Integrative Analysis of Left Ventricle and Epicardial Adipose Tissue Identifies SDHA and O

Muhammad Arif's dataset contains transcriptomics and clinical data from 44 left ventricle and 24 epicardial fat biopsies collected from 44 patients at Sahlgrenska University Hospital between 2013 and 2017. The data includes processed transcriptomics data (raw counts and TPM), clinical, and demographic information for patients with and without ischemic heart disease. The study was approved by the Gothenburg Regional Ethics Committee.

Use Cases

• Identify gene expression biomarkers for ischemic heart disease based on transcriptomics data from left ventricle and epicardial fat.
• Correlate clinical variables like ejection fraction and diabetes status with cardiac gene expression profiles.
• Validate candidate gene targets (e.g., SDHA, OGDH) for ischemic heart disease using integrated multi-tissue RNA-seq data.
• Compare transcriptomic profiles between ischemic and non-ischemic cardiac tissue samples from human subjects.

Strengths

• Includes data from 68 distinct tissue samples (44 left ventricle, 24 epicardial fat) from 44 patients.
• Clinical metadata includes age, sex, diabetes status, ejection fraction, and ICD-code-based diagnoses.
• Sample collection and RNA sequencing protocols are explicitly documented, with a defined time range from 2013 to 2017.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data access is restricted (Restricted Access license), requiring controlled access procedures.

Provenance

Source

Sahlgrenska University Hospital, Gothenburg, Sweden

Collection Method

Biopsies collected during coronary artery bypass or aortic valve replacement surgery, with RNA extracted and sequenced using Illumina NextSeq500.

Time Range

2013-02-07 to 2017-02-01

Freshness

Last updated 2026-05-20 09:05:53; freshness should be verified.

Geography

Gothenburg, Sweden