Integrative Transcriptomic Analysis of Ion Channels in Hypertrophic Cardiomyopathy

A transcriptomic analysis dataset comparing patients with hypertrophic cardiomyopathy (HCM) to control populations across three datasets. The research identified four hub differentially expressed ion channels (KCNC4, KCNN3, ANO1, CACNA2D3) and explored their associations with pathological features like myocardial hypertrophy and fibrosis. The dataset, authored by Shaohua Li and last updated in May 2026, is shared under a CC-BY-4.0 license.

Use Cases

• Validate prognostic models for hypertrophic cardiomyopathy based on the four identified hub ion channel genes.
• Investigate correlations between ion channel expression and pathological features like myocardial hypertrophy and fibrosis.
• Perform immunoinfiltration analysis to explore relationships between ion channel expression and cardiac inflammatory responses.
• Cross-reference single-cell RNA sequencing data to verify cell-type-specific expression patterns of the identified ion channels.

Strengths

• Analysis integrates three distinct transcriptome sequence datasets for validation.
• Identifies four specific hub ion channel genes (KCNC4, KCNN3, ANO1, CACNA2D3) with consistent expression changes.
• Links gene expression to concrete pathological features: myocardial hypertrophy, fibrosis, and fibroblast activation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 2.7 MB DOCX document, which may require extraction of underlying data.

Provenance

Source

figshare

Collection Method

Integrative analysis of three transcriptomic datasets from HCM patients and controls, supplemented with single-cell and spatial transcriptomic data.

Freshness

Last updated 2026-05-04 05:32:21; freshness should be verified.