A critical step in mounting an immune response is antigen recognition by T cells. This step proceeds by productive interactions between T cell receptors (TCR) on the surface of T cells and foreign antigen, in the form of peptide-major-histocompatibility-complexes (pMHC), on the surface of antigen-presenting-cells (APC). Antigen recognition is exceedingly difficult to understand because the vast majority of pMHC on APCs are derived from self-proteins. Nevertheless, T cells have been shown to be exquisitely sensitive, responding to as few as 10 antigenic pMHC in an ocean of tens of thousands of self pMHC. In addition, T cells are extremely specific and respond only to a small subset of pMHC by virtue of their specific TCR. To explain the sensitivity of T cells to pMHC it has been proposed that a single pMHC may serially bind multiple TCRs. Integrating present knowledge on the spatial-temporal dynamics of TCR/pMHC in the T cell-APC contact interface, we have constructed mathematical models to investigate the degree of TCR serial engagements by pMHC. In addition to reactions within clusters, the models capture the formation and mobility of TCR clusters. We find that a single pMHC serially binds a substantial number of TCRs in a TCR cluster only if the TCR/pMHC bond is stabilized by coreceptors and/or pMHC dimerization. In a separate study we propose that serial engagements can explain T cell specificity. Using Monte Carlo simulations, we show that the stochastic nature of TCR/pMHC interactions means that multiple binding events are needed for accurate detection of foreign pMHC. Critical to our studies are estimates of TCR/pMHC reaction rates and mobilities. In the second half of the thesis, we show that Fluorescence Recovery After Photobleaching (FRAP) experiments can reveal effective diffusion coefficients. We then show, using asymptotic analysis and model fitting, that FRAP experiments can be used to estimate reaction rates between cell surface proteins, like TCR/pMHC. Lastly, we use FRAP experiments to investigate how the actin cytoskeleton modulates TCR mobility and report effective reaction rates between TCR and the cytoskeleton.

A critical step in mounting an immune response is antigen recognition by T cells. This step proceeds by productive interactions between T cell receptors (TCR) on the surface of T cells and foreign antigen, in the form of peptide-major-histocompatibility-complexes (pMHC), on the surface of antigen-presenting-cells (APC). Antigen recognition is exceedingly difficult to understand because the vast majority of pMHC on APCs are derived from self-proteins. Nevertheless, T cells have been shown to be exquisitely sensitive, responding to as few as 10 antigenic pMHC in an ocean of tens of thousands of self pMHC. In addition, T cells are extremely specific and respond only to a small subset of pMHC by virtue of their specific TCR. To explain the sensitivity of T cells to pMHC it has been proposed that a single pMHC may serially bind multiple TCRs. Integrating present knowledge on the spatial-temporal dynamics of TCR/pMHC in the T cell-APC contact interface, we have constructed mathematical models to investigate the degree of TCR serial engagements by pMHC. In addition to reactions within clusters, the models capture the formation and mobility of TCR clusters. We find that a single pMHC serially binds a substantial number of TCRs in a TCR cluster only if the TCR/pMHC bond is stabilized by coreceptors and/or pMHC dimerization. In a separate study we propose that serial engagements can explain T cell specificity. Using Monte Carlo simulations, we show that the stochastic nature of TCR/pMHC interactions means that multiple binding events are needed for accurate detection of foreign pMHC. Critical to our studies are estimates of TCR/pMHC reaction rates and mobilities. In the second half of the thesis, we show that Fluorescence Recovery After Photobleaching (FRAP) experiments can reveal effective diffusion coefficients. We then show, using asymptotic analysis and model fitting, that FRAP experiments can be used to estimate reaction rates between cell surface proteins, like TCR/pMHC. Lastly, we use FRAP experiments to investigate how the actin cytoskeleton modulates TCR mobility and report effective reaction rates between TCR and the cytoskeleton.

A critical step in mounting an immune response is antigen recognition by T cells. This step proceeds by productive interactions between T cell receptors (TCR) on the surface of T cells and foreign antigen, in the form of peptide-major-histocompatibility-complexes (pMHC), on the surface of antigen-presenting-cells (APC). Antigen recognition is exceedingly difficult to understand because the vast majority of pMHC on APCs are derived from self-proteins. Nevertheless, T cells have been shown to be exquisitely sensitive, responding to as few as 10 antigenic pMHC in an ocean of tens of thousands of self pMHC. In addition, T cells are extremely specific and respond only to a small subset of pMHC by virtue of their specific TCR. To explain the sensitivity of T cells to pMHC it has been proposed that a single pMHC may serially bind multiple TCRs. Integrating present knowledge on the spatial-temporal dynamics of TCR/pMHC in the T cell-APC contact interface, we have constructed mathematical models to investigate the degree of TCR serial engagements by pMHC. In addition to reactions within clusters, the models capture the formation and mobility of TCR clusters. We find that a single pMHC serially binds a substantial number of TCRs in a TCR cluster only if the TCR/pMHC bond is stabilized by coreceptors and/or pMHC dimerization. In a separate study we propose that serial engagements can explain T cell specificity. Using Monte Carlo simulations, we show that the stochastic nature of TCR/pMHC interactions means that multiple binding events are needed for accurate detection of foreign pMHC. Critical to our studies are estimates of TCR/pMHC reaction rates and mobilities. In the second half of the thesis, we show that Fluorescence Recovery After Photobleaching (FRAP) experiments can reveal effective diffusion coefficients. We then show, using asymptotic analysis and model fitting, that FRAP experiments can be used to estimate reaction rates between cell surface proteins, like TCR/pMHC. Lastly, we use FRAP experiments to investigate how the actin cytoskeleton modulates TCR mobility and report effective reaction rates between TCR and the cytoskeleton. / Science, Faculty of / Mathematics, Department of / Graduate

Thesis (Ph.D.)--York University, 2007. Graduate Programme in Biology. / Typescript. Includes bibliographical references (leaves 224-257). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR32051

Thesis (Ph. D.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains vi, 139 p. : ill. Vita. Includes abstract. Includes bibliographical references.

BACKGROUND:The memory response to LCMV in mice persists for months to years with only a small decrease in the number of epitope specific CD8 T cells. This long persistence is associated with resistance to lethal LCMV disease. In contrast to studies focused on the number and surface phenotype of the memory cells, relatively little attention has been paid to the diversity of TCR usage in these cells. CD8+ T cell responses with only a few clones of identical specificity are believed to be relatively ineffective, presumably due to the relative ease of virus escape. Thus, a broad polyclonal response is associated with an effective anti-viral CD8+ T cell response.RESULTS:In this paper we show that the primary CD8+ T cell response to the LCMV gp33-41 epitope is extremely diverse. Over time while the response remains robust in terms of the number of gp33-tetramer+ T cells, the diversity of the response becomes less so. Strikingly, by 26months after infection the response is dominated by a small number TCRbeta sequences. In addition, it is of note the gp33 specific CD8+ T cells sorted by high and low tetramer binding populations 15 and 22months after infection. High and low tetramer binding cells had equivalent diversity and were dominated by a small number of clones regardless of the time tested. A similar restricted distribution was seen in NP396 specific CD8+ T cells 26months after infection. The identical TCRVbeta sequences were found in both the tetramerhi and tetramerlo binding populations. Finally, we saw no evidence of public clones in the gp33-specific response. No CDR3 sequences were found in more than one mouse.CONCLUSIONS:These data show that following LCMV infection the CD8+ gp33-specific CD8 T cell response becomes highly restricted with enormous narrowing of the diversity. This narrowing of the repertoire could contribute to the progressively ineffective immune response seen in aging.

Early Growth Response Genes (EGR) is a family of four transcription factors containing a unique zinc finger domain. EGR-2 and EGR-3 are important for hindbrain development and myelination. These transcription factors are also necessary for lymphocyte function however, the mechanisms are still unclear. Previous findings have shown that EGR-2cKO mice develop lupus-like autoimmune disease with high levels of pro-inflammatory cytokines despite showing normal T and B cell proliferation after mitogenic stimulation. Therefore we established the CD2-EGR-2-/-EGR-3-/- mouse model to explore the phenotype, susceptibility to autoimmune disease and relevant lymphocyte function. We discovered that CD2-EGR-2-/-EGR-3-/- mice developed severe systemic autoimmune disease and expressed high levels of inflammatory cytokines. More importantly we discovered a novel finding that CD2-EGR-2-/-EGR-3-/- T and B cells had impaired cell proliferation after mitogenic stimulation. Further investigations revealed that the molecular mechanism defected in the T cell receptor signalling pathway is due to a dysfunction in Activator Protein-1 (AP-1). AP-1 is a heterodimeric protein composed of AP-1 family members including Jun, Atf and Fos. Our data shows that EGR-2 and EGR-3 directly bind with the Atf family member Batf, which prevents Batf’s inhibitory function on AP-1 activation. This research demonstrates that EGR-2 and EGR-3 intrinsically regulate chronic inflammation and also positively regulate antigen receptor activation. In conclusion EGR-2 and EGR-3 are essential for providing optimal immune responses, whilst limiting inflammatory immunopathology. We propose that this new model could be used for studying autoimmune disease.

Human cytomegalovirus (HCMV) is a β-herpesvirus that establishes a life-long presence in the infected host. The adaptive immune response is indispensable in controlling HCMV infection. Consequently, healthy individuals show no or mild symptoms following primary infection. In contrast, immunocompromised individuals who develop primary infection or recrudescence of HCMV can experience severe morbidity, and sometimes mortality. HCMV-specific T cell populations undergo changes in the architecture of their T cell receptor (TCR) repertoire following each episode of viral reactivation. A diverse TCR repertoire is thought to be required to provide the most efficient protection against virus infection. Perturbation to this repertoire, as can occur in immunocompromised individuals following transplantation, can lead to an increase risk of developing virus-associated clinical disease. Therefore, the study of factors influencing TCR selection is critically important in both healthy and immunocompromised individuals. To further understand the factors governing TCR selection in a persistent virus infection, the current thesis examined this process in different settings. CD8+ T cell responses to persistent viral infections are characterised by the accumulation of T cells exhibiting an oligoclonal T cell repertoire, with a parallel reduction in the naïve T cell pool. However, the precise mechanism for this phenomenon remains elusive. Here, we showed that HCMV-specific CD8+ T cells recognising distinct epitopes from the pp65 protein and restricted through an identical HLA class I allele (HLA B*3508) exhibited either a highly conserved public T cell repertoire, or a private, diverse T cell response, which was uniquely altered in each donor following in vitro antigen exposure. Selection of a public TCR was co-incident with an atypical peptide-MHC (pMHC) structure, whereby the epitope adopted a helical conformation that bulged from the peptide-binding groove, whilst a diverse TCR profile was observed in response to the epitope that formed a flatter, more ‘featureless’ landscape. Clonotypes with biased TCR usage demonstrated more efficient recognition of virus-infected cells, a greater CD8 dependency, and were more terminally differentiated in their phenotype when compared to the T cells expressing diverse TCR. These findings provide new insights into our understanding of how the biology of antigen presentation, in addition to the structural features of the pMHC, might shape the T cell phenotype and its corresponding repertoire architecture. Next, the role of HCMV in shaping the global and antigen-specific TCR repertoire in healthy donors was examined. First, exposure to HCMV led to an inflation of terminally differentiated CD57-expressing T cells. This effect was not seen in HCMV seronegative individuals who showed evidence of exposure to another persistent herpesvirus, Epstein-Barr virus (EBV). More importantly, these terminally differentiated CD8+ T cells in HCMV-exposed individuals displayed a highly skewed architecture of their peripheral blood T cell repertoire, with large monoclonal/oligoclonal expansions. However, ex vivo analyses of HCMV-specific T cells revealed a heterogeneous pattern of CD57 expression that showed no correlation to the antigenic source of its cognate epitope. Based on these observations, we proposed that exposure to HCMV drives the differentiation of not only the global T cell population, but select HCMV-specific T cell populations as well, and that expression of CD57 by these cells was co-incident with an oligoclonal T cell repertoire. Finally, the TCR repertoire was examined in a cohort of solid organ transplant (SOT) recipients, where primary infection or recrudescence of latent virus infection can be manifested either as asymptomatic or symptomatic disease. We examined 18 SOT recipients, and observed that symptomatic HCMV or EBV infection or recrudescence following solid organ transplantation was co-incident with a dramatic skewing of the TCR repertoire, with expansions of monoclonal/oligoclonal clonotypes. As the clinical symptoms resolved, the peripheral blood repertoire reverted to a more diverse distribution. In contrast, SOT recipients with asymptomatic or no HCMV/EBV infection or recrudescence showed minimal or no skewing of the TCR repertoire, and maintained TCR repertoire diversity. Interestingly, this disparate repertoire showed no correlation with levels of viral load in the peripheral blood. More importantly, we showed that large monoclonal/oligoclonal repertoire expansions was linked to the loss of antigen-specific T cell function observed in SOT patients undergoing symptomatic viral infection or recrudescence, while SOT recipients who maintained peripheral blood TCR repertoire diversity and functional antigen-specific T cell responses could resist clinical symptomatic disease in spite of high levels of viral load. Therefore, the work presented in this thesis provides additional evidence on the factors governing TCR selection in HCMV-exposed healthy individuals, as well as the consequences that perturbation to the TCR repertoire has on the functionality of the T cell compartment in immunocompromised individuals.

The Notch receptor is an evolutionarily highly conserved transmembrane protein essential to a wide spectrum of cellular systems. Notch is especially important to T-cell development, and its deregulation leads to leukemia. Although not well characterized, Notch signaling continues to play an integral role in peripheral T-cells, in which a unique mode of Notch activation can occur. In contrast to canonical Notch activation initiated by adjacent ligand-expressing cells, T-cell receptor (TCR)-stimulation is sufficient to induce robust Notch signaling. However, the interactions between these two pathways have not been defined. In this dissertation, we show that Notch activation occurs in peripheral T-cells within a few hours post TCR-stimulation and is required for optimal T-cell activation. Utilizing a panel of inhibitors against components of the TCR signaling cascade, we demonstrate that Notch activation is facilitated through initiation of protein kinase C-induced ADAM-metalloprotease activity. Moreover, internalization of Notch via endocytosis is indispensible for this process. Whereas ligand-mediated Notch stimulation relies on mechanical pulling forces that disrupt the autoinhibitory domain of Notch, we hypothesized that in T-cells in the absence of ligands, these conformational changes are induced through chemical adjustments in the endosome, causing alleviation of autoinhibition and receptor activation. Our data show that endocytosis is not only a prerequisite for TCR-induced Notch processing during normal T-cell function, but is essential even in Notch-mutated T-leukemia cells exhibiting constitutively active Notch signaling. Our work has also focused on signaling mechanisms of Notch following receptor activation. The Notch signal is transduced via cleavage of the intracellular portion of the receptor that subsequently translocates to the nucleus where it regulates gene transcription via interactions with its DNA-binding partner, RBPJκ. Utilizing RBPJκ-deficient T-cells, we show that, although Notch signaling is required, RBPJκ-dependent signaling is dispensable for peripheral T-cell proliferation and activation. Using retroviral constructs that encode modified, active forms of Notch restricted to the nucleus or cytoplasm, we provide evidence that Notch signaling may utilize RBPJκ-independent pathways for signal transduction. In conclusion, T-cells have evolved a unique method of Notch receptor activation, described for the first time in this dissertation, as well as novel mechanisms that facilitate downstream signaling.

abstract: There are many biological questions that require single-cell analysis of gene sequences, including analysis of clonally distributed dimeric immunoreceptors on lymphocytes (T cells and B cells) and/or the accumulation of driver/accessory mutations in polyclonal tumors. Lysis of bulk cell populations results in mixing of gene sequences, making it impossible to know which pairs of gene sequences originated from any particular cell and obfuscating analysis of rare sequences within large populations. Although current single-cell sorting technologies can be used to address some of these questions, such approaches are expensive, require specialized equipment, and lack the necessary high-throughput capacity for comprehensive analysis. Water-in-oil emulsion approaches for single cell sorting have been developed but droplet-based single-cell lysis and analysis have proven inefficient and yield high rates of false pairings. Ideally, molecular approaches for linking gene sequences from individual cells could be coupled with next-generation high-throughput sequencing to overcome these obstacles, but conventional approaches for linking gene sequences, such as by transfection with bridging oligonucleotides, result in activation of cellular nucleases that destroy the template, precluding this strategy. Recent advances in the synthesis and fabrication of modular deoxyribonucleic acid (DNA) origami nanostructures have resulted in new possibilities for addressing many current and long-standing scientific and technical challenges in biology and medicine. One exciting application of DNA nanotechnology is the intracellular capture, barcode linkage, and subsequent sequence analysis of multiple messenger RNA (mRNA) targets from individual cells within heterogeneous cell populations. DNA nanostructures can be transfected into individual cells to capture and protect mRNA for specific expressed genes, and incorporation of origami-specific bowtie-barcodes into the origami nanostructure facilitates pairing and analysis of mRNA from individual cells by high-throughput next-generation sequencing. This approach is highly modular and can be adapted to virtually any two (and possibly more) gene target sequences, and therefore has a wide range of potential applications for analysis of diverse cell populations such as understanding the relationship between different immune cell populations, development of novel immunotherapeutic antibodies, or improving the diagnosis or treatment for a wide variety of cancers. / Dissertation/Thesis / Doctoral Dissertation Microbiology 2017