65 longitudinal transcriptomic samples from traumatic brain injury patients and 24 samples from healthy controls, collected at Day 1, Day 7, and Month 6 post-injury. The dataset was created by Abderrahmane Sadek and last updated in March 2026. It includes results from weighted gene co-expression network analysis, metabolomic inference, and epigenomic profiling.
Use Cases
- Identify conserved monocyte activation programs based on weighted gene co-expression network analysis
- Associate transcriptional modules with clinical severity and survival outcomes based on external validation datasets
- Analyze metabolic remodeling in monocytes based on inferred aspartate–arginine–ornithine axis activity
- Investigate enhancer remodeling linked to monocyte activation based on H3K27ac ChIP-sequencing data
Strengths
- Includes longitudinal data from 65 TBI patient samples across three time points
- Contains external validation across independent PBMC and monocyte datasets from bacterial and viral infections
- Integrates multiple analysis methods: transcriptomics, flow cytometry, metabolic modeling, and epigenomics
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- figshare
- Collection Method
- Transcriptomic profiling of PBMCs from TBI patients and healthy controls, with computational deconvolution and flow cytometry validation.
- Time Range
- Samples collected at Day 1, Day 7, and Month 6 post-injury.
- Freshness
- Last updated 2026-03-19 05:17:32; freshness should be verified