Marina Pavlosa's dataset contains bulk RNA sequencing results from the hippocampus of rat strains selectively bred for contrasting neural excitability thresholds. The data, last updated on 2026-06-03, includes transcriptomic profiles for high-excitability (LT) and low-excitability (HT) rats, highlighting differences in synaptic, glial, and cellular maintenance pathways. It is stored in an XLS file of 39.0 KB.
Use Cases
- Identify differentially expressed genes based on strain-specific transcriptional profiles.
- Analyze synaptic organization and neuronal projection development using functional annotation data.
- Investigate glial/immune functions and neurovascular regulation highlighted in the differential expression analysis.
- Cross-model comparisons of excitability-related traits using the reference transcriptomic profile.
Strengths
- Data originates from a long-term selective-breeding paradigm, providing a controlled genetic model.
- The dataset is openly available under a CC-BY-4.0 license.
- Analysis includes functional annotation for synaptic organization, cellular maintenance, and tissue-level regulatory processes.
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 39.0 KB, indicating a very limited scope of data.
Provenance
- Source
- figshare
- Collection Method
- Bulk RNA sequencing performed on hippocampus tissue from selectively bred rat strains.
- Freshness
- Last updated 2026-06-03 17:37:35; freshness should be verified.