Bioinformatics Prioritization of Ribosome-related Genes in the Oocyte Transcriptome of PCOS Patients
Presenter(s)
Vincent Griffith
Abstract
Polycystic ovary syndrome (PCOS) is a metabolic disease, and the most common anovulatory disorder of women in reproductive age. However, the molecular mechanism behind this disorder is still not fully understood. The aim of this study is to identify the transcriptomic changes in oocytes and granulosa cells that may contribute to altered folliculogenesis and poor oocyte maturation in patients with PCOS. This preliminary study utilized a bioinformatics approach using a previously published dataset (GSE155489). Gene expression analysis was performed on oocytes and granulosa cells of six age-matched patients (PCOS n=3; non-PCOS n=3). Significance threshold was set at the adjusted p-value (adj p) < 0.01 (Benjamini Hochberg FDR). Gene ontology AmiGO2 was used to define mitochondrial and nuclear-related genes, and this initial analysis focused only on nuclear-associated genes. Functional enrichment was performed with Reactome pathway database and DAVID functional annotation webtools. Protein-protein interaction (PPI) analysis and gene prioritization were performed using STRING database and Cytoscape network analysis. Gene expression profiling of PCOS-related oocytes and granulosa cells revealed enrichment of “nucleic acid metabolic process” (spliceosome and ribosome functions) in down-regulated genes of oocytes. Among the prioritized oocyte-associated genes, RPL7 and RPS6 have previously been shown to be important in mouse oocyte development. This analysis could help expand the understanding of human oocyte maturation and their potential functional impact in patients with PCOS. Future studies will include protein localization of RPL6 and RPL7 ovarian tissue, as well as analysis of mitochondrial-related genes.
CONCLUSIONS/WAY FORWARD: Reduced acquisition volumes targeted to identifying urolithiasis and obstructions, may permit reduced radiation exposure without accuracy compromise.
College
College of Science & Engineering
Department
Biology
Campus
Winona
First Advisor/Mentor
Claudia Preston
Location
Kryzsko Great River Ballroom, Winona, Minnesota; United States
Start Date
4-23-2026 1:00 PM
End Date
4-23-2026 2:00 PM
Presentation Type
Poster Session
Format of Presentation or Performance
In-Person
Session
2a=1pm-2pm
Poster Number
45
Bioinformatics Prioritization of Ribosome-related Genes in the Oocyte Transcriptome of PCOS Patients
Kryzsko Great River Ballroom, Winona, Minnesota; United States
Polycystic ovary syndrome (PCOS) is a metabolic disease, and the most common anovulatory disorder of women in reproductive age. However, the molecular mechanism behind this disorder is still not fully understood. The aim of this study is to identify the transcriptomic changes in oocytes and granulosa cells that may contribute to altered folliculogenesis and poor oocyte maturation in patients with PCOS. This preliminary study utilized a bioinformatics approach using a previously published dataset (GSE155489). Gene expression analysis was performed on oocytes and granulosa cells of six age-matched patients (PCOS n=3; non-PCOS n=3). Significance threshold was set at the adjusted p-value (adj p) < 0.01 (Benjamini Hochberg FDR). Gene ontology AmiGO2 was used to define mitochondrial and nuclear-related genes, and this initial analysis focused only on nuclear-associated genes. Functional enrichment was performed with Reactome pathway database and DAVID functional annotation webtools. Protein-protein interaction (PPI) analysis and gene prioritization were performed using STRING database and Cytoscape network analysis. Gene expression profiling of PCOS-related oocytes and granulosa cells revealed enrichment of “nucleic acid metabolic process” (spliceosome and ribosome functions) in down-regulated genes of oocytes. Among the prioritized oocyte-associated genes, RPL7 and RPS6 have previously been shown to be important in mouse oocyte development. This analysis could help expand the understanding of human oocyte maturation and their potential functional impact in patients with PCOS. Future studies will include protein localization of RPL6 and RPL7 ovarian tissue, as well as analysis of mitochondrial-related genes.
CONCLUSIONS/WAY FORWARD: Reduced acquisition volumes targeted to identifying urolithiasis and obstructions, may permit reduced radiation exposure without accuracy compromise.
