Table 3_Integrated transcriptomic profiling of programmed cell death patterns unveils macr

A transcriptomic dataset from the Gene Expression Omnibus (GEO) database, focusing on hepatic ischemia-reperfusion injury (HIRI). It was created by Manling Xie and last updated in May 2026. The data includes bulk and single-cell RNA-seq analyses identifying differentially expressed programmed cell death-related genes and a risk prediction model.

Use Cases

• Training machine learning models for HIRI risk prediction based on the 5 hub genes (THBS1, MAP1LC3B, PPP1R15A, CXCL8, ZC3H12A) identified in the description.
• Analyzing the heterogeneity of programmed cell death patterns in liver tissue based on the 12 distinct PCD patterns uncovered by single-cell analysis.
• Investigating the THBS1-CD47 signaling axis in macrophage-hepatocyte crosstalk based on the mechanistic findings described.
• Validating gene expression signatures for apoptosis and other PCD patterns (anoikis, immunogenic cell death, NETosis, pyroptosis) in liver injury contexts.

Strengths

• Integrates data from four distinct GEO datasets (GSE151648, GSE14951, GSE12720, GSE171539), providing a multi-source foundation for analysis.
• Identifies 25 consistently upregulated programmed cell death-related genes and 5 hub genes validated by machine learning algorithms.
• Includes single-cell transcriptomic data enabling analysis of 12 distinct PCD patterns within the tissue microenvironment.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (68.1 KB), suggesting it may contain processed results or summary tables rather than raw sequencing data.

Provenance

Source

Gene Expression Omnibus (GEO) database, specifically series GSE151648, GSE14951, GSE12720, and GSE171539.

Collection Method

Bulk and single-cell RNA sequencing data analysis, combined with machine learning algorithms and in vivo/in vitro experimental validation.

Freshness

Last updated 2026-05-19 04:22:42; freshness should be verified.