LangmuirBiophysicsPeer-reviewed journal article
Tunable electrostatic interactions of lipid-coated quantum dots with biological membranes
Lion MorgensteiniD, Carlos A. Huang-ZhuiD, Shimon YudovichiD, Asaf GrupiiD, Reid C. Van LehniD, Shimon WeissiD
Abstract
Surface functionalization of inorganic quantum dot nanoparticles is of great interest in the application of these materials toward a wide range of biological applications where membrane interactions are critical. The use of amphiphilic lipids to functionalize the surfaces of quantum dots represents a promising alternative to produce water-soluble and membrane-active materials with facile tuning of the quantum dots surface properties. Here, we demonstrate an experimental approach that yields lipid-coated quantum dots with highly tunable surface charge by controlling the concentration of cationic lipids during preparation. Through fluorescence-activated cell sorting assays, we show that these cationic lipid-coated quantum dots can enhance membrane interactions and increase membrane labeling density in live HEK293 cells. We further employed coarse-grained molecular dynamics simulations to model the lipid self-assembly process using an implicit solvent force field and subsequently model the adsorption of lipid-coated quantum dots to model membranes. Our simulations show that we can control the effective surface charge of lipid-coated quantum dots and influence the strength of adsorption to oppositely charged lipid membranes, a process that is mediated by the release of counterions at the quantum dot-membrane interface. This work supports the future development of biocompatible and water-soluble inorganic nanoparticles with highly tunable surfaces, and provides mechanistic insight into how different lipids can influence nanoparticle-membrane interactions at a molecular scale.
- organism: human
- assay: imaging
- research focus: cell type annotation
- approach: experimental assay
- approach: mechanistic / dynamical model
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 29th percentile
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