SORC : Spatial omics resource of Cancer

Tumor cells and diverse immune cells in tumor microenvironment have a highly structured organization to enable their efficient and function. Spatial transcriptome data reserve the structure and location information, providing the opportunity for unveiling the mystery of complex cellular states and cell-cell interactions under specific context.

SORC database is the first Spatial Omics Resource of Cancer, covering current available spatial transcriptomics datasets for 17 types of cancer, comprising 722,899 spots across 269 slices. In particular, we explored the cell composition for each spot based on the matched reference scRNA-seq data involving 334,379 cells and 46 cell types. Moreover, SORC provides five major analytic modules for spatial features and co-localized immune cells.

Dataset Browse

The users can browse or search spatial transcriptome datasets of various cancers, which contains multiple analysis results.


Annotation

The users can explore spot transcriptome clusters, cell type composition and the corresponding marker genes, combining with scRNA-seq data

Spatial Variable Gene

The users can explore the genes with highly variable transcription in slices as well as the enriched spot clusters and cell types.


Co-occurrence

The users can explore the co-location analysis of immune cells and tumor cells to identify the pairs that tend to be closely contacted in tumor microenvironment.

Functional analysis

The users can explore the potential functions for the immune cells adjacent to tumor cells, including Gene Ontology, KEGG, IMMPORT and malignant cell states.

Cell communication

The users can explore the interaction between co-occurrence immune cells and tumor cells, with the results of mediated receptor-ligand gene pairs, functional groups, and interaction intensity.

Statistics

269

Slice

722K

Spot

82

Dataset

17

Cancer

334 K

Cells

46

Cell types

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