Serological Proteome Analysis for the Characterization of Secreted Fungal Protein Antigens.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2021
Historique:
entrez: 6 1 2021
pubmed: 7 1 2021
medline: 1 4 2021
Statut: ppublish

Résumé

Defining the humoral immune response to infectious agents is important for gaining insights into infectious diseases and the response of the immune system. It can further aid development of serodiagnostic tests, discovery of vaccine antigen candidates, and immuno-epidemiological research. During the last three decades, serological proteome analyses (SERPAs) have played a significant role in characterizing the antibody response of humans or animals to fungal pathogens. SERPA combines 2D-gel electrophoresis with Western blotting. The introduction of multiplexing approaches by means of fluorescent dyes has greatly improved the reliability of the 2D technique and has boosted also the qualitative capabilities of the SERPA approach. In this chapter, we detail a SERPA protocol using fungal extracellular proteins from a fungal culture, here as an example the mold Aspergillus fumigatus.

Identifiants

pubmed: 33405028
doi: 10.1007/978-1-0716-1182-1_2
doi:

Substances chimiques

Antigens, Fungal 0
Fungal Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15-26

Références

Tjalsma H, Schaeps RM, Swinkels DW (2008) Immunoproteomics: from biomarker discovery to diagnostic applications. Proteomics Clin Appl 2(2):167–180. https://doi.org/10.1002/prca.200780012
doi: 10.1002/prca.200780012 pubmed: 21136823
Burbelo PD, Ching KH, Bush ER, Han BL, Iadarola MJ (2010) Antibody-profiling technologies for studying humoral responses to infectious agents. Expert Rev Vaccines 9(6):567–578. https://doi.org/10.1586/erv.10.50
doi: 10.1586/erv.10.50 pubmed: 20518713
Wang Y, Yang J, Li Z, Yang S (2014) Evolution of the strategies for screening and identifying human tumor antigens. Curr Protein Pept Sci 15(8):819–827
doi: 10.2174/1389203715666141027100331
Ganesan V, Ascherman DP, Minden JS (2016) Immunoproteomics technologies in the discovery of autoantigens in autoimmune diseases. Biomol Concepts 7(2):133–143. https://doi.org/10.1515/bmc-2016-0007
doi: 10.1515/bmc-2016-0007 pubmed: 27115324
Prasannan L, Misek DE, Hinderer R, Michon J, Geiger JD, Hanash SM (2000) Identification of beta-tubulin isoforms as tumor antigens in neuroblastoma. Clin Cancer Res 6(10):3949–3956
pubmed: 11051243
Klade CS, Voss T, Krystek E, Ahorn H, Zatloukal K, Pummer K, Adolf GR (2001) Identification of tumor antigens in renal cell carcinoma by serological proteome analysis. Proteomics 1(7):890–898. https://doi.org/10.1002/1615-9861(200107)1:7<890::AID-PROT890>3.0.CO;2-Z
doi: 10.1002/1615-9861(200107)1:7<890::AID-PROT890>3.0.CO;2-Z
Klade CS (2002) Proteomics approaches towards antigen discovery and vaccine development. Curr Opin Mol Ther 4(3):216–223
pubmed: 12139306
Fulton KM, Twine SM (2013) Immunoproteomics: current technology and applications. Methods Mol Biol 1061:21–57. https://doi.org/10.1007/978-1-62703-589-7_2
doi: 10.1007/978-1-62703-589-7_2 pubmed: 23963929
Broker BM, van Belkum A (2011) Immune proteomics of Staphylococcus aureus. Proteomics 11(15):3221–3231. https://doi.org/10.1002/pmic.201100010
doi: 10.1002/pmic.201100010 pubmed: 21710570
Dutoit-Lefevre V, Dubucquoi S, Launay D, Sobanski V, Dussart P, Chafey P, Broussard C, Duban-Deweer S, Vermersch P, Prin L, Lefranc D (2015) An optimized fluorescence-based bidimensional immunoproteomic approach for accurate screening of autoantibodies. PLoS One 10(7):e0132142. https://doi.org/10.1371/journal.pone.0132142
doi: 10.1371/journal.pone.0132142 pubmed: 26132557 pmcid: 4489013
Kusch K, Uecker M, Liepold T, Mobius W, Hoffmann C, Neumann H, Werner HB, Jahn O (2017) Partial immunoblotting of 2D-gels: a novel method to identify post-translationally modified proteins exemplified for the myelin acetylome. Proteomes 5:1. https://doi.org/10.3390/proteomes5010003
doi: 10.3390/proteomes5010003
Paulussen C, Hallsworth JE, Alvarez-Perez S, Nierman WC, Hamill PG, Blain D, Rediers H, Lievens B (2017) Ecology of aspergillosis: insights into the pathogenic potency of Aspergillus fumigatus and some other Aspergillus species. Microb Biotechnol 10(2):296–322. https://doi.org/10.1111/1751-7915.12367
doi: 10.1111/1751-7915.12367 pubmed: 27273822
Kniemeyer O, Ebel F, Kruger T, Bacher P, Scheffold A, Luo T, Strassburger M, Brakhage AA (2016) Immunoproteomics of Aspergillus for the development of biomarkers and immunotherapies. Proteomics Clin Appl 10(9–10):910–921. https://doi.org/10.1002/prca.201600053
doi: 10.1002/prca.201600053 pubmed: 27312145
Casadevall A, Pirofski LA (2012) Immunoglobulins in defense, pathogenesis, and therapy of fungal diseases. Cell Host Microbe 11(5):447–456. https://doi.org/10.1016/j.chom.2012.04.004
doi: 10.1016/j.chom.2012.04.004 pubmed: 22607798 pmcid: 3360875
Shevchenko A, Tomas H, Havlis J, Olsen JV, Mann M (2006) In-gel digestion for mass spectrometric characterization of proteins and proteomes. Nat Protoc 1(6):2856–2860. https://doi.org/10.1038/nprot.2006.468
doi: 10.1038/nprot.2006.468 pubmed: 17406544

Auteurs

Juliane Macheleidt (J)

Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Jena, Germany.

Olaf Kniemeyer (O)

Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Jena, Germany. olaf.kniemeyer@leibniz-hki.de.

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