{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Diehl MI"],"funding":["NCI NIH HHS","University of Chicago Comprehensive","National Institutes of Health","Cancer Center (UCCCC, United States) Cancer Center Support"],"pagination":["112014"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7415733"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["393(2)"],"pubmed_abstract":["Understanding interactions between immune cells and their targets is an important step on the path to fully characterizing the immune system, and in doing so, learning how it combats disease. Many studies of these interactions have a narrow focus, often looking only at a binary result of whether or not a specific treatment was successful or only focusing on the interactions between two individual cells. Therefore, in an effort to more comprehensively study multicellular interactions among immune cells and their targets, we used in vitro longitudinal time-lapse imaging and developed an automated cell cluster analysis tool, or macro, to investigate the formation of cell clusters. In particular, we investigated the behavior of cancer-specific CD8<sup>+</sup> and CD4<sup>+</sup> T cells on how"],"journal":["Experimental cell research"],"pubmed_title":["Automated cell cluster analysis provides insight into multi-cell-type interactions between immune cells and their targets."],"pmcid":["PMC7415733"],"funding_grant_id":["R01 CA037156","R01-CA37516","R01-CA22677","P30CA014599","R01 CA022677","P30 CA014599"],"pubmed_authors":["Wolf SP","Bindokas VP","Diehl MI","Schreiber H"],"additional_accession":[]},"is_claimable":false,"name":"Automated cell cluster analysis provides insight into multi-cell-type interactions between immune cells and their targets.","description":"Understanding interactions between immune cells and their targets is an important step on the path to fully characterizing the immune system, and in doing so, learning how it combats disease. Many studies of these interactions have a narrow focus, often looking only at a binary result of whether or not a specific treatment was successful or only focusing on the interactions between two individual cells. Therefore, in an effort to more comprehensively study multicellular interactions among immune cells and their targets, we used in vitro longitudinal time-lapse imaging and developed an automated cell cluster analysis tool, or macro, to investigate the formation of cell clusters. In particular, we investigated the behavior of cancer-specific CD8<sup>+</sup> and CD4<sup>+</sup> T cells on how","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Aug","modification":"2025-04-04T00:38:35.388Z","creation":"2022-02-11T06:36:26.408Z"},"accession":"S-EPMC7415733","cross_references":{"pubmed":["32439494"],"doi":["10.1016/j.yexcr.2020.112014"]}}