Kawasaki F, Mori Y, Mimori T, Sato I, Ota S. Identification of In-Droplet Multicellular Communities by Light-Induced Combinatorial DNA Barcoding.
Chemistry 2023;
29:e202301133. [PMID:
37404204 DOI:
10.1002/chem.202301133]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/30/2023] [Accepted: 07/03/2023] [Indexed: 07/06/2023]
Abstract
A microdroplet co-culture system is useful for the parallel assessment of numerous possible cell-cell interactions by generating isolated subcommunities from a pool of heterogeneous cells. However, the integration of single-cell sequencing into such analysis has been limited due to the lack of effective molecular identifiers for each in-droplet subcommunity. Herein, we present a strategy for generating in-droplet subcommunity identifiers using DNA-functionalized microparticles encapsulated within microdroplets. These microparticles serve as initial information carriers, where their combinations act as distinct identifiers for in-droplet subcommunity. Upon optical trigger, DNA barcoding molecules encoding the microparticle information are once released in the microdroplets and then tag cell membranes. The tagged DNA molecules then serve as a second information carrier readable by single-cell sequencing to reconstitute the community in silico in the single-cell RNA sequencing data space.
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