A deterministic model for the processing and presentation of bacteria-derived antigenic peptides

An attempt to construct a (general) mathematical framework to model biological "context-dependence"

Context-dependent nature of biological phenomena is well documented in every branch of biology. While there have been few previous attempts to (implicitly) model various (particular) facets of biological context-dependence, a formal and general mathematical construct to model the wide spectrum of context-dependence, eludes the students of biology. Such an objective model, from both 'bottom-up' as well as 'top-down' perspective, is proposed here to serve as the template to describe the various kinds of context-dependence that we encounter in different branches of biology. Interactions between biological contexts was found to be transitive but non-commutative. It is found that a hierarchical nature of dependence among the biological contexts models the emergent biological properties efficiently. Reasons for these findings are provided in a general model to describe biological reality. Scheme to algorithmically implement the hierarchic structure of organization of biological contexts was proposed with a construct named 'Context tree'. A 'Context tree' based analysis of context interactions among biophysical factors influencing protein structure was performed.

Linkage of bacterial protein synthesis and presentation of MHC class I-restricted Listeria monocytogenes-derived antigenic peptides

The processing and MHC class I-restricted presentation of antigenic peptides derived from the p60 protein of the facultative intracellular bacterium Listeria monocytogenes is tightly linked to bacterial protein synthesis. We used non-linear regression analysis to fit a mathematical model of bacterial antigen processing to a published experimental data set showing the accumulation and decay of p60-derived antigenic peptides in L. monocytogenes-infected cells. Two alternative models equally describe the experimental data. The simulation accounting for a stable and a hypothetical rapidly degraded form of antigen predicts that the antigenic peptides p60 217–225 and p60 449–457 are derived from a putative instable form of p60 with an average intracellular half-life of approximately 3 minutes accounting for approximately 31% of all p60 molecules synthesized. The alternative model predicts that both antigenic peptides are processed from p60 degraded intracellularly with a half-life of 109 min and that antigen processing only occurs as long as bacterial protein synthesis is not inhibited. In order to decide between both models the intracellular accumulation of p60 in infected cells was studied experimentally and compared with model predictions. Inhibition of p60 degradation by the proteasome inhibitor epoxomicin revealed that during the first 3 h post infection approximately 30% of synthesized p60 molecules were degraded. This value is significantly lower than the approximately 50% degradation of p60 that would be expected in the presence of the predicted putative short-lived state of p60 and also fits precisely with the predictions of the alternative model, indicating that the tight connection of bacterial protein biosynthesis and antigen processing and presentation of L. monocyctogenes-derived antigenic peptides is not caused by the presence of a highly instable antigenic substrate.

Diversity of the CD8+ T cell repertoire elicited against an immunodominant epitope does not depend on the context of infection

The diversity of the pathogen-specific T cell repertoire is believed to be important in allowing recognition of different pathogen epitopes and their variants and thereby reducing the opportunities for mutation-driven pathogen escape. However, the extent to which the TCR repertoire can be manipulated by different vaccine strategies so as to obtain broad diversity and optimal protection is incompletely understood. We have investigated the influence of the infectious/inflammatory context on the TCR diversity of the CD8(+) T cell response specific for the immunodominant epitope in C57BL/6 mice, derived from glycoprotein B of HSV-1. To that effect, we compared TCR V segment utilization, CDR3 length, and sequence diversity of the response to natural HSV-1 infection with those elicited by either Listeria monocytogenes or vaccinia virus expressing the immunodominant epitope in C57BL/6 mice. We demonstrate that although the type of infection in which the epitope was encountered can influence the magnitude of the CD8(+) T cell responses, TCR beta-chain repertoires did not significantly differ among the three infections. These results suggest that widely different live vaccine vectors may have little impact upon the diversity of the induced CTL response, which has important implications for the design of live CTL vaccine strategies against acute and chronic infections.

Role of tripeptidyl peptidase II in the processing of Listeria monocytogenes-derived MHC class I-presented antigenic peptides

The effective control of the infection of mice with the facultatively intracellular bacterium Listeria monocytogenes requires CD8 T cells which recognize bacterial antigenic peptides presented in the context of host MHC class I molecules. It is generally accepted that bacterial antigens are processed by the proteasome, a proteolytic cytoplasmic multiprotein complex. We observed that presentation of the L. monocytogenes-derived CD8 T cell epitope LLO 91-99 by infected cells can not be totally suppressed by inhibitors of the proteasome alone. Further analysis revealed that inhibitors of the cytoplasmic tripeptidyl peptidase II suppressed the presentation of the epitopes LLO 91-99 and p60 449-457. While significant suppression of the presentation of LLO 91-99 required the simultaneous inhibition of the proteasome and tripeptidyl peptidase II, presentation of p60 449-457 was suppressed by inhibitors of either the proteasome or TPPII alone. Thus, these data indicate that both, the proteasome and tripeptidyl protease II play a role in the processing of L. monocytogenes-derived antigenic peptides.