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Three-dimensional segregation of supramolecular activation clusters in T cells

Author

Listed:
  • Colin R. F. Monks

    (National Jewish Medical and Research Center)

  • Benjamin A. Freiberg

    (National Jewish Medical and Research Center
    University of Colorado Health Sciences Center)

  • Hannah Kupfer

    (National Jewish Medical and Research Center)

  • Noah Sciaky

    (National Jewish Medical and Research Center)

  • Abraham Kupfer

    (National Jewish Medical and Research Center
    University of Colorado Health Sciences Center
    University of Colorado Health Sciences Center)

Abstract

Activation of T cells by antigen-presenting cells (APCs) depends on the complex integration of signals that are delivered by multiple antigen receptors. Most receptor-proximal activation events in T cells1,2 were identified using multivalent anti-receptor antibodies, eliminating the need to use the more complex APCs. As the physiological membrane-associated ligands on the APC and the activating antibodies probably trigger the same biochemical pathways, it is unknown why the antibodies, even at saturating concentrations, fail to trigger some of the physiological T-cell responses3. Here we study, at the level of the single cell, the responses of T cells to native ligands. We used a digital imaging system and analysed the three-dimensional distribution of receptors and intracellular proteins that cluster at the contacts between T cells and APCs during antigen-specific interactions3,4. Surprisingly, instead of showing uniform oligomerization, these proteins clustered into segregated three-dimensional domains within the cell contacts. The antigen-specific formation of these new, spatially segregated supramolecular activation clusters may generate appropriate physiological responses and may explain the high sensitivity of the T cells to antigen.

Suggested Citation

  • Colin R. F. Monks & Benjamin A. Freiberg & Hannah Kupfer & Noah Sciaky & Abraham Kupfer, 1998. "Three-dimensional segregation of supramolecular activation clusters in T cells," Nature, Nature, vol. 395(6697), pages 82-86, September.
  • Handle: RePEc:nat:nature:v:395:y:1998:i:6697:d:10.1038_25764
    DOI: 10.1038/25764
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    Cited by:

    1. Kai Liu & Brian Chu & Jay Newby & Elizabeth L Read & John Lowengrub & Jun Allard, 2019. "Hydrodynamics of transient cell-cell contact: The role of membrane permeability and active protrusion length," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-21, April.
    2. Jonathan D. Worboys & Katherine N. Vowell & Roseanna K. Hare & Ashley R. Ambrose & Margherita Bertuzzi & Michael A. Conner & Florence P. Patel & William H. Zammit & Judit Gali-Moya & Khodor S. Hazime , 2023. "TIGIT can inhibit T cell activation via ligation-induced nanoclusters, independent of CD226 co-stimulation," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    3. Kenkre, V.M. & Spendier, K., 2022. "A theory of coalescence of signaling receptor clusters in immune cells," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 602(C).
    4. Rachel Drawbond & Kathrin Spendier, 2019. "TIRF Microscope Image Sequences of Fluorescent IgE-FcεRI Receptor Complexes inside a FcεRI-Centric Synapse in RBL-2H3 Cells," Data, MDPI, vol. 4(3), pages 1-11, July.
    5. Wataru Nishi & Ei Wakamatsu & Hiroaki Machiyama & Ryohei Matsushima & Kensho Saito & Yosuke Yoshida & Tetsushi Nishikawa & Tomohiro Takehara & Hiroko Toyota & Masae Furuhata & Hitoshi Nishijima & Arat, 2023. "Evaluation of therapeutic PD-1 antibodies by an advanced single-molecule imaging system detecting human PD-1 microclusters," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    6. Nadia Anikeeva & Maria Steblyanko & Leticia Kuri-Cervantes & Marcus Buggert & Michael R. Betts & Yuri Sykulev, 2022. "The immune synapses reveal aberrant functions of CD8 T cells during chronic HIV infection," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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