Identification of optimal reference genes for gene expression normalization in human osteosarcoma cell lines under proliferative conditions

被引:4
|
作者
Dong, Xiaoming [1 ]
Yang, Qiwei [1 ]
Du, Zhenwu [1 ]
Zhang, Guizhen [1 ,2 ]
Shi, Chuankai [1 ]
Qin, Xuyuan [2 ]
Song, Yang [1 ]
机构
[1] Second Hosp Jilin Univ, Med Ctr Orthopaed, Changchun, Peoples R China
[2] Changchun Tumor Hosp, Gene Testing Ctr, Changchun, Peoples R China
基金
美国国家科学基金会;
关键词
reverse transcription quantitative polymerase chain reaction; reference gene; human osteosarcoma; normalization; gene expression; POLYMERASE-CHAIN-REACTION; SUITABLE REFERENCE GENES; RT-QPCR EXPRESSION; HOUSEKEEPING GENES; WILD-TYPE; VALIDATION; TRANSCRIPTION; PCR; SELECTION; PROMOTER;
D O I
10.3389/fgene.2022.989990
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The molecular pathogenesis and therapeutic target research studies on osteosarcoma (OS) have developed well during the last few years using various OS cell lines with reverse transcription quantitative polymerase chain reaction (RT-qPCR). However, the identification of suitable reference genes of RT-qPCR for OS cell lines has not been reported. Here, we conducted the normalization research of 12 reference genes (GAPDH, ACTB, 18S, B2M, ALAS1, GUSB, HPRT1, HMBS, PPIA, PUM1, RPL29, and TBP) for gene expression analysis in four kinds of human OS cell lines (U2OS, Saos-2, HOS, and MG-63) to improve the investigation of molecular mechanisms and the accuracy of diagnosis and prognostic molecular targets of OS. The gene expression stability and applicability of the 12 reference gene candidates were determined using geNorm, NormFinder, and BestKeeper software. The results indicated that PUM1 and the combination of PPIA + ALAS1 were recommended as the optimal reference gene in these four different sources of human OS cell lines under proliferative conditions. The present study identified the most suitable reference genes and reference gene combinations for OS cell lines under proliferative conditions in order to use in gene expression profile analysis. A reliable standardized method has the potential to improve the understanding of the biological mechanisms underlying OS in the future.
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页数:9
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