Genome-scale knockout simulation and clustering analysis of drug-resistant breast cancer cells reveal drug sensitization targets
Cell-specific GEMs. Genome-scale metabolic models (GEMs) presenting the metabolism of drug-sensitive MCF7, doxorubicin-resistant MCF7 (MCF7/DXR), and paclitaxel-resistant MCF7 (MCF7/PR). Dataset S1. Metabolome profiles and analysis of MCF7, doxorubicin-resistant MCF7 (MCF7/DXR), and paclitaxel-resistant MCF7 (MCF7/PR). Dataset S2. Results of the joint pathway analysis using proteome and metabolome data from MCF7 and anticancer drug-resistant MCF7s (MCF7/DXR and MCF7/PR). Dataset S3. Metabolome profiles of doxorubicin-resistant MCF7 (MCF7/DXR) with and without V-9302 treatment. V-9302 is an inhibitor of SLC1A5.
Institutions
- Seoul National University (KR)
- Korea Advanced Institute of Science and Technology (KR)
- Seoul National University Hospital (KR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-02
- DOI
- https://doi.org/10.5281/zenodo.13901565
- Primary Topic
- Cancer, Hypoxia, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.00