Replication Data for: Ferroptosis-Induced Oxidative Stress Overcomes Therapy Resistance in Glioblastoma: Evidence from In Vitro and In Vivo Models

This dataset includes the Tandem mass tag LC-MS/MS proteomics data of changed proteins generated in the study: “Ferroptosis-Induced Oxidative Stress Overcomes Therapy Resistance in Glioblastoma: Evidence from In Vitro and In Vivo Models” by Sofia Remedia, Cristina Martelli, Francesca Servidio, Marcella Bonanomi, Clarissa Gervasoni, Bruno Giovanni Galuzzi, Martina Nespoli, Chiara Pellizzer, Alessandro Giammona, Daniela Gaglio, Daniele Capitanio, Gloria Bertoli, Luisa Ottobrini, and Alessia Lo Dico. Data were generated by LC-ESI-MS/MS with TMT isobaric labeling quantitation. Mass spectra generated on a orbitrap Fusion tribrid mass spectrometer (Thermo) were analyzed using MaxQuant software (Max-Planck-Institute of Biochemistry, Munich, Germany, version 1.6.17.0). Statistical analyses were performed using the Perseus software (Max Planck Institute of Biochemistry, Munich, Germany, version 1.6.15.0). For statistical analysis, ANOVA test and Tukey's multicomparison analysis with a p-value threshold of 0.05 were applied. To exclude the presence of false positives from the analysis, Benjamini–Hochberg false discovery rate test was applied.