Table 2_Integrated transcriptomic profiling of programmed cell death patterns unveils macr

A 342.3 KB document by Manling Xie, last updated on 2026-05-19, containing integrated transcriptomic data from four public GEO datasets (GSE151648, GSE14951, GSE12720, GSE171539). The data underpins an analysis of 25 differentially expressed programmed cell death-related genes and 5 hub genes (THBS1, MAP1LC3B, PPP1R15A, CXCL8, ZC3H12A) linked to macrophage-hepatocyte crosstalk via the THBS1-CD47 axis in a liver injury model.

Use Cases

• Validate programmed cell death gene signatures based on the 25 identified DE-PCDRGs.
• Build risk prediction models for hepatic ischemia-reperfusion injury based on the 5 hub genes (THBS1, MAP1LC3B, PPP1R15A, CXCL8, ZC3H12A).
• Investigate macrophage-hepatocyte crosstalk mechanisms based on the described THBS1-CD47 axis.
• Analyze single-cell transcriptomic patterns of programmed cell death based on the 12 distinct PCD patterns mentioned.

Strengths

• Integrates data from four distinct public GEO datasets (GSE151648, GSE14951, GSE12720, GSE171539).
• Identifies a specific set of 5 hub genes (THBS1, MAP1LC3B, PPP1R15A, CXCL8, ZC3H12A) validated by machine learning.
• Analysis includes both bulk and single-cell transcriptomic data, covering 19 diverse PCD patterns.
• Mechanistic findings are supported by in vivo and in vitro experiments described in the source study.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is a 342.3 KB DOCX file, suggesting a small-scale summary or table rather than raw expression matrices.
• Freshness should be verified as the last update date is in the future (2026-05-19).

Provenance

Source

Gene Expression Omnibus (GEO) databases GSE151648, GSE14951, GSE12720, GSE171539, processed by Manling Xie.

Collection Method

Bulk and single-cell transcriptomic data analysis, machine learning algorithms, and experimental validation as described.

Freshness

Last updated 2026-05-19 04:22:42.