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

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

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

Author(s) -

Van L.T. Hoang,

Lisa N. Tom,

Xiu-Cheng Quek,

Jean-Marie Tan,

Elizabeth Payne,

Lynlee L. Lin,

Sudipta Sinnya,

Anthony P. Raphael,

Duncan Lambie,

Ian H. Frazer,

Marcel E. Dinger,

H. Peter Soyer,

Tarl W. Prow

Publication year - 2017

Publication title -

peerj

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.927

H-Index - 70

ISSN - 2167-8359

DOI - 10.7717/peerj.3631

Subject(s) - transcriptome , rna seq , gene , biology , computational biology , reference genes , rna , gene expression , identification (biology) , ribosomal rna , skin cancer , genetics , cancer , botany

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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