High-throughput screening of hybridoma supernatants using multiplexed fluorescent cell barcoding on live cells.
J Immunol Methods
; 451: 20-27, 2017 12.
Article
em En
| MEDLINE
| ID: mdl-28803843
With current available assay formats using either immobilized protein (ELISA, enzyme-linked immunosorbent assay) or immunostaining of fixed cells for primary monoclonal antibody (mAb) screening, researchers often fail to identify and characterize antibodies that recognize the native conformation of cell-surface antigens. Therefore, screening using live cells has become an integral and important step contributing to the successful identification of therapeutic antibody candidates. Thus the need for developing high-throughput screening (HTS) technologies using live cells has become a major priority for therapeutic mAb discovery and development. We have developed a novel technique called Multiplexed Fluorescent Cell Barcoding (MFCB), a flow cytometry-based method based upon the Fluorescent Cell Barcoding (FCB) technique and the Luminex fluorescent bead array system, but is applicable to high-through mAb screens on live cells. Using this technique in our system, we can simultaneously identify or characterize the antibody-antigen binding of up to nine unique fluorescent labeled cell populations in the time that it would normally take to process a single population. This has significantly reduced the amount of time needed for the identification of potential lead candidates. This new technology enables investigators to conduct large-scale primary hybridoma screens using flow cytometry. This in turn has allowed us to screen antibodies more efficiently than before and streamline identification and characterization of lead molecules.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Separação Celular
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Ensaios de Triagem em Larga Escala
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Citometria de Fluxo
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Corantes Fluorescentes
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Hibridomas
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Anticorpos Monoclonais
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Antígenos de Superfície
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
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Screening_studies
Limite:
Animals
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Female
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Humans
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article