Bhattacharya Supriyo, He Yanan, Chen Yihong, Mohanty Atish, Grishaev Alexander, Kulkarni Prakash, Salgia Ravi, Orban John
Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte National Medical Center, CA 91010-3000, USA.
These authors contributed equally.
bioRxiv. 2025 Jan 2:2025.01.01.630265. doi: 10.1101/2025.01.01.630265.
Paxillin (PXN) and focal adhesion kinase (FAK) are two major components of the focal adhesion complex, a multiprotein structure linking the intracellular cytoskeleton to the cell exterior. PXN interacts directly with the C-terminal targeting domain of FAK (FAT) via its intrinsically disordered N-terminal domain. This interaction is necessary and sufficient for localizing FAK to focal adhesions. Furthermore, PXN serves as a platform for recruiting other proteins that together control the dynamic changes needed for cell migration and survival. Here, we show that the PXN disordered region undergoes large-scale conformational restriction upon binding to FAT, forming a 48-kDa multi-modal complex consisting of four major interconverting states. Although the complex is flexible, each state has unique sets of contacts involving disordered regions that are both highly represented in ensembles and conserved. Moreover, conserved intramolecular contacts from glutamine-rich regions in PXN contribute to high entropy and thus stability of the FAT bound complex. As PXN is a hub protein, the results provide a structural basis for understanding how perturbations that lead to cellular network rewiring, such as ligand binding and phosphorylation, may lead to shifts in the multi-state equilibrium and phenotypic switching.
桩蛋白(PXN)和粘着斑激酶(FAK)是粘着斑复合体的两个主要组成部分,粘着斑复合体是一种将细胞内细胞骨架与细胞外连接起来的多蛋白结构。PXN通过其固有无序的N端结构域与FAK的C端靶向结构域(FAT)直接相互作用。这种相互作用对于将FAK定位到粘着斑是必要且充分的。此外,PXN作为一个平台,用于招募其他共同控制细胞迁移和存活所需动态变化的蛋白质。在这里,我们表明PXN无序区域在与FAT结合时会经历大规模的构象限制,形成一个由四种主要相互转换状态组成的48 kDa多模态复合体。尽管该复合体具有灵活性,但每种状态都有独特的接触集,涉及在集合中高度富集且保守的无序区域。此外,PXN富含谷氨酰胺区域的保守分子内接触有助于高熵,从而有助于FAT结合复合体的稳定性。由于PXN是一种枢纽蛋白,这些结果为理解导致细胞网络重新布线的扰动(如配体结合和磷酸化)如何导致多状态平衡的转变和表型转换提供了结构基础。