Spatial transcriptomics technologies can construct the spatial trajectory of tumors by analyzing the cell composition and their distribution in the tumor microenvironment and gain insight into tumor metastasis and invasion. The SCAR_ST module provides a spatial transcriptomics atlas for different types of cancer to improve understanding of tumor heterogeneity and provide new insights into cancer prevention, clinical diagnosis, and therapeutic approaches development.

Human Spatiotemporal Transcriptomic Atlas

SCAR_ST_000010 SCAR_ST_000004 GBM SCAR_ST_000007 SCAR_ST_000005 SCAR_ST_000006 SCAR_ST_000008 SCAR_ST_000011 SCAR_ST_000080 SCAR_ST_000002 SCAR_ST_000009 SCAR_ST_000003 Lymph SCAR_ST_000008 SCAR_ST_000010 SCAR_ST_000005 SCAR_ST_000011 SCAR_ST_000006 SCAR_ST_000012 SCAR_ST_000007 SCAR_ST_000004 SCAR_ST_000012 Bladder Liver GBM Intestine Bladder

Mouse Spatiotemporal Transcriptomic Atlas

SCAR_ST_000022 SCAR_ST_000050 SCAR_ST_000042 SCAR_ST_000022 SCAR_ST_000050

Zebrafish Spatiotemporal Transcriptomic Atlas

SCAR_ST_000053 SCAR_ST_000053

Step 1: please select data set

Part A: Spatial expression pattern of selected gene

Species Symbol Ensembl Expression pattern

Spatial expression pattern of selected gene

Part B: Virtual in situ hybridization based on ST data



Clustering of spots

Top 10 Spatial varible genes

Detail of scRNAseq data

UMAP plot of scRNAseq data set

Deconvolution of ST data

Cell-cell interactions