Public transcriptome database-based selection and validation of reliable reference genes for breast cancer research.

ABSTRACT:

Background

Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is the most sensitive technique for evaluating gene expression levels. Choosing appropriate reference genes (RGs) is critical for normalizing and evaluating changes in the expression of target genes. However, uniform and reliable RGs for breast cancer research have not been identified, limiting the value of target gene expression studies. Here, we aimed to identify reliable and accurate RGs for breast cancer tissues and cell lines using the RNA-seq dataset.

Methods

First, we compiled the transcriptome profiling data from the TCGA database involving 1217 samples to identify novel RGs. Next, ten genes with relatively stable expression levels were chosen as novel candidate RGs, together with six c

SUBMITTER: Song Q 

PROVIDER: S-EPMC8665499 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature