SpatialRegNet: spatially resolved mapping of active regulatory network of human and mouse.

SpatialRegNet curates 1322 tissue slices from 152 human and mouse spatial transcriptomic datasets, mapping 6733 TF regulon networks across 3,744,216 spatial spots.

• Why it matters: Spatial microenvironments and cellular functional states depend on spatiotemporally dynamic gene regulatory networks, but existing spatial transcriptomics resources rarely integrate intracellular GRNs with their spatial coupling patterns.
• What they did: The database quantifies spot-level activity for 6733 transcription factor–mediated regulon networks containing over 12.7 million TF–target gene pairs, and archives 802,935 highly active regulon networks in distinct spatial niches/cell types.
• The result: It provides interactive tools to relate regulon activity to cellular identities, map spatial regulatory heterogeneity, track activity along differentiation trajectories, reconstruct signaling cascades, and visualize 3D regulatory activity for mechanistic and biomarker studies.