Pan-Cancer Analysis of TCGA Data Revealed Promising Reference Genes for qPCR Normalization.

ABSTRACT: Quantitative PCR (qPCR) remains the most widely used technique for gene expression evaluation. Obtaining reliable data using this method requires reference genes (RGs) with stable mRNA level under experimental conditions. This issue is especially crucial in cancer studies because each tumor has a unique molecular portrait. The Cancer Genome Atlas (TCGA) project provides RNA-Seq data for thousands of samples corresponding to dozens of cancers and presents the basis for assessment of the suitability of genes as reference ones for qPCR data normalization. Using TCGA RNA-Seq data and previously developed CrossHub tool, we evaluated mRNA level of 32 traditionally used RGs in 12 cancer types, including those of lung, breast, prostate, kidney, and colon. We developed an 11-component scoring syste

SUBMITTER: Krasnov GS 

PROVIDER: S-EPMC6406071 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature