Rat Cerebral Cortex Transcriptome and Metabolome Profiles After Subarachnoid Hemorrhage

982 differentially expressed genes and 540 differentially expressed metabolites were identified in 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.
• Analyze metabolic pathway disruptions based on affected pathways like Arginine and proline metabolism and Arachidonic acid metabolism.
• Investigate potential therapeutic targets based on the integration of transcriptomic and metabolomic signals linked to oxidative stress and blood-brain barrier disruption.
• Compare temporal molecular changes based on gene and metabolite profiles at 1-day and 7-day post-injury intervals.

Strengths

• Integrates two omics data types (transcriptome and metabolome) for a multi-faceted analysis.
• Reports specific counts of differentially expressed entities (982 genes, 540 metabolites at 1 day).
• Data is openly shared 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 for certain analyses.
• The dataset is very small (11.3 KB), suggesting it may contain summary results rather than raw experimental 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 14:40:42; freshness should be verified.