Open AccessCharacterizing cell interactions at scale with made-to-order droplet ensembles (MODEs)
Author(s) -
Justin L. Madrigal,
Nathan G. Schoepp,
Linfeng Xu,
Codian S. Powell,
Cyrille L. Delley,
Christian Siltanen,
Jay Danao,
Maithreyan Srinivasan,
Russell H. Cole,
Adam R. Abate
Publication year - 2022
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2110867119
Subject(s) - microfluidics , multicellular organism , computer science , bottleneck , scalability , biological system , chimeric antigen receptor , computational biology , nanotechnology , cell , chemistry , biology , materials science , immune system , immunotherapy , biochemistry , database , immunology , embedded system
Significance The study of specific cell–cell interactions at scale would be a significant advancement in single-cell biology with clear utility in immuno-oncology. Our development of Droplet Assembly provides a tool for such studies by extending the benefits of single-cell droplet microfluidics to high-order cell analyses. This technology allows for the construction, sorting, and downstream processing of cell–cell interactions and is compatible with single-cell genomic readouts.