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

PeerJ

article

Van L.T. Hoang¹  Lisa N. Tom¹  Xiu-Cheng Quek²  Jean-Marie Tan¹  Elizabeth J. Payne¹  Lynlee L. Lin¹  Sudipta Sinnya¹  Anthony P. Raphael¹  Duncan Lambie⁵  Ian H. Frazer⁶  Marcel E. Dinger²  H. Peter Soyer¹  Tarl W. Prow¹ 

[1] Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland;Garvan Institute of Medical Research;St Vincent’s Clinical School, University of New South Wales;Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital;Department of Anatomical Pathology, Princess Alexandra Hospital;Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland;Biomaterials Engineering and Nanomedicine Strand, Future Industries Institute, University of South Australia

关键词: RNA-seq;    Reference gene;    qPCR;    Non-melanoma skin cancer;   

DOI  :  10.7717/peerj.3631

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

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.

【 授权许可】

CC BY