In a process called inter-kingdom signaling, bacterial QS molecules may modulate or influence the behavior of eukaryotic cells. The lipophilic O-DDHSL molecule with an intact homoserine lactone ring interacts directly with phospholipids in model membrane systems and in Jurkat T-cell membranes. The O-DDHSL molecule, upon entering mammalian cells, may activate nuclear peroxisome proliferator-activated receptors to influence transcriptional activity and NF-kB signaling. It also appears that O-DDHSL can inhibit mammalian cell proliferation and cause cell death in certain cell types, LY2109761 including cystic-fibrosis-airway epithelial cells, breast carcinoma cells, T-cells and fibroblasts. Based on existing reports that bacterial QS signals can modulate human cell behavior, we questioned whether O-DDHSL could affect pancreatic carcinoma cell phenotype and characteristics. The rationale for our studies is that pancreatic cancer patients have comparatively low survival rates and remain unresponsive to standard therapies; hence the quest for novel agents to treat pancreatic cancer is necessary. The mechanism of action of ODDHSL in pancreatic carcinoma cells has yet to be tested. The elucidation of the mechanism of action of O-DDHSL could lead to the development of more effective analogs and novel therapeutic targets, leading to better therapeutic outcomes for pancreatic cancer patients. The primary objective of our studies is to analyze the migration, viability and colony forming ability of pancreatic carcinoma cells in vitro and the effect of alteration of genes involved in these processes following O-DDHSL treatment. Bacteria communicate with eukaryotic hosts in both pathogenic and symbiotic relationships by chemical means using QS molecules. Eukaryotes can detect and react to such bacterial signals. We explored the BIBW2992 moa possibility that human pancreatic tumor cells could respond to QS molecules of P. aeruginosa bacteria, anticipating that such signaling molecules could modulate the growth and migration characteristics as well as gene expression of the cells.
It can be extended to the topological analysis of biological and synthetic polymers
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