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Author Spotlight: Integrating Computational and Experimental Approaches in Precision Oncology
Published on: December 1, 2023
Microfluidic particle zipper enables controlled loading of droplets with distinct particle types
Cyrille L Delley1, Adam R Abate
1Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA. adam@abatelab.org.
Abstract:
Current encapsulation approaches control the number of particles encapsulated per droplet, but not the particle types; consequently, they are unable to generate droplets containing combinations of distinct particle types, limiting the reactions that can be performed. We describe a microfluidic particle zipper that allows the number and types of particles encapsulated in every droplet to be controlled. The approach exploits self-ordering to generate repeating particle patterns that allow controlled encapsulation in droplets. We use the method to combine barcode particles with gel encapsulated cells to profile multiple disease relevant genomic loci with single cell sequencing. Particle zippers can operate in series to generate complex particle compositions in droplets.

