Literature DB >> 28521492

Validation of reference genes for the normalization of RT-qPCR expression studies in human tongue carcinoma cell lines and tissue.

Xiaofeng Wang1, Xin Liu1, Cong Liu1, Ming Ren2, Sujie Gao3, Guanjie Zhao4, Tianfu Zhang1, Qiwei Yang2,5.   

Abstract

Reverse transcription quantitative polymerase chain reaction (RT-qPCR) has become a frequently used strategy in gene expression studies. The relative quantification method is an important and commonly used method for the evaluation of RT-qPCR data. The key aim of this method is to identify an applicable internal reference gene. However, there are currently no data concerning the expression of reference genes for gene analysis in human tongue carcinoma cell lines and tissues. In the present study, screening was performed using 12 common reference genes, which were selected in order to provide an experimental basis for the investigation of gene expression in human tongue carcinoma. Tca-8113 and CAL-27 cell lines and a total of 8 tongue carcinoma tissue samples were investigated. The gene expression stability and the applicability of the 12 reference gene candidates were determined using the geNorm, NormFinder and BestKeeper software programs. The results from the three software programs were demonstrated to be variable following comparison. The recommended combinations were 5'-aminolevulinate synthase 1 + glucuronidase β + ribosomal protein L29 (RPL29) for the cell line + tissue group, β-2-microglobulin + RPL29 for the cell line group and peptidylprolyl isomerase A + hydroxymethylbilane synthase + RPL29 for the tissue group. These recommended internal reference genes may improve the accuracy of relative quantitation analysis of target gene expression performed by the RT-qPCR method in further gene expression research on human tongue carcinoma.

Entities:  

Keywords:  human tongue carcinoma; reference gene; reverse transcription quantitative polymerase chain reaction

Year:  2017        PMID: 28521492      PMCID: PMC5431254          DOI: 10.3892/ol.2017.5887

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


  23 in total

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Journal:  Methods       Date:  2001-12       Impact factor: 3.608

2.  Guideline to reference gene selection for quantitative real-time PCR.

Authors:  Aleksandar Radonić; Stefanie Thulke; Ian M Mackay; Olfert Landt; Wolfgang Siegert; Andreas Nitsche
Journal:  Biochem Biophys Res Commun       Date:  2004-01-23       Impact factor: 3.575

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Journal:  J Mol Med (Berl)       Date:  2005-10-07       Impact factor: 4.599

4.  Systematic method for determining an ideal housekeeping gene for real-time PCR analysis.

Authors:  Viraj P Mane; Melissa A Heuer; Philippa Hillyer; Maria B Navarro; Ronald L Rabin
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5.  Reference genes for quantitative RT-PCR data in gastric tissues and cell lines.

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Journal:  World J Gastroenterol       Date:  2013-11-07       Impact factor: 5.742

6.  Selection of suitable reference genes for reverse transcription-quantitative polymerase chain reaction analysis of neuronal cells differentiated from bone mesenchymal stem cells.

Authors:  Yu-Xi He; Yan Zhang; Qiwei Yang; Chenguang Wang; Guanfang Su
Journal:  Mol Med Rep       Date:  2015-04-23       Impact factor: 2.952

7.  How to do successful gene expression analysis using real-time PCR.

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Journal:  Methods       Date:  2009-12-05       Impact factor: 3.608

8.  Validation of suitable reference genes for quantitative polymerase chain reaction analysis in rabbit bone marrow mesenchymal stem cell differentiation.

Authors:  Hecheng Ma; Qiwei Yang; Dongsong Li; Jianguo Liu
Journal:  Mol Med Rep       Date:  2015-05-12       Impact factor: 2.952

9.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

10.  Identification of appropriate reference genes for human mesenchymal stem cell analysis by quantitative real-time PCR.

Authors:  Xiuying Li; Qiwei Yang; Jinping Bai; Yali Xuan; Yimin Wang
Journal:  Biotechnol Lett       Date:  2014-09-02       Impact factor: 2.461

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  2 in total

1.  Development of a Bioinformatics Framework for Identification and Validation of Genomic Biomarkers and Key Immunopathology Processes and Controllers in Infectious and Non-infectious Severe Inflammatory Response Syndrome.

Authors:  Dong Ling Tong; Karen E Kempsell; Tamas Szakmany; Graham Ball
Journal:  Front Immunol       Date:  2020-03-31       Impact factor: 7.561

2.  Validation of Housekeeping Genes as Reference for Reverse-Transcription-qPCR Analysis in Busulfan-Injured Microvascular Endothelial Cells.

Authors:  Wen Ju; Alhaji Osman Smith; Tiantian Sun; Pingping Zhao; Yan Jiang; Lu Liu; Ting Zhang; Kunming Qi; Jianlin Qiao; Kailin Xu; Lingyu Zeng
Journal:  Biomed Res Int       Date:  2018-10-02       Impact factor: 3.411

  2 in total

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