Nina Franko (Author), Lucija Ana Vrščaj (Author), Taja Zore (Author), Barbara Ostanek (Author), Janja Marc (Author), Jasna Lojk (Author)

Abstract

RT-qPCR is the gold standard and the most commonly used method for measuring gene expression. Selection of appropriate reference gene(s) for normalization is a crucial part of RT-qPCR experimental design, which allows accurate quantification and reliability of the results. Because there is no universal reference gene and even commonly used housekeeping genes’ expression can vary under certain conditions, careful selection of an appropriate internal control must be performed for each cell type or tissue and experimental design. The aim of this study was to identify the most stable reference genes during osteogenic differentiation of the human osteosarcoma cell lines MG-63, HOS, and SaOS-2 using the geNorm, NormFinder, and BestKeeper statistical algorithms. Our results show that TBP, PPIA, YWHAZ, and EF1A1 are the most stably expressed genes, while ACTB, and 18S rRNA expressions are most variable. These data provide a basis for future RT-qPCR normalizations when studying gene expression during osteogenic differentiation, for example, in studies of osteoporosis and other bone diseases.

Keywords

geNorm;reference gene;NormFinder;BestKeeper;osteogenic differentiation;gene expression;osteosarcoma cell line;RT-qPCR;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FFA - Faculty of Pharmacy
UDC: 575.117:616-006.34
COBISS: 105244163 Link will open in a new window
ISSN: 1422-0067
Views: 1330
Downloads: 24
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Other data

Secondary language: Slovenian
Secondary keywords: referenčni gen;osteogena diferenciacija;izražanje genov;celična linija osteosarkoma;Gensko izražanje;Osteosarkom;
Type (COBISS): Article
Pages: str. 1-17
Volume: ǂVol. ǂ23
Issue: ǂno. ǂ8
Chronology: 2022
DOI: 10.3390/ijms23084257
ID: 15368050