Genetics of antigen processing and presentationKelly, Adrian; Trowsdale, John
doi: 10.1007/s00251-018-1082-2pmid: 30215098
Immune response to disease requires coordinated expression of an army of molecules. The highly polymorphic MHC class I and class II molecules are key to control of specificity of antigen presentation. Processing of the antigen, to peptides or other moieties, requires other sets of molecules. For classical class I, this includes TAP peptide transporters, proteasome components and Tapasin, genes which are encoded within the MHC. Similarly, HLA-DO and -DM, which influence presentation by HLA class II molecules, are encoded in the MHC region. Analysis of MHC mutants, including point mutations and large deletions, has been central to understanding the roles of these genes. Mouse genetics has also played a major role. Many other genes have been identified including those controlling expression of HLA class I and class II at the transcriptional level. Another genetic approach that has provided insight has been the analysis of microorganisms, including viruses and bacteria that escape immune recognition by blocking these antigen processing and presentation pathways. Here, we provide a brief history of the genetic approaches, both traditional and modern, that have been used in the quest to understand antigen processing and presentation.
Class II MHC antigen processing in immune tolerance and inflammationJurewicz, Mollie; Stern, Lawrence
doi: 10.1007/s00251-018-1095-xpmid: 30421030
Presentation of peptide antigens by MHC-II proteins is prerequisite to effective CD4 T cell tolerance to self and to recognition of foreign antigens. Antigen uptake and processing pathways as well as expression of the peptide exchange factors HLA-DM and HLA-DO differ among the various professional and non-professional antigen-presenting cells and are modulated by cell developmental state and activation. Recent studies have highlighted the importance of these cell-specific factors in controlling the source and breadth of peptides presented by MHC-II under different conditions. During inflammation, increased presentation of selected self-peptides has implications for maintenance of peripheral tolerance and autoimmunity.
MHC class II fine tuning by ubiquitination: lesson from MARCHsIshido, Satoshi; Kajikawa, Mizuho
doi: 10.1007/s00251-018-1094-ypmid: 30377751
Ubiquitination, a posttranscriptional modification, has been known to contribute to many aspects of cellular event (e.g., protein quality control, signal transduction). In 2007 and 2016, we reported physiological E3 ubiquitin ligases for MHC class II; these are membrane-associated ring-CH-type finger (MARCH)-1 and MARCH-8. Importantly, MARCH-1 and -8 are structurally close to each other, but have different expression profiles. MARCH-1 and -8 are expressed at secondary lymphoid organs and thymic epithelial cells, respectively. These findings suggest contribution of MARCHs to immunological disorders in human; however, its contribution remains to be elucidated. In this review, recent progress on MARCHs will be summarized from molecular and/or immunological point of view and future direction would be discussed.
Contribution of the plasma and lymph Degradome and Peptidome to the MHC LigandomeSantambrogio, Laura; Rammensee, Hans-Georg
doi: 10.1007/s00251-018-1093-zpmid: 30343358
Every biological fluid, blood, interstitial fluid and lymph, urine, saliva, lacrimal fluid, nipple aspirate, and spinal fluid, contains a peptidome-degradome derived from the cellular secretome along with byproducts of the metabolic/catabolic activities of each parenchymal organ. Clement et al. (J Proteomics 78:172–187, 2013), Clement et al. (J Biol Chem 291:5576–5595, 2016), Clement et al. (PLoS One 5:e9863, 2010), Clement et al. (Trends Immunol 32:6–11, 2011), Clement et al. (Front Immunol 4:424, 2013), Geho et al. (Curr Opin Chem Biol 10, 50–55, 2006), Interewicz et al. (Lymphology 37:65‑72, 2004), Leak et al. (Proteomics 4:753‑765, 2004), Popova et al. (PLoS One 9:e110873, 2014), Zhou et al. (Electrophoresis 25:1289‑1298, 2004), D'Alessandro et al. (Shock 42:509‑517, 2014), Dzieciatkowska et al. (Shock 42:485‑498, 2014), Dzieciatkowska et al. (Shock 35:331‑338, 2011), Jordan et al. (J Surg Res 143:130‑135, 2007), Peltz et al. (Surgery 146:347‑357, 2009), Zurawel et al. (Clin Proteomics 8:1, 2011), Ling et al. (Clin Proteomics 6:175‑193, 2010), Sturm et al. (Nat Commun 4:1616, 2013). Over the last decade, qualitative and quantitative analysis of the biological fluids peptidome and degradome have provided a dynamic measurement of tissue homeostasis as well as the tissue response to pathological damage. Proteomic profiling has mapped several of the proteases and resulting degradation by-products derived from cell cycle progression, organ/tissue remodeling and cellular growth, physiological apoptosis, hemostasis, and angiogenesis. Currently, a growing interest lies in the degradome observed during pathological conditions such as cancer, autoimmune diseases, and immune responses to pathogens as a way to exploit biological fluids as liquid biopsies for biomarker discovery Dzieciatkowska et al. (Shock 42:485–498, 2014), Dzieciatkowska et al. (Shock 35:331–338, 2011), Ling et al. (Clin Proteomics 6:175–193, 2010), Ugalde et al. (Methods Mol Biol 622:3–29, 2010), Quesada et al. (Nucleic Acids Res 37:D239‑243, 2009), Cal et al. (Front Biosci 12, 4661–4669, 2007), Shen et al. (PLoS One 5:e13133, 2010a), Antwi et al. (Mol Immunol 46:2931–2937, 2009a), Antwi et al. (J Proteome Res 8:4722‑4731, 2009b), Bedin et al. (J Cell Physiol 231, 915‑925, 2016), Bery et al. (Clin Proteomics 11:13, 2014), Bhalla et al. (Sci Rep 7:1511, 2017), Fan et al. (Diagn Pathol 7:45, 2012a), Fang et al. (Shock 34:291‑298, 2010), Fiedler et al. (Clin Cancer Res 15:3812‑3819, 2009), Fredolini et al. (AAPS J 12:504‑518, 2010), Greening et al. (Enzymes 42:27‑64, 2017), He et al. (PLoS One 8:e63724, 2013), Huang et al. (Int J Gynecol Cancer 28:355‑362, 2018), Hashiguchi et al. (Med Hypotheses 73:760‑763, 2009), Liotta and Petricoin (J Clin Invest 116:26‑30, 2006), Petricoin et al. (Nat Rev Cancer 6:961‑967, 2006), Shen et al. (J Proteome Res 9:2339‑2346, 2010a), Shen et al. (J Proteome Res 5:3154‑3160, 2006), Smith (Clin Proteomics 11:23, 2014), Wang et al. (Oncotarget 8:59376‑59386, 2017), Yang et al. (Clin Exp Med 12:79‑87, 2012a), Yang et al. (J Clin Lab Anal 26:148‑154, 2012b), Yang et al. (Anat Rec (Hoboken) 293:2027‑2033, 2010), Zapico-Muniz et al. (Pancreas 39:1293‑1298, 2010), Villanueva et al. (Mol Cell Proteomics 5:1840‑1852, 2006), Robbins et al. (J Clin Oncol 23:4835‑4837, 2005), Klupczynska et al. (Int J Mol Sci 17:410, 2016). In this review, we focus on the current knowledge of the degradome/peptidome observed in two main biological fluids (plasma and lymph) during physiological and pathological conditions and its importance for immune surveillance.
Thymoproteasome and peptidic selfTakahama, Yousuke; Ohigashi, Izumi; Murata, Shigeo; Tanaka, Keiji
doi: 10.1007/s00251-018-1081-3pmid: 30324237
Positive selection of T cells in the thymus is induced by low-affinity TCR recognition of self-peptide-MHC complexes expressed by cortical thymic epithelial cells (cTECs). cTECs express a specialized type of proteasomes, the thymoproteasome, which generates a unique spectrum of MHC class I-associated peptides and plays a critical role in thymic positive selection of CD8+ T cells. However, it remains unclear how the thymoproteasome contributes to the thymic positive selection. More than 30 years ago, the “peptidic self” hypothesis proposed that TCRs recognize MHC-presented peptides only, without interacting with MHC molecules, which turned out to be incorrect. Interestingly, however, by implying that a set of MHC-associated peptides forms immunological self, this hypothesis also predicted that positive selection in the thymus is the primary immune response to “foreign epitope” peptides during T cell development. The thymoproteasome-dependent unique self-peptides may create those foreign epitope peptides displayed in the thymus for positive selection of T cells.
Thymus-specific serine protease, a protease that shapes the CD4 T cell repertoireGuerder, Sylvie; Hassel, Chervin; Carrier, Alice
doi: 10.1007/s00251-018-1078-ypmid: 30225612
The lifespan of T cells is determined by continuous interactions of their T cell receptors (TCR) with self-peptide-MHC (self-pMHC) complexes presented by different subsets of antigen-presenting cells (APC). In the thymus, developing thymocytes are positively selected through recognition of self-pMHC presented by cortical thymic epithelial cells (cTEC). They are subsequently negatively selected by medullary thymic epithelial cells (mTEC) or thymic dendritic cells (DC) presenting self-pMHC complexes. In the periphery, the homeostasis of mature T cells is likewise controlled by the interaction of their TCR with self-pMHC complexes presented by lymph node stromal cells while they may be tolerized by DC presenting tissue-derived self-antigens. To perform these tasks, the different subsets of APC are equipped with distinct combination of antigen processing enzymes and consequently present specific repertoire of self-peptides. Here, we discuss one such antigen processing enzyme, the thymus-specific serine protease (TSSP), which is predominantly expressed by thymic stromal cells. In thymic DC and TEC, TSSP edits the repertoire of peptide presented by class II molecules and thus shapes the CD4 T cell repertoire.
Ancient features of the MHC class II presentation pathway, and a model for the possible origin of MHC moleculesDijkstra, Johannes; Yamaguchi, Takuya
doi: 10.1007/s00251-018-1090-2pmid: 30377750
Major histocompatibility complex (MHC) molecules are only found in jawed vertebrates and not in more primitive species. MHC class II type structures likely represent the ancestral structure of MHC molecules. Efficient MHC class II transport to endosomal compartments depends on association with a specialized chaperone, the MHC class II invariant chain (aliases Ii or CD74). The present study identifies conserved motifs in the CLIP region of CD74 molecules, used for binding in the MHC class II binding groove, throughout jawed vertebrates. Peculiarly, in CD74a molecules of Ostariophysi, a fish clade including for example Mexican tetra and zebrafish, the CLIP region has duplicated. In mammals, in endosomal compartments, the peptide-free form of classical MHC class II is stabilized by binding to nonclassical MHC class II “DM,” a process that participates in “peptide editing” (selection for high affinity peptides). Hitherto, DM-lineage genes had only been reported from the level of amphibians, but the present study reveals the existence of DMA and DMB genes in lungfish. This is the first study which details how classical and DM lineage molecules have distinguishing glycine-rich motifs in their transmembrane regions. In addition, based on extant MHC class II structures and functions, the present study proposes a model for early MHC evolution, in which, in an ancestral jawed vertebrate, the ancestral MHC molecule derived from a heavy-chain-only antibody type molecule that cycled between the cell surface and endosomal compartments.
On the role of the immunoproteasome in transplant rejectionBasler, Michael; Li, Jun; Groettrup, Marcus
doi: 10.1007/s00251-018-1084-0pmid: 30220008
The immunoproteasome is expressed in cells of hematopoietic origin and is induced during inflammation by IFN-γ. Targeting the immunoproteasome with selective inhibitors has been shown to be therapeutically effective in pre-clinical models for autoimmune diseases, colitis-associated cancer formation, and transplantation. Immunoproteasome inhibition prevents activation and proliferation of lymphocytes, lowers MHC class I cell surface expression, reduces the expression of cytokines of activated immune cells, and curtails T helper 1 and 17 cell differentiation. This might explain the in vivo efficacy of immunoproteasome inhibition in different pre-clinical disease models for autoimmunity, cancer, and transplantation. In this review, we summarize the effect of immunoproteasome inhibition in different animal models for transplantation.