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- Title
spinDrop: a droplet microfluidic platform to maximise single-cell sequencing information content.
- Authors
De Jonghe, Joachim; Kaminski, Tomasz S.; Morse, David B.; Tabaka, Marcin; Ellermann, Anna L.; Kohler, Timo N.; Amadei, Gianluca; Handford, Charlotte E.; Findlay, Gregory M.; Zernicka-Goetz, Magdalena; Teichmann, Sarah A.; Hollfelder, Florian
- Abstract
Droplet microfluidic methods have massively increased the throughput of single-cell sequencing campaigns. The benefit of scale-up is, however, accompanied by increased background noise when processing challenging samples and the overall RNA capture efficiency is lower. These drawbacks stem from the lack of strategies to enrich for high-quality material or specific cell types at the moment of cell encapsulation and the absence of implementable multi-step enzymatic processes that increase capture. Here we alleviate both bottlenecks using fluorescence-activated droplet sorting to enrich for droplets that contain single viable cells, intact nuclei, fixed cells or target cell types and use reagent addition to droplets by picoinjection to perform multi-step lysis and reverse transcription. Our methodology increases gene detection rates fivefold, while reducing background noise by up to half. We harness these properties to deliver a high-quality molecular atlas of mouse brain development, despite starting with highly damaged input material, and provide an atlas of nascent RNA transcription during mouse organogenesis. Our method is broadly applicable to other droplet-based workflows to deliver sensitive and accurate single-cell profiling at a reduced cost. Droplet microfluidics enables high-throughput single-cell sequencing, but often with increased noise. Here the authors report spinDrop (sorting picoinjection inDrop) to increase gene detection and reduce noise; they use this to generate a high-quality molecular atlas of mouse brain development.
- Subjects
NEURAL development; MICROFLUIDICS
- Publication
Nature Communications, 2023, Vol 14, Issue 1, p1
- ISSN
2041-1723
- Publication type
Article
- DOI
10.1038/s41467-023-40322-w