PeerJ (Aug 2017)

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

DOI
https://doi.org/10.7717/peerj.3631
Journal volume & issue
Vol. 5
p. e3631

Abstract

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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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