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AbstractArthropod-borne viruses represent a crucial public health threat. Current arboviral serology assays are either labor intensive or incapable of distinguishing closely related viruses, and many zoonotic arboviruses that may transition to humans lack any serologic assays. In this study, we present a programmable phage display platform, ArboScan, that evaluates antibody binding to overlapping peptides that represent the proteomes of 691 human and zoonotic arboviruses. We confirm that ArboScan provides detailed antibody binding information from animal sera, human sera, and an arthropod blood meal. ArboScan identifies distinguishing features of antibody responses based on exposure history in a Colombian cohort of Zika patients. Finally, ArboScan details epitope level information that rapidly identifies candidate epitopes with potential protective significance. ArboScan thus represents a resource for characterizing human and animal arbovirus antibody responses at cohort scale.
Male, Proteome, Zika Virus Infection, Science, Q, Zika Virus, Arbovirus Infections, Colombia, Antibodies, Viral, Article, Epitopes, Peptide Library, Humans, Animals, Serologic Tests, Female, Peptides, Cell Surface Display Techniques, Arboviruses
Male, Proteome, Zika Virus Infection, Science, Q, Zika Virus, Arbovirus Infections, Colombia, Antibodies, Viral, Article, Epitopes, Peptide Library, Humans, Animals, Serologic Tests, Female, Peptides, Cell Surface Display Techniques, Arboviruses
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |