TBI Patient Transcriptomic Profiles: PBMC Data from 65 Samples

Transcriptomic profiles of peripheral blood mononuclear cells (PBMCs) from 65 traumatic brain injury patient samples collected at Day 1, Day 7, and Month 6 post-injury, alongside 24 healthy controls. The dataset was created by Abderrahmane Sadek and last updated on March 19, 2026. It includes results from gene co-expression network analysis, metabolomic flux analysis, and epigenomic profiling.

Use Cases

• Identify conserved monocyte activation programs based on gene co-expression network analysis
• Associate transcriptional signatures with clinical severity and survival outcomes based on external validation datasets
• Analyze metabolic reprogramming in monocytes based on inferred aspartate–arginine–ornithine axis activity
• Investigate epigenetic regulation of immune states based on H3K27ac ChIP-sequencing data

Strengths

• Includes longitudinal data from 65 TBI patient samples across three time points
• Validated findings using flow cytometry, plasma metabolite quantification, and external datasets from infections like COVID-19
• Integrates multiple analysis methods: transcriptomics, metabolomics, and epigenomics

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 a 124.7 KB PDF, suggesting it likely contains summary results rather than raw data

Provenance

Source

figshare

Collection Method

Longitudinal transcriptomic profiling of PBMCs from TBI patients and healthy controls, with computational deconvolution, flow cytometry validation, and genome-scale metabolic modeling.

Time Range

Samples collected at Day 1, Day 7, and Month 6 post-injury.

Freshness

Last updated 2026-03-19 05:17:32