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A multiplex label-free approach to avian influenza surveillance and serology

Bucukovski, Joseph ; Latorre-Margalef, Neus LU ; Stallknecht, David E. and Miller, Benjamin L. (2015) In PLoS ONE 10(8).
Abstract

Influenza serology has traditionally relied on techniques such as hemagglutination inhibition, microneutralization, and ELISA. These assays are complex, challenging to implement in a format allowing detection of several types of antibody-analyte interactions at once (multiplex), and troublesome to implement in the field. As an alternative, we have developed a hemagglutinin microarray on the Arrayed Imaging Reflectometry (AIR) platform. AIR provides sensitive, rapid, and label-free multiplex detection of targets in complex analyte samples such as serum. In preliminary work, we demonstrated the application of this array to the testing of human samples from a vaccine trial. Here, we report the application of an expanded label-free... (More)

Influenza serology has traditionally relied on techniques such as hemagglutination inhibition, microneutralization, and ELISA. These assays are complex, challenging to implement in a format allowing detection of several types of antibody-analyte interactions at once (multiplex), and troublesome to implement in the field. As an alternative, we have developed a hemagglutinin microarray on the Arrayed Imaging Reflectometry (AIR) platform. AIR provides sensitive, rapid, and label-free multiplex detection of targets in complex analyte samples such as serum. In preliminary work, we demonstrated the application of this array to the testing of human samples from a vaccine trial. Here, we report the application of an expanded label-free hemagglutinin microarray to the analysis of avian serum samples. Samples from influenza virus challenge experiments in mallards yielded strong, selective detection of antibodies to the challenge antigen in most cases. Samples acquired in the field from mallards were also analyzed, and compared with viral hemagglutinin inhibition and microneutralization assays. We find that the AIR hemagglutinin microarray can provide a simple and robust alternative to standard methods, offering substantially greater information density from a simple workflow.

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author
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publishing date
type
Contribution to journal
publication status
published
subject
in
PLoS ONE
volume
10
issue
8
article number
e0134484
publisher
Public Library of Science (PLoS)
external identifiers
  • scopus:84942337469
ISSN
1932-6203
DOI
10.1371/journal.pone.0134484
language
English
LU publication?
no
id
03baddbf-af8d-49b6-b2dd-07c42318e3c3
date added to LUP
2017-04-11 14:00:41
date last changed
2022-03-09 02:16:00
@article{03baddbf-af8d-49b6-b2dd-07c42318e3c3,
  abstract     = {{<p>Influenza serology has traditionally relied on techniques such as hemagglutination inhibition, microneutralization, and ELISA. These assays are complex, challenging to implement in a format allowing detection of several types of antibody-analyte interactions at once (multiplex), and troublesome to implement in the field. As an alternative, we have developed a hemagglutinin microarray on the Arrayed Imaging Reflectometry (AIR) platform. AIR provides sensitive, rapid, and label-free multiplex detection of targets in complex analyte samples such as serum. In preliminary work, we demonstrated the application of this array to the testing of human samples from a vaccine trial. Here, we report the application of an expanded label-free hemagglutinin microarray to the analysis of avian serum samples. Samples from influenza virus challenge experiments in mallards yielded strong, selective detection of antibodies to the challenge antigen in most cases. Samples acquired in the field from mallards were also analyzed, and compared with viral hemagglutinin inhibition and microneutralization assays. We find that the AIR hemagglutinin microarray can provide a simple and robust alternative to standard methods, offering substantially greater information density from a simple workflow.</p>}},
  author       = {{Bucukovski, Joseph and Latorre-Margalef, Neus and Stallknecht, David E. and Miller, Benjamin L.}},
  issn         = {{1932-6203}},
  language     = {{eng}},
  month        = {{08}},
  number       = {{8}},
  publisher    = {{Public Library of Science (PLoS)}},
  series       = {{PLoS ONE}},
  title        = {{A multiplex label-free approach to avian influenza surveillance and serology}},
  url          = {{http://dx.doi.org/10.1371/journal.pone.0134484}},
  doi          = {{10.1371/journal.pone.0134484}},
  volume       = {{10}},
  year         = {{2015}},
}