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The Costs of Close Contacts: Visualizing the Energy Landscape of Cell Contacts at the Nanoscale.

Accepted version
Peer-reviewed

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Type

Article

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Authors

Lippert, Anna H 
McColl, James 
Santos, Ana Mafalda 
Ponjavic, Aleks 

Abstract

Cell-cell contacts often underpin signaling between cells. For immunology, the binding of a T cell receptor to an antigen-presenting pMHC initiates downstream signaling and an immune response. Although this contact is mediated by proteins on both cells creating interfaces with gap sizes typically around 14 nm, many, often contradictory observations have been made regarding the influence of the contact on parameters such as the binding kinetics, spatial distribution, and diffusion of signaling proteins within the contact. Understanding the basic physical constraints on probes inside this crowded environment will help inform studies on binding kinetics and dynamics of signaling of relevant proteins in the synapse. By tracking quantum dots of different dimensions for extended periods of time, we have shown that it is possible to obtain the probability of a molecule entering the contact, the change in its diffusion upon entry, and the impact of spatial heterogeneity of adhesion protein density in the contact. By analyzing the contacts formed by a T cell interacting with adhesion proteins anchored to a supported lipid bilayer, we find that probes are excluded from contact entry in a size-dependent manner for gap-to-probe differences of 4.1 nm. We also observed probes being trapped inside the contact and a decrease in diffusion of up to 85% in dense adhesion protein contacts. This approach provides new, to our knowledge, insights into the nature of cell-cell contacts, revealing that cell contacts are highly heterogeneous because of topography- and protein-density-related processes. These effects are likely to profoundly influence signaling between cells.

Description

Keywords

Diffusion, Kinetics, Receptors, Antigen, T-Cell, Signal Transduction, T-Lymphocytes

Journal Title

Biophys J

Conference Name

Journal ISSN

0006-3495
1542-0086

Volume Title

118

Publisher

Elsevier BV
Sponsorship
Wellcome Trust (via University of Oxford) (207547/Z/17/Z)
Engineering and Physical Sciences Research Council (EP/L027631/1)
This work was supported by a Royal Society University Research Fellowship (UF120277 to S.F.L.) and a Research Professorship (RP150066 to D.K.); the EPSRC (EP/L027631/1 to A.P.); and the Wellcome Trust (098274/Z/12/Z to S.J.D.).