Sepsis T-Cell Gene Signatures and Drug Predictions
by Xiaowei Gai·Updated 3mo ago
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Description
Integrated bioinformatics analysis identifies 330 overlapping differentially expressed genes and 10 T-cell-related hub genes (CD4, CD247, CD3E, CD2, FYN, ZAP70, CD3G, ITK, LAT, CD5) from three blood transcriptomic datasets. The study validates these genes as down-regulated in sepsis patients and predicts six potential therapeutic agents via cMAP analysis. The 11.8 KB file contains the research findings in a DOCX format.
Use Cases
Validate the diagnostic performance of the 10 hub genes (e.g., CD4, CD3E, ZAP70) for early sepsis detection using independent datasets.
Analyze the correlation between hub gene expression levels and metrics of T-cell exhaustion or myeloid cell infiltration.
Investigate the six predicted therapeutic agents (e.g., anastrozole, etofenamate) from the cMAP analysis for drug repurposing strategies in sepsis.
Perform functional enrichment analysis on the 330 overlapping differentially expressed genes to explore immune pathways like T-cell receptor signaling.
Strengths
Identifies 330 overlapping differentially expressed genes from three independent transcriptomic datasets (GSE95233, GSE137340, GSE57065).
Pinpoints 10 specific hub genes central to T-cell function, validated for significant down-regulation in sepsis patients.
Predicts six potential therapeutic agents via cMAP analysis, offering a theoretical framework for drug repurposing.
Limitations
The dataset is a small 11.8 KB DOCX file containing summarized analysis results, not the underlying raw transcriptomic data.
High diagnostic accuracy (AUC: 0.908–0.999) of hub genes may reflect immune cell composition differences rather than disease-specific molecular signatures.
No raw gene expression values, sample-level data, or columnar data structure is provided for direct computational analysis.
Provenance
Source
Gene Expression Omnibus (GEO) datasets GSE95233, GSE137340, GSE57065.
Collection Method
Integrated bioinformatics analysis including differential expression, functional enrichment, protein-protein interaction networks, and cMAP query.
Freshness
Last updated March 23, 2026.
File is a DOCX document summarizing research findings; it does not contain a tabular dataset with rows and columns. License is CC BY 4.0.