RNA-seq reveals more consistent reference genes for gene expression studies in human non-melanoma skin cancers
- Hoang, Van L. T.
- Tom, Lisa N.
- Quek, Xiu-Cheng
- Tan, Jean-Marie
- Payne, Elizabeth J.
- Lin, Lynlee L.
- Sinnya, Sudipta
- Raphael, Anthony P.
- Lambie, Duncan
- Frazer, Ian H.
- Dinger, Marcel E.
- Soyer, H. Peter
- Prow, Tarl W.
Publication date
August 2017
DOI Publisher
PeerJ ISSN
2167-8359 Citation count (estimate)
1Abstract
Identification of appropriate reference genes (RGs) is critical to accurate data interpretation in quantitative real-time PCR (qPCR) experiments. In this study, we have utilised next generation RNA sequencing (RNA-seq) to analyse the transcriptome of a panel of non-melanoma skin cancer lesions, identifying genes that are consistently expressed across all samples. Genes encoding ribosomal proteins were amongst the most stable in this dataset. Validation of this RNA-seq data was examined using qPCR to confirm the suitability of a set of highly stable genes for use as qPCR RGs. These genes will provide a valuable resource for the normalisation of qPCR data for the analysis of non-melanoma skin cancer
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