Selection of reference genes suitable for normalization of RT-qPCR data in glioma stem cells

被引:8
作者
Dang, Weiqi [1 ,2 ,3 ]
Zhang, Xiang [1 ,2 ,3 ]
Ma, Qinghua [1 ,2 ,3 ]
Chen, Lu [1 ,2 ,3 ]
Cao, Mianfu [1 ,2 ,3 ]
Miao, Jingya [1 ,2 ,3 ]
Cui, Youhong [1 ,2 ,3 ]
Zhang, Xia [1 ,2 ,3 ]
机构
[1] Army Med Univ, Mil Med Univ 3, Southwest Hosp, Inst Pathol, Chongqing 400038, Peoples R China
[2] Army Med Univ, Mil Med Univ 3, Southwest Hosp, Southwest Canc Ctr, Chongqing 400038, Peoples R China
[3] Minist Educ China, Key Lab Tumor Immunopathol, Chongqing 400038, Peoples R China
基金
中国国家自然科学基金;
关键词
glioma stem cells; quantitative real-time PCR; reference genes; stemness-related genes; tumor-initiating cells; REAL-TIME PCR; IDENTIFICATION; EXPRESSION;
D O I
10.2144/btn-2019-0098
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Considering the importance of gene expression studies for understanding the biology of glioma stem cells (GSCs), we aimed to identify the reliable reference genes in GSCs that were derived from the glioma cell lines T98G, LN229, 090116 and 091214. Quantitative real-time reverse-transcription PCR was employed using 11 reference genes identified through a PubMed literature search, and the assessment of stability through the geNorm, Normfinder and coefficient of variation methods was performed to select suitable reference genes. We found that HPRT1 and RPL13A were the most suitable reference genes, and validated the geometric mean of these genes to normalize the expression of stemness genes by GSCs. Therefore, it is necessary to select novel cell-specific reference genes with greater expression stability for gene expression studies in GSCs. METHOD SUMMARY We employed the geNorm, Normfinder and coefficient of variation methods to identify novel reference genes, with greater expression stability in glioma stem cells, for the study of gene expression.
引用
收藏
页码:130 / 137
页数:8
相关论文
共 31 条
[1]   Customized molecular phenotyping by quantitative gene expression and pattern recognition analysis [J].
Akilesh, S ;
Shaffer, DJ ;
Roopenian, D .
GENOME RESEARCH, 2003, 13 (07) :1719-1727
[2]   Normalization of real-time quantitative reverse transcription-PCR data: A model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets [J].
Andersen, CL ;
Jensen, JL ;
Orntoft, TF .
CANCER RESEARCH, 2004, 64 (15) :5245-5250
[3]   Glioma stem cells promote radioresistance by preferential activation of the DNA damage response [J].
Bao, Shideng ;
Wu, Qiulian ;
McLendon, Roger E. ;
Hao, Yueling ;
Shi, Qing ;
Hjelmeland, Anita B. ;
Dewhirst, Mark W. ;
Bigner, Darell D. ;
Rich, Jeremy N. .
NATURE, 2006, 444 (7120) :756-760
[4]   Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems [J].
Bustin, SA .
JOURNAL OF MOLECULAR ENDOCRINOLOGY, 2002, 29 (01) :23-39
[5]   The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments [J].
Bustin, Stephen A. ;
Benes, Vladimir ;
Garson, Jeremy A. ;
Hellemans, Jan ;
Huggett, Jim ;
Kubista, Mikael ;
Mueller, Reinhold ;
Nolan, Tania ;
Pfaffl, Michael W. ;
Shipley, Gregory L. ;
Vandesompele, Jo ;
Wittwer, Carl T. .
CLINICAL CHEMISTRY, 2009, 55 (04) :611-622
[6]   Accurate and objective copy number profiling using real-time quantitative PCR [J].
D'haene, Barbara ;
Vandesompele, Jo ;
Hellemans, Jan .
METHODS, 2010, 50 (04) :262-270
[7]   Reference genes for measuring mRNA expression [J].
Dundas, Jitesh ;
Ling, Maurice .
THEORY IN BIOSCIENCES, 2012, 131 (04) :215-223
[8]   Ribosomal 18S RNA prevails over glyceraldehyde-3-phosphate dehydrogenase and β-actin genes as internal standard for quantitative comparison of mRNA levels in invasive and noninvasive human melanoma cell subpopulations [J].
Goidin, D ;
Mamessier, A ;
Staquet, MJ ;
Schmitt, D ;
Berthier-Vergnes, O .
ANALYTICAL BIOCHEMISTRY, 2001, 295 (01) :17-21
[9]   Selection of suitable reference genes for expression analysis in human glioma using RT-qPCR [J].
Grube, Susanne ;
Goettig, Tatjana ;
Freitag, Diana ;
Ewald, Christian ;
Kalff, Rolf ;
Walter, Jan .
JOURNAL OF NEURO-ONCOLOGY, 2015, 123 (01) :35-42
[10]   ACTB in cancer [J].
Guo, Chunmei ;
Liu, Shuqing ;
Wang, Jiasheng ;
Sun, Ming-Zhong ;
Greenaway, Frederick T. .
CLINICA CHIMICA ACTA, 2013, 417 :39-44