Global Analysis of the Mammalian MHC class I Immunopeptidome at the Organism-Wide Scale

Understanding the molecular principles that govern the composition of the mammalian MHC-I immunopeptidome (MHC-Ii) across different primary tissues is fundamentally important to predict how T cell respond in different contexts in vivo. Here, we performed a global analysis of the mammalian MHC-Ii from 29 and 19 primary human and mouse tissues, respectively. First, we observed that different HLA-A, -B and -C allotypes do not contribute evenly to the global composition of the MHC-Ii across multiple human tissues. Second, we found that peptides that are presented in a tissue-dependent and -independent manner share very distinct properties. Third, we discovered that proteins that are evolutionarily hyperconserved represent the primary source of the MHC-Ii at the organism-wide scale. Finally, we uncovered new components of the antigen processing and presentation network that may drive the high level of heterogeneity of the MHC-Ii across different tissues in mammals. This study opens up new avenues toward a system-wide understanding of antigen presentation in vivo and may serve as ground work to understand tissue-dependent T cell responses in autoimmunity, infectious diseases and cancer.

[1]  H. Rammensee,et al.  HLA Ligand Atlas: a benign reference of HLA-presented peptides to improve T-cell-based cancer immunotherapy , 2021, Journal for ImmunoTherapy of Cancer.

[2]  Jocelyn Kaiser,et al.  A rampage through the body. , 2020, Science.

[3]  M. Mann,et al.  Role for ribosome-associated quality control in sampling proteins for MHC class I-mediated antigen presentation , 2020, Proceedings of the National Academy of Sciences.

[4]  David Haussler,et al.  UCSC Genome Browser enters 20th year , 2019, Nucleic Acids Res..

[5]  Kevin A. Kovalchik,et al.  The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases* , 2019, Molecular & Cellular Proteomics.

[6]  Nicolas Chevrier Decoding the Body Language of Immunity: Tackling the Immune System at the Organism Level. , 2019, Current opinion in systems biology.

[7]  R. Tothill,et al.  An Evolutionarily Conserved Function of Polycomb Silences the MHC Class I Antigen Presentation Pathway and Enables Immune Evasion in Cancer , 2019, Cancer cell.

[8]  Timo Sachsenberg,et al.  MHCquant: Automated and reproducible data analysis for immunopeptidomics. , 2019, Journal of proteome research.

[9]  K. Tsuneyama,et al.  Tissue-specific autoimmunity controlled by Aire in thymic and peripheral tolerance mechanisms , 2019, International immunology.

[10]  P. D. da Fonseca,et al.  Characterization of Fully Recombinant Human 20S and 20S-PA200 Proteasome Complexes , 2019, Molecular cell.

[11]  H. Rammensee,et al.  High-throughput peptide-MHC complex generation and kinetic screenings of TCRs with peptide-receptive HLA-A*02:01 molecules , 2019, Science Immunology.

[12]  M. Parker,et al.  The genetics, structure and function of the M1 aminopeptidase oxytocinase subfamily and their therapeutic potential in immune-mediated disease. , 2019, Human immunology.

[13]  Ngoc Hieu Tran,et al.  Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry , 2018, Nature Methods.

[14]  P. Gendron,et al.  Noncoding regions are the main source of targetable tumor-specific antigens , 2018, Science Translational Medicine.

[15]  M. Kasahara,et al.  The immunoproteasome and thymoproteasome: functions, evolution and human disease , 2018, Nature Immunology.

[16]  Patrick G. A. Pedrioli,et al.  A tissue-based draft map of the murine MHC class I immunopeptidome , 2018, Scientific Data.

[17]  David Gfeller,et al.  Predicting Antigen Presentation—What Could We Learn From a Million Peptides? , 2018, Front. Immunol..

[18]  Mathias Wilhelm,et al.  A deep proteome and transcriptome abundance atlas of 29 healthy human tissues , 2018, bioRxiv.

[19]  Nir Hacohen,et al.  Systems Immunology: Learning the Rules of the Immune System. , 2018, Annual review of immunology.

[20]  C. Coban,et al.  Tissue-specific immunopathology during malaria infection , 2018, Nature Reviews Immunology.

[21]  Calliope A. Dendrou,et al.  HLA variation and disease , 2018, Nature Reviews Immunology.

[22]  E. Stupka,et al.  An RNA-Seq atlas of gene expression in mouse and rat normal tissues , 2017, Scientific Data.

[23]  M. Nielsen,et al.  NetMHCpan-4.0: Improved Peptide–MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data , 2017, The Journal of Immunology.

[24]  R. Tampé,et al.  Structure of the human MHC-I peptide-loading complex , 2017, Nature.

[25]  Markus Müller,et al.  ‘Hotspots’ of Antigen Presentation Revealed by Human Leukocyte Antigen Ligandomics for Neoantigen Prioritization , 2017, Front. Immunol..

[26]  Kenta Nakai,et al.  Organism-Level Analysis of Vaccination Reveals Networks of Protection across Tissues , 2017, Cell.

[27]  Ruedi Aebersold,et al.  A Case for a Human Immuno‐Peptidome Project Consortium , 2017, Immunity.

[28]  P. Parham,et al.  Distinguishing functional polymorphism from random variation in the sequences of >10,000 HLA-A, -B and -C alleles , 2017, PLoS genetics.

[29]  Jennifer G. Abelin,et al.  Mass Spectrometry Profiling of HLA‐Associated Peptidomes in Mono‐allelic Cells Enables More Accurate Epitope Prediction , 2017, Immunity.

[30]  James Robinson,et al.  IPD-MHC 2.0: an improved inter-species database for the study of the major histocompatibility complex , 2016, Nucleic Acids Res..

[31]  S. Lemieux,et al.  MHC class I-associated peptides derive from selective regions of the human genome. , 2016, The Journal of clinical investigation.

[32]  K. Rock,et al.  Present Yourself! By MHC Class I and MHC Class II Molecules. , 2016, Trends in immunology.

[33]  N. Nagarajan,et al.  ERAAP Shapes the Peptidome Associated with Classical and Nonclassical MHC Class I Molecules , 2016, The Journal of Immunology.

[34]  Wanfei Liu,et al.  Identification and analysis of house-keeping and tissue-specific genes based on RNA-seq data sets across 15 mouse tissues. , 2016, Gene.

[35]  M. Del Val,et al.  Proteolytic enzymes involved in MHC class I antigen processing: A guerrilla army that partners with the proteasome. , 2015, Molecular immunology.

[36]  Etienne Caron,et al.  Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry* , 2015, Molecular & Cellular Proteomics.

[37]  D. Tscharke,et al.  Sizing up the key determinants of the CD8+ T cell response , 2015, Nature Reviews Immunology.

[38]  Alessandro Sette,et al.  An open-source computational and data resource to analyze digital maps of immunopeptidomes , 2015, eLife.

[39]  C. Perreault,et al.  The nature of self for T cells-a systems-level perspective. , 2015, Current opinion in immunology.

[40]  Eilon Barnea,et al.  Endoplasmic Reticulum Aminopeptidase 1 (ERAP1) Polymorphism Relevant to Inflammatory Disease Shapes the Peptidome of the Birdshot Chorioretinopathy-Associated HLA-A*29:02 Antigen* , 2015, Molecular & Cellular Proteomics.

[41]  L. Jensen,et al.  Mass Spectrometry of Human Leukocyte Antigen Class I Peptidomes Reveals Strong Effects of Protein Abundance and Turnover on Antigen Presentation* , 2015, Molecular & Cellular Proteomics.

[42]  Arie Admon,et al.  The nature and extent of contributions by defective ribosome products to the HLA peptidome , 2014, Proceedings of the National Academy of Sciences.

[43]  Hao Sun,et al.  Sebnif: An Integrated Bioinformatics Pipeline for the Identification of Novel Large Intergenic Noncoding RNAs (lincRNAs) - Application in Human Skeletal Muscle Cells , 2014, PloS one.

[44]  Ilan Beer,et al.  The Effect of Proteasome Inhibition on the Generation of the Human Leukocyte Antigen (HLA) Peptidome* , 2013, Molecular & Cellular Proteomics.

[45]  M. Mann,et al.  Initial Quantitative Proteomic Map of 28 Mouse Tissues Using the SILAC Mouse* , 2013, Molecular & Cellular Proteomics.

[46]  C. Perreault,et al.  Origin and plasticity of MHC I-associated self peptides. , 2012, Autoimmunity reviews.

[47]  Sébastien Lemieux,et al.  MHC I-associated peptides preferentially derive from transcripts bearing miRNA response elements. , 2012, Blood.

[48]  K. Hogquist,et al.  T-cell tolerance: central and peripheral. , 2012, Cold Spring Harbor perspectives in biology.

[49]  Ricarda Schwab,et al.  Immuno- and Constitutive Proteasome Crystal Structures Reveal Differences in Substrate and Inhibitor Specificity , 2012, Cell.

[50]  K. Rock,et al.  Mice completely lacking immunoproteasomes display major alterations in antigen presentation , 2011, Nature Immunology.

[51]  J. Neefjes,et al.  Towards a systems understanding of MHC class I and MHC class II antigen presentation , 2011, Nature Reviews Immunology.

[52]  S. Billet,et al.  The carboxypeptidase ACE shapes the MHC class I peptide repertoire , 2011, Nature Immunology.

[53]  P. Cresswell,et al.  A Genome-wide Multidimensional RNAi Screen Reveals Pathways Controlling MHC Class II Antigen Presentation , 2011, Cell.

[54]  Sébastien Lemieux,et al.  Deletion of Immunoproteasome Subunits Imprints on the Transcriptome and Has a Broad Impact on Peptides Presented by Major Histocompatibility Complex I molecules* , 2010, Molecular & Cellular Proteomics.

[55]  Robert Gentleman,et al.  rtracklayer: an R package for interfacing with genome browsers , 2009, Bioinform..

[56]  J. Castle,et al.  Definition, conservation and epigenetics of housekeeping and tissue-enriched genes , 2009, BMC Genomics.

[57]  Jun Yu,et al.  On the nature of human housekeeping genes. , 2008, Trends in genetics : TIG.

[58]  S. Billet,et al.  Expression of Angiotensin-converting Enzyme Changes Major Histocompatibility Complex Class I Peptide Presentation by Modifying C Termini of Peptide Precursors* , 2008, Journal of Biological Chemistry.

[59]  Sébastien Lê,et al.  FactoMineR: An R Package for Multivariate Analysis , 2008 .

[60]  E. Caron,et al.  The MHC class I peptide repertoire is molded by the transcriptome , 2008, The Journal of experimental medicine.

[61]  K. Rock,et al.  Leucine Aminopeptidase Is Not Essential for Trimming Peptides in the Cytosol or Generating Epitopes for MHC Class I Antigen Presentation1 , 2005, The Journal of Immunology.

[62]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[63]  D. Haussler,et al.  Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. , 2005, Genome research.

[64]  Jacques Neefjes,et al.  A major role for TPPII in trimming proteasomal degradation products for MHC class I antigen presentation. , 2004, Immunity.

[65]  J. Yewdell,et al.  Making sense of mass destruction: quantitating MHC class I antigen presentation , 2003, Nature Reviews Immunology.

[66]  David Haussler,et al.  Combining phylogenetic and hidden Markov models in biosequence analysis , 2003, RECOMB '03.

[67]  A. Goldberg,et al.  The cytosolic endopeptidase, thimet oligopeptidase, destroys antigenic peptides and limits the extent of MHC class I antigen presentation. , 2003, Immunity.

[68]  N. Shastri,et al.  ERAAP customizes peptides for MHC class I molecules in the endoplasmic reticulum , 2002, Nature.

[69]  J. Neefjes,et al.  The major substrates for TAP in vivo are derived from newly synthesized proteins , 2000, Nature.

[70]  C. Conn,et al.  The complete primary structure of mouse 20S proteasomes , 1999, Immunogenetics.

[71]  A. Barclay,et al.  MHC Class I , 1997 .

[72]  J. Yewdell,et al.  Expression of a membrane protease enhances presentation of endogenous antigens to MHC class I-restricted T lymphocytes , 1992, Cell.

[73]  H. Rammensee,et al.  Allele-specific motifs revealed by sequencing of self-peptides eluted from MHC molecules , 1991, Nature.