Network-based drug repurposing for psychiatric disorders using single-cell genomics



This site contains processed analysis files for a single-cell network-based drug repurposing analysis for psychiatirc disorders, described in Gupta el al., 2025. These data contain cell-type-specific gene regulatory networks (GRNs) inferred using SCENIC across donors in the PsychENCODE Integrative Analysis dataset. GRNs were built for eight major classes and 23 subclasses of cell types across three disorders (autism, bipolar disorder, and schizophrenia) and respective controls within three PsychENCODE cohorts (CMC, UCLA-ASD, and Urban-DLPFC).

GRNs for the eight major classes of cell types were built for each analyzed cohort separately and used for cross-cohort evaluations. The subclass GRNs were built by pooling diagnosed donors across cohorts. Each GRN text file contains four columns:

1. TF: Transcription Factor regulator
2. Target: Predicted target gene of the TF
3. Importance: Edge importance score inferred by SCENIC (proximal links) or ArchR (distal links)
4. Link: “Proximal” for the targets predicted from snRNA-seq data, “distal” for targets predicted using scATAC-seq data.

Files containing these GRNs and a summary file for drug targets assessed are detailed below.