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

Three pediatric septic shock gene expression datasets (GSE26440, GSE9692, GSE13904) were integrated for analysis. The dataset includes results identifying four LPS-related feature genes (IL10, MMP9, S100A12, STAT3) and a diagnostic model with an average AUC of 0.994. It was uploaded by Junying Qiao in May 2026 under a CC-BY-4.0 license.

Use Cases

• Building diagnostic models for pediatric septic shock based on identified LPS-related feature genes.
• Analyzing immune cell infiltration characteristics in septic shock using ssGSEA algorithm results.
• Investigating transcription factor-gene regulatory networks based on the constructed 26-node network.
• Screening potential therapeutic compounds via molecular docking with feature genes like MMP9 and STAT3.

Strengths

• Integrates three publicly available gene expression datasets (GSE26440, GSE9692, GSE13904).
• Reports a diagnostic model with an average area under the ROC curve (AUC) of 0.994.
• Identifies four specific LPS-related feature genes (IL10, MMP9, S100A12, STAT3).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 56.9 KB file size suggests a limited scope, likely containing summary results rather than raw expression matrices.

Provenance

Source

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

Collection Method

Integrated bioinformatics analysis using WGCNA, LASSO, SVM-RFE, and ssGSEA algorithms.

Freshness

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