Bioinformatics-based analysis of potential therapeutic target genes for polycystic ovary syndrome

This study represents the first application of a bioinformatics approach to identify and confirm high expression levels of RPL13, LEP, and ANXA1 in patients with Polycystic Ovary Syndrome (PCOS). These key genes-RPL13, LEP, and ANXA1-may present viable targets for therapeutic interventions in PCOS, underscoring their potential clinical importance.PMID:38678611 | DOI:10.14715/cmb/2024.70.4.27
Source: Mol Biol Cell - Category: Molecular Biology Authors: Source Type: research