Hisse M. van Santen

Coexistence of multivalent and monovalent TCRs explains high sensitivity and wide range of response

A long-standing paradox in the study of T cell antigen recognition is that of the high specificity–low affinity T cell receptor (TCR)–major histocompatibility complex peptide (MHCp) interaction. The existence of multivalent TCRs could resolve this paradox because they can simultaneously improve the avidity observed for monovalent interactions and allow for cooperative effects. We have studied the stoichiometry of the TCR by Blue Native–polyacrylamide gel electrophoresis and found that the TCR exists as a mixture of monovalent (αβγɛδɛζζ) and multivalent complexes with two or more ligand-binding TCRα/β subunits. The coexistence of monovalent and multivalent complexes was confirmed by electron microscopy after label fracture of intact T cells, thus ruling out any possible artifact caused by detergent solubilization. We found that although only the multivalent complexes become phosphorylated at low antigen doses, both multivalent and monovalent TCRs are phosphorylated at higher doses. Thus, the multivalent TCRs could be responsible for sensing low concentrations of antigen, whereas the monovalent TCRs could be responsible for dose-response effects at high concentrations, conditions in which the multivalent TCRs are saturated. Thus, besides resolving TCR stoichiometry, these data can explain how T cells respond to a wide range of MHCp concentrations while maintaining high sensitivity.

T-cell antigen-receptor stoichiometry: pre-clustering for sensitivity.

The T‐cell antigen receptor (TCR˙CD3) is a multi‐subunit complex that is responsible for triggering an adaptive immune response. It shows high specificity and sensitivity, while having a low affinity for the ligand. Furthermore, T cells respond to antigen over a wide concentration range. The stoichiometry and architecture of TCR˙CD3 in the membrane have been under intense scrutiny because they might be the key to explaining its paradoxical properties. This review highlights new evidence that TCR˙CD3 is found on intact unstimulated T cells in a monovalent form (one ligand‐binding site per receptor) as well as in several distinct multivalent forms. This is in contrast to the TCR˙CD3 stoichiometries determined by several biochemical means; however, these data can be explained by the effects of different detergents on the integrity of the receptor. Here, we discuss a model in which the multivalent receptors are important for the detection of low concentrations of ligand and therefore confer sensitivity, whereas the co‐expressed monovalent TCR˙CD3s allow a wide dynamic range.

Cognate Peptide–MHC Complexes Are Expressed as Tightly Apposed Nanoclusters in Virus-Infected Cells To Allow TCR Crosslinking

Antigenic T cell stimulation requires interaction between the TCR of the T cell and cognate peptide–MHC molecules presented by the APC. Although studies with TCR-specific Abs and soluble peptide–MHC ligands have shown that the TCR needs to be crosslinked by two or more ligands to induce T cell stimulation, it is not understood how several MHC molecules loaded with the cognate antigenic peptide can produce crosslinking under physiological conditions. We show at the molecular level that large clusters of cognate peptide–MHC are formed at the surface of murine professional and nonprofessional APCs upon virus infection and that these clusters impinge on the stimulatory capacity of the APC. These clusters are formed by tight apposition of cognate peptide–MHC complexes in a configuration that is compatible with simultaneous engagement of two or more TCRs. This suggests that physiological expression of Ag allows formation of multivalent ligands for the TCR that permit TCR crosslinking and T cell activation.

Models of self-peptide sampling by developing T cells identify candidate mechanisms of thymic selection.

Conventional and regulatory T cells develop in the thymus where they are exposed to samples of self-peptide MHC (pMHC) ligands. This probabilistic process selects for cells within a range of responsiveness that allows the detection of foreign antigen without excessive responses to self. Regulatory T cells are thought to lie at the higher end of the spectrum of acceptable self-reactivity and play a crucial role in the control of autoimmunity and tolerance to innocuous antigens. While many studies have elucidated key elements influencing lineage commitment, we still lack a full understanding of how thymocytes integrate signals obtained by sampling self-peptides to make fate decisions. To address this problem, we apply stochastic models of signal integration by T cells to data from a study quantifying the development of the two lineages using controllable levels of agonist peptide in the thymus. We find two models are able to explain the observations; one in which T cells continually re-assess fate decisions on the basis of multiple summed proximal signals from TCR-pMHC interactions; and another in which TCR sensitivity is modulated over time, such that contact with the same pMHC ligand may lead to divergent outcomes at different stages of development. Neither model requires that T and T are differentially susceptible to deletion or that the two lineages need qualitatively different signals for development, as have been proposed. We find additional support for the variable-sensitivity model, which is able to explain apparently paradoxical observations regarding the effect of partial and strong agonists on T and T development.

Two Receptors, Two Kinases, and T Cell Lineage Determination

Specification of T cell lineage in the thymus is controlled by the timing and strength of signaling of the tyrosine kinase Zap70. The T cell antigen receptor (TCR) serves as a paradigm for how membrane receptors transmit signals to the cytoplasm because it controls many aspects of T cell differentiation and function by detecting atom-sized variations in the quality of the ligand that is recognized. The mechanisms that underlie the different signaling outcomes are unclear. Studies that suggest a ligand-tailored, qualitatively different signal are confronted with evidence that favors a quantitative model, and studies of TCR-dependent T cell differentiation in the thymus are no exception. Mature T cells with an αβ TCR are classified according to two major distinct subsets based on the mutually exclusive presence of the co-receptors CD4 and CD8, which play essential roles in recognition of the major histocompatibility complex (MHC) class II and I ligands, respectively, and in the recruitment of the tyrosine kinase Lck to the TCR complex. Mature CD4+ and CD8+ T cells derive from a common precursor in the thymus, a double-positive (DP) thymocyte, which has both co-receptors. Early signaling models suggested that the differential capacity of CD4 and CD8 to recruit Lck to the TCR underlay lineage decision. A study now shows that differentiation into the CD8+ lineage requires the TCR-induced increased abundance of the tyrosine kinase ζ chain–associated protein kinase of 70 kD (Zap70). This finding, together with the known importance of Lck in the determination of CD4+ and CD8+ lineages, enables us to propose that a balance between the activation of these two kinases by the TCR determines lineage decisions.

Receptor pre-clustering and T cell responses: Insights into molecular mechanisms

T cell activation, initiated by T cell receptor (TCR) mediated recognition of pathogen-derived peptides presented by major histocompatibility complex class I or II molecules (pMHC), shows exquisite specificity and sensitivity, even though the TCR–pMHC binding interaction is of low affinity. Recent experimental work suggests that TCR pre-clustering may be a mechanism via which T cells can achieve such high sensitivity. The unresolved stoichiometry of the TCR makes TCR–pMHC binding and TCR triggering, an open question. We formulate a mathematical model to characterize the pre-clustering of T cell receptors (TCRs) on the surface of T cells, motivated by the experimentally observed distribution of TCR clusters on the surface of naive and memory T cells. We extend a recently introduced stochastic criterion to compute the timescales of T cell responses, assuming that ligand-induced cross-linked TCR is the minimum signaling unit. We derive an approximate formula for the mean time to signal initiation. Our results show that pre-clustering reduces the mean activation time. However, additional mechanisms favoring the existence of clusters are required to explain the difference between naive and memory T cell responses. We discuss the biological implications of our results, and both the compatibility and complementarity of our approach with other existing mathematical models.

Receptors, Signaling Networks, and Disease

This meeting in Madrid focused on signaling by immune cells and regulation of and signaling by G protein–coupled receptors. Over the past years, a holistic approach has been applied to the study of the field of receptor signaling, permitting the analysis of how the interaction between receptors and their cellular environment determines receptor function and the study of the role of these receptors, under both normal and pathophysiological conditions, in whole organisms. This has been facilitated by the development of high-resolution microscopy techniques, which allow single-molecule or spatiotemporal resolution, or both, of signaling processes at the cellular and organismal levels. Concurrently, the role of these signaling pathways can be tested in increasingly sophisticated murine disease models. Finally, computational approaches aid in predicting and understanding receptor behavior. The program of the Madrid meeting reflected this integrated approach, highlighting signaling by and dynamics and regulation of immune cell receptors, the T cell receptor and B cell receptor, and signaling by and regulation of G protein–coupled receptors.

Visualization of TCR Nanoclusters via Immunogold Labeling, Freeze-Etching, and Surface Replication

T cells show high sensitivity for antigen, even though their T-cell antigen receptor (TCR) has a low affinity for its ligand, a major histocompatibility complex molecule presenting a short pathogen-derived peptide. Over the past few years, it has become clear that these paradoxical properties rely at least in part on the organization of cell surface-expressed TCRs in TCR nanoclusters. We describe a protocol, comprising immunogold labeling, cell surface replica generation, and electron microscopy (EM) analysis that allows nanoscale resolution of the distribution of TCRs and other cell surface molecules of cells grown in suspension. Unlike most of the light microscopy-based single-molecule resolution techniques, this technique permits visualization of these molecules on cell surfaces that do not adhere to an experimental support. Given the potential of adhesion-induced receptor redistributions, our technique is a relevant complement to the substrate adherence-dependent techniques. Furthermore, it does not rely on introduction of fluorescently labeled recombinant molecules and therefore allows direct analysis of nonmanipulated primary cells.

TCR Signaling: Proximal Signaling

T cells show high sensitivity and specificity for antigen by expressing a receptor, that is, the T cell receptor (TCR), that is selected for reactivity against self-major histocompatibility complex (MHC) molecules. The distinction between pathogen-derived antigens and self-antigens, both presented in the form of short peptides by the MHC molecules, is paradoxical because the slightly higher affinity of the TCR for the former is not compensated by the overwhelming excess of the second. This property makes it particularly challenging to understand the biophysical mechanisms of TCR signaling in the antigen response. In this article, we comment on historical and more recent models for ligand quality distinction and how this translates into the recruitment of the most proximal TCR cytoplasmic effectors.