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
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...
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Published in | Journal of bioscience and bioengineering Vol. 130; no. 2; pp. 217 - 225 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Japan
Elsevier B.V
01.08.2020
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1389-1723 1347-4421 |
DOI: | 10.1016/j.jbiosc.2020.03.003 |