A unifying model of T-cell signaling protein condensates in reconstitution experiments
Abstract
The formation of condensates by the Linker for the Activation of T-cells (LAT) is a key signal gating and amplification step in the T-cell receptor signaling pathway. LAT condensation is challenging to study in-vivo and is therefore often investigated using reconstitution experiments. While these experiments recapitulate key aspects of LAT condensation, they also exhibit some puzzling features. Here, we describe the mechanisms underlying these observations using two complementary models. First, we employ a Smoluchowski aggregation model to show that the delay time before condensation is observed arises from a low effective binding probability between LAT monomers. Second, we propose a field-theoretic model that reproduces all condensate morphologies observed in experiments, showing that they can arise from common underlying dynamics modulated by variations in experimental conditions. This result unifies different experimental observations reported previously. While this article addresses open questions regarding the formation of LAT condensates, our results also provide a common framework for understanding condensation of other multivalent membrane proteins such as EGFR, FGFR2, and nephrin.
Data availability
Microscopy data have been deposited on Zenodo (doi: 10.5281/zenodo.17478868).Model implementations are available on GitHub (https://github.com/YannickOmar/Omar2025_LATReconstitution) and Zenodo (doi: 10.5281/zenodo.17478950).
Article and author information
Author details
Funding
National Institute of Allergy and Infectious Diseases (2P01AI091580-11A1)
- Yannick Azhri Din Omar
- Simou Sun
- Jay T Groves
- Arup K Chakraborty
Novo Nordisk Foundation under the Center for Geometrically Engineered Cellular Systems (NNF17OC0028176)
- Simou Sun
- Jay T Groves
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2026, Omar et al.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
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