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DOI 10.1038/s41598-017-12691-y

Медицинская библиотека · Scientific reports · 2017

Modeling the Kinetics of Integrin Receptor Binding to Hepatic Extracellular Matrix Proteins.

Hudson Shanice V, Dolin Christine E, Poole Lauren G, Massey Veronica L, Wilkey Daniel, Beier Juliane I, Merchant Michael L, Frieboes Hermann B, Arteel Gavin E

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Аннотация

The composition of the extracellular matrix (ECM) proteins and the expression of their cognate receptors dictate cell behavior and dynamics. In particular, the interactions of ECM proteins with integrin receptors are key mediators of these cellular processes, playing a crucial role in the progression of several diseases of the liver, including inflammation, fibrosis/cirrhosis and cancer. This study establishes a modeling approach combining computation and experiments to evaluate the kinetics of integrin receptor binding to hepatic ECM proteins. ECM ligand concentration was derived from LC-MS/MS quantification of the hepatic ECM from mice exposed to chronic carbon tetrachloride (CCl4); receptor density was derived from published literature. Mathematical models for ECM-integrin binding kinetics that were developed incorporate receptor divalence and an aggregation scheme to represent clustering. The computer simulations reproduced positive cooperativity in the receptor aggregation model when the aggregation equilibrium constant (Ka) was positive and greater than Keq for divalent complex formation. Importantly, the modeling projected an increase in integrin binding for several receptors for which signaling is known to be increased after CCl4 exposure in the liver. The proposed modeling approach may be of use to elucidate the kinetics of integrin receptor binding to ECM proteins for homeostatic and diseased livers.

Для цитирования: Hudson Shanice V, Dolin Christine E, Poole Lauren G, Massey Veronica L, Wilkey Daniel, Beier Juliane I, Merchant Michael L, Frieboes Hermann B, Arteel Gavin E. Modeling the Kinetics of Integrin Receptor Binding to Hepatic Extracellular Matrix Proteins.. Scientific reports. 2017. DOI: 10.1038/s41598-017-12691-y.

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