4.5 Article

Characterization of Specific Ion Effects on PI(4,5)P2 Clustering: Molecular Dynamics Simulations and Graph-Theoretic Analysis

期刊

JOURNAL OF PHYSICAL CHEMISTRY B
卷 124, 期 7, 页码 1183-1196

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jpcb.9b10951

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资金

  1. Intramural Research Program of the NIH, National Heart, Lung and Blood Institute
  2. KRIBB Research Initiative Program (Korean Biomedical Scientist Fellowship Program), Korea Research Institute of Bioscience and Biotechnology, Republic of Korea
  3. NSF Chemistry Division [CHE 1508499, CHE 1904886]
  4. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [ZIAHL000340] Funding Source: NIH RePORTER

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Numerous cellular functions mediated by phosphatidylinositol (4,5)-bisphosphate (PI(4,5)P-2; PIP2) involve clustering of the lipid as well as colocalization with other lipids. Although the cation-mediated electrostatic interaction is regarded as the primary clustering mechanism, the ion-specific nature of the intermolecular network formation makes it challenging to characterize the clusters. Here we use all-atom molecular dynamics (MD) simulations of PIP2 monolayers and graph-theoretic analysis to gain insight into the phenomenon. MD simulations reveal that the intermolecular interactions preferentially occur between specific cations and phosphate groups (P1, P4, and PS) of the inositol headgroup with better-matched kosmotropic/chaotropic characters consistent with the law of matching water affinities (LMWA). Ca2+ is strongly attracted to P4/P5, while K+ preferentially binds to P1; Na+ interacts with both P4/PS and P1. These specific interactions lead to the characteristic clustering patterns. Specificially, the size distributions and structures of PIP2 clusters generated by kosmotropic cations Ca2+ and Na+ are bimodal, with a combination of small and large clusters, while there is little clustering in the presence of only chaotropic K+; the largest clusters are obtained in systems with all three cations. The small-world network (a model with both local and long-range connections) best characterizes the clusters, followed by the random and the scale-free networks. More generally, the present results interpreted within the LMVVA are consistent with the relative eukaryotic intracellular concentrations Ca2+ << Na+ < Mg2+ < K+; that is, concentrations of Ca2+ and Na+ must be low to prevent damaging aggregation of lipids, DNA, RNA and phosphate-containing proteins.

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