hECA: The cell-centric assembly of a cell atlas

The 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 filecentric. 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.

Automated summary

The accumulation of massive single-cell omics data has provided abundant resources for building biomolecular atlases of human organs or the entire body. In this study, a unified informatics framework was developed for seamless cell-centric data assembly, resulting in the construction of the human Ensemble Cell Atlas (hECA) that includes 1,093,299 labeled human cells from 116 published datasets, covering 38 organs and 11 systems. The application of cell-centric assembly methods led to the development of new techniques for targeted data retrieval, multi-view representations of biological entities, and automatic annotation generation, demonstrating the great potential of the cell-centric ensemble atlas.