Bacterial Model Membranes Deform ( resp. Persist) upon Ni2+ Binding to Inner Core ( resp. O-Antigen) of Lipopolysaccharides.
HanByul ChangKarthikeyan GnanasekaranNathan C GianneschiFranz M GeigerPublished in: The journal of physical chemistry. B (2019)
The surface charge densities, apparent equilibrium binding constants, and free energies of binding of nickel ions to supported and suspended lipid membranes prepared from POPC and two types of lipopolysaccharide (LPS) are reported. Second- and third-order nonlinear optical mixing shows that rough LPS (rLPS)-incorporated bilayers carry the highest charge density and provide the most binding sites for nickel ions while LPS-free bilayers exhibit the lowest charge density and fewest binding sites. Ni2+ binding is almost fully reversible at low concentrations but less so at higher Ni2+ concentrations. Ni2+ adsorption isotherms exhibit hysteresis loops. The role of interfacial depth on the observed second harmonic generation (SHG) responses is discussed in the context of complementary dynamic light scattering, X-ray spectroscopy, and cryogenic transmission electron microscopy experiments. The latter reveal considerable Ni2+-induced structural deformations to the bacterial membrane models containing the short, O-antigen-free rLPS, consistent with complex formation on the vesicle surfaces that involve Ni2+ ions and carboxylate groups in the inner core of rLPS. In contrast, Ni2+ ion complexation to the charged groups (phosphates and carboxylate) of the considerably longer O-antigen units in sLPS appears to protect the phospholipid backbone against metal binding and thus preserve the vesicle structure.
Keyphrases
- metal organic framework
- inflammatory response
- electron microscopy
- molecular dynamics simulations
- transition metal
- high resolution
- aqueous solution
- quantum dots
- dna binding
- anti inflammatory
- magnetic resonance
- binding protein
- magnetic resonance imaging
- oxidative stress
- immune response
- ionic liquid
- dna methylation
- escherichia coli
- gene expression
- computed tomography
- mass spectrometry
- optical coherence tomography
- diabetic rats
- carbon nanotubes
- endothelial cells