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, which 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 RGs. These genes will provide a valuable resource for the normalisation of qPCR data for the analysis of non-melanoma skin cancer.

Details

Title
RNA-seq reveals more consistent reference genes for gene expression studies in human non-melanoma skin cancers
Author
Hoang, Van LT; Tom, Lisa N; Xiu-Cheng Quek; Tan, Jean-Marie; Payne, Elizabeth J; Lin, Lynlee L; Sinnya, Sudipta; Raphael, Anthony P; Lambie, Duncan; Frazer, Ian H; Dinger, Marcel E; Soyer, H Peter; Prow, Tarl W
Publication year
2016
Publication date
Aug 2, 2016
Publisher
PeerJ, Inc.
e-ISSN
21679843
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.7287/peerj.preprints.2331v1
ProQuest document ID
1953818379
Copyright
© 2016 Hoang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.