Guerrero Jaime, Malik Zachariah, Bilal Fnu, Jana Soma, Dasgupta Aparajita, Jaqaman Khuloud
Department of Biophysics, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75390, USA.
bioRxiv. 2025 Jun 5:2025.06.03.657760. doi: 10.1101/2025.06.03.657760.
Inter-receptor interactions play a key role in receptor signaling, which is the first step in cell signaling in response to external stimuli. In the case of Vascular Endothelial Growth Factor Receptor 2 (VEGFR2), dimerization is necessary for activation. VEGFR2 undergoes reversible interactions also in the absence of ligand. For a quantitative understanding of transmembrane signal transduction, it is necessary to quantify the interaction kinetics of VEGFR2 on the cell surface. Live-cell single-molecule imaging (SMI) has the powerful ability to capture receptor interaction events in their native cellular environment with high spatiotemporal resolution. However, it reveals these interactions for only the labeled subset, which is a small fraction of the full population of receptors. We have previously shown that mathematical modeling, combined with SMI data, offers a route to compensate for this lost information and infer the population-level receptor interaction kinetics from SMI data. Here, we applied this approach to VEGFR2, both wildtype full length VEGFR2 (FLR2) and a truncated mutant consisting of its extracellular and transmembrane domains (ECTM), which has been shown to exhibit reduced homotypic interactions in the absence of ligand. We developed a stochastic mathematical model mimicking VEGFR2 diffusion and interactions and determined the unknown model parameters through a combination of direct experimental measurements and stochastic model calibration. We found that a model of dimerization was sufficient to describe VEGFR2 interactions in the absence of ligand. While ECTM was primarily monomeric, FLR2 exhibited a substantial fraction of dimers. Our inference revealed that the difference between FLR2 and ECTM was primarily in the dimer association rate constant, which was about an order of magnitude lower for ECTM than for FLR2. To our knowledge, this is the first time that the interaction kinetics of VEGFR2 have been calculated in live cells.
受体间相互作用在受体信号传导中起关键作用,而受体信号传导是细胞响应外部刺激进行信号传导的第一步。就血管内皮生长因子受体2(VEGFR2)而言,二聚化是激活所必需的。即使在没有配体的情况下,VEGFR2也会发生可逆相互作用。为了定量理解跨膜信号转导,有必要量化VEGFR2在细胞表面的相互作用动力学。活细胞单分子成像(SMI)具有强大的能力,能够在天然细胞环境中以高时空分辨率捕获受体相互作用事件。然而,它仅揭示了标记子集的这些相互作用,而标记子集只是受体全群体中的一小部分。我们之前已经表明,数学建模与SMI数据相结合,为弥补这些丢失的信息并从SMI数据推断群体水平的受体相互作用动力学提供了一条途径。在此,我们将这种方法应用于VEGFR2,包括野生型全长VEGFR2(FLR2)和由其细胞外和跨膜结构域组成的截短突变体(ECTM),已表明该突变体在没有配体的情况下表现出减少的同型相互作用。我们开发了一个模拟VEGFR2扩散和相互作用的随机数学模型,并通过直接实验测量和随机模型校准相结合的方式确定未知的模型参数。我们发现二聚化模型足以描述没有配体时VEGFR2的相互作用。虽然ECTM主要是单体,但FLR2表现出相当一部分二聚体。我们的推断表明,FLR2和ECTM之间的差异主要在于二聚体缔合速率常数,ECTM的该常数比FLR2低约一个数量级。据我们所知,这是首次在活细胞中计算VEGFR2的相互作用动力学。