Computational Identification of Kinases That Control Axon Growth in Mouse.

ABSTRACT: The determination of signaling pathways and transcriptional networks that control various biological processes is a major challenge from both basic science and translational medicine perspectives. Because such analysis can point to critical disease driver nodes to target for therapeutic purposes, we combined data from phenotypic screening experiments and gene expression studies of mouse neurons to determine information flow through a molecular interaction network using a network propagation approach. We hypothesized that differences in information flow between control and injured conditions prioritize relevant driver nodes that cause this state change. Identifying paths likely taken from potential source nodes to a set of transcription factors (TFs), called sinks, we found that kinases are

SUBMITTER: Devkota P 

PROVIDER: S-EPMC8009200 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature