Raw Transcriptomic Data: Heart Failure Analysis for Left Bundle Branch Pacing

Integrated transcriptomic data from three Gene Expression Omnibus (GEO) datasets (GSE5406, GSE19303, GSE21610) related to heart failure. The dataset, created by Xia Sun and last updated in May 2026, includes results from batch correction, differential expression analysis, and functional enrichment. It is a 17.6 MB RAR archive released under a CC-BY-4.0 license.

Use Cases

• Identify differentially expressed genes (e.g., HOPX, NPPA, MYH6) based on the analysis described.
• Profile immune cell infiltration (e.g., B cells, T cells, macrophages) in heart failure based on the description.
• Perform weighted gene co-expression network analysis (WGCNA) based on the identified significant modules (MEpink, MElightyellow).
• Predict drug-pathway interactions for heart failure treatment based on the suggested candidates (e.g., β-blockers, SGLT2 inhibitors).

Strengths

• Integrates three distinct GEO datasets (GSE5406, GSE19303, GSE21610) for analysis.
• Includes results from multiple bioinformatics analyses: differential expression, immune profiling, WGCNA, and drug prediction.
• Released under a permissive CC-BY-4.0 license.

Limitations

• The specific column structure and row count of the underlying data are unknown.
• The 17.6 MB file size suggests a relatively small dataset, which may limit the scope of secondary analyses.
• Description metadata is limited; actual data quality and format require manual inspection after download.

Provenance

Source

Gene Expression Omnibus (GEO) datasets GSE5406, GSE19303, and GSE21610.

Collection Method

Data integration, batch correction, and subsequent bioinformatics analysis as described.

Freshness

Last updated 2026-05-11 17:24:01.