Suitable reference gene for silencing methods using microRNA encapsulated nanoparticles chitosan for the ovarian cancer cell line

Abstract

MicroRNAs (miRNAs) are key regulators of gene expression, and their accurate quantification is essential for elucidating miRNA functional roles. Quantitative reverse transcription PCR (qRT-PCR) is widely utilized for miRNA expression analyses, although appropriate data normalization is critical for generating reliable results. The present study aimed to identify a suitable reference gene for normalizing miRNA qRT-PCR data in the ovarian cancer cell line SKOV-3. SKOV-3 cells were treated with miRNA-loaded chitosan nanoparticles or left untreated as a control. Total RNA, including small RNAs, was extracted from SKOV-3 cells and assessed for quality. The expression stability of 15 candidate reference genes was evaluated by GeNorm analysis. miR-584-5p was identified as the most stably expressed reference gene. To validate miRNA profiling, miR-584-5p was used to normalize expression levels, revealing distinct patterns of differential miRNA expression. Our findings provide critical insights into aberrant miRNA expression in ovarian cancer cells and underscore proper normalization as essential for accurate quantification of miRNAs by qRT-PCR.