Table 2_Transcriptome-informed metabolic modeling reveals astrocyte-specific vulnerabilities in mild cognitive impairment and Alzheimer’s disease progression.csv contains inferred astrocyte metabolic models. The dataset is 1.9 MB, was authored by Andrea Angarita-Rodríguez, and was last updated on 2026-06-02. It is derived from transcriptomic profiles of hippocampal CA1 tissue across control, early MCI, advanced MCI, and Alzheimer's disease conditions.
Use Cases
- Analyze stage-dependent metabolic flux changes in astrocytes based on the inferred condition-specific models.
- Investigate metabolic flexibility in pathways like glutamate-glutamine cycling and glutathione metabolism based on flux variability analysis results.
- Compare transcriptional and metabolic program remodeling between early and advanced disease stages based on the integrated analysis described.
- Validate predicted compensatory shifts in astrocyte metabolic states during disease progression.
Strengths
- Dataset is 1.9 MB, indicating a manageable size for analysis.
- Models are derived from a specific transcriptomic dataset (GSE28146) and validated with an independent single-nucleus RNA-seq dataset.
- License is CC-BY-4.0, permitting open sharing and adaptation.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Data reflects the specific biases and scope of the source transcriptomic study on hippocampal CA1 tissue.
Provenance
- Source
- figshare, author Andrea Angarita-Rodríguez.
- Collection Method
- Generated via integrated transcriptomic analysis and genome-scale metabolic modeling (flux balance analysis and flux variability analysis) of hippocampal tissue data.
- Freshness
- Last updated 2026-06-02 05:45:32; freshness should be verified.