SPICA

SPICA provides curated, cell type–specific reference atlases and integrates published single-cell RNA sequencing (RNA-seq, scRNA-seq) datasets to enable comparative analysis and contextualization of immune cell heterogeneity.

Key Features:

• Curated reference atlases: High-resolution, cell type–specific atlases describing immune cell states.
• Integration of published datasets: Incorporation of published single-cell RNA-seq datasets into the reference atlases to enhance context and comparability.
• Comparative analysis of user data: Analysis of user-provided single-cell RNA-seq data in relation to established reference atlases.
• Dataset contribution support: Acceptance of new single-cell datasets from researchers to expand and update the atlases.

Scientific Applications:

• Immune cell state annotation: Annotation of cell types and functional states in scRNA-seq datasets using reference atlases.
• Immune heterogeneity analysis: Characterization of heterogeneity and population structure among immune cells.
• Cross-study integration and comparison: Contextual comparison of published single-cell datasets within a common atlas framework.
• Immunology research and translational studies: Support for investigations into immune function, biomarker identification, and development of targeted therapies.

Methodology:

Integration of published single-cell RNA-seq datasets into curated cell type–specific reference atlases and comparative analysis of user-provided single-cell RNA-seq data against those atlases.