Inference of differential key regulatory networks and mechanistic drug repurposing candidates from scRNA-seq data with SCANet.

ABSTRACT:

Motivation

The reconstruction of small key regulatory networks that explain the differences in the development of cell (sub)types from single-cell RNA sequencing is a yet unresolved computational problem.

Results

To this end, we have developed SCANet, an all-in-one package for single-cell profiling that covers the whole differential mechanotyping workflow, from inference of trait/cell-type-specific gene co-expression modules, driver gene detection, and transcriptional gene regulatory network reconstruction to mechanistic drug repurposing candidate prediction. To illustrate the power of SCANet, we examined data from two studies. First, we identify the drivers of the mechanotype of a cytokine storm associated with increased mortality in patients with acute respiratory illness.

SUBMITTER: Oubounyt M 

PROVIDER: S-EPMC10628438 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature