Expediting Antibody Discovery with a Cell and Bead Multiplexed Competition Assay.

SLAS Discov

1 Intellicyt, A Sartorius Brand, Albuquerque, NM, USA.

Published: August 2018

AI Article Synopsis

  • Monoclonal antibodies are rapidly emerging as a key class of biopharmaceuticals due to advancements in molecular engineering and humanization, which enhance their effectiveness.
  • A new high-throughput assay developed for antibody discovery simplifies the process by identifying and quantifying mouse IgG isotypes without the need for washing, thus reducing time and variability in results.
  • This assay allows for accurate measurements of antibody concentration and cell health, facilitating faster antibody cloning and production while generating valuable data on monoclonal versus polyclonal samples.

Article Abstract

With advances in molecular engineering and humanization, monoclonal antibodies are one of the fastest-growing classes of biopharmaceuticals. During antibody discovery, antibody from hybridoma or primary B-cell supernatants is screened for the desired binding characteristics, and secondary screens measure antibody function and concentration, identify immunoglobulin G (IgG) isotype, and assess cell health. In order to expedite the antibody discovery process, we developed a high-throughput, multiplexed cell and bead-based competition assay that identifies and quantitates mouse IgG isotypes and assesses cell health. No differences in assay performance were observed between single and multiplex formats. The linear range of the assay was from 0.5 to 50 µg/mL, and washing was not required, decreasing assay time and variability. Slight modifications to the protocol allowed quantification of dilute antibody supernatants (0.1-5 µg/mL). Using hybridoma cultures, we showed that cell viability measurements in the assay did not interfere with the bead-based IgG measurements. The assay described here is a simple mix-and-read, no-dilution screen that can reduce the time to antibody cloning and production. The high-content data can differentiate monoclonal and polyclonal wells, determine IgG quantity for downstream functional assays, provide isotype information, and monitor cell proliferation and viability.

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Source
http://dx.doi.org/10.1177/2472555218776308DOI Listing

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