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Sequentially addressable dielectrophoretic array for high-throughput sorting of large-volume biological compartments

Droplet microfluidics has become a powerful tool in precision medicine, green biotechnology, and cell therapy for single-cell analysis and selection by virtue of its ability to effectively confine cells. However, there remains a fundamental trade-off between droplet volume and sorting throughput, li...

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Detalles Bibliográficos
Autores principales: Isozaki, A., Nakagawa, Y., Loo, M. H., Shibata, Y., Tanaka, N., Setyaningrum, D. L., Park, J.-W., Shirasaki, Y., Mikami, H., Huang, D., Tsoi, H., Riche, C. T., Ota, T., Miwa, H., Kanda, Y., Ito, T., Yamada, K., Iwata, O., Suzuki, K., Ohnuki, S., Ohya, Y., Kato, Y., Hasunuma, T., Matsusaka, S., Yamagishi, M., Yazawa, M., Uemura, S., Nagasawa, K., Watarai, H., Di Carlo, D., Goda, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259936/
https://www.ncbi.nlm.nih.gov/pubmed/32524002
http://dx.doi.org/10.1126/sciadv.aba6712
Descripción
Sumario:Droplet microfluidics has become a powerful tool in precision medicine, green biotechnology, and cell therapy for single-cell analysis and selection by virtue of its ability to effectively confine cells. However, there remains a fundamental trade-off between droplet volume and sorting throughput, limiting the advantages of droplet microfluidics to small droplets (<10 pl) that are incompatible with long-term maintenance and growth of most cells. We present a sequentially addressable dielectrophoretic array (SADA) sorter to overcome this problem. The SADA sorter uses an on-chip array of electrodes activated and deactivated in a sequence synchronized to the speed and position of a passing target droplet to deliver an accumulated dielectrophoretic force and gently pull it in the direction of sorting in a high-speed flow. We use it to demonstrate large-droplet sorting with ~20-fold higher throughputs than conventional techniques and apply it to long-term single-cell analysis of Saccharomyces cerevisiae based on their growth rate.