FOXO3 Activates MFN2 Expression to Maintain the Autophagy Response in Cancer Cells Under Amino Acid Deprivation.

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xu Jiang, Jing Wang, Fang Ma, Yuyun Li
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引用次数: 0

Abstract

The lack of amino acids triggers the autophagic response. Some studies have shown such starvation conditions also induce mitochondrial fusion, revealing a close correlation between the two processes. Although Mitofusin-2 (MFN2) has been demonstrated to play a role in fusion regulation, its role in the autophagic response and the variables that activate MFN2 under stress remain unknown. In this investigation, we screened and confirmed that forkhead box protein O3 (FOXO3) participates in MFN2's expression during short periods of starvation. Luciferase reporter test proved that FOXO3 facilitates MFN2's transcription by binding to its promoter region, and FOXO3 downregulation directly depresses MFN2's expression. Consequently, inhibiting the FOXO3-MFN2 axis results in the loss of mitochondrial fusion, disrupting the normal morphology of mitochondria, impairing the degradation of substrates, and reducing autophagosome accumulation, ultimately leading to the blockage of the autophagy. In conclusion, our work demonstrates that the FOXO3-MFN2 pathway is essential for adaptive changes in mitochondrial morphology and cellular autophagy response under nutritional constraints.

FOXO3 激活 MFN2 表达以维持氨基酸匮乏条件下癌细胞的自噬反应
氨基酸的缺乏会引发自噬反应。一些研究表明,这种饥饿条件也会诱导线粒体融合,揭示了这两个过程之间的密切联系。虽然已证实 Mitofusin-2(MFN2)在融合调控中发挥作用,但它在自噬反应中的作用以及在应激状态下激活 MFN2 的变量仍然未知。在这项研究中,我们筛选并证实叉头盒蛋白 O3(FOXO3)在短时间饥饿时参与了 MFN2 的表达。荧光素酶报告试验证明,FOXO3通过与其启动子区域结合促进MFN2的转录,而FOXO3的下调会直接抑制MFN2的表达。因此,抑制 FOXO3-MFN2 轴会导致线粒体融合的丧失,破坏线粒体的正常形态,影响底物的降解,减少自噬体的积累,最终导致自噬受阻。总之,我们的研究表明,FOXO3-MFN2 通路对于营养限制下线粒体形态的适应性变化和细胞自噬反应至关重要。
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来源期刊
Journal of cellular biochemistry
Journal of cellular biochemistry 生物-生化与分子生物学
CiteScore
9.90
自引率
0.00%
发文量
164
审稿时长
1 months
期刊介绍: The Journal of Cellular Biochemistry publishes descriptions of original research in which complex cellular, pathogenic, clinical, or animal model systems are studied by biochemical, molecular, genetic, epigenetic or quantitative ultrastructural approaches. Submission of papers reporting genomic, proteomic, bioinformatics and systems biology approaches to identify and characterize parameters of biological control in a cellular context are encouraged. The areas covered include, but are not restricted to, conditions, agents, regulatory networks, or differentiation states that influence structure, cell cycle & growth control, structure-function relationships.
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