Data of transcriptional effects of the merbarone-mediated inhibition of TOP2
Fernando M. Delgado-Chaves,
Pedro Manuel Martínez-García,
Andrés Herrero-Ruiz,
Francisco Gómez-Vela,
Federico Divina,
Silvia Jimeno-González,
Felipe Cortés-Ledesma
Affiliations
Fernando M. Delgado-Chaves
Division of Computer Science, Pablo de Olavide University, Seville ES-41013, Spain; Corresponding authors.
Pedro Manuel Martínez-García
Andalusian Molecular Biology and Regenerative Medicine Center (CABIMER), University of Seville - CSIC - Pablo de Olavide University, Seville ES-41092 Spain
Andrés Herrero-Ruiz
Andalusian Molecular Biology and Regenerative Medicine Center (CABIMER), University of Seville - CSIC - Pablo de Olavide University, Seville ES-41092 Spain; Topology and DNA breaks Group, Spanish National Cancer Research Center (CNIO), Madrid ES-28029, Spain
Francisco Gómez-Vela
Division of Computer Science, Pablo de Olavide University, Seville ES-41013, Spain
Federico Divina
Division of Computer Science, Pablo de Olavide University, Seville ES-41013, Spain
Silvia Jimeno-González
Andalusian Molecular Biology and Regenerative Medicine Center (CABIMER), University of Seville - CSIC - Pablo de Olavide University, Seville ES-41092 Spain
Felipe Cortés-Ledesma
Topology and DNA breaks Group, Spanish National Cancer Research Center (CNIO), Madrid ES-28029, Spain; Corresponding authors.
Type II DNA topoisomerases relax topological stress by transiently gating DNA passage in a controlled cut-and-reseal mechanism that affects both DNA strands. Therefore, they are essential to overcome topological problems associated with DNA metabolism. Their aberrant activity results in the generation of DNA double-strand breaks, which can seriously compromise cell survival and genome integrity. Here, we profile the transcriptome of human-telomerase-immortalized retinal pigment epithelial 1 (RPE-1) cells when treated with merbarone, a drug that catalytically inhibits type II DNA topoisomerases. We performed RNA-Seq after 4 and 8 h of merbarone treatment and compared transcriptional profiles versus untreated samples. We report raw sequencing data together with lists of gene counts and differentially expressed genes.
