Evidence map›Paper›PMID 42332882›Full record

ArticleBiophysical journal2026

VEGFR2 dimerization kinetics on the cell surface determined by microscopy and mathematical modeling.

Jaime Guerrero, Zachariah Malik, Fnu Bilal, Soma Jana, Aparajita Dasgupta, Khuloud Jaqaman

Abstract read
In one paragraph

Article in Biophysical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jaime GuerreroDepartment of Biophysics, UT Southwestern Medical Center, Dallas, Texas.
Zachariah MalikDepartment of Biophysics, UT Southwestern Medical Center, Dallas, Texas.
Fnu BilalDepartment of Biophysics, UT Southwestern Medical Center, Dallas, Texas.
Soma JanaDepartment of Biophysics, UT Southwestern Medical Center, Dallas, Texas.
Aparajita DasguptaDepartment of Biophysics, UT Southwestern Medical Center, Dallas, Texas.
Khuloud JaqamanDepartment of Biophysics, UT Southwestern Medical Center, Dallas, Texas; Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, Texas. Electronic address: khuloud.jaqaman@utsouthwestern.edu.

Funding

Mechanisms and Functional Consequences of Signaling Protein Organization at MembranesR35GM119619 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI DASGUPTA, APARAJITA KAMALESH · 2016 to 2025
$4.3M
Molecular Biophysics Training ProgramT32GM131963 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Luke W Rice · 2019 to 2026
$1.5M
NIGMS NIH HHS R35 GM119619NIGMS NIH HHS T32 GM131963
6 · The paper itself

Abstract

Inter-receptor interactions play a key role in cell signaling in response to external stimuli. For quantitative understanding and modeling of transmembrane signal transduction, it is necessary to quantify receptor interaction kinetics (i.e., association and dissociation rate constants) on the cell surface. Live-cell single-molecule imaging (SMI) has the powerful ability to capture transient receptor interaction events in their native cellular environment with high spatiotemporal resolution. However, it reveals these interactions for the labeled subset only, 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 vascular endothelial growth factor receptor 2 (VEGFR2), both wild-type full-length VEGFR2 (FLR2)-the dimerization of which is necessary for activation-and a truncated mutant consisting of the 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 homotypic interactions and determined the unknown model parameters (most importantly, association and dissociation rate constants) through a combination of direct experimental measurements and stochastic model calibration. As expected, we found that ECTM was primarily monomeric, while FLR2 exhibited substantial reversible dimerization. Importantly, our inference revealed that the difference between FLR2 and ECTM was primarily in their dimer association rate constant, which was about an order of magnitude higher for FLR2 than for ECTM. To our knowledge, this is the first time that the dimerization kinetics of VEGFR2, i.e., its association and dissociation rate constants, have been measured in intact live cells.

Indexed as

Cell MembraneModels, BiologicalProtein MultimerizationSingle Molecule ImagingVascular Endothelial Growth Factor Receptor-2HumansKineticsVascular Endothelial Growth Factor Receptor-2

Identifiers

PMID42332882
PMCPMC13384206

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.