Conditional match | Potential drugs for COVID-19 treatment
To identify medications with the potential to treat COVID-19, we retrieved and compared transcriptome profiles from healthy persons and patients with severe COVID-19.
Conditional match | Drugs capable to manipulate epithelial–mesenchymal transition through regulating TRNs
To examine whether there are any small molecules/drugs/conditions that possess the potential of rectifying EMT, three datasets of transcriptomic changes recorded during EMT downloaded from NCBI GEO were subjected to the TRSN matching tool.
Network analysis | Natural compounds and gene regulatory network control in diseases
Enrichment studies on regulated genes in 1550 TRSNs associated with 90 types of natural chemicals from CORN were carried out to identify disease-rectifying mechanisms related to natural compounds. This work aims to improve our understanding of the impact of natural chemicals on gene regulatory networks for the ultimate goal of drug discovery and repositioning.
Conditional match | Insights into stem cell manipulations
To examine whether there are any small molecules/drugs/conditions that possess the potential of controlling stem cell induction and conversion, transcriptomic changes recorded during stem cell induction and conversion were subjected to the TRSN matching tool in CORN.
Conditional match | CORN facilitates research on tumor heterogeneity and personalized therapy
To demonstrate how CORN could be applied and contribute to tumor heterogeneity and personalized therapy, we collected single-cell transcriptomic data from clinical samples of 8 lung cancer patients and employed TRSN matching tool.