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
Affiliations
Van L.T. Hoang
Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia
Lisa N. Tom
Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia
Xiu-Cheng Quek
Garvan Institute of Medical Research, Sydney, New South Wales, Australia
Jean-Marie Tan
Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia
Elizabeth J. Payne
Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia
Lynlee L. Lin
Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia
Sudipta Sinnya
Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia
Anthony P. Raphael
Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia
Duncan Lambie
Department of Anatomical Pathology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
Ian H. Frazer
Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia
Marcel E. Dinger
Garvan Institute of Medical Research, Sydney, New South Wales, Australia
H. Peter Soyer
Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia
Tarl W. Prow
Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia
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.
