RNA-seq reveals more consistent reference genes for gene expression studies in human non-melanoma skin cancers

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, iden...

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Published inPeerJ preprints
Main Authors Hoang, Van LT, Tom, Lisa N, Xiu-Cheng Quek, 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
Format Journal Article
LanguageEnglish
Published San Diego PeerJ, Inc 02.08.2016
Subjects
Data processing
Gene expression
Melanoma
Ribonucleic acid
Ribosomal proteins
RNA
Skin cancer
Skin diseases
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Summary: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, which 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 RGs. These genes will provide a valuable resource for the normalisation of qPCR data for the analysis of non-melanoma skin cancer.
ISSN:2167-9843
DOI:10.7287/peerj.preprints.2331v1