Evidence map›Paper›PMID 29985597›Full record

ArticleAnalytical chemistry2018

Crowd on a Chip: Label-Free Human Monoclonal Antibody Arrays for Serotyping Influenza.

Hanyuan Zhang, Carole Henry, Christopher S Anderson, Aitor Nogales, Marta L DeDiego, Joseph Bucukovski, Luis Martinez-Sobrido, Patrick C Wilson, David J Topham, Benjamin L Miller

Abstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hanyuan ZhangDepartment of Dermatology , University of Rochester Medical Center , Rochester , New York 14642 , United States.
Carole HenryDepartment of Medicine , University of Chicago , Chicago , Illinois 60637 , United States.
Christopher S AndersonDepartment of Microbiology and Immunology , University of Rochester Medical Center , Rochester , New York 14642 , United States.
Aitor NogalesDepartment of Microbiology and Immunology , University of Rochester Medical Center , Rochester , New York 14642 , United States.
Marta L DeDiegoDepartment of Microbiology and Immunology , University of Rochester Medical Center , Rochester , New York 14642 , United States.
Joseph BucukovskiDepartment of Dermatology , University of Rochester Medical Center , Rochester , New York 14642 , United States.
Luis Martinez-SobridoDepartment of Microbiology and Immunology , University of Rochester Medical Center , Rochester , New York 14642 , United States.
Patrick C WilsonDepartment of Medicine , University of Chicago , Chicago , Illinois 60637 , United States.
David J TophamDepartment of Microbiology and Immunology , University of Rochester Medical Center , Rochester , New York 14642 , United States.
Benjamin L MillerDepartment of Dermatology , University of Rochester Medical Center , Rochester , New York 14642 , United States.ORCID 0000-0001-9168-8047

Funding

Toward a Universal Influenza Virus VaccineP01AI097092 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GARCIA-SASTRE, ADOLFO · 2012 to 2022
$17.6M
NIAID NIH HHS HHSN272201400005CNIAID NIH HHS P01 AI097092
6 · The paper itself

Abstract

Rapid changes in influenza A virus (IAV) antigenicity create challenges in surveillance, disease diagnosis, and vaccine development. Further, serological methods for studying antigenic properties of influenza viruses often rely on animal models and therefore may not fully reflect the dynamics of human immunity. We hypothesized that arrays of human monoclonal antibodies (hmAbs) to influenza could be employed in a pattern-recognition approach to expedite IAV serology and to study the antigenic evolution of newly emerging viruses. Using the multiplex, label-free Arrayed Imaging Reflectometry (AIR) platform, we have demonstrated that such arrays readily discriminated among various subtypes of IAVs, including H1, H3 seasonal strains, and avian-sourced human H7 viruses. Array responses also allowed the first determination of antigenic relationships among IAV strains directly from hmAb responses. Finally, correlation analysis of antibody binding to all tested IAV subtypes allowed efficient identification of broadly reactive clones. In addition to specific applications in the context of understanding influenza biology with potential utility in "universal" flu vaccine development, these studies validate AIR as a platform technology for studying antigenic properties of viruses and also antibody properties in a high-throughput manner. We further anticipate that this approach will facilitate advances in the study of other viral pathogens.

Indexed as

Antibodies, ImmobilizedAntibodies, MonoclonalAntibodies, ViralHumansInfluenza A virusInfluenza, HumanProtein Array AnalysisSerotypingAntibodies, ImmobilizedAntibodies, MonoclonalAntibodies, Viral

Identifiers

PMID29985597
PMCPMC6082710

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.