Unknown

Dataset Information

0

Single-Cell Droplet Microfluidic Screening for Antibodies Specifically Binding to Target Cells.


ABSTRACT: Monoclonal antibodies are a main player in modern drug discovery. Many antibody screening formats exist, each with specific advantages and limitations. Nonetheless, it remains challenging to screen antibodies for the binding of cell-surface receptors (the most important class of all drug targets) or for the binding to target cells rather than purified proteins. Here, we present a high-throughput droplet microfluidics approach employing dual-color normalized fluorescence readout to detect antibody binding. This enables us to obtain quantitative data on target cell recognition, using as little as 33 fg of IgG per assay. Starting with an excess of hybridoma cells releasing unspecific antibodies, individual clones secreting specific binders (of target cells co-encapsulated into droplets) could be enriched 220-fold after sorting 80,000 clones in a single experiment. This opens the way for therapeutic antibody discovery, especially since the single-cell approach is in principle also applicable to primary human plasma cells.

SUBMITTER: Shembekar N 

PROVIDER: S-EPMC5842027 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Single-Cell Droplet Microfluidic Screening for Antibodies Specifically Binding to Target Cells.

Shembekar Nachiket N   Hu Hongxing H   Eustace David D   Merten Christoph A CA  

Cell reports 20180201 8


Monoclonal antibodies are a main player in modern drug discovery. Many antibody screening formats exist, each with specific advantages and limitations. Nonetheless, it remains challenging to screen antibodies for the binding of cell-surface receptors (the most important class of all drug targets) or for the binding to target cells rather than purified proteins. Here, we present a high-throughput droplet microfluidics approach employing dual-color normalized fluorescence readout to detect antibod  ...[more]

Similar Datasets

| S-EPMC2732882 | biostudies-other
| S-EPMC5933695 | biostudies-literature
| S-EPMC6356270 | biostudies-literature
2018-07-06 | E-MTAB-5988 | biostudies-arrayexpress
2018-07-06 | E-MTAB-5989 | biostudies-arrayexpress
| S-EPMC8753139 | biostudies-literature
| S-EPMC4813300 | biostudies-literature
| S-EPMC9687293 | biostudies-literature
| S-EPMC3406880 | biostudies-other
2018-07-06 | E-MTAB-6831 | biostudies-arrayexpress