Replacement of the membrane proximal region of I-Ad MHC class II molecule with I-E-derived sequences promotes production of an active and stable soluble heterodimer without altering peptide-binding specificity

Changing the landscape of tumor immunology: novel tools to examine T cell specificity

Immunotherapy has established itself as a stalwart arm in patient care and with precision medicine forms the new paradigm in cancer treatment. T cells are an important group of immune cells capable of potent cancer immune surveillance and immunity. The advent of bioinformatics, particularly more recent advances incorporating algorithms employing machine learning, provide a seemingly limitless ability for T cell analysis and hypothesis generation. Such endeavors have become indispensable to research efforts accelerating and evolving to such an extent that there exists an appreciable gap between knowledge and proof of function and application. Exciting new technologies such as DNA barcoding, cytometry by time-of-flight (CyTOF), and peptide-exchangeable pHLA multimers inclusive of rare and difficult HLA alleles offer high-throughput cell-by-cell analytical capabilities. These outstanding recent contributions to T cell research will help close this gap and potentially bring practical benefit to patients.

The utility and limitations of current Web-available algorithms to predict peptides recognized by CD4 T cells in response to pathogen infection

The ability to track CD4 T cells elicited in response to pathogen infection or vaccination is critical because of the role these cells play in protective immunity. Coupled with advances in genome sequencing of pathogenic organisms, there is considerable appeal for implementation of computer-based algorithms to predict peptides that bind to the class II molecules, forming the complex recognized by CD4 T cells. Despite recent progress in this area, there is a paucity of data regarding the success of these algorithms in identifying actual pathogen-derived epitopes. In this study, we sought to rigorously evaluate the performance of multiple Web-available algorithms by comparing their predictions with our results--obtained by purely empirical methods for epitope discovery in influenza that used overlapping peptides and cytokine ELISPOTs--for three independent class II molecules. We analyzed the data in different ways, trying to anticipate how an investigator might use these computational tools for epitope discovery. We come to the conclusion that currently available algorithms can indeed facilitate epitope discovery, but all shared a high degree of false-positive and false-negative predictions. Therefore, efficiencies were low. We also found dramatic disparities among algorithms and between predicted IC(50) values and true dissociation rates of peptide-MHC class II complexes. We suggest that improved success of predictive algorithms will depend less on changes in computational methods or increased data sets and more on changes in parameters used to "train" the algorithms that factor in elements of T cell repertoire and peptide acquisition by class II molecules.

Measurement of peptide dissociation from MHC class II molecules

This unit describes a method of measuring the kinetic stability of complexes formed between purified MHC class II molecules and antigenic N-terminal fluorescein-labeled peptides. An HPLC-SEC allows for the separation of fluoresceinated MHC class II:peptide complexes from excess free dissociating peptides, while the fluorescence detector allows for the quantification of the remaining complexes throughout the dissociation time-course.

Peptide-binding motifs for the I-Ad MHC class II molecule: alternate pH-dependent binding behavior

The ability of peptides to form stable complexes with MHC class II molecules expressed in the host determines their ability to recruit CD4 T cells during an immune response. In this study, we sought to define the features of the antigenic peptides that control their kinetic stability with I-A(d) because of the diversity of peptides that this molecule is known to present. Peptide dissociation assays indicated that each pocket of I-A(d) displays exquisite sensitivity to side chain structure, size, and charge. Most surprising were results related to the P1 pocket, which has been difficult to define by conventional competition assays. Our studies revealed a considerable degree of specificity in the P1 pocket but also an unexpected degree of structural flexibility. Amino acids with neutral side chains such as Met and the alternatively negatively charged Glu are both highly favored at P1. Interestingly, these two options at the P1 pocket in I-A(d) display dramatically different pH-dependent interactions with the class II molecule. These findings are discussed in the context of a structural model to explain these data and in light of the immunological implications of pH-dependent behavior of class II-peptide complexes in acidic endosomal compartments, where DM-catalyzed loading of class II molecules takes place, and at the neutral pH of the APC cell surface, where class II-peptide complexes promote activation of CD4 T cells.

The impact of DM on MHC class II-restricted antigen presentation can be altered by manipulation of MHC-peptide kinetic stability

DM edits the peptide repertoire presented by major histocompatibility complex class II molecules by professional antigen-presenting cells (APCs), favoring presentation of some peptides over others. Despite considerable research by many laboratories, there is still significant uncertainty regarding the biochemical attributes of class II–peptide complexes that govern their susceptibility to DM editing. Here, using APCs that either do or do not express DM and a set of unrelated antigens, we found that the intrinsic kinetic stability of class II–peptide complexes is tightly correlated with the effects of DM editing within APCs. Furthermore, through the use of kinetic stability variants of three independent peptides, we demonstrate that increasing or decreasing the kinetic stability of class II–peptide complexes causes a corresponding alteration in DM editing. Finally, we show that the spontaneous kinetic stability of class II complexes correlates directly with the efficiency of presentation by DM⁺ APCs and the immunodominance of that class II–peptide complex during an immune response. Collectively, these results suggest that the pattern of DM editing in APCs can be intentionally changed by modifying class II–peptide interactions, leading to the desired hierarchy of presentation on APCs, thereby promoting recruitment of CD4 T cells specific for the preferred peptides during an immune response.

The relationship between immunodominance, DM editing, and the kinetic stability of MHC class II:peptide complexes

Immunodominance refers to the restricted antigen specificity of T cells detected in the immune response after immunization with complex antigens. Despite the presence of many potential peptide epitopes within these immunogens, the elicited T-cell response apparently focuses on a very limited number of peptides. Over the last two decades, a number of distinct explanations have been put forth to explain this very restricted specificity of T cells, many of which suggest that endosomal antigen processing restricts the array of peptides available to recruit CD4 T cells. In this review, we present evidence from our laboratory that suggest that immunodominance in CD4 T-cell responses is primarily due to an intrinsic property of the peptide:class II complexes. The intrinsic kinetic stability of peptide:class II complexes controls DM editing within the antigen-presenting cells and thus the initial epitope density on priming dendritic cells. Additionally, we hypothesize that peptides that possess high kinetic stability interactions with class II molecules display persistence at the cell surface over time and will more efficiently promote T-cell signaling and differentiation than competing, lower-stability peptides contained within the antigen. We discuss this model in the context of the existing data in the field of immunodominance.

The kinetic stability of MHC class II:peptide complexes is a key parameter that dictates immunodominance

T cell priming to exogenous antigens reflects regulated antigen processing in dendritic cells, subsequent homing to lymph nodes, sustained interactions between T cells and antigen-bearing dendritic cells, and, ultimately, selective T cell activation and differentiation. In this study, we test the hypothesis that an intrinsic property of the class II:peptide complex is a key determinant that dictates the specificity of an emerging CD4 T cell response. We found that immunodominant peptides possess extremely long half-lives with class II molecules (t(1/2) > 150 hr), whereas cryptic peptides displayed half-lives of less than 10 hr. Furthermore, and most importantly, by using a peptide shuttle vector and four independent antigens, we demonstrate a direct, causative relationship between the half-life of peptide epitopes and their immunogenicity in vivo. Taken collectively, our results suggest the half-life of class II:peptide complexes is the primary parameter that dictates the ultimate hierarchy of the elicited T cell response.