scGRN

scGRN provides a catalog of cell type-specific gene regulatory networks (GRNs) inferred from single-cell multi-omics data to characterize transcription factor (TF)–target interactions in human and mouse.

Key Features:

• Extensive database: Contains 237,051 cell type-specific GRNs comprising over 62 million TF–target gene pairs across human and mouse, covering 160 tissues/cell lines and 1,324 single-cell samples.
• Multi-omics integration: Integrates single-cell transcriptomic and epigenomic techniques to resolve GRN topology and dynamics at high resolution.
• Analytical tools: Provides differential TF–target network analysis, TF enrichment analysis, and pathway downstream analysis for comparative and functional interrogation of GRNs.
• Regulatory site annotation: Annotates TF binding sites associated with target genes, including promoters, super-enhancers, and typical enhancers.

Scientific Applications:

• Disease mechanism exploration: Enables investigation of cell type-specific regulatory changes underlying disease at single-cell resolution.
• Therapeutic target identification: Supports identification of candidate targets through differential network analysis of TF–target interactions.
• Tissue-specific regulatory pathway analysis: Facilitates characterization of tissue- and cell type-specific regulatory pathways and downstream effects.

Methodology:

Inference of cell type-specific GRNs from single-cell transcriptomic and epigenomic (multi-omics) data; cataloging of TF–target pairs; annotation of TF binding sites (promoters, super-enhancers, typical enhancers); and computational analyses including differential TF–target network analysis, TF enrichment analysis, and pathway downstream analysis.