{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Madrigal JL"],"funding":["HHS | National Institutes of Health","Defense Sciences Office, DARPA"],"pagination":["e2110867119"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8812558"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["119(5)"],"pubmed_abstract":["Cell-cell interactions are important to numerous biological systems, including tissue microenvironments, the immune system, and cancer. However, current methods for studying cell combinations and interactions are limited in scalability, allowing just hundreds to thousands of multicell assays per experiment; this limited throughput makes it difficult to characterize interactions at biologically relevant scales. Here, we describe a paradigm in cell interaction profiling that allows accurate grouping of cells and characterization of their interactions for tens to hundreds of thousands of combinations. Our approach leverages high-throughput droplet microfluidics to construct multicellular combinations in a deterministic process that allows inclusion of programmed reagent mixtures and beads. Th"],"journal":["Proceedings of the National Academy of Sciences of the United States of America"],"pubmed_title":["Characterizing cell interactions at scale with made-to-order droplet ensembles (MODEs)."],"pmcid":["PMC8812558"],"funding_grant_id":["1R43HG010592","D17PC00405","1R43HG010128"],"pubmed_authors":["Schoepp NG","Xu L","Danao J","Delley CL","Powell CS","Siltanen CA","Abate AR","Srinivasan M","Cole RH","Madrigal JL"],"additional_accession":[]},"is_claimable":false,"name":"Characterizing cell interactions at scale with made-to-order droplet ensembles (MODEs).","description":"Cell-cell interactions are important to numerous biological systems, including tissue microenvironments, the immune system, and cancer. However, current methods for studying cell combinations and interactions are limited in scalability, allowing just hundreds to thousands of multicell assays per experiment; this limited throughput makes it difficult to characterize interactions at biologically relevant scales. Here, we describe a paradigm in cell interaction profiling that allows accurate grouping of cells and characterization of their interactions for tens to hundreds of thousands of combinations. Our approach leverages high-throughput droplet microfluidics to construct multicellular combinations in a deterministic process that allows inclusion of programmed reagent mixtures and beads. Th","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Feb","modification":"2025-04-27T01:09:52.213Z","creation":"2025-04-06T18:08:01.965Z"},"accession":"S-EPMC8812558","cross_references":{"pubmed":["35074872"],"doi":["10.1073/pnas.2110867119"]}}