The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
High-throughput single-cell activity-based screening and sequencing of antibodies using droplet microfluidics
Open accessAbstract
Mining the antibody repertoire of plasma cells and plasmablasts could enable the discovery of useful antibodies for therapeutic or research purposes1. We present a method for high-throughput, single-cell screening of IgG-secreting primary cells to characterize antibody binding to soluble and membrane-bound antigens. CelliGO is a droplet microfluidics system that combines high-throughput screening for IgG activity, using fluorescence-based in-droplet single-cell bioassays2, with sequencing of paired antibody V genes, using in-droplet single-cell barcoded reverse transcription. We analyzed IgG repertoire diversity, clonal expansion and somatic hypermutation in cells from mice immunized with a vaccine target, a multifunctional enzyme or a membrane-bound cancer target. Immunization with these antigens yielded 100–1,000 IgG sequences per mouse. We generated 77 recombinant antibodies from the identified sequences and found that 93% recognized the soluble antigen and 14% the membrane antigen. The platform also allowed recovery of ~450–900 IgG sequences from ~2,200 IgG-secreting activated human memory B cells, activated ex vivo, demonstrating its versatility. Millions of primary IgG-secreting cells from mouse and human are characterized for activity and antibody sequence at the single-cell level.
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Cites
Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells
Klein, A. M., Mazutis, L., Akartuna, I., Tallapragada, N., Veres, A., Li, V., Peshkin, L., Weitz, D. A., & Kirschner, M. W. (2015) · Cell · doi:10.1016/j.cell.2015.04.044 · Cited by 3,356
The promise and challenge of high-throughput sequencing of the antibody repertoire
Georgiou, G., Ippolito, G. C., Beausang, J., Busse, C. E., Wardemann, H., & Quake, S. R. (2014) · Nature Biotechnology · doi:10.1038/nbt.2782 · Cited by 652
High-throughput sequencing of the paired human immunoglobulin heavy and light chain repertoire
DeKosky, B. J., Ippolito, G. C., Deschner, R. P., Lavinder, J. J., Wine, Y., Rawlings, B. M., Varadarajan, N., Giesecke, C., Dörner, T., Andrews, S. F., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2492 · Cited by 410
Busse, C. E., Czogiel, I., Braun, P., Arndt, P. F., & Wardemann, H. (2014) · European Journal of Immunology · doi:10.1002/eji.201343917 · Cited by 121
Cited by
Development and future of droplet microfluidics
Nan, L., Zhang, H., Weitz, D. A., & Shum, H. C. (2024) · Lab on a Chip · doi:10.1039/d3lc00729d · Cited by 253
Deterministic scRNA-seq captures variation in intestinal crypt and organoid composition
Bues, J., Biočanin, M., Pezoldt, J., Dainese, R., Chrisnandy, A., Rezakhani, S., Saelens, W., Gardeux, V., Gupta, R., Sarkis, R., et al. (2022) · Nature Methods · doi:10.1038/s41592-021-01391-1 · Cited by 71
Metadata
- Authors
- Gérard, A., Woolfe, A., Mottet, G., Reichen, M., Castrillon, C., Menrath, V., Ellouze, S., Poitou, A., Doineau, R., Briseno-Roa, L., Canales-Herrerias, P., Mary, P., Rose, G., Ortega, C., Delincé, M., Essono, S., Jia, B., Iannascoli, B., Richard-Le Goff, O., Kumar, R., Stewart, S. N., Pousse, Y., Shen, B., Grosselin, K., Saudemont, B., Sautel-Caillé, A., Godina, A., McNamara, S., Eyer, K., Millot, G. A., Baudry, J., England, P., Nizak, C., Jensen, A., Griffiths, A. D., Bruhns, P., & Brenan, C.
- Venue
- Nature Biotechnology
- Published
- 2020-03-30
- Volume
- 38
- Issue
- 6
- Pages
- 715-721
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W3013072344
- Cited by
- 256
- References
- 4
- FWCI
- 10.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Gérard, A., Woolfe, A., Mottet, G., Reichen, M., Castrillon, C., Menrath, V., Ellouze, S., Poitou, A., Doineau, R., Briseno-Roa, L., Canales-Herrerias, P., Mary, P., Rose, G., Ortega, C., Delincé, M., Essono, S., Jia, B., Iannascoli, B., Richard-Le Goff, O., . . . Brenan, C. (2020). High-throughput single-cell activity-based screening and sequencing of antibodies using droplet microfluidics. Nature Biotechnology. https://doi.org/10.1038/s41587-020-0466-7
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.