Evidence map›Paper›PMID 29089574›Full record

ArticleScientific reports2017

High throughput discovery of influenza virus neutralizing antibodies from phage-displayed synthetic antibody libraries.

Ing-Chien Chen, Yi-Kai Chiu, Chung-Ming Yu, Cheng-Chung Lee, Chao-Ping Tung, Yueh-Liang Tsou, Yi-Jen Huang, Chia-Lung Lin, Hong-Sen Chen, Andrew H-J Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

17 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
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  4. Trends in nano-platforms for the treatment of viral infectious diseases.The Korean journal of chemical engineering · 2023
    Review
  5. Article
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  16. Structural Insights for Anti-Influenza Vaccine Design.Computational and structural biotechnology journal · 2019
    Review
  17. Article
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

11 authors at 2 institutions in 1 country.

Ing-Chien ChenGenomics Research Center, Academia Sinica, 115, Taipei, Taiwan.
Yi-Kai ChiuGenomics Research Center, Academia Sinica, 115, Taipei, Taiwan.
Chung-Ming YuGenomics Research Center, Academia Sinica, 115, Taipei, Taiwan.
Cheng-Chung LeeInstitute of Biological Chemistry, Academia Sinica, 115, Taipei, Taiwan.
Chao-Ping TungGenomics Research Center, Academia Sinica, 115, Taipei, Taiwan.ORCID 0000-0002-8699-3167
Yueh-Liang TsouGenomics Research Center, Academia Sinica, 115, Taipei, Taiwan.
Yi-Jen HuangGenomics Research Center, Academia Sinica, 115, Taipei, Taiwan.
Chia-Lung LinGenomics Research Center, Academia Sinica, 115, Taipei, Taiwan.
Hong-Sen ChenGenomics Research Center, Academia Sinica, 115, Taipei, Taiwan.
Andrew H-J WangInstitute of Biological Chemistry, Academia Sinica, 115, Taipei, Taiwan.
An-Suei YangGenomics Research Center, Academia Sinica, 115, Taipei, Taiwan. yangas@gate.sinica.edu.tw.
Genomics Research Center, Academia Sinica · TWInstitute of Biological Chemistry, Academia Sinica · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pandemic and epidemic outbreaks of influenza A virus (IAV) infection pose severe challenges to human society. Passive immunotherapy with recombinant neutralizing antibodies can potentially mitigate the threats of IAV infection. With a high throughput neutralizing antibody discovery platform, we produced artificial anti-hemagglutinin (HA) IAV-neutralizing IgGs from phage-displayed synthetic scFv libraries without necessitating prior memory of antibody-antigen interactions or relying on affinity maturation essential for in vivo immune systems to generate highly specific neutralizing antibodies. At least two thirds of the epitope groups of the artificial anti-HA antibodies resemble those of natural protective anti-HA antibodies, providing alternatives to neutralizing antibodies from natural antibody repertoires. With continuing advancement in designing and constructing synthetic scFv libraries, this technological platform is useful in mitigating not only the threats of IAV pandemics but also those from other newly emerging viral infections.

Indexed as

Antibodies, NeutralizingAntibodies, ViralBacteriophagesDisease OutbreaksEpitopesHemagglutinin Glycoproteins, Influenza VirusHigh-Throughput Screening AssaysHumansInfluenza A virusInfluenza A Virus, H1N1 SubtypeInfluenza, HumanOrthomyxoviridaePandemicsSingle-Chain AntibodiesAntibodies, NeutralizingAntibodies, ViralEpitopesHemagglutinin Glycoproteins, Influenza VirusSingle-Chain Antibodies

Identifiers

PMID29089574
PMCPMC5663709
OpenAlexW2766019886

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.