Cited by 7Influenza Virus Research StudiesMonoclonal and Polyclonal Antibodies ResearchBiosensors and Analytical Detection

Development of a dual monoclonal antibody sandwich enzyme-linked immunosorbent assay for the detection of swine influenza virus using rabbit monoclonal antibody by Ecobody technology

Sila-on, Daorung, Chertchinnapa, Phornnaphat, Shinkai, Yusuke, Kojima, Takaaki, Nakano, Hideo·2020·Journal of Bioscience and Bioengineering

Abstract

A dual monoclonal antibody sandwich enzyme-linked immunosorbent assay (mAb sandwich ELISA) has been developed using rabbit monoclonal antibodies generated by Ecobody technology, which includes the isolation of single B cells binding to a specific antigen, amplification of the heavy and light chains of these immunoglobulins, and expression of the fragment of antigen binding (Fab) by cell-free protein synthesis (CFPS). A rabbit was immunized with swine influenza virus (SIV) vaccine, from which single B cells binding to the antigen were isolated. Then, immunoglobulin mRNA was amplified from single cells by reverse transcription-polymerase chain reaction, followed by the attachment of a T7 promoter, appropriate tags, and a T7 terminator for the expression of the Fab portion by CFPS. By taking advantage of two different peptide tags fused to the same Fab, optimal combinations for coating Fab on assay plates and detecting Fab, both synthesized by CFPS, were investigated for mAb sandwich ELISA. Pairs of Fab detected 0.5 ng SIV in the assay. In summary, this result showed the applicability of Ecobody technology for a variety of immunodetection kits for high throughput analyses.

Integrity signals

Registry

Crossref · 10.1016/j.jbiosc.2020.03.003

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The Ecobody technology has been successfully employed to produce two Fab fragments needed to set up a rapid ELISA assay for detection of swine influenza virus.

    “Recently, the Ecobody technology has been successfully employed to produce two Fab fragments needed to set up a rapid ELISA assay for the detection of swine influenza virus [183].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Sila-on, D., Chertchinnapa, P., Shinkai, Y., Kojima, T., & Nakano, H.
Affiliations
Nagoya University (JP)
Corresponding author
Nakano, Hideo
Venue
Journal of Bioscience and Bioengineering
Publisher
Elsevier BV
Published
2020-08
Volume
130
Issue
2
Pages
217-225
ISSN
  • 1347-4421 (ISSN-L)
  • 1389-1723
OpenAlex
W3015827557
Cited by
7
References
1
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2020: 2
FWCI
0.36
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Bioscience and Bioengineering (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Japan Society for the Promotion of Science (JP17H03468, JP19H02523)
  • Ministry of Education, Culture, Sports, Science and Technology
Topics
  • Health Sciences › Medicine › Epidemiology › Influenza Virus Research Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
  • Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
Keywords
swine influenza virus, rabbit monoclonal antibodies, cell-free protein synthesis, Fab fragment, peptide tags, high-throughput immunoassay
MeSH terms
Animals, Antibodies, Monoclonal, B-Lymphocytes, Enzyme-Linked Immunosorbent Assay, Immunoglobulin Fab Fragments, Immunologic Tests, Orthomyxoviridae, Orthomyxoviridae Infections, Protein Biosynthesis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review