Literature DB >> 30630936

High-density Peptide Arrays Help to Identify Linear Immunogenic B-cell Epitopes in Individuals Naturally Exposed to Malaria Infection.

Thomas Jaenisch1, Kirsten Heiss2, Nico Fischer3, Carolin Geiger2, F Ralf Bischoff4, Gerhard Moldenhauer4, Leszek Rychlewski5, Ali Sié6, Boubacar Coulibaly6, Peter H Seeberger7, Lucjan S Wyrwicz8, Frank Breitling9, Felix F Loeffler10.   

Abstract

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. Predicting immunogenic regions in the proteome of the human malaria parasite Plasmodium falciparum, via the bioinformatics approach and subsequent array screening, confirmed known immunogenic sequences, such as in the leading malaria vaccine candidate CSP and discovered immunogenic epitopes derived from hypothetical or unknown proteins.
© 2019 Jaenisch et al.

Entities:  

Keywords:  Antibodies*; Biomarker: Diagnostic; Malaria; Peptide array; Peptidomics; epitope mapping

Mesh:

Substances:

Year:  2019        PMID: 30630936      PMCID: PMC6442360          DOI: 10.1074/mcp.RA118.000992

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  126 in total

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3.  Identification of the antigenic epitopes of maternal autoantibodies in autism spectrum disorders.

Authors:  Elizabeth Edmiston; Karen L Jones; Tam Vu; Paul Ashwood; Judy Van de Water
Journal:  Brain Behav Immun       Date:  2017-12-28       Impact factor: 7.217

4.  A prospective study of the association between the human humoral immune response to Plasmodium falciparum blood stage antigen gp190 and control of malarial infections.

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Journal:  Infect Immun       Date:  1993-01       Impact factor: 3.441

5.  Protection against malaria by intravenous immunization with a nonreplicating sporozoite vaccine.

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Journal:  Science       Date:  2013-08-08       Impact factor: 47.728

6.  Immunogenicity of a non-repetitive sequence of Plasmodium falciparum circumsporozoite protein in man and mice.

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9.  Plasmodium falciparum merozoite surface protein 2: epitope mapping and fine specificity of human antibody response against non-polymorphic domains.

Authors:  Saidou Balam; Sope Olugbile; Catherine Servis; Mahamadou Diakité; Alba D'Alessandro; Geraldine Frank; Remy Moret; Issa Nebie; Marcel Tanner; Ingrid Felger; Thomas Smith; Andrey V Kajava; François Spertini; Giampietro Corradin
Journal:  Malar J       Date:  2014-12-19       Impact factor: 2.979

10.  Humoral immune response to Plasmodium falciparum vaccine candidate GMZ2 and its components in populations naturally exposed to seasonal malaria in Ethiopia.

Authors:  Hassen Mamo; Meral Esen; Anthony Ajua; Michael Theisen; Benjamin Mordmüller; Beyene Petros
Journal:  Malar J       Date:  2013-02-05       Impact factor: 2.979

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Review 8.  The Application of Single-Cell RNA Sequencing in Vaccinology.

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