RNA-seq of S. cerevisiae with DOPAC and 4-nitrocatechol to investigate how Artificial Intelligence uncovers human carcinogenic metabolites

We have performed paired-end RNA-sequencing on budding yeast (BY4741), exposed to 4-nitrocatechol and 3,4-Dihydroxyphenylacetic acid (DOPAC). These two human metabolites were predicted as potential carcinogens using Metabokiller, an artificial intelligence-driven carcinogenicity predictor. The dataset contains 3 biological conditions, i.e. untreated (NC), DOPAC treated (DP), and 4-nitrocatechol treated (4NC). Two rounds of selection procedures have been introduced. The first selection was for canavanine resistance, and the followed selection was for rapid cell division (inferred using growth assay). The experiment was performed in biological triplicates.