Transcription Factor Regulatory Subnetworks for Mechanisms of Action (MoAs) Based Drug Induced Changes in Gene Expression

Explore upstream transcription factor regulatory subnetworks for the top 30 most common MoAs. These regulatory subnetwork are created by submitting gene expression signatures from the LINCS L1000 chemical perturbations dataset to ChEA-KG. The drug-induced gene expression signatures were obtained from L1000FWD (https://maayanlab.cloud/l1000fwd/). Consensus gene sets were generated for each MoA by retaining genes that appeared in at least 17% of all up or down differentially expressed gene sets.



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Regulatory network for genes
up-regulated
by AKT inhibitors
Please acknowledge ChEA-KG in your publications by citing the following reference:
Anna I. Byrd, John Erol Evangelista, Alexander Lachmann, Ho-Young Chung, Sherry L Jenkins, Avi Ma'ayan. ChEA-KG: Human Transcription Factor Regulatory Network with a Knowledge Graph User Interface.Preprint on bioRxiv (2025). doi:10.1101/2025.08.09.669505.

This website was prepared using the Ma’ayan Lab Knowledge Graph User Interface.
John Erol Evangelista, Andrew D. Lutsky, Anna I. Byrd, Daniel J. B. Clarke, Abinanda Prabhakaran, Sherry L. Jenkins, Avi Ma’ayan. Creating an Interactive Web Interface for Networks Stored in Knowledge Graph Databases. Current Protocols. 16 Sept 2025. https://doi.org/10.1002/cpz1.70200.
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