hECA

hECA assembles cell-centric single-cell omics data into a unified atlas integrating 1,093,299 labeled human cells from 116 published datasets across 38 organs and 11 biological systems.

Key Features:

• Cell-centric assembly: Integrates 1,093,299 labeled human cells from 116 published datasets covering 38 organs and 11 biological systems.
• Unified informatics framework: Organizes data by individual cells rather than by files to support cell-centric analyses.
• "In Data" Cell Sorting: Enables targeted retrieval of specific cell populations using customizable logic expressions applied within the dataset.
• Quantitative Portraiture: Produces multi-view representations of biological entities to support comparative analyses and visualization across datasets.
• Customizable Reference Creation: Generates references for automatic annotation of new datasets.

Scientific Applications:

• User-defined sub-atlas construction: Agile construction of tailored sub-atlases from the integrated cell-centric data.
• Cross-organ CAR-T off-target analysis: "In data" investigation of CAR-T off-target effects across multiple organs.
• Comparative cellular characterization: Comparative analysis of cellular characteristics and interactions across datasets using quantitative portraiture.
• Reference-based annotation: Automatic annotation of new single-cell datasets using customizable references derived from the atlas.

Methodology:

Computational methods include a unified informatics framework for cell-centric assembly of published single-cell datasets, "In Data" cell sorting using customizable logic expressions, quantitative portraiture for multi-view representations, and customizable reference creation for automatic annotations.