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Evaluating the anti-metastatic potential of curcumin against TGFβ induced EMT process in A549 cells using systems biology tools

ABSTRACT: Curcumin (diferuloylmethane) is the bioactive phenolic compound, and the mechanism by which curcumin exerts its anti-metastatic effects was comprehensive and diverse. Several studies reported the anti-metastasis effect of curcumin by its ability to modulate the epithelial-to-mesenchymal transition (EMT) process in different cancers, and the underlying molecular mechanism is poorly understood. EMT is a highly conserved biological process in which epithelial cells acquire mesenchymal-like characteristics by losing their cell-cell junctions and polarity deviating cellular mechanism towards cancer metastasis triggering cancer cells to escape from a primary site to distant locations causing spread of cancer to the entire system ultimately leading to death. In this perspective, we explored the anti-metastatic potential and mechanism of curcumin on the EMT process by establishing in-vitro EMT model using A549 cells induced by TGF-β1. Our results showed that curcumin inhibited EMT by regulating the expression of crucial mesenchymal markers such as MMP2, vimentin, and N-Cadherin. Besides, the transcriptional analysis revealed that curcumin treatment differentially regulated the expression of 75 genes in the NanoString n-counter platform. Further PPI (Protein-protein interaction) network and clusters analysis of differentially expressed genes (DEGs) revealed their involvement in essential biological processes. Altogether, the analysis gives a comprehensive overview of the anti-metastatic effect of curcumin in inhibiting TGF-β1 induced EMT in A549 cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE174129 | GEO | 2022/07/01

REPOSITORIES: GEO

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Evaluating the anti-metastatic potential of curcumin against TGFβ induced EMT process in A549 cells using systems biology tools

Project description:Evaluating the anti-metastatic potential of curcumin against TGFβ induced EMT process in A549 cells using systems biology tools

| PRJNA728475 | ENA

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