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Insights from in situ analysis of TCR-pMHC recognition: response of an interaction network

期刊

IMMUNOLOGICAL REVIEWS
卷 251, 期 -, 页码 49-64

出版社

WILEY
DOI: 10.1111/imr.12016

关键词

T cells; T-cell receptors; cell activation; two-dimensional affinity and kinetics; interaction network

资金

  1. NIH [R01GM096187, K99AG040149, R01NS062358, R01NS071518]
  2. Cancer Prevention and Research Institute of Texas [R1120]
  3. National Multiple Sclerosis Society [RG4482]
  4. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM096187] Funding Source: NIH RePORTER
  5. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS071518, R01NS062358] Funding Source: NIH RePORTER
  6. NATIONAL INSTITUTE ON AGING [K99AG040149] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Recognition of peptide presented by the major histocompatibility complex (pMHC) molecule by the T-cell receptor (TCR) determines T-cell selection, development, differentiation, fate, and function. Despite intensive studies on the structures, thermodynamic properties, kinetic rates, and affinities of TCR-pMHC interactions in the past two decades, questions regarding the functional outcome of these interactions, i.e. how binding of the ab TCR heterodimer with distinct pMHCs triggers different intracellular signals via the adjacent CD3 components to produce different T-cell responses, remain unclear. Most kinetic measurements have used surface plasmon resonance, a three-dimensional (3D) technique in which fluid-phase receptors and ligands are removed from their cellular environment. Recently, several two-dimensional (2D) techniques have been developed to analyze molecular interactions on live T cells with pMHCs presented by surrogate antigen-presenting cells or supported planar lipid bilayers. The insights from these in situ analyses have provided a sharp contrast of the 2D network biology approach to the 3D reductionist approach and prompted rethinking of our current views of T-cell triggering. Based on these insights, we propose a mechanochemical coupled triggering hypothesis to explain why the in situ kinetic parameters differ so much from their 3D counterparts, yet correlate so much better with T-cell functional responses.

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