TITLE: “scGRNdb: A Cell Type Gene Regulatory Network Atlas for Human and Mouse.”
ABSTRACT: Gene regulatory networks (GRNs) elucidate the complex regulatory landscape in cells and tissues, making them powerful tools for understanding mechanisms in disease pathophysiology and identifying therapeutic targets. The advent of single cell RNA-sequencing (scRNAseq) enables a more granular study of disease mechanisms using cell type-specific GRNs, but most existing GRN methods are not optimized for scRNAseq and robust network resources are scarce. We recently developed SCING, which improves GRN performance on scRNAseq and spatial transcriptomics data compared to existing methods. Here we present scGRNdb: a GRN atlas of 1,000+ SCING GRNs for cell types across 12 human and mouse single cell data atlases. Functional annotation of these networks revealed subnetworks that recapitulate known cell type specific pathways and gene mechanisms for neurological and cardiovascular diseases. Furthermore, we will host scGRNdb and GRN analysis tools on a public web server to facilitate single cell research and biomedical discovery.
