Ezrin T567 phosphorylation regulates migration and invasion of ectopic endometrial stromal cells by changing actin cytoskeleton
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This study investigated how Ezrin T567 phosphorylation influences the migration and invasion of ectopic endometrial stromal cells by altering their actin cytoskeleton.
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Abstract
AimsThe enhanced ability of endometrial cell migration and invasion is the foundation for formation of ectopic lesions in endometriosis. Ezrin has been reported to regulate cell motility by remodeling the cytoskeleton. However, little is known about the mechanisms through which ezrin remodels the cytoskeleton and cell structure to promote cell motility in endometriosis.MethodsIn our study, expression and distribution of ezrin, and Rho pathway were detected through immunohistochemical analysis. The effects of inhibiting ezrin T567 phosphorylation on Rho signaling pathway and cytoskeleton were investigated through western blot, transmission electron microscopy and immunofluorescence analysis.Key findingsWe found that the expression of ezrin and Rho pathway was higher in ectopic endometrium. NSC305787 inhibited the phosphorylation of ezrin T567, resulting in decreased expression of Rho pathway and reduced filopodia formation in ectopic endometrial stromal cells.SignificanceTaken together, our study suggested that ezrin T567 phosphorylation modulated migration and invasion of ectopic ESCs through actin reconstructions, which may serve as a novel therapeutic target in ovarian endometriosis.
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Cited by (14)
- Additional file 4 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Additional file 4 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Additional file 5 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Additional file 3 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Additional file 2 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Additional file 1 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Additional file 5 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Additional file 6 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Additional file 1 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Additional file 3 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Additional file 6 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Additional file 2 of Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation 2024
- MicroRNA‑202 inhibits endometrial stromal cell migration and invasion by suppressing the K‑Ras/Raf1/MEK/ERK signaling pathway 2020
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- europepmc
- last seen: 2026-09-25T06:10:54.854274+00:00
- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00
- pubmed
- last seen: 2026-05-13T22:22:05.164793+00:00
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