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

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 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.

SUBMITTER: Hoang VLT

PROVIDER: S-EPMC5572537 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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

Hoang Van L T VLT Tom Lisa N LN Quek Xiu-Cheng XC Tan Jean-Marie JM Payne Elizabeth J EJ Lin Lynlee L LL Sinnya Sudipta S Raphael Anthony P AP Lambie Duncan D Frazer Ian H IH Dinger Marcel E ME Soyer H Peter HP Prow Tarl W TW

PeerJ 20170821

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 qPC ...[more]

PMID: 28852586

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