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Bio-informatics and in Vitro Experiments Reveal the Mechanism of Schisandrin A Against MDA-MB-231 cells.
- Source :
-
Bioengineered [Bioengineered] 2021 Dec; Vol. 12 (1), pp. 7678-7693. - Publication Year :
- 2021
-
Abstract
- Schisandrin A (SchA) has been reported to have good anti-cancer effects. However, its anti-cancer mechanism in breast cancer remains unknown. This study aimed to explore the mechanism of SchA in breast cancer treatment using bio-informatics analysis and in vitro experiments. The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), Gene Cards, and PharmMapper databases were used to screen the candidate targets of SchA against MDA-MB-231 cells selected as the tested cell line through MTT analysis. The functions and pathways of the targets were identified using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and further analyzed using DAVID 6.8.1 database. Network pharmacology analysis revealed 77 candidate targets, 31 signal pathways, and 208 GO entries (P < 0.05). The targets regulated serine-type endopeptidase and protein tyrosine kinase activities, thereby promoting the migration and inhibiting the apoptosis of MDA-MB-231 cells. Comprehensive analysis of the 'Protein-Protein Interaction' (PPI) and 'Component-Targets-Pathways' (C-T-P) networks constructed using Cytoscape 3.7.1 software revealed four core targets: EGFR, PIK3R1, MMP9 and Caspase 3. Their docking scores with SchA were subsequently investigated through molecular docking. The wound healing, Hoechst 33342/PI, and western blot assays confirmed that SchA significantly down-regulated EGFR, PIK3R1, and MMP9, but up-regulated cleaved-caspase 3, thus inhibiting the migration and promoting the apoptosis of MDA-MB-231 cells. Reckoning the findings of the study, SchA is a potential adjuvant treatment for breast cancer.
- Subjects :
- Cell Line, Tumor
Cell Proliferation drug effects
Female
Humans
Molecular Docking Simulation
Network Pharmacology
Breast Neoplasms chemistry
Breast Neoplasms metabolism
Computational Biology
Cyclooctanes chemistry
Cyclooctanes metabolism
Lignans chemistry
Lignans metabolism
Polycyclic Compounds chemistry
Polycyclic Compounds metabolism
Protein Interaction Maps drug effects
Signal Transduction drug effects
Subjects
Details
- Language :
- English
- ISSN :
- 2165-5987
- Volume :
- 12
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Bioengineered
- Publication Type :
- Academic Journal
- Accession number :
- 34550868
- Full Text :
- https://doi.org/10.1080/21655979.2021.1982307