Skip to main content
SpringerLink
Log in

Immunoproteomics Methods and Techniques

  • Protocol
  • First Online:
Immunoproteomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2024))

Abstract

The varied landscape of the adaptive immune response is determined by the peptides presented by immune cells, derived from viral or microbial pathogens or cancerous cells. The study of immune biomarkers or antigens is not new, and classical methods such as agglutination, enzyme-linked immunosorbent assay, or Western blotting have been used for many years to study the immune response to vaccination or disease. However, in many of these traditional techniques, protein or peptide identification has often been the bottleneck. Recent progress in genomics and mass spectrometry have led to many of the rapid advances in proteomics approaches. Immunoproteomics describes a rapidly growing collection of approaches that have the common goal of identifying and measuring antigenic peptides or proteins. This includes gel-based, array-based, mass spectrometry-based, DNA-based, or in silico approaches. Immunoproteomics is yielding an understanding of disease and disease progression, vaccine candidates, and biomarkers. This review gives an overview of immunoproteomics and closely related technologies that are used to define the full set of protein antigens targeted by the immune system during disease.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Jungblut PR (2001) Proteome analysis of bacterial pathogens. Microbes Infect 3:831–840

    Article  CAS  PubMed  Google Scholar 

  2. Aebersold R, Mann M (2003) Mass spectrometry-based proteomics. Nature 422:198–207

    Article  CAS  PubMed  Google Scholar 

  3. Bantscheff M, Lemeer S, Savitski MM, Kuster B (2012) Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present. Anal Bioanal Chem 404:939–965

    Article  CAS  PubMed  Google Scholar 

  4. Tabb DL, Vega-Montoto L, Rudnick PA et al (2009) Repeatability and reproducibility in proteomic identifications by liquid chromatography-tandem mass spectrometry. J Proteome Res 9:761–776

    Article  CAS  Google Scholar 

  5. Venable JD, Dong M-Q, Wohlschlegel J et al (2004) Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra. Nat Methods 1:39–45

    Article  CAS  PubMed  Google Scholar 

  6. Gillet LC, Navarro P, Tate S et al (2012) Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis. Mol Cell Proteomics 11:O111.016717

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Lange V, Picotti P, Domon B, Aebersold R (2008) Selected reaction monitoring for quantitative proteomics: a tutorial. Mol Syst Biol 4:222

    Article  PubMed  PubMed Central  Google Scholar 

  8. Picotti P, Rinner O, Stallmach R et al (2010) High-throughput generation of selected reaction-monitoring assays for proteins and proteomes. Nat Methods 7:43–46

    Article  CAS  PubMed  Google Scholar 

  9. Westermeier R (2016) Electrophoresis in practice: a guide to methods and applications of DNA and protein separations. Wiley, Hoboken, NJ

    Book  Google Scholar 

  10. Pajuaba ACAM, Silva DAO, Almeida KC et al (2012) Immunoproteomics of Brucella abortus reveals differential antibody profiles between S19-vaccinated and naturally infected cattle. Proteomics 12:820–831

    Article  CAS  PubMed  Google Scholar 

  11. Cha HJ, Yoon HG, Kim YW et al (1998) Molecular and enzymatic characterization of a maltogenic amylase that hydrolyzes and transglycosylates acarbose. Eur J Biochem 253:251–262

    Article  CAS  PubMed  Google Scholar 

  12. Hamrita B, Chahed K, Kabbage M et al (2008) Identification of tumor antigens that elicit a humoral immune response in breast cancer patients’ sera by serological proteome analysis (SERPA). Clin Chim Acta 393:95–102

    Article  CAS  PubMed  Google Scholar 

  13. Li L, Chen S-H, Yu C-H et al (2008) Identification of hepatocellular-carcinoma-associated antigens and autoantibodies by serological proteome analysis combined with protein microarray. J Proteome Res 7:611–620

    Article  CAS  PubMed  Google Scholar 

  14. Forgber M, Gellrich S, Sharav T et al (2009) Proteome-based analysis of serologically defined tumor-associated antigens in cutaneous lymphoma. PLoS One 4:e8376

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. Forgber M, Trefzer U, Sterry W, Walden P (2009) Proteome serological determination of tumor-associated antigens in melanoma. PLoS One 4:e5199

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. Mou Z, He Y, Wu Y (2009) Immunoproteomics to identify tumor-associated antigens eliciting humoral response. Cancer Lett 278:123–129

    Article  CAS  PubMed  Google Scholar 

  17. Shukla S, Pranay A, D’Cruz AK et al (2009) Immunoproteomics reveals that cancer of the tongue and the gingivobuccal complex exhibit differential autoantibody response. Cancer Biomark 5:127–135

    Article  CAS  PubMed  Google Scholar 

  18. Liu R, Wang K, Yuan K et al (2010) Integrative oncoproteomics strategies for anticancer drug discovery. Expert Rev Proteomics 7:411–429

    Article  CAS  PubMed  Google Scholar 

  19. Suzuki A, Iizuka A, Komiyama M et al (2010) Identification of melanoma antigens using a Serological Proteome Approach (SERPA). Cancer Genomics Proteomics 7:17–23

    CAS  PubMed  Google Scholar 

  20. Mojtahedi Z, Safaei A, Yousefi Z, Ghaderi A (2011) Immunoproteomics of HER2-positive and HER2-negative breast cancer patients with positive lymph nodes. OMICS 15:409–418

    Article  CAS  PubMed  Google Scholar 

  21. O’Meara MM, Disis ML (2011) Therapeutic cancer vaccines and translating vaccinomics science to the global health clinic: emerging applications toward proof of concept. OMICS 15:579–588

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. Almeras L, Lefranc D, Drobecq H et al (2004) New antigenic candidates in multiple sclerosis: identification by serological proteome analysis. Proteomics 4:2184–2194

    Article  CAS  PubMed  Google Scholar 

  23. Gupta S, Manubhai KP, Mukherjee S, Srivastava S (2017) Serum profiling for identification of autoantibody signatures in diseases using protein microarrays. Methods Mol Biol 1619:303–315

    Article  CAS  PubMed  Google Scholar 

  24. Fang Y, Frutos AG, Lahiri J (2002) Membrane protein microarrays. J Am Chem Soc 124:2394–2395

    Article  CAS  PubMed  Google Scholar 

  25. Shin I, Cho JW, Boo DW (2004) Carbohydrate arrays for functional studies of carbohydrates. Comb Chem High Throughput Screen 7:565–574

    Article  CAS  PubMed  Google Scholar 

  26. Davies DH, Liang X, Hernandez JE et al (2005) Profiling the humoral immune response to infection by using proteome microarrays: high-throughput vaccine and diagnostic antigen discovery. Proc Natl Acad Sci U S A 102:547–552

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Eyles JE, Unal B, Hartley MG et al (2007) Immunodominant Francisella tularensis antigens identified using proteome microarray. Proteomics 7:2172–2183

    Article  CAS  PubMed  Google Scholar 

  28. Sundaresh S, Doolan DL, Hirst S et al (2006) Identification of humoral immune responses in protein microarrays using DNA microarray data analysis techniques. Bioinformatics 22:1760–1766

    Article  CAS  PubMed  Google Scholar 

  29. Díez P, Dasilva N, González-González M et al (2012) Data analysis strategies for protein microarrays. Microarrays (Basel) 1:64–83

    Article  Google Scholar 

  30. Davies DH, Molina DM, Wrammert J et al (2007) Proteome-wide analysis of the serological response to vaccinia and smallpox. Proteomics 7:1678–1686

    Article  CAS  PubMed  Google Scholar 

  31. Benhnia MR-E-I, Maybeno M, Blum D et al (2013) Unusual features of vaccinia virus extracellular virion form neutralization resistance revealed in human antibody responses to the smallpox vaccine. J Virol 87:1569–1585

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  32. Pugh C, Keasey S, Korman L, Pittman PR (2014) Human antibody responses to the polyclonal Dryvax vaccine for smallpox prevention can be distinguished from responses to the monoclonal replacement vaccine ACAM2000. Clin Vaccine Immunol 21(6):877–885

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  33. Cruz-Fisher MI, Cheng C, Sun G et al (2011) Identification of immunodominant antigens by probing a whole Chlamydia trachomatis open reading frame proteome microarray using sera from immunized mice. Infect Immun 79:246–257

    Article  CAS  PubMed  Google Scholar 

  34. Teng A, Cruz-Fisher MI, Cheng C et al (2012) Proteomic identification of immunodominant chlamydial antigens in a mouse model. J Proteome 77:176–186

    Article  CAS  Google Scholar 

  35. Kunnath-Velayudhan S, Salamon H, Wang H-Y et al (2010) Dynamic antibody responses to the Mycobacterium tuberculosis proteome. Proc Natl Acad Sci U S A 107:14703–14708

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Kunnath-Velayudhan S, Davidow AL, Wang H-Y et al (2012) Proteome-scale antibody responses and outcome of Mycobacterium tuberculosis infection in nonhuman primates and in tuberculosis patients. J Infect Dis 206:697–705

    Article  PubMed  PubMed Central  Google Scholar 

  37. Cao SH, Chen YQ, Sun Y et al (2018) Screening of serum biomarkers for distinguishing between latent and active tuberculosis using proteome microarray. Biomed Environ Sci 31:515–526

    PubMed  Google Scholar 

  38. Deng J, Bi L, Zhou L et al (2014) Mycobacterium tuberculosis proteome microarray for global studies of protein function and immunogenicity. Cell Rep 9:2317–2329

    Article  CAS  PubMed  Google Scholar 

  39. Suwannasaen D, Mahawantung J, Chaowagul W et al (2011) Human immune responses to Burkholderia pseudomallei characterized by protein microarray analysis. J Infect Dis 203:1002–1011

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Barbour AG, Jasinskas A, Kayala MA et al (2008) A genome-wide proteome array reveals a limited set of immunogens in natural infections of humans and white-footed mice with Borrelia burgdorferi. Infect Immun 76:3374–3389

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Sundaresh S, Randall A, Unal B et al (2007) From protein microarrays to diagnostic antigen discovery: a study of the pathogen Francisella tularensis. Bioinformatics 23:i508–i518

    Article  CAS  PubMed  Google Scholar 

  42. Barry AE, Trieu A, Fowkes FJI et al (2011) The stability and complexity of antibody responses to the major surface antigen of Plasmodium falciparum are associated with age in a malaria endemic area. Mol Cell Proteomics 10:M111.008326

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  43. Nnedu ON, O’Leary MP, Mutua D et al (2011) Humoral immune responses to Plasmodium falciparum among HIV-1-infected Kenyan adults. Proteomics Clin Appl 5:613–623

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Fan Y-T, Wang Y, Ju C et al (2013) Systematic analysis of natural antibody responses to P. falciparum merozoite antigens by protein arrays. J Proteome 78:148–158

    Article  CAS  Google Scholar 

  45. Doolan DL, Mu Y, Unal B et al (2008) Profiling humoral immune responses to P. falciparum infection with protein microarrays. Proteomics 8:4680–4694

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Zheng D, Wan J, Cho YG et al (2011) Comparison of humoral immune responses to Epstein-Barr virus and Kaposi’s sarcoma–associated herpesvirus using a viral proteome microarray. J Infect Dis 204:1683–1691

    Article  CAS  PubMed  Google Scholar 

  47. Liu Z, Coghill AE, Pfeiffer RM et al (2018) Patterns of interindividual variability in the antibody repertoire targeting proteins across the Epstein-Barr virus proteome. J Infect Dis 217:1923–1931

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Dasgupta G, Chentoufi AA, Kalantari M et al (2012) Immunodominant “asymptomatic” herpes simplex virus 1 and 2 protein antigens identified by probing whole-ORFome microarrays with serum antibodies from seropositive asymptomatic versus symptomatic individuals. J Virol 86:4358–4369

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Kalantari-Dehaghi M, Chun S, Chentoufi AA et al (2012) Discovery of potential diagnostic and vaccine antigens in herpes simplex virus 1 and 2 by proteome-wide antibody profiling. J Virol 86:4328–4339

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Pérez-Bercoff L, Valentini D, Gaseitsiwe S et al (2014) Whole CMV proteome pattern recognition analysis after HSCT identifies unique epitope targets associated with the CMV status. PLoS One 9:e89648

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  51. Conejero L, Patel N, de Reynal M et al (2011) Low-dose exposure of C57BL/6 mice to Burkholderia pseudomallei mimics chronic human melioidosis. Am J Pathol 179:270–280

    Article  PubMed  PubMed Central  Google Scholar 

  52. Cannella AP, Tsolis RM, Liang L et al (2012) Antigen-specific acquired immunity in human brucellosis: implications for diagnosis, prognosis, and vaccine development. Front Cell Infect Microbiol 2:1

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  53. Lee S-J, Liang L, Juarez S et al (2012) Identification of a common immune signature in murine and human systemic Salmonellosis. Proc Natl Acad Sci U S A 109:4998–5003

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Darton TC, Baker S, Randall A et al (2017) Identification of novel serodiagnostic signatures of typhoid fever using a Salmonella proteome array. Front Microbiol 8:1794

    Article  PubMed  PubMed Central  Google Scholar 

  55. Liang L, Juarez S, Nga TVT et al (2013) Immune profiling with a Salmonella Typhi antigen microarray identifies new diagnostic biomarkers of human typhoid. Sci Rep 3:1043

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  56. Beare PA, Chen C, Bouman T et al (2008) Candidate antigens for Q fever serodiagnosis revealed by immunoscreening of a Coxiella burnetii protein microarray. Clin Vaccine Immunol 15:1771–1779

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Vigil A, Chen C, Jain A et al (2011) Profiling the humoral immune response of acute and chronic Q fever by protein microarray. Mol Cell Proteomics 10:M110.006304

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  58. Xiong X, Wang X, Wen B et al (2012) Potential serodiagnostic markers for Q fever identified in Coxiella burnetii by immunoproteomic and protein microarray approaches. BMC Microbiol 12:35

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Liang L, Döşkaya M, Juarez S et al (2011) Identification of potential serodiagnostic and subunit vaccine antigens by antibody profiling of toxoplasmosis cases in Turkey. Mol Cell Proteomics 10:M110.006916

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  60. Legutki JB, Johnston SA (2013) Immunosignatures can predict vaccine efficacy. Proc Natl Acad Sci U S A 110:18614–18619

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. de Assis RR, Ludolf F, Nakajima R et al (2016) A next-generation proteome array for Schistosoma mansoni. Int J Parasitol 46:411–415

    Article  PubMed  CAS  Google Scholar 

  62. Zhang A, Xiu B, Zhang H, Li N (2016) Protein microarray-mediated detection of antienterovirus antibodies in serum. J Int Med Res 44:287–296

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Runina AV, Katunin GL, Filippova MA et al (2018) Immunochip for syphilis serodiagnostics with the use of extended array of Treponema pallidum recombinant antigens. Bull Exp Biol Med 165:767–771

    Article  CAS  PubMed  Google Scholar 

  64. Duarte JG, Blackburn JM (2017) Advances in the development of human protein microarrays. Expert Rev Proteomics 14:627–641

    Article  CAS  PubMed  Google Scholar 

  65. Schweitzer B, Meng L, Mattoon D, Rai AJ (2010) Immune response biomarker profiling application on ProtoArray® protein microarrays. In: Rai AJ (ed) The urinary proteome: methods and protocols. Humana, Totowa, NJ, pp 243–252

    Chapter  Google Scholar 

  66. Creaney J, Dick IM, Musk AWB et al (2016) Immune response profiling of malignant pleural mesothelioma for diagnostic and prognostic biomarkers. Biomarkers 21:551–561

    Article  CAS  PubMed  Google Scholar 

  67. Yang L, Wang J, Li J et al (2016) Identification of serum biomarkers for gastric cancer diagnosis using a human proteome microarray. Mol Cell Proteomics 15:614–623

    Article  CAS  PubMed  Google Scholar 

  68. Ayoglu B, Schwenk JM, Nilsson P (2016) Antigen arrays for profiling autoantibody repertoires. Bioanalysis 8:1105–1126

    Article  CAS  PubMed  Google Scholar 

  69. Hakomori S (2002) Glycosylation defining cancer malignancy: new wine in an old bottle. Proc Natl Acad Sci U S A 99:10231–10233

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Coenen D, Verschueren P, Westhovens R, Bossuyt X (2007) Technical and diagnostic performance of 6 assays for the measurement of citrullinated protein/peptide antibodies in the diagnosis of rheumatoid arthritis. Clin Chem 53:498–504

    Article  CAS  PubMed  Google Scholar 

  71. Hiki Y (2009) O-linked oligosaccharides of the IgA1 hinge region: roles of its aberrant structure in the occurrence and/or progression of IgA nephropathy. Clin Exp Nephrol 13:415–423

    Article  CAS  PubMed  Google Scholar 

  72. Schietinger A, Philip M, Yoshida BA et al (2006) A mutant chaperone converts a wild-type protein into a tumor-specific antigen. Science 314:304–308

    Article  CAS  PubMed  Google Scholar 

  73. Wandall HH, Blixt O, Tarp MA et al (2010) Cancer biomarkers defined by autoantibody signatures to aberrant O-glycopeptide epitopes. Cancer Res 70:1306–1313

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Rillahan CD, Paulson JC (2011) Glycan microarrays for decoding the glycome. Annu Rev Biochem 80:797–823

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Geissner A, Pereira CL, Leddermann M et al (2016) Deciphering antigenic determinants of Streptococcus pneumoniae serotype 4 capsular polysaccharide using synthetic oligosaccharides. ACS Chem Biol 11:335–344

    Article  CAS  PubMed  Google Scholar 

  76. Padler-Karavani V (2016) Glycan microarray reveal the sweet side of cancer vaccines. Cell Chem Biol 23:1446–1447

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Smorodin EP, Kurtenkov OA, Shevchuk IN, Tanner RH (2005) The isolation and characterization of human natural alphaGal-specific IgG antibodies applicable to the detection of alphaGal-glycosphingolipids. J Immunoassay Immunochem 26:145–156

    Article  CAS  PubMed  Google Scholar 

  78. Cheever MA, Allison JP, Ferris AS et al (2009) The prioritization of cancer antigens: a National Cancer Institute pilot project for the acceleration of translational research. Clin Cancer Res 15:5323–5337

    Article  PubMed  PubMed Central  Google Scholar 

  79. Reis CA, David L, Seixas M et al (1998) Expression of fully and under-glycosylated forms of MUC1 mucin in gastric carcinoma. Int J Cancer 79:402–410

    Article  CAS  PubMed  Google Scholar 

  80. Brockhausen I (1999) Pathways of O-glycan biosynthesis in cancer cells. Biochim Biophys Acta 1473:67–95

    Article  CAS  PubMed  Google Scholar 

  81. Goldstein DM, Gray NS, Zarrinkar PP (2008) High-throughput kinase profiling as a platform for drug discovery. Nat Rev Drug Discov 7:391–397

    Article  CAS  PubMed  Google Scholar 

  82. Blixt O, Cló E, Nudelman AS et al (2011) A high-throughput O-glycopeptide discovery platform for seromic profiling. J Proteome Res 10:1436

    Article  CAS  Google Scholar 

  83. Kracun SK, Cló E, Clausen H et al (2010) Random glycopeptide bead libraries for seromic biomarker discovery. J Proteome Res 9:6705–6714

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  84. Pedersen JW, Blixt O, Bennett EP et al (2011) Seromic profiling of colorectal cancer patients with novel glycopeptide microarray. Int J Cancer 128:1860–1871

    Article  CAS  PubMed  Google Scholar 

  85. Burford B, Gentry-Maharaj A, Graham R et al (2013) Autoantibodies to MUC1 glycopeptides cannot be used as a screening assay for early detection of breast, ovarian, lung or pancreatic cancer. Br J Cancer 108:2045–2055

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. Pedersen JW, Gentry-Maharaj A, Nøstdal A et al (2014) Cancer-associated autoantibodies to MUC1 and MUC4—a blinded case–control study of colorectal cancer in UK collaborative trial of ovarian cancer screening. Int J Cancer 134:2180–2188

    Article  CAS  PubMed  Google Scholar 

  87. Chow JC, Young DW, Golenbock DT et al (1999) Toll-like receptor-4 mediates lipopolysaccharide-induced signal transduction. J Biol Chem 274:10689–10692

    Article  CAS  PubMed  Google Scholar 

  88. Poltorak A, Ricciardi-Castagnoli P, Citterio S, Beutler B (2000) Physical contact between lipopolysaccharide and Toll-like receptor 4 revealed by genetic complementation. Proc Natl Acad Sci U S A 97:2163–2167

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  89. Girardin SE, Boneca IG, Viala J et al (2003) Nod2 is a general sensor of peptidoglycan through muramyl dipeptide (MDP) detection. J Biol Chem 278:8869–8872

    Article  CAS  PubMed  Google Scholar 

  90. Girardin SE, Hugot JP, Sansonetti PJ (2003) Lessons from Nod2 studies: towards a link between Crohn’s disease and bacterial sensing. Trends Immunol 24:652–658

    Article  CAS  PubMed  Google Scholar 

  91. Girardin SE, Travassos LH, Hervé M et al (2003) Peptidoglycan molecular requirements allowing detection by Nod1 and Nod2. J Biol Chem 278:41702–41708

    Article  CAS  PubMed  Google Scholar 

  92. Girardin SE, Boneca IG, Carneiro LAM et al (2003) Nod1 detects a unique muropeptide from gram-negative bacterial peptidoglycan. Science 300:1584–1587

    Article  CAS  PubMed  Google Scholar 

  93. Verma A, Arora SK, Kuravi SK, Ramphal R (2005) Roles of specific amino acids in the N terminus of Pseudomonas aeruginosa flagellin and of flagellin glycosylation in the innate immune response. Infect Immun 73:8237–8246

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  94. Doig P, Kinsella N, Guerry P, Trust TJ (1996) Characterization of a post-translational modification of Campylobacter flagellin: identification of a sero-specific glycosyl moiety. Mol Microbiol 19:379–387

    Article  CAS  PubMed  Google Scholar 

  95. Horn C, Namane A, Pescher P et al (1999) Decreased capacity of recombinant 45/47-kDa molecules (Apa) of Mycobacterium tuberculosis to stimulate T lymphocyte responses related to changes in their mannosylation pattern. J Biol Chem 274:32023–32030

    Article  CAS  PubMed  Google Scholar 

  96. Romain F, Horn C, Pescher P et al (1999) Deglycosylation of the 45/47-kilodalton antigen complex of Mycobacterium tuberculosis decreases its capacity to elicit in vivo or in vitro cellular immune responses. Infect Immun 67:5567–5572

    CAS  PubMed  PubMed Central  Google Scholar 

  97. Logan SM, Kelly JF, Thibault P et al (2002) Structural heterogeneity of carbohydrate modifications affects serospecificity of Campylobacter flagellins. Mol Microbiol 46:587–597

    Article  CAS  PubMed  Google Scholar 

  98. Mehta AS, Saile E, Zhong W et al (2006) Synthesis and antigenic analysis of the BclA glycoprotein oligosaccharide from the Bacillus anthracis exosporium. Chemistry 12:9136–9149

    Article  CAS  PubMed  Google Scholar 

  99. Wang D, Carroll GT, Turro NJ et al (2007) Photogenerated glycan arrays identify immunogenic sugar moieties of Bacillus anthracis exosporium. Proteomics 7:180–184

    Article  PubMed  CAS  Google Scholar 

  100. Dhénin SGY, Moreau V, Morel N et al (2008) Synthesis of an anthrose derivative and production of polyclonal antibodies for the detection of anthrax spores. Carbohydr Res 343:2101–2110

    Article  PubMed  CAS  Google Scholar 

  101. Dhénin SGY, Moreau V, Nevers M-C et al (2009) Sensitive and specific enzyme immunoassays for antigenic trisaccharide from Bacillus anthracis spores. Org Biomol Chem 7:5184–5199

    Article  PubMed  CAS  Google Scholar 

  102. Geissner A, Anish C, Seeberger PH (2014) Glycan arrays as tools for infectious disease research. Curr Opin Chem Biol 18:38–45

    Article  CAS  PubMed  Google Scholar 

  103. Martin CE, Broecker F, Eller S et al (2013) Glycan arrays containing synthetic Clostridium difficile lipoteichoic acid oligomers as tools toward a carbohydrate vaccine. Chem Commun 49:7159–7161

    Article  CAS  Google Scholar 

  104. Shivatare SS, Shivatare VS, Wu C-Y, Wong C-H (2018) Chemo-enzymatic synthesis of N-glycans for array development and HIV antibody profiling. J Vis Exp. https://doi.org/10.3791/55855

  105. Ménová P, Sella M, Sellrie K et al (2018) Identification of the minimal glycotope of Streptococcus pneumoniae 7F capsular polysaccharide using synthetic oligosaccharides. Chemistry 24:4181–4187

    Article  PubMed  CAS  Google Scholar 

  106. Lee S-Y, Jeoung D (2007) The reverse proteomics for identification of tumor antigens. J Microbiol Biotechnol 17:879–890

    CAS  PubMed  Google Scholar 

  107. Sahin U, Türeci O, Pfreundschuh M (1997) Serological identification of human tumor antigens. Curr Opin Immunol 9:709–716

    Article  CAS  PubMed  Google Scholar 

  108. Scanlan MJ, Gordan JD, Williamson B et al (1999) Antigens recognized by autologous antibody in patients with renal-cell carcinoma. Int J Cancer 83:456–464

    Article  CAS  PubMed  Google Scholar 

  109. Scanlan MJ, Gout I, Gordon CM et al (2001) Humoral immunity to human breast cancer: antigen definition and quantitative analysis of mRNA expression. Cancer Immun 1:4

    CAS  PubMed  Google Scholar 

  110. Vitale M (2013) SEREX: a promising approach for identification of thyroid cancer serological biomarkers. Clin Endocrinol 79:12–13

    Article  Google Scholar 

  111. Koroleva EP, Lagarkova MA, Mesheryakov AA et al (2002) Serological identification of antigens associated with renal cell carcinoma. Russ J Immunol 7:229–238

    PubMed  Google Scholar 

  112. Devitt G, Meyer C, Wiedemann N et al (2006) Serological analysis of human renal cell carcinoma. Int J Cancer 118:2210–2219

    Article  CAS  PubMed  Google Scholar 

  113. Kobayashi S, Hiwasa T, Arasawa T et al (2018) Identification of specific and common diagnostic antibody markers for gastrointestinal cancers by SEREX screening using testis cDNA phage library. Oncotarget 9:18559–18569

    PubMed  PubMed Central  Google Scholar 

  114. Scanlan MJ, Chen YT, Williamson B et al (1998) Characterization of human colon cancer antigens recognized by autologous antibodies. Int J Cancer 76:652–658

    Article  CAS  PubMed  Google Scholar 

  115. Line A, Slucka Z, Stengrevics A et al (2002) Characterisation of tumour-associated antigens in colon cancer. Cancer Immunol Immunother 51:574–582

    Article  CAS  PubMed  Google Scholar 

  116. Ishikawa T, Fujita T, Suzuki Y et al (2003) Tumor-specific immunological recognition of frameshift-mutated peptides in colon cancer with microsatellite instability. Cancer Res 63:5564–5572

    CAS  PubMed  Google Scholar 

  117. Garifulin OM, Kykot VO, Gridina NY et al (2015) Application of serex-analysis for identification of human colon cancer antigens. Exp Oncol 37:173–180

    Article  CAS  PubMed  Google Scholar 

  118. Obata Y, Takahashi T, Tamaki H et al (1999) Identification of cancer antigens in breast cancer by the SEREX expression cloning method. Breast Cancer 6:305–311

    Article  CAS  PubMed  Google Scholar 

  119. Forti S, Scanlan MJ, Invernizzi A et al (2002) Identification of breast cancer-restricted antigens by antibody screening of SKBR3 cDNA library using a preselected patient’s serum. Breast Cancer Res Treat 73:245–256

    Article  PubMed  Google Scholar 

  120. Jäger D, Unkelbach M, Frei C et al (2002) Identification of tumor-restricted antigens NY-BR-1, SCP-1, and a new cancer/testis-like antigen NW-BR-3 by serological screening of a testicular library with breast cancer serum. Cancer Immun 2:5

    PubMed  Google Scholar 

  121. Minenkova O, Pucci A, Pavoni E et al (2003) Identification of tumor-associated antigens by screening phage-displayed human cDNA libraries with sera from tumor patients. Int J Cancer 106:534–544

    Article  CAS  PubMed  Google Scholar 

  122. Jäger D, Taverna C, Zippelius A, Knuth A (2004) Identification of tumor antigens as potential target antigens for immunotherapy by serological expression cloning. Cancer Immunol Immunother 53:144–147

    Article  PubMed  CAS  Google Scholar 

  123. Qian F, Odunsi K, Blatt LM et al (2005) Tumor associated antigen recognition by autologous serum in patients with breast cancer. Int J Mol Med 15:137–144

    CAS  PubMed  Google Scholar 

  124. Shimada H, Nakashima K, Ochiai T et al (2005) Serological identification of tumor antigens of esophageal squamous cell carcinoma. Int J Oncol 26:77–86

    CAS  PubMed  Google Scholar 

  125. Jäger D (2007) Potential target antigens for immunotherapy identified by serological expression cloning (SEREX). In: Sioud M (ed) Target discovery and validation reviews and protocols. Springer, New York, pp 319–326

    Google Scholar 

  126. Kiyamova R, Kostianets O, Malyuchik S et al (2010) Identification of tumor-associated antigens from medullary breast carcinoma by a modified SEREX approach. Mol Biotechnol 46:105–112

    Article  CAS  PubMed  Google Scholar 

  127. Song M-H, Ha J-C, Lee S-M et al (2011) Identification of BCP-20 (FBXO39) as a cancer/testis antigen from colon cancer patients by SEREX. Biochem Biophys Res Commun 408:195–201

    Article  CAS  PubMed  Google Scholar 

  128. Kostianets O, Shyian M, Sergiy D et al (2012) Serological analysis of SEREX-defined medullary breast carcinoma-associated antigens. Cancer Investig 30:519–527

    Article  CAS  Google Scholar 

  129. Song M-H, Choi K-U, Shin D-H et al (2012) Identification of the cancer/testis antigens AKAP3 and CTp11 by SEREX in hepatocellular carcinoma. Oncol Rep 28:1792–1798

    Article  CAS  PubMed  Google Scholar 

  130. Kostianets O, Shyyan M, Antoniuk SV et al (2017) Panel of SEREX-defined antigens for breast cancer autoantibodies profile detection. Biomarkers 22:149–156

    Article  CAS  PubMed  Google Scholar 

  131. Chen Y-T, Scanlan MJ et al (1997) A testicular antigen aberrantly expressed in human cancers detected by autologous antibody screening. Proc Natl Acad Sci U S A 94:1914–1918

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  132. Jäger E, Jäger D, Knuth A (1999) CTL-defined cancer vaccines: perspectives for active immunotherapeutic interventions in minimal residual disease. Cancer Metastasis Rev 18:143–150

    Article  PubMed  Google Scholar 

  133. Heubeck B, Wendler O, Bumm K et al (2013) Tumor-associated antigenic pattern in squamous cell carcinomas of the head and neck—analysed by SEREX. Eur J Cancer 49:e1–e7

    Article  PubMed  Google Scholar 

  134. Dyachenko L, Havrysh K, Lytovchenko A et al (2016) Autoantibody response to ZRF1 and KRR1 SEREX antigens in patients with breast tumors of different histological types and grades. Dis Markers 2016:5128720

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  135. Hou Q, Chen K, Shan Z (2015) The construction of cDNA library and the screening of related antigen of ascitic tumor cells of ovarian cancer. Eur J Gynaecol Oncol 36:590–594

    CAS  PubMed  Google Scholar 

  136. Izawa S, Okamura T, Matsuzawa K et al (2013) Autoantibody against WD repeat domain 1 is a novel serological biomarker for screening of thyroid neoplasia. Clin Endocrinol 79:35–42

    Article  CAS  Google Scholar 

  137. Jongeneel V (2001) Towards a cancer immunome database. Cancer Immun 1:3

    CAS  PubMed  Google Scholar 

  138. Muto M, Mori M, Hiwasa T et al (2015) Novel serum autoantibodies against talin1 in multiple sclerosis: possible pathogenetic roles of the antibodies. J Neuroimmunol 284:30–36

    Article  CAS  PubMed  Google Scholar 

  139. Hao S, Fu R, Wang H, Shao Z (2017) Screening novel autoantigens targeted by serum IgG autoantibodies in immunorelated pancytopenia by SEREX. Int J Hematol 106:622–630

    Article  CAS  PubMed  Google Scholar 

  140. Boder ET, Dane Wittrup K (1997) Yeast surface display for screening combinatorial polypeptide libraries. Nat Biotechnol 15:553–557

    Article  CAS  PubMed  Google Scholar 

  141. Mischo A, Wadle A, Wätzig K et al (2003) Recombinant antigen expression on yeast surface (RAYS) for the detection of serological immune responses in cancer patients. Cancer Immun 3:5

    PubMed  Google Scholar 

  142. Wadle A, Mischo A, Imig J et al (2005) Serological identification of breast cancer-related antigens from a Saccharomyces cerevisiae surface display library. Int J Cancer 117:104–113

    Article  CAS  PubMed  Google Scholar 

  143. Kim M-S, Choi HY, Choi YS et al (2007) Optimized serological isolation of lung-cancer-associated antigens from a yeast surface-expressed cDNA library. J Microbiol Biotechnol 17:993–1001

    CAS  PubMed  Google Scholar 

  144. Caron M, Choquet-Kastylevsky G, Joubert-Caron R (2007) Cancer immunomics using autoantibody signatures for biomarker discovery. Mol Cell Proteomics 6:1115–1122

    Article  CAS  PubMed  Google Scholar 

  145. Hardouin J, Lasserre J-P, Canelle L et al (2007) Usefulness of autoantigens depletion to detect autoantibody signatures by multiple affinity protein profiling. J Sep Sci 30:352–358

    Article  CAS  PubMed  Google Scholar 

  146. Hardouin J-P, Lasserre J, Sylvius L et al (2007) Cancer immunomics: from serological proteome analysis to multiple affinity protein profiling. Ann N Y Acad Sci 1107:223–230

    Article  CAS  PubMed  Google Scholar 

  147. Roozendaal R, Carroll MC (2007) Complement receptors CD21 and CD35 in humoral immunity. Immunol Rev 219:157–166

    Article  CAS  PubMed  Google Scholar 

  148. Solomon S, Kassahn D, Illges H (2005) The role of the complement and the Fc gamma R system in the pathogenesis of arthritis. Arthritis Res Ther 7:129–135

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  149. Aibara N, Ichinose K, Baba M et al (2018) Proteomic approach to profiling immune complex antigens in cerebrospinal fluid samples from patients with central nervous system autoimmune diseases. Clin Chim Acta 484:26–31

    Article  CAS  PubMed  Google Scholar 

  150. Croce MV, Fejes M, Riera N et al (1985) Clinical importance of circulating immune complexes in human acute lymphoblastic leukemia. Cancer Immunol Immunother 20:91–95

    Article  CAS  PubMed  Google Scholar 

  151. Liu P, Overman RG, Yates NL et al (2011) Dynamic antibody specificities and virion concentrations in circulating immune complexes in acute to chronic HIV-1 infection. J Virol 85:11196–11207

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  152. Hadi SA, Waters WR, Palmer M et al (2018) Development of a multidimensional proteomic approach to detect circulating immune complexes in cattle experimentally infected with Mycobacterium bovis. Front Vet Sci 5:141

    Article  PubMed  PubMed Central  Google Scholar 

  153. Ohyama K, Kuroda N (2012) Proteomic approaches to profiling the humoral immune response and identifying disease-associated antigens. Biol Pharm Bull 35:1409–1412

    Article  CAS  PubMed  Google Scholar 

  154. Coppo R, Bosticardo GM, Basolo B et al (1982) Clinical significance of the detection of circulating immune complexes in lupus nephritis. Nephron 32:320–328

    Article  CAS  PubMed  Google Scholar 

  155. Soltis RD, Hasz DE (1983) The effect of serum immunoglobulin concentration on immune complex detection by polyethylene glycol. J Immunol Methods 57:275–282

    Article  CAS  PubMed  Google Scholar 

  156. Valentijn RM, van Overhagen H, Hazevoet HM et al (1985) The value of complement and immune complex determinations in monitoring disease activity in patients with systemic lupus erythematosus. Arthritis Rheum 28:904–913

    Article  CAS  PubMed  Google Scholar 

  157. Lock RJ, Unsworth DJ (2000) Measurement of immune complexes is not useful in routine clinical practice. Ann Clin Biochem 37:253–261

    Article  CAS  PubMed  Google Scholar 

  158. Ohyama K, Ueki Y, Kawakami A et al (2011) Immune complexome analysis of serum and its application in screening for immune complex antigens in rheumatoid arthritis. Clin Chem 57:905–909

    Article  CAS  PubMed  Google Scholar 

  159. Ohyama K, Kawakami A, Tamai M et al (2012) Serum immune complex containing thrombospondin-1: a novel biomarker for early rheumatoid arthritis. Ann Rheum Dis 71:1916–1917

    Article  PubMed  Google Scholar 

  160. Ohyama K, Kuroda N (2013) Immune complexome analysis. Adv Clin Chem 60:129–141

    Article  CAS  PubMed  Google Scholar 

  161. Aibara N, Kamohara C, Chauhan AK et al (2018) Selective, sensitive and comprehensive detection of immune complex antigens by immune complexome analysis with papain-digestion and elution. J Immunol Methods 461:85–90

    Article  CAS  PubMed  Google Scholar 

  162. Baba M, Ohyama K, Kishikawa N, Kuroda N (2013) Optimization of separation and digestion conditions in immune complexome analysis. Anal Biochem 443:181–186

    Article  CAS  PubMed  Google Scholar 

  163. Bhat S, Jagadeeshaprasad MG, Patil YR et al (2016) Proteomic insight reveals elevated levels of albumin in circulating immune complexes in diabetic plasma. Mol Cell Proteomics 15:2011–2020

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  164. Ohyama K, Baba M, Tamai M et al (2015) Proteomic profiling of antigens in circulating immune complexes associated with each of seven autoimmune diseases. Clin Biochem 48:181–185

    Article  CAS  PubMed  Google Scholar 

  165. Ohyama K, Yoshimi H, Aibara N et al (2017) Immune complexome analysis reveals the specific and frequent presence of immune complex antigens in lung cancer patients: a pilot study. Int J Cancer 140:370–380

    Article  CAS  PubMed  Google Scholar 

  166. Ohyama K, Huy NT, Yoshimi H et al (2016) Proteomic profile of circulating immune complexes in chronic Chagas disease. Parasite Immunol 38:609–617

    Article  CAS  PubMed  Google Scholar 

  167. Jamal F, Shivam P, Kumari S et al (2017) Identification of Leishmania donovani antigen in circulating immune complexes of visceral leishmaniasis subjects for diagnosis. PLoS One 12:e0182474

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  168. Aibara N, Ohyama K, Hidaka M et al (2018) Immune complexome analysis of antigens in circulating immune complexes from patients with acute cellular rejection after living donor liver transplantation. Transpl Immunol 48:60–64

    Article  CAS  PubMed  Google Scholar 

  169. Beyer NH, Schou C, Houen G, Heegaard NHH (2008) Extraction and identification of electroimmunoprecipitated proteins from agarose gels. J Immunol Methods 330:24–33

    Article  CAS  PubMed  Google Scholar 

  170. Grubb AO (1974) Crossed immunoelectrophoresis and electroimmunoassay of IgM. J Immunol 112:1420–1425

    CAS  PubMed  Google Scholar 

  171. Grubb AO (1974) Crossed immunoelectrophoresis and electroimmunoassay of IgG. J Immunol 113:343–347

    CAS  PubMed  Google Scholar 

  172. Laurell CB (1966) Quantitative estimation of proteins by electrophoresis in agarose gel containing antibodies. Anal Biochem 15:45–52

    Article  CAS  PubMed  Google Scholar 

  173. Gershoni JM, Roitburd-Berman A, Siman-Tov DD et al (2007) Epitope mapping. BioDrugs 21:145–156

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  174. Malito E, Carfi A, Bottomley MJ (2015) Protein crystallography in vaccine research and development. Int J Mol Sci 16:13106–13140

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  175. Becker W, Bhattiprolu KC, Gubensäk N, Zangger K (2018) Investigating protein-ligand interactions by solution nuclear magnetic resonance spectroscopy. ChemPhysChem 19:895–906

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  176. Opuni KFM, Al-Majdoub M, Yefremova Y et al (2018) Mass spectrometric epitope mapping. Mass Spectrom Rev 37:229–241

    Article  CAS  PubMed  Google Scholar 

  177. Oganesyan I, Lento C, Wilson DJ (2018) Contemporary hydrogen deuterium exchange mass spectrometry. Methods 144:27–42

    Article  CAS  PubMed  Google Scholar 

  178. Forsström B, Axnäs BB, Stengele K-P et al (2014) Proteome-wide epitope mapping of antibodies using ultra-dense peptide arrays. Mol Cell Proteomics 13:1585–1597

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  179. Pimenova T, Nazabal A, Roschitzki B et al (2008) Epitope mapping on bovine prion protein using chemical cross-linking and mass spectrometry. J Mass Spectrom 43:185–195

    Article  CAS  PubMed  Google Scholar 

  180. Potocnakova L, Bhide M, Pulzova LB (2016) An introduction to B-cell epitope mapping and in silico epitope prediction. J Immunol Res 2016:6760830

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  181. Caron E, Kowalewski DJ, Chiek Koh C et al (2015) Analysis of major histocompatibility complex (MHC) immunopeptidomes using mass spectrometry. Mol Cell Proteomics 14:3105–3117

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  182. Adler M (2005) Immuno-PCR as a clinical laboratory tool. Adv Clin Chem 39:239–292

    Article  PubMed  Google Scholar 

  183. Adler M, Wacker R, Niemeyer CM (2003) A real-time immuno-PCR assay for routine ultrasensitive quantification of proteins. Biochem Biophys Res Commun 308:240–250

    Article  CAS  PubMed  Google Scholar 

  184. Dinarello CA (2007) Historical insights into cytokines. Eur J Immunol 37:S34–S45

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  185. Dinarello CA (2010) Anti-inflammatory agents: present and future. Cell 140:935–950

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  186. Stenken JA, Poschenrieder AJ (2015) Bioanalytical chemistry of cytokines—a review. Anal Chim Acta 853:95–115

    Article  CAS  PubMed  Google Scholar 

  187. Bruserud O (2010) The chemokine system in experimental and clinical hematology. Springer Science & Business Media, Berlin

    Book  Google Scholar 

  188. Thorpe R, Wadhwa M, Bird CR, Mire-Sluis AR (1992) Detection and measurement of cytokines. Blood Rev 6:133–148

    Article  CAS  PubMed  Google Scholar 

  189. Whiteside TL (2003) Chapter 61 - Assays for cytokines. In: Thomson AW, Lotze MT (eds) The cytokine handbook, 4th edn. Academic, London, pp 1375–1396

    Chapter  Google Scholar 

  190. Mire-Sluis AR, Page L, Thorpe R (1995) Quantitative cell line based bioassays for human cytokines. J Immunol Methods 187:191–199

    Article  CAS  PubMed  Google Scholar 

  191. House RV (1999) Cytokine bioassays: an overview. Dev Biol Stand 97:13–19

    CAS  PubMed  Google Scholar 

  192. Favre N, Bordmann G, Rudin W (1997) Comparison of cytokine measurements using ELISA, ELISPOT and semi-quantitative RT-PCR. J Immunol Methods 204:57–66

    Article  CAS  PubMed  Google Scholar 

  193. Leng SX, McElhaney JE, Walston JD et al (2008) ELISA and multiplex technologies for cytokine measurement in inflammation and aging research. J Gerontol A Biol Sci Med Sci 63:879–884

    Article  PubMed  Google Scholar 

  194. Yu X, Schneiderhan-Marra N, Hsu H-Y et al (2009) Protein microarrays: effective tools for the study of inflammatory diseases. Methods Mol Biol 577:199–214

    Article  CAS  PubMed  Google Scholar 

  195. Han K-C, Ahn D-R, Yang EG (2010) An approach to multiplexing an immunosorbent assay with antibody-oligonucleotide conjugates. Bioconjug Chem 21:2190–2196

    Article  CAS  PubMed  Google Scholar 

  196. Szarka A, Rigó J Jr, Lázár L et al (2010) Circulating cytokines, chemokines and adhesion molecules in normal pregnancy and preeclampsia determined by multiplex suspension array. BMC Immunol 11:59

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  197. Yu X, Hartmann M, Wang Q et al (2010) μFBI: a microfluidic bead-based immunoassay for multiplexed detection of proteins from a μL sample volume. PLoS One 5. https://doi.org/10.1371/journal.pone.0013125

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  198. Han K-C, Yang EG, Ahn D-R (2012) A highly sensitive, multiplex immunoassay using gold nanoparticle-enhanced signal amplification. Chem Commun 48:5895–5897

    Article  CAS  Google Scholar 

  199. Niemeyer CM, Adler M, Wacker R (2007) Detecting antigens by quantitative immuno-PCR. Nat Protoc 2:1918–1930

    Article  CAS  PubMed  Google Scholar 

  200. Adler M, Wacker R, Niemeyer CM (2008) Sensitivity by combination: immuno-PCR and related technologies. Analyst 133:702–718

    Article  CAS  PubMed  Google Scholar 

  201. Sano T, Smith CL, Cantor CR (1992) Immuno-PCR: very sensitive antigen detection by means of specific antibody-DNA conjugates. Science 258:120–122

    Article  CAS  PubMed  Google Scholar 

  202. Kasai N, Kobayashi K, Shioya S et al (2012) Soluble heparin-binding EGF-like growth factor (HB-EGF) detected by newly developed immuno-PCR method is a clear-cut serological biomarker for ovarian cancer. Am J Transl Res 4:415–421

    CAS  PubMed  PubMed Central  Google Scholar 

  203. Chia-Ching L, Subramaniam S, Sivasubramanian S, Feng-Huei L (2016) MWCNT-Fe3O4-based immuno-PCR for the early screening of nasopharyngeal carcinoma. Mater Sci Eng C Mater Biol Appl 61:422–428

    Article  CAS  PubMed  Google Scholar 

  204. Kuczius T, Becker K, Fischer A, Zhang W (2012) Simultaneous detection of three CNS indicator proteins in complex suspensions using a single immuno-PCR protocol. Anal Biochem 431:4–10

    Article  CAS  PubMed  Google Scholar 

  205. Malou N, Renvoise A, Nappez C, Raoult D (2012) Immuno-PCR for the early serological diagnosis of acute infectious diseases: the Q fever paradigm. Eur J Clin Microbiol Infect Dis 31:1951–1960

    Article  CAS  PubMed  Google Scholar 

  206. Mehta PK, Dahiya B, Sharma S et al (2017) Immuno-PCR, a new technique for the serodiagnosis of tuberculosis. J Microbiol Methods 139:218–229

    Article  CAS  PubMed  Google Scholar 

  207. Xie Q, Zhang J, Shao H et al (2016) Development of a novel immuno-PCR for detection of avian leukosis virus. J Virol Methods 236:25–28

    Article  CAS  PubMed  Google Scholar 

  208. Mehta PK, Singh N, Dharra R et al (2016) Diagnosis of tuberculosis based on the detection of a cocktail of mycobacterial antigen 85B, ESAT-6 and cord factor by immuno-PCR. J Microbiol Methods 127:24–27

    Article  CAS  PubMed  Google Scholar 

  209. Halpern MD, Molins CR, Schriefer M, Jewett MW (2014) Simple objective detection of human lyme disease infection using immuno-PCR and a single recombinant hybrid antigen. Clin Vaccine Immunol 21:1094–1105

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  210. Mehta PK, Raj A, Singh NP, Khuller GK (2014) Detection of potential microbial antigens by immuno-PCR (PCR-amplified immunoassay). J Med Microbiol 63:627–641

    Article  CAS  PubMed  Google Scholar 

  211. Potůčková L, Franko F, Bambousková M, Dráber P (2011) Rapid and sensitive detection of cytokines using functionalized gold nanoparticle-based immuno-PCR, comparison with immuno-PCR and ELISA. J Immunol Methods 371:38–47

    Article  PubMed  CAS  Google Scholar 

  212. Assumpção ALFV, da Silva RC (2016) Immuno-PCR in cancer and non-cancer related diseases: a review. Vet Q 36:63–70

    Article  PubMed  Google Scholar 

  213. Chao H-Y, Wang Y-C, Tang S-S, Liu H-W (2004) A highly sensitive immuno-polymerase chain reaction assay for Clostridium botulinum neurotoxin type A. Toxicon 43:27–34

    Article  CAS  PubMed  Google Scholar 

  214. Allen RC, Rogelj S, Cordova SE, Kieft TL (2006) An immuno-PCR method for detecting Bacillus thuringiensis Cry1Ac toxin. J Immunol Methods 308:109–115

    Article  CAS  PubMed  Google Scholar 

  215. Fischer A, von Eiff C, Kuczius T et al (2007) A quantitative real-time immuno-PCR approach for detection of staphylococcal enterotoxins. J Mol Med 85:461–469

    Article  CAS  PubMed  Google Scholar 

  216. Zhang W, Bielaszewska M, Pulz M et al (2008) New immuno-PCR assay for detection of low concentrations of shiga toxin 2 and its variants. J Clin Microbiol 46:1292–1297

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  217. He X, Qi W, Quiñones B et al (2011) Sensitive detection of Shiga toxin 2 and some of its variants in environmental samples by a novel immuno-PCR assay. Appl Environ Microbiol 77:3558–3564

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  218. Simonova MA, Pivovarov VD, Ryazantsev DY et al (2018) Comparative diagnostics of allergy using quantitative immuno-PCR and ELISA. Bioanalysis 10:757–767

    Article  CAS  PubMed  Google Scholar 

  219. Rahmatpour S, Khan AH, Nasiri Kalmarzi R et al (2017) Application of immuno-PCR assay for the detection of serum IgE specific to Bermuda allergen. Mol Cell Probes 32:1–4

    Article  CAS  PubMed  Google Scholar 

  220. Kolesnikov AV, Kozyr AV, Ryabko AK, Shemyakin IG (2016) Ultrasensitive detection of protease activity of anthrax and botulinum toxins by a new PCR-based assay. Pathog Dis 74:ftv112

    Article  PubMed  CAS  Google Scholar 

  221. Lind K, Kubista M (2005) Development and evaluation of three real-time immuno-PCR assemblages for quantification of PSA. J Immunol Methods 304:107–116

    Article  CAS  PubMed  Google Scholar 

  222. Niemeyer CM, Adler M, Wacker R (2005) Immuno-PCR: high sensitivity detection of proteins by nucleic acid amplification. Trends Biotechnol 23:208–216

    Article  CAS  PubMed  Google Scholar 

  223. Malou N, Raoult D (2011) Immuno-PCR: a promising ultrasensitive diagnostic method to detect antigens and antibodies. Trends Microbiol 19:295–302

    Article  CAS  PubMed  Google Scholar 

  224. Ryazantsev DY, Voronina DV, Zavriev SK (2016) Immuno-PCR: achievements and perspectives. Biochemistry 81:1754–1770

    CAS  PubMed  Google Scholar 

  225. Chang L, Li J, Wang L (2016) Immuno-PCR: an ultrasensitive immunoassay for biomolecular detection. Anal Chim Acta 910:12–24

    Article  CAS  PubMed  Google Scholar 

  226. Fuson KL, Zheng M, Craxton M et al (2009) Structural mapping of post-translational modifications in human interleukin-24: role of N-linked glycosylation and disulfide bonds in secretion and activity. J Biol Chem 284:30526–30533

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  227. Guzman NA, Phillips TM (2005) Immunoaffinity CE for proteomics studies. Anal Chem 77:60A–67A

    Article  CAS  Google Scholar 

  228. Guzman NA, Blanc T, Phillips TM (2008) Immunoaffinity capillary electrophoresis as a powerful strategy for the quantification of low-abundance biomarkers, drugs, and metabolites in biological matrices. Electrophoresis 29:3259–3278

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  229. Guzman NA, Phillips TM (2011) Immunoaffinity capillary electrophoresis: a new versatile tool for determining protein biomarkers in inflammatory processes. Electrophoresis 32:1565–1578

    CAS  PubMed  Google Scholar 

  230. Boyle M, Hess J, Nuara A, Buller R (2006) Application of immunoproteomics to rapid cytokine detection. Methods 38:342–350

    Article  CAS  PubMed  Google Scholar 

  231. Hortin GL, Sviridov D, Anderson NL (2008) High-abundance polypeptides of the human plasma proteome comprising the top 4 logs of polypeptide abundance. Clin Chem 54:1608–1616

    Article  CAS  PubMed  Google Scholar 

  232. Björhall K, Miliotis T, Davidsson P (2005) Comparison of different depletion strategies for improved resolution in proteomic analysis of human serum samples. Proteomics 5:307–317

    Article  PubMed  CAS  Google Scholar 

  233. Tirumalai RS, Chan KC, Prieto DA et al (2003) Characterization of the low molecular weight human serum proteome. Mol Cell Proteomics 2:1096–1103

    Article  CAS  PubMed  Google Scholar 

  234. Harper RG, Workman SR, Schuetzner S et al (2004) Low-molecular-weight human serum proteome using ultrafiltration, isoelectric focusing, and mass spectrometry. Electrophoresis 25:1299–1306

    Article  CAS  PubMed  Google Scholar 

  235. Groessl M, Luksch H, Rösen-Wolff A et al (2012) Profiling of the human monocytic cell secretome by quantitative label-free mass spectrometry identifies stimulus-specific cytokines and proinflammatory proteins. Proteomics 12:2833–2842

    Article  CAS  PubMed  Google Scholar 

  236. de Jesus JR, da Silva Fernandes R, de Souza Pessôa G et al (2017) Depleting high-abundant and enriching low-abundant proteins in human serum: an evaluation of sample preparation methods using magnetic nanoparticle, chemical depletion and immunoaffinity techniques. Talanta 170:199–209

    Article  PubMed  CAS  Google Scholar 

  237. Wiederin J, Ciborowski P (2016) 6 - Immunoaffinity depletion of highly abundant proteins for proteomic sample preparation. In: Ciborowski P, Silberring J (eds) Proteomic profiling and analytical chemistry, 2nd edn. Elsevier, Boston, pp 101–114

    Chapter  Google Scholar 

  238. Alečković M, Wei Y, LeRoy G et al (2017) Identification of Nidogen 1 as a lung metastasis protein through secretome analysis. Genes Dev 31:1439–1455

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  239. Collins BC, Hunter CL, Liu Y et al (2017) Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry. Nat Commun 8:291

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  240. Luo Y, Mok TS, Lin X et al (2017) SWATH-based proteomics identified carbonic anhydrase 2 as a potential diagnosis biomarker for nasopharyngeal carcinoma. Sci Rep 7:41191

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  241. Lin Q, Lim HSR, Lin HL et al (2015) Analysis of colorectal cancer glyco-secretome identifies laminin β-1 (LAMB1) as a potential serological biomarker for colorectal cancer. Proteomics 15:3905–3920

    Article  CAS  PubMed  Google Scholar 

  242. Percy AJ, Chambers AG, Yang J et al (2014) Advances in multiplexed MRM-based protein biomarker quantitation toward clinical utility. Biochim Biophys Acta 1844:917–926

    Article  CAS  PubMed  Google Scholar 

  243. Hugues S, Malherbe L, Filippi C, Glaichenhaus N (2002) Generation and use of alternative multimers of peptide/MHC complexes. J Immunol Methods 268:83–92

    Article  CAS  PubMed  Google Scholar 

  244. Watts C, Moss CX, Mazzeo D et al (2003) Creation versus destruction of T cell epitopes in the class II MHC pathway. Ann N Y Acad Sci 987:9–14

    Article  CAS  PubMed  Google Scholar 

  245. Saunders PM, van Endert P (2011) Running the gauntlet: from peptide generation to antigen presentation by MHC class I. Tissue Antigens 78:161–170

    Article  CAS  PubMed  Google Scholar 

  246. Rudensky AY, Preston-Hurlburt P, Hong SC et al (1991) Sequence analysis of peptides bound to MHC class II molecules. Nature 353:622–627

    Article  CAS  PubMed  Google Scholar 

  247. Rudensky AY, Preston-Hurlburt P, al-Ramadi BK et al (1992) Truncation variants of peptides isolated from MHC class II molecules suggest sequence motifs. Nature 359:429–431

    Article  CAS  PubMed  Google Scholar 

  248. Engelhard VH (1994) Structure of peptides associated with MHC class I molecules. Curr Opin Immunol 6:13–23

    Article  CAS  PubMed  Google Scholar 

  249. Engelhard VH (1994) Structure of peptides associated with class I and class II MHC molecules. Annu Rev Immunol 12:181–207

    Article  CAS  PubMed  Google Scholar 

  250. Alfonso C, Karlsson L (2000) Nonclassical MHC class II molecules. Annu Rev Immunol 18:113–142

    Article  CAS  PubMed  Google Scholar 

  251. Santambrogio L, Strominger JL (2006) The ins and outs of MHC class II proteins in dendritic cells. Immunity 25:857–859

    Article  CAS  PubMed  Google Scholar 

  252. Cole DK (2015) The ultimate mix and match: making sense of HLA alleles and peptide repertoires. Immunol Cell Biol 93:515–516

    Article  CAS  PubMed  Google Scholar 

  253. Storkus WJ, Zeh HJ III, Salter RD, Lotze MT (1993) Identification of T-cell epitopes: rapid isolation of class I-presented peptides from viable cells by mild acid elution. J Immunother Emphasis Tumor Immunol 14:94–103

    Article  CAS  PubMed  Google Scholar 

  254. Rotzschke O, Falk K, Wallny HJ, Faath S (1990) Characterization of naturally occurring minor histocompatibility peptides including H-4 and HY. Science 249(4966):283–287

    Article  CAS  PubMed  Google Scholar 

  255. Rötzschke O, Falk K, Deres K et al (1990) Isolation and analysis of naturally processed viral peptides as recognized by cytotoxic T cells. Nature 348:252–254

    Article  PubMed  Google Scholar 

  256. Falk K, Rötzschke O, Rammensee HG (1990) Cellular peptide composition governed by major histocompatibility complex class I molecules. Nature 348:248–251

    Article  CAS  PubMed  Google Scholar 

  257. Van Bleek GM, Nathenson SG (1990) Isolation of an endogenously processed immunodominant viral peptide from the class I H–2Kb molecule. Nature 348:213–216

    Article  PubMed  Google Scholar 

  258. Duyar H, Dengjel J, de Graaf KL et al (2005) Peptide motif for the rat MHC class II molecule RT1.Da: similarities to the multiple sclerosis-associated HLA-DRB1∗1501 molecule. Immunogenetics 57:69–76

    Article  CAS  PubMed  Google Scholar 

  259. Fissolo N, Haag S, de Graaf KL et al (2009) Naturally presented peptides on major histocompatibility complex I and II molecules eluted from central nervous system of multiple sclerosis patients. Mol Cell Proteomics 8:2090–2101

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  260. Wahlström J, Dengjel J, Persson B et al (2007) Identification of HLA-DR–bound peptides presented by human bronchoalveolar lavage cells in sarcoidosis. J Clin Invest 117:3576–3582

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  261. Demine R, Sherev T, Walden P (2003) Biochemical determination of natural tumor-associated T-cell epitopes. Mol Biotechnol 25:71–78

    Article  CAS  PubMed  Google Scholar 

  262. Verma B, Hawkins OE, Neethling FA et al (2010) Direct discovery and validation of a peptide/MHC epitope expressed in primary human breast cancer cells using a TCRm monoclonal antibody with profound antitumor properties. Cancer Immunol Immunother 59:563–573

    Article  CAS  PubMed  Google Scholar 

  263. McMurtrey CP, Lelic A, Piazza P et al (2008) Epitope discovery in West Nile virus infection: identification and immune recognition of viral epitopes. Proc Natl Acad Sci U S A 105:2981–2986

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  264. Hunt DF, Michel H, Dickinson TA et al (1992) Peptides presented to the immune system by the murine class II major histocompatibility complex molecule I-Ad. Science 256:1817–1820

    Article  CAS  PubMed  Google Scholar 

  265. Lemmel C, Weik S, Eberle U et al (2004) Differential quantitative analysis of MHC ligands by mass spectrometry using stable isotope labeling. Nat Biotechnol 22:450–454

    Article  CAS  PubMed  Google Scholar 

  266. Lanoix J, Durette C, Courcelles M et al (2018) Comparison of the MHC I immunopeptidome repertoire of B-cell lymphoblasts using two isolation methods. Proteomics 18:e1700251

    Article  PubMed  CAS  Google Scholar 

  267. Jappe EC, Kringelum J, Trolle T, Nielsen M (2018) Predicted MHC peptide binding promiscuity explains MHC class I “hotspots” of antigen presentation defined by mass spectrometry eluted ligand data. Immunology 154:407–417

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  268. Rozanov DV, Rozanov ND, Chiotti KE et al (2018) MHC class I loaded ligands from breast cancer cell lines: a potential HLA-I-typed antigen collection. J Proteome 176:13–23

    Article  CAS  Google Scholar 

  269. Murphy JP, Konda P, Kowalewski DJ et al (2017) MHC-I ligand discovery using targeted database searches of mass spectrometry data: implications for T-cell immunotherapies. J Proteome Res 16:1806–1816

    Article  CAS  PubMed  Google Scholar 

  270. Escobar H, Reyes-Vargas E, Jensen PE et al (2011) Utility of characteristic QTOF MS/MS fragmentation for MHC class I peptides. J Proteome Res 10:2494–2507

    Article  CAS  PubMed  Google Scholar 

  271. Mommen GPM, Marino F, Meiring HD et al (2016) Sampling from the proteome to the HLA-DR ligandome proceeds via high specificity. Mol Cell Proteomics 15(4):1412–1423

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  272. Henderson RA, Cox AL, Sakaguchi K et al (1993) Direct identification of an endogenous peptide recognized by multiple HLA-A2.1-specific cytotoxic T cells. Proc Natl Acad Sci U S A 90:10275–10279

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  273. Cox AL, Skipper J, Chen Y et al (1994) Identification of a peptide recognized by five melanoma-specific human cytotoxic T cell lines. Science 264:716–719

    Article  CAS  PubMed  Google Scholar 

  274. den Haan JM, Sherman NE, Blokland E et al (1995) Identification of a graft versus host disease-associated human minor histocompatibility antigen. Science 268:1476–1480

    Article  Google Scholar 

  275. Carralot J-P, Lemmel C, Stevanovic S, Pascolo S (2008) Mass spectrometric identification of an HLA-A∗0201 epitope from Plasmodium falciparum MSP-1. Int Immunol 20:1451–1456

    Article  CAS  PubMed  Google Scholar 

  276. Hawkins OE, Vangundy RS, Eckerd AM et al (2008) Identification of breast cancer peptide epitopes presented by HLA-A∗0201. J Proteome Res 7:1445–1457

    Article  CAS  PubMed  Google Scholar 

  277. Weinzierl AO, Maurer D, Altenberend F et al (2008) A cryptic vascular endothelial growth factor T-cell epitope: identification and characterization by mass spectrometry and T-cell assays. Cancer Res 68:2447–2454

    Article  CAS  PubMed  Google Scholar 

  278. Seward RJ, Drouin EE, Steere AC, Costello CE (2010) Peptides presented by HLA-DR molecules in synovia of patients with rheumatoid arthritis or antibiotic-refractory Lyme arthritis. Mol Cell Proteomics 10:M110.002477

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  279. Sahin U, Derhovanessian E, Miller M et al (2017) Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer. Nature 547:222–226

    Article  CAS  PubMed  Google Scholar 

  280. Yadav M, Jhunjhunwala S, Phung QT et al (2014) Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencing. Nature 515:572–576

    Article  CAS  PubMed  Google Scholar 

  281. Gygi SP, Rist B, Griffin TJ et al (2002) Proteome analysis of low-abundance proteins using multidimensional chromatography and isotope-coded affinity tags. J Proteome Res 1:47–54

    Article  CAS  PubMed  Google Scholar 

  282. Ross PL, Huang YN, Marchese JN et al (2004) Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents. Mol Cell Proteomics 3:1154–1169

    Article  CAS  PubMed  Google Scholar 

  283. Cagney G, Emili A (2002) De novo peptide sequencing and quantitative profiling of complex protein mixtures using mass-coded abundance tagging. Nat Biotechnol 20:163–170

    Article  CAS  PubMed  Google Scholar 

  284. Bozzacco L, Yu H, Zebroski HA et al (2011) Mass spectrometry analysis and quantitation of peptides presented on the MHC II molecules of mouse spleen dendritic cells. J Proteome Res 10:5016–5030

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  285. Hogan KT, Sutton JN, Chu KU et al (2005) Use of selected reaction monitoring mass spectrometry for the detection of specific MHC class I peptide antigens on A3 supertype family members. Cancer Immunol Immunother 54:359–371

    Article  CAS  PubMed  Google Scholar 

  286. Ishioka GY, Lamont AG, Thomson D et al (1992) MHC interaction and T cell recognition of carbohydrates and glycopeptides. J Immunol 148:2446–2451

    CAS  PubMed  Google Scholar 

  287. Carbone FR, Gleeson PA (1997) Carbohydrates and antigen recognition by T cells. Glycobiology 7:725–730

    Article  CAS  PubMed  Google Scholar 

  288. Kastrup IB, Andersen MH, Elliott T, Haurum JS (2001) MHC-restricted T cell responses against posttranslationally modified peptide antigens. Adv Immunol 78:267–289

    Article  CAS  PubMed  Google Scholar 

  289. Kastrup IB, Stevanovic S, Arsequell G et al (2000) Lectin purified human class I MHC-derived peptides: evidence for presentation of glycopeptides in vivo. Tissue Antigens 56:129–135

    Article  CAS  PubMed  Google Scholar 

  290. Haurum JS, Arsequell G, Lellouch AC et al (1994) Recognition of carbohydrate by major histocompatibility complex class I-restricted, glycopeptide-specific cytotoxic T lymphocytes. J Exp Med 180:739–744

    Article  CAS  PubMed  Google Scholar 

  291. Haurum JS, Tan L, Arsequell G et al (1995) Peptide anchor residue glycosylation: effect on class I major histocompatibility complex binding and cytotoxic T lymphocyte recognition. Eur J Immunol 25:3270–3276

    Article  CAS  PubMed  Google Scholar 

  292. Haurum JS, Høier IB, Arsequell G et al (1999) Presentation of cytosolic glycosylated peptides by human class I major histocompatibility complex molecules in vivo. J Exp Med 190:145–150

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  293. Glithero A, Tormo J, Haurum JS et al (1999) Crystal structures of two H-2Db/glycopeptide complexes suggest a molecular basis for CTL cross-reactivity. Immunity 10:63–74

    Article  CAS  PubMed  Google Scholar 

  294. Zhang H, Li X-J, Martin DB, Aebersold R (2003) Identification and quantification of N-linked glycoproteins using hydrazide chemistry, stable isotope labeling and mass spectrometry. Nat Biotechnol 21:660–666

    Article  CAS  PubMed  Google Scholar 

  295. Malaker SA, Ferracane MJ, Depontieu FR et al (2017) Identification and characterization of complex glycosylated peptides presented by the MHC class II processing pathway in melanoma. J Proteome Res 16:228–237

    Article  CAS  PubMed  Google Scholar 

  296. Morita D, Sugita M (2016) Lipopeptides: a novel antigen repertoire presented by major histocompatibility complex class I molecules. Immunology 149:139–145

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  297. Andersen MH, Bonfill JE, Neisig A et al (1999) Phosphorylated peptides can be transported by TAP molecules, presented by class I MHC molecules, and recognized by phosphopeptide-specific CTL. J Immunol 163:3812–3818

    CAS  PubMed  Google Scholar 

  298. Meyer VS, Drews O, Günder M et al (2009) Identification of natural MHC class II presented phosphopeptides and tumor-derived MHC class I phospholigands. J Proteome Res 8:3666–3674

    Article  CAS  PubMed  Google Scholar 

  299. Zarling AL, Ficarro SB, White FM et al (2000) Phosphorylated peptides are naturally processed and presented by major histocompatibility complex class I molecules in vivo. J Exp Med 192:1755–1762

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  300. Mohammed F, Stones DH, Zarling AL et al (2017) The antigenic identity of human class I MHC phosphopeptides is critically dependent upon phosphorylation status. Oncotarget 8:54160–54172

    PubMed  PubMed Central  Google Scholar 

  301. Zarling AL, Polefrone JM, Evans AM et al (2006) Identification of class I MHC-associated phosphopeptides as targets for cancer immunotherapy. Proc Natl Acad Sci U S A 103:14889–14894

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  302. Depontieu FR, Qian J, Zarling AL et al (2009) Identification of tumor-associated, MHC class II-restricted phosphopeptides as targets for immunotherapy. Proc Natl Acad Sci U S A 106:12073–12078

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  303. Li Y, Depontieu FR, Sidney J et al (2010) Structural basis for the presentation of tumor-associated MHC class II-restricted phosphopeptides to CD4+ T cells. J Mol Biol 399:596–603

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  304. Ferreira L, Sánchez-Juanes F, Munoz-Bellido JL, González-Buitrago JM (2011) Rapid method for direct identification of bacteria in urine and blood culture samples by matrix-assisted laser desorption ionization time-of-flight mass spectrometry: intact cell vs. extraction method. Clin Microbiol Infect 17:1007–1012

    Article  CAS  PubMed  Google Scholar 

  305. Welker M (2011) Proteomics for routine identification of microorganisms. Proteomics 11:3143–3153

    Article  CAS  PubMed  Google Scholar 

  306. Welker M, Moore ERB (2011) Applications of whole-cell matrix-assisted laser-desorption/ionization time-of-flight mass spectrometry in systematic microbiology. Syst Appl Microbiol 34:2–11

    Article  CAS  PubMed  Google Scholar 

  307. Sogawa K, Watanabe M, Sato K et al (2012) Rapid identification of microorganisms by mass spectrometry: improved performance by incorporation of in-house spectral data into a commercial database. Anal Bioanal Chem 403:1811–1822

    Article  CAS  PubMed  Google Scholar 

  308. El-Bouri K, Johnston S, Rees E et al (2012) Comparison of bacterial identification by MALDI-TOF mass spectrometry and conventional diagnostic microbiology methods: agreement, speed and cost implications. Br J Biomed Sci 69:47–55

    Article  CAS  PubMed  Google Scholar 

  309. Ouedraogo R, Flaudrops C, Ben Amara A et al (2010) Global analysis of circulating immune cells by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. PLoS One 5:e13691

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  310. Ouedraogo R, Daumas A, Ghigo E et al (2012) Whole-cell MALDI-TOF MS: a new tool to assess the multifaceted activation of macrophages. J Proteome 75:5523–5532

    Article  CAS  Google Scholar 

  311. Portevin D, Pflüger V, Otieno P et al (2015) Quantitative whole-cell MALDI-TOF MS fingerprints distinguishes human monocyte sub-populations activated by distinct microbial ligands. BMC Biotechnol 15:24

    Article  PubMed  PubMed Central  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Human Health Therapeutics Research Centre, National Research Council of Canada, Ottawa, ON, Canada

    Kelly M. Fulton, Isabel Baltat & Susan M. Twine

Authors
  1. Kelly M. Fulton
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Isabel Baltat
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Susan M. Twine
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Susan M. Twine .

Editor information

Editors and Affiliations

  1. Human Health Therapeutics Research Centre, National Research Council of Canada, Ottawa, ON, Canada

    Kelly M. Fulton

  2. Human Health Therapeutics Research Centre, National Research Council of Canada, Ottawa, ON, Canada

    Susan M. Twine

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Science+Business Media, LLC, part of Springer Nature

About this protocol

Check for updates. Verify currency and authenticity via CrossMark

Cite this protocol

Fulton, K.M., Baltat, I., Twine, S.M. (2019). Immunoproteomics Methods and Techniques. In: Fulton, K., Twine, S. (eds) Immunoproteomics. Methods in Molecular Biology, vol 2024. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9597-4_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-9597-4_2

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9596-7

  • Online ISBN: 978-1-4939-9597-4

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics

Search

Navigation