Transcriptome-based selection and validation of optimal house-keeping genes for skin research in goats (Capra hircus).

ABSTRACT:

Background

In quantitative real-time polymerase chain reaction (qRT-PCR) experiments, accurate and reliable target gene expression results are dependent on optimal amplification of house-keeping genes (HKGs). RNA-seq technology offers a novel approach to detect new HKGs with improved stability. Goat (Capra hircus) is an economically important livestock species and plays an indispensable role in the world animal fiber and meat industry. Unfortunately, uniform and reliable HKGs for skin research have not been identified in goat. Therefore, this study seeks to identify a set of stable HKGs for the skin tissue of C. hircus using high-throughput sequencing technology.

Results

Based on the transcriptome dataset of 39 goat skin tissue samples, 8 genes (SRP68, NCBP3, RRAGA, EIF4H, C

SUBMITTER: Zhang J 

PROVIDER: S-EPMC7368715 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature