摘要：SummaryThe accumulation of massive single-cell omics data provides growing resources for building biomolecular atlases of all cells of human organs or the whole body. The true assembly of a cell atlas should be cell-centric rather than file-centric. We developed a unified informatics framework for seamless cell-centric data assembly and built the human Ensemble Cell Atlas (hECA) from scattered data. hECA v1.0 assembled 1,093,299 labeled human cells from 116 published datasets, covering 38 organs and 11 systems. We invented three new methods of atlas applications based on the cell-centric assembly: “in data” cell sorting for targeted data retrieval with customizable logic expressions, “quantitative portraiture” for multi-view representations of biological entities, and customizable reference creation for generating references for automatic annotations. Case studies on agile construction of user-defined sub-atlases and “in data” investigation of CAR-T off-targets in multiple organs showed the great potential enabled by the cell-centric ensemble atlas.Graphical abstractDisplay OmittedHighlights•A unified informatics framework for seamless cell-centric assembly of massive single-cell data•Built the general-purpose human Ensemble Cell Atlas (hECA) V1.0 from scattered data•Three new methods of applications enabling “in data” cell experiments and portraiture•Case studies of agile atlas reconstruction and target therapies side-effect discoveryCell biology; Stem cells research; Bioinformatics.
