Partitioning of nanoscale particles on a heterogeneous multicomponent lipid bilayer
Literature Information
Ran Yang, Xiaodong Tian, Kejie He, Seth Leon Filbrun, Ning Fang
Cell membrane-based sorting and trafficking of nanoscale particles (NPs) are fundamental processes in many cellular activities such as endocytosis, signaling and virus infection; however, the regulation mechanism of these behaviors is still poorly understood. In this work, partitioning of NPs into different lipid phases (i.e., liquid-ordered and liquid-disordered phases) on a ternary lipid bilayer, as well as the influence of NP perturbations on the phase separation of the bilayer, is investigated by using coarse-grained molecular dynamics simulations. Interestingly, it is revealed by our simulations that even with the same chemical affinity between the NPs and lipids in different phases, NPs are still able to preferentially locate at the liquid-disordered (Ld) phase domains. The preferential partitioning behavior of NPs is associated with the physical properties of both the membrane and NPs (e.g., the membrane stiffness and the NP size/quantity). Additionally, the preferential partitioning of NPs facilitates growth of the Ld domain and promotes coupling of this domain between the two leaflets. This work provides new insights into the complicated nano–bio interaction mechanism. Moreover, it suggests methods to regulate the mobility of NPs on cellular membranes to modulate important biological processes accordingly.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.














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