scholarly journals Peer Review #1 of "RNA-seq reveals more consistent reference genes for gene expression studies in human non-melanoma skin cancers (v0.1)"

2017 ◽  
Author(s):  
B Davis-Dusenbery
Keyword(s):  
Gene Expression ◽  
Peer Review ◽  
Reference Genes ◽  
Rna Seq ◽  
Skin Cancers ◽  
Expression Studies ◽  
Gene Expression Studies ◽  
Melanoma Skin

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

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3631 ◽  
Author(s):  
Van L.T. Hoang ◽  
Lisa N. Tom ◽  
Xiu-Cheng Quek ◽  
Jean-Marie Tan ◽  
Elizabeth J. Payne ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Reference Genes ◽  
Ribosomal Proteins ◽  
Data Interpretation ◽  
Rna Seq ◽  
Non Melanoma Skin Cancer ◽  
Skin Cancers ◽  
Genes Encoding ◽  
Gene Expression Studies ◽  
Melanoma Skin

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.

scholarly journals Using RNA-Seq Data to Evaluate Reference Genes Suitable for Gene Expression Studies in Soybean

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0136343 ◽  
Author(s):  
Aldrin Kay-Yuen Yim ◽  
Johanna Wing-Hang Wong ◽  
Yee-Shan Ku ◽  
Hao Qin ◽  
Ting-Fung Chan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Reference Genes ◽  
Rna Seq ◽  
Expression Studies ◽  
Gene Expression Studies

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

2016 ◽  
Author(s):  
Van LT Hoang ◽  
Lisa N Tom ◽  
Xiu-Cheng Quek ◽  
Jean-Marie Tan ◽  
Elizabeth J Payne ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Reference Genes ◽  
Ribosomal Proteins ◽  
Data Interpretation ◽  
Rna Seq ◽  
Non Melanoma Skin Cancer ◽  
Skin Cancers ◽  
Genes Encoding ◽  
Gene Expression Studies ◽  
Melanoma Skin

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.

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