Transcriptome-Based Identification of the Optimal Reference CHO Genes for Normalisation of qPCR Data

Area of Science:

• Molecular Biology
• Biotechnology
• Cell Biology

Background:

• Quantitative PCR (qPCR) is essential for measuring mRNA levels.
• Accurate qPCR relies on stable internal control reference genes.
• Chinese hamster ovary (CHO) cells are widely used in biopharmaceutical production.

Purpose of the Study:

• To identify universally applicable reference genes for qPCR analysis in CHO cells.
• To ensure analytical accuracy and reliability in gene expression studies.
• To provide guidelines for selecting optimal reference gene pairs.

Main Methods:

• Analysis of transcriptomic datasets to identify candidate reference genes.
• Quantitative PCR (qPCR) to determine relative transcript abundance.
• Application of GeNorm, BestKeeper, and NormFinder algorithms for stability assessment.

Main Results:

• Identified four highly stable endogenous genes: Gnb1, Fkbp1a, Tmed2, and Mmadhc.
• Validated these genes as universally applicable reference genes across diverse experimental conditions.
• Demonstrated that specific gene combinations are optimal for discrete experimental settings.

Conclusions:

• Gnb1, Fkbp1a, Tmed2, and Mmadhc are validated universal reference genes for CHO cell mRNA analysis.
• Optimized primer sequences and selection guidelines facilitate streamlined and precise qPCR.
• The findings enhance the accuracy and reliability of gene expression studies in CHO cells.