The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Microfluidic high-throughput encapsulation and hydrodynamic self-sorting of single cells
Open accessAbstract
We present a purely hydrodynamic method for the high-throughput encapsulation of single cells into picoliter droplets, and spontaneous self-sorting of these droplets. Encapsulation uses a cell-triggered Rayleigh–Plateau instability in a flow-focusing geometry, and self-sorting puts to work two extra hydrodynamic mechanisms: lateral drift of deformable objects in a shear flow, and sterically driven dispersion in a compressional flow. Encapsulation and sorting are achieved on-flight in continuous flow at a rate up to 160 cells per second. The whole process is robust and cost-effective, involving no optical or electrical discrimination, active sorting, flow switching, or moving parts. Successful encapsulation and sorting of 70–80% of the injected cell population into drops containing one and only one cell, with <1% contamination by empty droplets, is demonstrated. The system is also applied to the direct encapsulation and sorting of cancerous lymphocytes from a whole blood mixture, yielding individually encapsulated cancer cells with a >10,000-fold enrichment as compared with the initial mix. The method can be implemented in simple “soft lithography” chips, allowing for easy downstream coupling with microfluidic cell biology or molecular biology protocols.
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Cites
Genome sequencing in microfabricated high-density picolitre reactors
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Dynamic Pattern Formation in a Vesicle-Generating Microfluidic Device
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Lab-on-a-chip: microfluidics in drug discovery
Dittrich, P. S., & Manz, A. (2006) · Nature Reviews Drug Discovery · doi:10.1038/nrd1985 · Cited by 1,844
Noise in Gene Expression: Origins, Consequences, and Control
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BackgroundControl, exploitation and tolerance of intracellular noise
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Cited by
Seemann, R., Brinkmann, M., Pfohl, T., & Herminghaus, S. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/1/016601 · Cited by 1,049
Surfactants in droplet-based microfluidics
Baret, J.-C. (2012) · Lab Chip · doi:10.1039/c1lc20582j · Cited by 649
Boedicker, J. Q., Li, L., Kline, T. R., & Ismagilov, R. F. (2008) · Lab on a Chip · doi:10.1039/b804911d · Cited by 438
Dripping and jetting in microfluidic multiphase flows applied to particle and fibre synthesis
Nunes, J. K., Tsai, S. S. H., Wan, J., & Stone, H. A. (2013) · Journal of Physics D: Applied Physics · doi:10.1088/0022-3727/46/11/114002 · Cited by 406
Industrial lab-on-a-chip: Design, applications and scale-up for drug discovery and delivery
Vladisavljević, G. T., Khalid, N., Neves, M. A., Kuroiwa, T., Nakajima, M., Uemura, K., Ichikawa, S., & Kobayashi, I. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2013.07.017 · Cited by 313
Metadata
- Authors
- Chabert, M., & Viovy, J.-L.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-03-04
- Volume
- 105
- Issue
- 9
- Pages
- 3191-3196
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2091368700
- Cited by
- 344
- References
- 21
- FWCI
- 18.76
- Type
- journal article
- Language
- en
- Open access
- green
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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.
