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胜、负或平:细胞 - 细胞外基质界面配体竞争的数学建模

Win, Lose, or Tie: Mathematical Modeling of Ligand Competition at the Cell-Extracellular Matrix Interface.

作者信息

Karagöz Zeynep, Geuens Thomas, LaPointe Vanessa L S, van Griensven Martijn, Carlier Aurélie

机构信息

Department of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands.

出版信息

Front Bioeng Biotechnol. 2021 Apr 29;9:657244. doi: 10.3389/fbioe.2021.657244. eCollection 2021.

Abstract

Integrin transmembrane proteins conduct mechanotransduction at the cell-extracellular matrix (ECM) interface. This process is central to cellular homeostasis and therefore is particularly important when designing instructive biomaterials and organoid culture systems. Previous studies suggest that fine-tuning the ECM composition and mechanical properties can improve organoid development. Toward the bigger goal of fully functional organoid development, we hypothesize that resolving the dynamics of ECM-integrin interactions will be highly instructive. To this end, we developed a mathematical model that enabled us to simulate three main interactions, namely integrin activation, ligand binding, and integrin clustering. Different from previously published computational models, we account for the binding of more than one type of ligand to the integrin. This competition between ligands defines the fate of the system. We have demonstrated that an increase in the initial concentration of ligands does not ensure an increase in the steady state concentration of ligand-bound integrins. The ligand with higher binding rate occupies more integrins at the steady state than does the competing ligand. With cell type specific, quantitative input on integrin-ligand binding rates, this model can be used to develop instructive cell culture systems.

摘要

整合素跨膜蛋白在细胞与细胞外基质(ECM)界面进行机械转导。这一过程对细胞稳态至关重要,因此在设计具有指导作用的生物材料和类器官培养系统时尤为重要。先前的研究表明,微调ECM的组成和机械性能可以改善类器官的发育。为了实现完全功能性类器官发育这一更大的目标,我们假设解析ECM-整合素相互作用的动力学将具有高度的指导意义。为此,我们开发了一个数学模型,使我们能够模拟三种主要相互作用,即整合素激活、配体结合和整合素聚集。与先前发表的计算模型不同,我们考虑了不止一种类型的配体与整合素的结合。配体之间的这种竞争决定了系统的命运。我们已经证明,配体初始浓度的增加并不确保配体结合的整合素稳态浓度的增加。在稳态下,结合速率较高的配体比竞争配体占据更多的整合素。有了整合素-配体结合速率的细胞类型特异性定量输入,该模型可用于开发具有指导作用的细胞培养系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a740/8117103/e6f2e4c9b47d/fbioe-09-657244-g001.jpg

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