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

Van L.T. Hoang / Lisa N. Tom / Xiu-Cheng Quek / Jean-Marie Tan / Elizabeth J. Payne / Lynlee L. Lin / Sudipta Sinnya / Anthony P. Raphael / Duncan Lambie / Ian H. Frazer / Marcel E. Dinger / H. Peter Soyer / Tarl W. Prow

PeerJ, Vol 5, p e

2017  Volume 3631

Abstract: 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 ... ...

Abstract 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.
Keywords RNA-seq ; Reference gene ; qPCR ; Non-melanoma skin cancer ; Medicine ; R ; Biology (General) ; QH301-705.5
Language English
Publishing date 2017-08-01T00:00:00Z
Publisher PeerJ Inc.
Document type Article ; Online
Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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