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基于基因表达谱和生物信息学分析鉴定原发性卵巢功能不全的自噬相关基因。

Identification and Validation of Autophagy-Related Genes in Primary Ovarian Insufficiency by Gene Expression Profile and Bioinformatic Analysis.

机构信息

Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.

出版信息

Anal Cell Pathol (Amst). 2022 Jul 4;2022:9042380. doi: 10.1155/2022/9042380. eCollection 2022.

DOI:10.1155/2022/9042380
PMID:35837294
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9273469/
Abstract

BACKGROUND

To investigate the relationship between primary ovarian insufficiency and autophagy, we detected and got the expression profile of human granulosa cell line SVOG, which was with or without LPS induced. The expression profile was analyzed with the focus on the autophagy genes, among which hub genes were identified.

RESULTS

Totally, 6 genes were selected as candidate hub genes which might correlate with the process of primary ovarian insufficiency. The expression of hub genes was then validated by quantitative real-time PCR and two of them had significant expression change. Bioinformatics analysis was performed to observe the features of hub genes, including hub gene-RBP/TF/miRNA/drug network construction, functional analysis, and protein-protein interaction network. Pearson's correlation analysis was also performed to identify the correlation between hub genes and autophagy genes, among which there were four autophagy genes significantly correlated with hub genes, including ATG4B, ATG3, ATG13, and ULK1.

CONCLUSION

The results indicated that autophagy might play an essential role in the process and underlying molecular mechanism of primary ovarian insufficiency, which was revealed for the first time and may help to provide a molecular foundation for the development of diagnostic and therapeutic approaches for primary ovarian insufficiency.

摘要

背景

为了探究原发性卵巢功能不全与自噬之间的关系，我们检测并获得了人卵巢颗粒细胞系 SVOG 的表达谱，该细胞系有无 LPS 诱导。通过分析自噬基因，重点关注其表达谱，确定了核心基因。

结果

总共选择了 6 个候选核心基因，这些基因可能与原发性卵巢功能不全的发生过程相关。通过定量实时 PCR 对核心基因的表达进行了验证，其中两个基因的表达有显著变化。对核心基因进行了生物信息学分析，包括核心基因-RBP/TF/miRNA/药物网络构建、功能分析和蛋白质-蛋白质相互作用网络。还进行了 Pearson 相关性分析，以确定核心基因与自噬基因之间的相关性，其中有 4 个自噬基因与核心基因显著相关，包括 ATG4B、ATG3、ATG13 和 ULK1。

结论

这些结果表明，自噬可能在原发性卵巢功能不全的发生和潜在分子机制中发挥重要作用，这是首次揭示这一机制，可能有助于为原发性卵巢功能不全的诊断和治疗方法的发展提供分子基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/3ab419a3c31f/ACP2022-9042380.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/12181a815887/ACP2022-9042380.001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/3ab419a3c31f/ACP2022-9042380.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/12181a815887/ACP2022-9042380.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/494e06e89296/ACP2022-9042380.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/7cbb628827c9/ACP2022-9042380.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/8407d3d53699/ACP2022-9042380.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/23df4abeafc4/ACP2022-9042380.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/122b37eb788e/ACP2022-9042380.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/47b2cf0c99af/ACP2022-9042380.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/d22ad2aa9db1/ACP2022-9042380.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/9273469/3ab419a3c31f/ACP2022-9042380.009.jpg

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