Rat Cerebral Cortex Transcriptome and Metabolome Profiles Post-Subarachnoid Hemorrhage

982 differentially expressed genes and 540 differentially expressed metabolites were identified in the rat cerebral cortex one day after a subarachnoid hemorrhage. The dataset, created by Haoran Lu and last updated in April 2026, integrates transcriptomic and metabolomic profiles to investigate secondary brain injury mechanisms. It includes comparisons between sham-operated rats and those at 1-day and 7-day post-hemorrhage time points.

Use Cases

• Identify immune and inflammatory pathway activation based on differentially expressed genes involved in Complement and coagulation cascades, TNF, and NOD-like receptor signaling.
• Analyze metabolic pathway alterations based on affected pathways including Arginine and proline, Arachidonic acid, and Folate biosynthesis.
• Investigate potential therapeutic targets based on metabolites associated with oxidative stress, endothelial damage, and blood-brain barrier disruption.
• Perform integrated multi-omics analysis based on paired transcriptome and metabolome profiles from the same rat cortical tissue samples.

Strengths

• Integrates two distinct omics data types (transcriptome and metabolome) from the same biological samples.
• Reports specific counts of differentially expressed entities: 982 genes and 540 metabolites at 1-day post-injury.
• Data is openly available under a CC-BY-4.0 license, permitting reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (11.6 KB), suggesting it contains summary results rather than raw sequencing or spectral data.

Provenance

Source

figshare, author Haoran Lu.

Collection Method

Data was generated using whole transcriptome sequencing and untargeted metabolomics assays on rat cerebral cortex tissue.

Freshness

Last updated 2026-04-28 14:40:43; freshness should be verified.