GSE109731
Synergy from Gene Expression and Network Mining (SynGeNet) method predicts genotype-specific synergistic drug combinations in melanoma
Using our computational method SynGeNet to evaluate genomic and transcriptomic data characterizing four major genomic subtypes of melanoma, we selected the top ranked drug combination for BRAF-mutation melanoma for subsequent validaiton. Here we present drug-induced gene expression data from the BRAF-mutant A375 melanoma cell line in response to four treatment conditions: vehicle control (DMSO), vemurafenib alone, tretinoin (ATRA) alone and vemurafenib+tretinoin combination. Overall design: Gene expression profiles of A375 melanoma cells were generated by RNAseq (Illumina HiSeq 4000) under the following treatment conditions: vehicle control (DMSO),  vemurafenib, tretinoin and vemurafenib + tretinoin combination.