Selection of internal references for transcriptomics and RT-qPCR assays in Neurofibromatosis type 1 (NF1) related Schwann cell lines

Abstract Transcriptomics has been widely applied in uncovering disease mechanisms and screening potential biomarkers. Internal reference selection determines the accuracy and reproducibility of data analyses. The aim of this study was to identify the most qualified reference genes for the relative q...

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Published inbioRxiv
Main Authors Yi-Hui, Gu, Xi-Wei, Cui, Jie-Yi, Ren, Man-Mei, Long, Wang, Wei, Cheng-Jiang, Wei, Aimaier, Rehanguli, Yue-Hua, Li, Man-Hon, Chung, Gu, Bin, Qing-Feng, Li, Zhi-Chao, Wang
Format Paper
LanguageEnglish
Published Cold Spring Harbor Cold Spring Harbor Laboratory Press 22.10.2020
Subjects
Gene expression
Glyceraldehyde-3-phosphate dehydrogenase
Neurofibromatosis
Quantitation
Recklinghausen's disease
Reproducibility
Tumor cell lines
Tumors
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Summary:Abstract Transcriptomics has been widely applied in uncovering disease mechanisms and screening potential biomarkers. Internal reference selection determines the accuracy and reproducibility of data analyses. The aim of this study was to identify the most qualified reference genes for the relative quantitation analysis of transcriptomics and real-time quantitative reverse-transcription PCR in fourteen NF1 related cell lines, including non-tumor, benign and malignant Schwann cell lines. The expression characteristics of eleven candidate reference genes (RPS18, ACTB, B2M, GAPDH, PPIA, HPRT1, TBP, UBC, RPLP0, TFRC and RPL32) were screened and analyzed by four software programs: geNorm, NormFinder, BestKeeper and RefFinder. Results showed that GAPDH, the most used internal reference gene, was significantly unstable. The combinational use of two reference genes (PPIA and TBP) was optimal in malignant Schwann cell lines and the use of single reference genes (PPIA or PRLP0) alone or in combination was optimal in benign Schwann cell lines. Our recommended internal reference genes may improve the accuracy and reproducibility of the results of transcriptomics and real-time quantitative reverse-transcription PCR in further gene expression analyses of NF1 related tumors.
DOI:10.1101/2020.10.22.350017