Neier, Steven C.

Abstract Upon positive selection of conventional αβ T cells, CD4+ CD8+ double-positive (DP) cells transition to single-positive (SP) and reduce their responsiveness to weak peptide/MHC ligands (affinity threshold conversion, ATC). We report that ATC actually begins prior to the completion of positive selection in the DP stage, and this checkpoint is where the TCRα/CD3δ signaling axis controls positive selection. We dissected ATC in the OT1 TCR transgenic system in conjunction with several different genes whose null mutations block thymic development at DP stage: β2m, CD3δ, and/or TCRα-Connecting Peptide Motif (αCPM). In the absence of MHC class I (β2m0), CD3δ or αCPM mutants were blocked at pre-selection DP stage and displayed immature, high-sensitivity to weak TCR ligands. In contrast, when MHC class I was present (β2m+), CD3δ or αCPM mutants were blocked at DP stage but underwent partial ATC; they began positive selection but did not complete it. Upon exogenous TCR engagement of partial-ATC thymocytes, the proximal signaling protein interaction network showed overall weakened activity, notably decreasing SOS1 participation linked to the downstream Ras/Raf/ERK selection pathway. Provision of high affinity peptide/MHC in FTOC rescued completion of positive selection for partial-ATC mutant thymocytes. Finally, comparing nontransgenic, polyclonal B6 vs. CD3δ0 DP thymocytes, although most cells showed equal maturation state, a subset of cells in B6 progressed in maturation relative to CD3δ0. We propose the existence of an intermediate checkpoint inside DP stage, in which ATC already begins to reduce responsiveness to selection ligands, yet further TCR signaling is required to complete positive selection.

Abstract Signaling networks and the protein interactions that define them are of great interest, but techniques to assess these networks in unmanipulated primary human cells are limited. We have developed and applied a novel technological and analytical platform to measure proteins in shared complexes detected by exposed surface epitopes (PiSCES). Immunoprecipitation reactions are performed in multiplex using microsphere beads to measure 20+ proteins and 210+ distinct pair-wise protein associations that are important for T cell antigen receptor signaling. Jurkat T cells stimulated with superantigen generated an extensive PiSCES signature using this method and provided a dataset from which we optimized an analytical package. The system is currently being utilized to address the hypothesis that T cells isolated from skin lesions of autoimmune alopecia areta (AA) patients will have a unique PiSCES signature compared to those isolated from non-AA donors. To investigate this, we have isolated non-engineered primary cells from AA patient skin lesions and healthy controls, and have begun to identify differences in their PiSCES signatures, either directly after isolation or after stimulation with anti-CD3 and anti-CD28. We conclude that this novel PiSCES approach is capable of generating protein-protein interaction signatures that provide a unique view of TCR signalosome activity solicited from physiologic non-engineered primary human patient samples.

Quantitative activity through the TCR-proximal protein network specifies thymic positive versus negative selection.

Abstract Human immunity exhibits remarkable heterogeneity among individuals, which engenders variable responses to immune perturbations in human populations. Population studies reveal that, in addition to interindividual heterogeneity, systemic immune signatures display longitudinal stability within individuals, and these signatures may reliably dictate how given individuals respond to immune perturbations. We hypothesize that analyzing relationships among these signatures at the population level may uncover baseline immune phenotypes that correspond with response outcomes to immune stimuli. To test this, we quantified global gene expression in peripheral blood CD4+ cells from healthy individuals at baseline and following CD3/CD28 stimulation at two time points 1 mo apart. Systemic CD4+ cell baseline and poststimulation molecular immune response signatures (MIRS) were defined by identifying genes expressed at levels that were stable between time points within individuals and differential among individuals in each state. Iterative differential gene expression analyses between all possible phenotypic groupings of at least three individuals using the baseline and stimulated MIRS gene sets revealed shared baseline and response phenotypic groupings, indicating the baseline MIRS contained determinants of immune responsiveness. Furthermore, significant numbers of shared phenotype-defining sets of determinants were identified in baseline data across independent healthy cohorts. Combining the cohorts and repeating the analyses resulted in identification of over 6000 baseline immune phenotypic groups, implying that the MIRS concept may be useful in many immune perturbation contexts. These findings demonstrate that patterns in complex gene expression variability can be used to define immune phenotypes and discover determinants of immune responsiveness.

A technique for identifying patient-specific protein complexes reveals altered signaling in T cells from patients with the autoimmune disease alopecia areata.

A multiplex antibody-mediated capture technique reveals patient-specific protein complexes.

AbstractStudying signal transduction in skin‐resident T cells (sr‐T cells) can be limited by the small size of clinical biopsies. Here, we isolated sr‐T cells from clinical samples and analysed signalling protein complexes by multiplex immunoprecipitation detected by flow cytometry (mIP‐FCM). In samples from two independent donors, antigenic stimulation induced signalling proteins to join shared complexes that were observed in seven pairwise combinations among five proteins. This demonstrates that sr‐T cells isolated from small clinical samples provide sufficient material for mIP‐FCM‐based analysis of signalling‐induced protein complexes. We propose that this strategy may be useful for gaining improved mechanistic insight of sr‐T cell signal transduction associated with dermatological disease.