High-throughput single-cell antibody secretion quantification and enrichment using droplet microfluidics-based FRET assay
High-throughput screening and enrichment of antibody-producing cells have many important applications. Herein, we present a droplet microfluidic approach for high-throughput screening and sorting of antibody-secreting cells using a Förster resonance electron transfer (FRET)-based assay. The FRET sig...
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Veröffentlicht in: | iScience 2022-07, Vol.25 (7), p.104515-104515, Article 104515 |
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Sprache: | eng |
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Zusammenfassung: | High-throughput screening and enrichment of antibody-producing cells have many important applications. Herein, we present a droplet microfluidic approach for high-throughput screening and sorting of antibody-secreting cells using a Förster resonance electron transfer (FRET)-based assay. The FRET signal is mediated by the specific binding of the secreted antibody to two fluorescently labeled probes supplied within a droplet. Functional hybridoma cells expressing either membrane-bound or secreted monoclonal antibodies (mAbs), or both, were efficiently differentiated in less than 30 min. The antibody secretion rate by individual hybridoma cells was recorded in the range of 14,000 Abs/min, while the density of membrane-bound fraction was approximately 100 Abs/μm2. Combining the FRET assay with droplet-based single-cell sorting, an 800-fold enrichment of antigen-specific cells was achieved after one round of sorting. The presented system overcomes several key limitations observed in conventional FACS-based screening methods and should be applicable to assaying various other secreted proteins.
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•FRET-based screening assay of antibody-secreting cells in microfluidic droplets•Membrane-bound and secreted antibodies of the same cell are efficiently differentiated•Using mouse hybridoma cells antibody secretion assay is completed in 30 min•FRET-based droplet sorting enables over 800-fold enrichment in one round of sorting
Immunology; Biological sciences; Immunological methods; Biotechnology |
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ISSN: | 2589-0042 2589-0042 |
DOI: | 10.1016/j.isci.2022.104515 |