Elucidating the Molecular Mechanisms of Hederagenin-Regulated Mitophagy in Cervical Cancer SiHa Cells through an Integrative Approach Combining Proteomics and Advanced Network Association Algorithm.

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2025-04-04 Epub Date: 2025-03-26 DOI:10.1021/acs.jproteome.5c00022
Hao Sun, Dan Wang, Yongquan Zheng, Yiqing Ye
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Abstract

Hederagenin (Hed), a natural triterpenoid, exhibits antitumor potential in cervical cancer. The present study was designed to explore Hed's regulatory mechanisms on mitophagy in SiHa cervical cancer cells, employing tandem mass tag (TMT) proteomics and an advanced network association algorithm (NAA). Our findings revealed that Hed decreased SiHa cell viability, induced apoptosis, and altered mitochondrial membrane potential. Notably, Hed inhibited mitophagic flux under both normoxic and hypoxic conditions. Through TMT proteomics analysis and innovative NAA, we identified a close association between the HIF-1 signaling pathway and mitophagy. Network analysis further suggested that Hed acts on a target network centered on SRC, STAT3, AKT1, and HIF1A. Western blot analysis confirmed the expression and phosphorylation status of these targets in response to Hed. This study elucidates the molecular mechanisms underlying Hed's regulation of mitophagy in SiHa cells, offering novel insights and potential therapeutic targets for cervical cancer treatment.

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结合蛋白质组学和先进网络关联算法研究hederagenin调控宫颈癌SiHa细胞线粒体自噬的分子机制
Hederagenin (Hed)是一种天然的三萜,在宫颈癌中显示出抗肿瘤的潜力。本研究旨在利用串联质量标签(TMT)蛋白质组学和先进的网络关联算法(NAA),探讨Hed对SiHa宫颈癌细胞有丝分裂的调控机制。我们的研究结果显示,Hed降低了SiHa细胞的活力,诱导了细胞凋亡,并改变了线粒体膜电位。值得注意的是,在常氧和缺氧条件下,Hed都能抑制有丝分裂通量。通过TMT蛋白质组学分析和创新的NAA,我们确定了HIF-1信号通路与线粒体自噬之间的密切联系。网络分析进一步表明,Hed作用于以SRC、STAT3、AKT1和HIF1A为中心的靶网络。Western blot分析证实了这些靶点在Hed反应中的表达和磷酸化状态。本研究阐明了Hed调控SiHa细胞有丝分裂的分子机制,为宫颈癌治疗提供了新的见解和潜在的治疗靶点。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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