Microfluidics-free single-cell genomics with templated emulsification

Clark, Iain C.; Fontanez, Kristina M.; Meltzer, Robert H.; Xue, Yi; Hayford, Corey E.; May‐Zhang, Aaron A.; D’Amato, Chris; Osman, Ahmad; Zhang, Jesse Q.; Hettige, Pabodha; Ishibashi, Jacob S. A.; Delley, Cyrille L.; Weisgerber, Daniel W.; Replogle, Joseph M.; Jost, Marco; Phong, Kiet T.; Kennedy, Vanessa E.; Peretz, Cheryl A.C.; Kim, Esther A.; Song, Siyou; Karlon, William; Weissman, Jonathan S.; Smith, Catherine C.; Gartner, Zev J.; Abate, Adam R.

doi:10.1038/s41587-023-01685-z

articleNature BiotechnologyMar 6, 2023HYBRID OA

Microfluidics-free single-cell genomics with templated emulsification

ICIain C. Clark KMKristina M. Fontanez RHRobert H. Meltzer YXYi Xue CECorey E. Hayford

QB3 · University of California, Berkeley · +8 more institutions

PubMed

Indexed incrossrefpubmed

Abstract

Current single-cell RNA-sequencing approaches have limitations that stem from the microfluidic devices or fluid handling steps required for sample processing. We develop a method that does not require specialized microfluidic devices, expertise or hardware. Our approach is based on particle-templated emulsification, which allows single-cell encapsulation and barcoding of cDNA in uniform droplet emulsions with only a vortexer. Particle-templated instant partition sequencing (PIP-seq) accommodates a wide range of emulsification formats, including microwell plates and large-volume conical tubes, enabling thousands of samples or millions of cells to be processed in minutes. We demonstrate that PIP-seq produces…

Citation impact

205

total citations

FWCI: 30.86
Percentile: 100%
References: 82

Citations per year

Authors

25

Topics & keywords

Topics

Keywords

Microfluidics
Computational biology
Single-cell analysis
Workflow
Nanotechnology
Computer science
Genomics
DNA sequencing

No related works found for this paper.