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Background <p>This study aimed to analyze differentially expressed genes in theca cells of polycystic ovary syndrome (PCOS) rats using transcriptomic sequencing. Bioinformatics analysis and PCR validation were performed to identify genes involved in follicular development regulation in PCOS.</p> Methods <p>Twenty 6-week-old female SD rats with regular estrous cycles were divided into two groups (PCOS and control, <i>n</i> = 10 each). The PCOS model was induced with a 1.0&#xa0;mg·kg⁻¹ Letrozole solution. Theca cells were collected for transcriptomic sequencing, and differentially expressed genes were analyzed. Functional annotations and pathway enrichment were determined using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Gene interaction network and hub gene analyses were conducted, followed by RT-qPCR validation.</p> Results <p>PCOS rats exhibited increased body weight and irregular estrous cycles. A total of 1,114 differentially expressed genes were identified, including 516 upregulated and 598 downregulated genes. Fifty hub genes were selected for further analysis. GO and KEGG pathway enrichment analysis revealed significant involvement of the MAPK and PI3K-Akt signaling pathways. PCR validation confirmed that <i>Cyp17a1</i>, <i>Cyp11a1</i>, <i>S6k1</i>, <i>mTOR</i>, <i>Akt</i>, <i>Kit</i>, and <i>Tek</i> were significantly upregulated in the PCOS group (<i>P</i> &lt; 0.05).</p> Conclusion <p>Transcriptomic analysis identified key genes and pathways involved in follicular development dysregulation in PCOS rats, providing potential targets for further research.</p>

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Transcriptomic analysis of theca cells in a PCOS rat model: insights into follicular development

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月21日

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  • Chen Yuanyuan,
  • Sun Ningyu,
  • Lu Lu,
  • Zhang Wuwen,
  • Li Kai,
  • Li Yanting,
  • He Junlan,
  • Cheng Xiang,
  • Zhou Jing,
  • Yan Hua,
  • Yin Ping

摘要

Background

This study aimed to analyze differentially expressed genes in theca cells of polycystic ovary syndrome (PCOS) rats using transcriptomic sequencing. Bioinformatics analysis and PCR validation were performed to identify genes involved in follicular development regulation in PCOS.

Methods

Twenty 6-week-old female SD rats with regular estrous cycles were divided into two groups (PCOS and control, n = 10 each). The PCOS model was induced with a 1.0 mg·kg⁻¹ Letrozole solution. Theca cells were collected for transcriptomic sequencing, and differentially expressed genes were analyzed. Functional annotations and pathway enrichment were determined using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Gene interaction network and hub gene analyses were conducted, followed by RT-qPCR validation.

Results

PCOS rats exhibited increased body weight and irregular estrous cycles. A total of 1,114 differentially expressed genes were identified, including 516 upregulated and 598 downregulated genes. Fifty hub genes were selected for further analysis. GO and KEGG pathway enrichment analysis revealed significant involvement of the MAPK and PI3K-Akt signaling pathways. PCR validation confirmed that Cyp17a1, Cyp11a1, S6k1, mTOR, Akt, Kit, and Tek were significantly upregulated in the PCOS group (P < 0.05).

Conclusion

Transcriptomic analysis identified key genes and pathways involved in follicular development dysregulation in PCOS rats, providing potential targets for further research.