the expression of genes. Here, we evaluated candidate reference genes applicable for quantitative RT-PCR analysis of gene expression during proliferation and adipogenesis of human ASCs with the immunophenotype DLK1(+)/CD34(+)/CD90(+)/CD105(+)/CD45(−)/CD31(−). METHODS: We evaluated the applicability of 10 candidate reference genes (GAPDH, TBP, RPS18, EF1A, TFRC, GUSB, PSMD5, CCNA2, LMNA and MRPL19) using NormFinder, geNorm and BestKeeper software. RESULTS: The results indicate that EF1A and MRPL19 are the most reliable reference genes for quantitative RT-PCR analysis of proliferating ASCs. PSMD5 serves as the most reliable endogenous control in adipogenesis. CCNA2 and LMNA were among the least consistent genes. CONCLUSIONS: Applying these findings for future gene expression analyses will help elucidate ASC biology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s11658-019-0140-6) contains supplementary material, which is available to authorized users. |
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