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High-density peptide arrays help to identify linear immunogenic B cell epitopes in individuals naturally exposed to malaria infection

Jaenisch, Thomas; Heiss, Kirsten; Fischer, Nico; Geiger, Carolin; Bischoff, F Ralf; Moldenhauer, Gerhard; Rychlewski, Leszek; Sié, Ali; Coulibaly, Boubacar; Seeberger, Peter H.; Wyrwicz, Lucjan S; Breitling, Frank; Loeffler, Felix F

Abstract (englisch):
High-density peptide arrays are an excellent means to profile anti-plasmodial antibody responses. Different protein intrinsic epitopes can be distinguished, and additional insights are gained, when compared with assays involving the full-length protein. Distinct reactivities to specific epitopes within one protein may explain differences in published results, regarding immunity or susceptibility to malaria. We pursued three approaches to find specific epitopes within important plasmodial proteins, (1) twelve leading vaccine candidates were mapped as overlapping 15-mer peptides, (2) a bioinformatical approach served to predict immunogenic malaria epitopes which were subsequently validated in the assay, and (3) randomly selected peptides from the malaria proteome were screened as a control. Several peptide array replicas were prepared, employing particle-based laser printing, and were used to screen 27 serum samples from a malaria-endemic area in Burkina Faso, West Africa. The immunological status of the individuals was classified as “protected” or “unprotected” based on clinical symptoms, parasite density, and age. The vaccine candidate screening approach resulted in significant hits in all twelve proteins and allowed us (1) to verify many known immunogenic structures, (2) to map B-cell epitopes across the entire sequence of each antigen and (3) to uncover novel immunogenic epitopes. ... mehr

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DOI: 10.1074/mcp.RA118.000992
Zitationen: 11
Web of Science
Zitationen: 10
Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1535-9476, 1535-9484
KITopen-ID: 1000093748
HGF-Programm 47.01.03 (POF III, LK 01) Biol.Netzwerke u.Synth.Regulat. IMT
Erschienen in Molecular & cellular proteomics
Verlag American Society for Biochemistry and Molecular Biology
Band 18
Heft 4
Seiten 642-656
Vorab online veröffentlicht am 10.01.2019
Nachgewiesen in Scopus
Web of Science
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