bioRxiv · 10.1101/2021.07.21.453289
A human ensemble cell atlas (hECA) enables in data cell sorting
Abstract
Single-cell omics data can characterize multifaceted features of massive cells and bring significant insights to biomedical researches. The accumulation of single-cell data provides growing resources for constructing atlases for all cells of a human organ or the whole body. The true assembly of a cell atlas should be cell-centric rather than file-centric. We proposed a unified information framework enabling seamless cell-centric data assembly and developed a human Ensemble Cell Atlas (hECA) as an instance. hECA version 1.0 assembled scRNA-seq data across multiple studies into one orchestrated data repository. It contains 1,093,299 labeled cells and metadata from 116 published human single-cell studies, covering 38 human organs and 11 systems. We invented three methods of applications based on the cell-centric assembly: "In data" cell sorting enables targeted data retrieval in the full atlas with customizable logic expressions; The "quantitative portraiture" system provides a multi-view presentation of biological entities (organs, cell types, and genes) of multiple granularities; The customizable reference creation allows users to use the cell-centric assembly to generate references for their own cell type 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 of cell-centric atlas assembly.
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Chen, S., Luo, Y., Gao, H., Li, F., Li, J., Chen, Y., You, R., Hao, M., Bian, H., Xi, X., Li, W., Ye, M., Meng, Q., Zou, Z., Li, C., Li, H., Zhang, Y., Cui, Y., Wei, L., Chen, F., Wang, X., Lv, H., Hua, K., Jiang, R., Zhang, X.. 2021-07-23. A human ensemble cell atlas (hECA) enables in data cell sorting. https://doi.org/10.1101/2021.07.21.453289
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