- Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with poor prognosis and a high likelihood of recurrence. Residual disease after therapy is a key predictor of recurrence, often driven by intra-tumoral metabolic heterogeneity. Accumulating evidence indicates that tumors shift between glycolysis and oxidative pathways, relying on alternative substrates such as fatty acid oxidation (FAO) to sustain growth and resist therapy. To investigate spatially distinct metabolic profiles within tumors, we developed a novel in vivo imaging method that leverages exogenous fluorophores to concurrently quantify oxidative phosphorylation and two key substrates that drive it: glucose and fat. We first developed an unmixing method to differentiate ... [Read More]
- Total Size
- 6 files (11.9 GB)
- Data Citation
- D'Agostino, V. W. & Ramanujam, N. (2025). Data from: In vivo imaging of metabolic heterogeneity across three endpoints relevant to aggressive breast cancer. Duke Research Data Repository. https://doi.org/10.7924/r4z32354z
- DOI
- 10.7924/r4z32354z
- Publication Date
- June 11, 2025
- ARK
- ark:/87924/r4z32354z
- Affiliation
- Publisher
- Collection Dates
- 2024 to 2025
- Language
- Type
- Funding Agency
- National Institutes of Health
- Grant Number
- 1R01EB02818-01
- Contact
- Victoria D'Agostino: https://orcid.org/0000-0001-8267-5033, victoriwinterdagostino@gmail.com, 401-829-9864
- Title
- Data from: In vivo imaging of metabolic heterogeneity across three endpoints relevant to aggressive breast cancer
- Repository
Thumbnail | Title | Date Uploaded | Visibility | Actions |
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README.txt | 2025-06-11 | Download | |
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Figure 1 Raw Data and Scripts.zip | 2025-06-11 | ||
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Figure 2 Scripts.zip | 2025-06-11 | Download | |
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Figure 2, 3, 4, and SI Raw Data.zip | 2025-06-11 | ||
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Figure 4 Script.zip | 2025-06-11 | Download | |
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Figure SI3 Script.zip | 2025-06-11 | Download |