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An Automated Single-Cell Droplet-Digital Microfluidic Platform for Monoclonal Antibody Discovery
Fatemeh Ahmadi1,2, Hao Tran1, Natasha Letourneau3
1Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montréal, Québec, H3G 1M8, Canada.
Small (Weinheim an Der Bergstrasse, Germany)
|March 5, 2024
Summary
This study introduces a novel droplet microfluidics method for efficient monoclonal antibody discovery. The platform streamlines cell washing and media exchange, improving the identification of high-performing antibody-producing hybridoma cells.
Area of Science:
- Biotechnology
- Microfluidics
- Immunology
Background:
- Monoclonal antibody (mAb) discovery is crucial for diagnostics and therapeutics.
- Droplet microfluidics enables high-throughput screening of antibody-producing cells.
- Current methods face challenges with in-droplet washing and media exchange.
Purpose of the Study:
- To develop an improved droplet microfluidics platform for monoclonal antibody discovery.
- To enable on-demand co-encapsulation and efficient in-droplet washing and media exchange.
- To enhance the identification of high-performing or rare antibody-producing hybridoma cells.
Main Methods:
- Development of a new droplet microfluidics system for on-demand cell co-encapsulation.
- Implementation of streamlined in-droplet washing and fresh media addition capabilities.
- Utilizing antibody-characterization assays for screening and selection of hybridoma cells.
Main Results:
- The new platform successfully performs on-demand co-encapsulation of cells within droplets.
- Efficient washing and media exchange steps were achieved without compromising cell viability or assay performance.
- The system facilitates the identification of hybridoma cells expressing antibodies of interest.
Conclusions:
- The developed droplet microfluidics method offers a streamlined approach for monoclonal antibody discovery.
- This technology addresses key limitations in existing droplet-based screening platforms.
- The platform is effective for identifying potent or rare antibody candidates for therapeutic and diagnostic applications.

