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

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...

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Autores principales: Dong, Xiaoming, Yang, Qiwei, Du, Zhenwu, Zhang, Guizhen, Shi, Chuankai, Qin, Xuyuan, Song, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780483/
https://www.ncbi.nlm.nih.gov/pubmed/36568365
http://dx.doi.org/10.3389/fgene.2022.989990
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author Dong, Xiaoming
Yang, Qiwei
Du, Zhenwu
Zhang, Guizhen
Shi, Chuankai
Qin, Xuyuan
Song, Yang
author_facet Dong, Xiaoming
Yang, Qiwei
Du, Zhenwu
Zhang, Guizhen
Shi, Chuankai
Qin, Xuyuan
Song, Yang
author_sort Dong, Xiaoming
collection PubMed
description 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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spelling pubmed-97804832022-12-24 Identification of optimal reference genes for gene expression normalization in human osteosarcoma cell lines under proliferative conditions Dong, Xiaoming Yang, Qiwei Du, Zhenwu Zhang, Guizhen Shi, Chuankai Qin, Xuyuan Song, Yang Front Genet Genetics 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. Frontiers Media S.A. 2022-12-09 /pmc/articles/PMC9780483/ /pubmed/36568365 http://dx.doi.org/10.3389/fgene.2022.989990 Text en Copyright © 2022 Dong, Yang, Du, Zhang, Shi, Qin and Song. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Dong, Xiaoming
Yang, Qiwei
Du, Zhenwu
Zhang, Guizhen
Shi, Chuankai
Qin, Xuyuan
Song, Yang
Identification of optimal reference genes for gene expression normalization in human osteosarcoma cell lines under proliferative conditions
title Identification of optimal reference genes for gene expression normalization in human osteosarcoma cell lines under proliferative conditions
title_full Identification of optimal reference genes for gene expression normalization in human osteosarcoma cell lines under proliferative conditions
title_fullStr Identification of optimal reference genes for gene expression normalization in human osteosarcoma cell lines under proliferative conditions
title_full_unstemmed Identification of optimal reference genes for gene expression normalization in human osteosarcoma cell lines under proliferative conditions
title_short Identification of optimal reference genes for gene expression normalization in human osteosarcoma cell lines under proliferative conditions
title_sort identification of optimal reference genes for gene expression normalization in human osteosarcoma cell lines under proliferative conditions
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780483/
https://www.ncbi.nlm.nih.gov/pubmed/36568365
http://dx.doi.org/10.3389/fgene.2022.989990
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