Orginal dataset used to generate the presentation of results in reserach paper entitled "Carbon-Coated Iron Oxide Nanoparticles Promote Reductive Stress-Mediated Cytotoxic Autophagy in Drug-Induced Senescent Breast Cancer Cells"

Wnuk, MaciejLewińska, AnnaRadoń, AdrianGil, KacperBłoniarz, DominikaCiuraszkiewicz, AgnieszkaKubacki, JerzyKądziołka-Gaweł, MariolaŁukowiec, DariuszGębara, PiotrKrogul-Sobczak, AgnieszkaPiotrowski, PiotrFijałkowska, OktawiaWybraniec, SylwiaSzmatoła, TomaszKolano-Burian, AleksandraWnuk, Maciej2024-11-102024-11-102024-03-14Lewińska A, Radoń A, Gil K, Błoniarz D, Ciuraszkiewicz A, Kubacki J, Kądziołka-Gaweł M, Łukowiec D, Gębara P, Krogul-Sobczak A, Piotrowski P, Fijałkowska O, Wybraniec S, Szmatoła T, Kolano-Burian A, Wnuk M. Carbon-Coated Iron Oxide Nanoparticles Promote Reductive Stress-Mediated Cytotoxic Autophagy in Drug-Induced Senescent Breast Cancer Cells. ACS Appl Mater Interfaces. 2024 Mar 27;16(12):15457-15478.10.1021/acsami.3c17418https://rdb.ur.edu.pl/handle/item/49The data presented in this study are available in the Supporting Information in https://pubs.acs.org/doi/10.1021/acsami.3c17418 (Physicochemical characterization of Fe3O4@Dex and Fe3O4@aC NPs; TGA curves; results of DLS measurements; stability measurements; effects of Fe3O4@Dex and Fe3O4@aC on metabolic activity in breast cancer cells; effects of Fe3O4@Dex and Fe3O4@aC on metabolic activity and apoptosis induction in epithelial cell line MCF 10F and BJ fibroblasts, description: scavenging activity tests in cell-free system; results of the scavenging tests of Fe3O4@aC NPs; and comparison of FTIR spectra of Fe3O4@aC and Fe3O4@Dex with spectra of samples after the reaction with ROS (docx) List of the mutated gene set in eight breast cancer cell lines (genes related to cell cycle, stress, and autophagy) (xlsx)). Dataset 1: Additional original data used to generate the presentation of results in figure 1, SI1, SI7-8. Dataset 2: Original data used to generate the presentation of results in figure 2-10, SI5 and 6B. Dataset 3: Original genetic data used to generate the presentation of results in figure 6B, 7C, 8B and Table S1-3The surface modification of magnetite nanoparticles (Fe3O4 NPs) is a promising approach to obtaining biocompatible and multifunctional nanoplatforms with numerous applications in biomedicine, for example, to fight cancer. However, little is known about the effects of Fe3O4 NP-associated reductive stress against cancer cells, especially against chemotherapy-induced drug-resistant senescent cancer cells. In the present study, Fe3O4 NPs in situ coated by dextran (Fe3O4@Dex) and glucosamine-based amorphous carbon coating (Fe3O4@aC) with potent reductive activity were characterized and tested against drug-induced senescent breast cancer cells (Hs 578T, BT-20, MDA-MB-468, and MDA-MB-175-VII cells). Fe3O4@aC caused a decrease in reactive oxygen species (ROS) production and an increase in the levels of antioxidant proteins FOXO3a, SOD1, and GPX4 that was accompanied by elevated levels of cell cycle inhibitors (p21, p27, and p57), proinflammatory (NFκB, IL-6, and IL-8) and autophagic (BECN1, LC3B) markers, nucleolar stress, and subsequent apoptotic cell death in etoposide-stimulated senescent breast cancer cells. Fe3O4@aC also promoted reductive stress-mediated cytotoxicity in nonsenescent breast cancer cells. We postulate that Fe3O4 NPs, in addition to their well-established hyperthermia and oxidative stress-mediated anticancer effects, can also be considered, if modified using amorphous carbon coating with reductive activity, as stimulators of reductive stress and cytotoxic effects in both senescent and nonsenescent breast cancer cells with different gene mutation statuses.enAttribution 4.0 InternationalFe3O4 nanoparticlesbreast cancercarbon coatingchemotherapy-induced senescencecytotoxicityOrginal dataset used to generate the presentation of results in reserach paper entitled "Carbon-Coated Iron Oxide Nanoparticles Promote Reductive Stress-Mediated Cytotoxic Autophagy in Drug-Induced Senescent Breast Cancer Cells"raw dataset