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About:
Deconvoluting Virome-Wide Antiviral Antibody Profiling Data
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schema:ScholarlyArticle
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covidontheweb.inria.fr
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Academic Article
research paper
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Deconvoluting Virome-Wide Antiviral Antibody Profiling Data
Creator
Wang, Lin-Fa
Anderson, Danielle
Chia, Wan
Wijaya, Limin
Breitwieser, Florian
Caturegli, Mario
Kammers, Kai
Kottapalli, Sanjay
Larman, H
Monaco, Daniel
Rewers, Marian
Tan, Kevin
Waugh, Kathleen
Yuan, Tiezheng
source
BioRxiv; MedRxiv
abstract
The ability to comprehensively characterize exposures and immune responses to viral infections will be critical to better understanding human health and disease. We previously described the VirScan system, a phage-display based technology for profiling antibody binding to a comprehensive library of peptides designed to represent the human virome. The previous VirScan analytical approach did not fully account for disproportionate representation of viruses in the library or for antibody cross-reactivity among sequences shared by related viruses. Here we present the ‘AntiViral Antibody Response Deconvolution Algorithm’ (‘AVARDA’), a multi-module software package for analyzing VirScan datasets. AVARDA provides a probabilistic assessment of infection at species-level resolution by considering alignment of all library peptides to each other and to all human viruses. We employed AVARDA to analyze VirScan data from a cohort of encephalitis patients with either known viral infections or undiagnosed etiologies. By comparing acute and convalescent sera, AVARDA successfully confirmed or detected antibody responses to human herpesviruses 1, 3, 4, 5, and 6, thereby improving the rate of diagnosing viral encephalitis in this cohort by 62.5%. We further assessed AVARDA’s utility in the setting of an epidemiological study, demonstrating its ability to determine infections acquired in a child followed prospectively from infancy. We consider ways in which AVARDA’s conceptual framework may be further developed in the future and describe how its analyses may be extended beyond investigations of viral infection. AVARDA, in combination with VirScan and other pan-pathogen serological techniques, is likely to find broad utility in the epidemiology and diagnosis of infectious diseases.
has issue date
2018-05-30
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)
bibo:doi
10.1101/333625
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biorxiv
sha1sum (hex)
1a75c4ef6fba1554a76ab7a8addaedfefc230aec
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https://doi.org/10.1101/333625
resource representing a document's title
Deconvoluting Virome-Wide Antiviral Antibody Profiling Data
schema:publication
bioRxiv
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covid:1a75c4ef6fba1554a76ab7a8addaedfefc230aec#body_text
is
schema:about
of
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named entity 'ABILITY TO'
named entity 'PREVIOUSLY'
named entity 'PRESENT'
named entity '62.5'
named entity 'SETTING'
named entity 'PACKAGE'
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named entity 'peptides'
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