Transcriptomic Signatures and Immune Microenvironment of Acute Heart Transplant Rejection

Microarray data from 43 endomyocardial biopsy samples (16 acute rejection, 27 non-rejection) analyzed for differential gene expression. The dataset includes 3,968 genes, with 1,032 identified as differentially expressed, and was used to build a diagnostic model. The data was published by Wenjun Zhou on figshare in May 2026 under a CC-BY-4.0 license.

Use Cases

• Training diagnostic models for acute cardiac allograft rejection based on transcriptomic signatures.
• Analyzing immune cell infiltration patterns in transplant rejection using MCP-counter estimated scores.
• Studying interferon signaling and T-cell receptor pathway activation in acute rejection events.
• Validating gene expression findings from human samples in a mouse xenotransplantation model.

Strengths

• Includes 43 human endomyocardial biopsy samples with clear clinical labels (rejection vs. non-rejection).
• Analysis identified 1,032 differentially expressed genes, providing a substantial feature set.
• The derived diagnostic model reported strong internal performance with a cross-validated AUC of 0.993.
• Findings were experimentally validated using a mouse cardiac xenotransplantation model.

Limitations

• Dataset scale is limited to 46.9 KB, suggesting it contains summary-level analysis results rather than raw expression data.
• Column-level documentation is absent; field semantics must be inferred from the accompanying PDF.
• Row count is unknown, which may limit suitability assessment for direct machine learning application.

Provenance

Source

Gene Expression Omnibus (GEO) accession GSE2596, platform GPL1053.

Collection Method

Microarray data analysis, differential expression testing, and immune cell scoring.

Freshness

Last updated 2026-05-25 05:30:47; freshness should be verified.