Two tables provide metabolomics data for 12 rat brain samples across hippocampus and cortex regions. The data, covering amino acids, organic acids, sugars, lipids, and phosphorylated compounds, reveals significant concentration differences between brain regions and experimental groups. Linxia Li published this 14.8 KB dataset on figshare under a CC-BY-4.0 license, last updated in April 2026.
Use Cases
- Identify metabolic biomarkers for hypoxic preconditioning based on metabolite concentration differences between groups H and N.
- Compare regional brain metabolism between hippocampus and cortex based on quantified levels of compounds like N-acetyl-L-aspartic acid and lactate.
- Train models to classify brain region or experimental condition using the profile of amino acids, organic acids, sugars, and lipids.
- Investigate physiological or pathological states in rat models using the quantitative evidence of metabolite concentrations.
Strengths
- Data covers two distinct brain regions (hippocampus and cortex) with 12 total samples.
- Includes a variety of metabolite classes: amino acids, organic acids, sugars, lipids, and phosphorylated compounds.
- Quantitative evidence shows specific metabolite differences, such as higher N-acetyl-L-aspartic acid in hippocampus and lactate in cortex.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is very small at 14.8 KB, indicating limited scope.
Provenance
- Source
- figshare
- Collection Method
- Likely generated from laboratory metabolomics analysis of rat brain tissue.
- Time Range
- null
- Freshness
- Last updated 2026-04-13 10:51:56; freshness should be verified.
- Geography
- null