Synergy from Gene Expression and Network Mining (SynGeNet) method predicts genotype-specific synergistic drug combinations in melanoma
收藏NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE109731
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资源简介:
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. 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.
创建时间:
2019-03-21



