Pediatric Septic Shock LPS-Related Gene Expression and Immune Cell Infiltration Data

Gene expression data from three pediatric septic shock datasets (GSE26440, GSE9692, GSE13904) used to identify diagnostic biomarkers. The dataset includes results of differential expression analysis, weighted gene co-expression network analysis (WGCNA), and immune cell infiltration quantification. It was created by Junying Qiao and last updated on 2026-05-29.

Use Cases

• Building diagnostic models for pediatric septic shock based on identified LPS-related feature genes (IL10, MMP9, S100A12, STAT3).
• Analyzing immune cell infiltration characteristics in septic shock using ssGSEA algorithm results.
• Investigating transcription factor-gene regulatory networks based on the constructed 26-node, 32-edge network.
• Evaluating potential therapeutic compounds through molecular docking simulations with feature genes.

Strengths

• Integrates three publicly available gene expression datasets (GSE26440, GSE9692, GSE13904).
• Diagnostic model achieved an average area under the ROC curve (AUC) of 0.994.
• Identified four specific LPS-related feature genes as potential diagnostic biomarkers.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 19.4 KB, indicating limited scope, likely containing summary results rather than raw expression matrices.

Provenance

Source

Gene expression repositories for datasets GSE26440, GSE9692, and GSE13904.

Collection Method

Integrated bioinformatics analysis including differential expression, WGCNA, LASSO, SVM-RFE, and ssGSEA.

Freshness

Last updated 2026-05-29 08:15:02; freshness should be verified.