Data Sheet 1_Multi-omics integration identifies ARID1B linking cuproptosis-immune crosstal

Data Sheet 1_Multi-omics integration identifies ARID1B linking cuproptosis-immune crosstalk with atherosclerotic plaque progression.docx contains integrated single-cell and bulk RNA-seq data from atherosclerotic and normal arterial tissues. The dataset, authored by Xinyan Hu and last updated on 2026-05-17, was used to characterize cuproptosis patterns and identify the gene ARID1B as a discriminator of disease status. The analysis includes cuproptosis scores, differential gene expression, and immune infiltration assessments validated in an ApoE−/− mouse model.

Use Cases

• Identifying cuproptosis-modulating genes based on integrated scRNA-seq and bulk RNA-seq data
• Analyzing immune infiltration patterns in atherosclerotic plaques based on single-sample gene set enrichment analysis results
• Investigating intercellular communication networks affected by ARID1B expression using CellChat analysis
• Validating computational findings in vivo using data from the ApoE−/− mouse model of atherosclerosis

Strengths

• Integrates multiple scRNA-seq and bulk RNA-seq datasets for systematic analysis
• Includes in vivo validation data from an ApoE−/− mouse model
• Employs multiple analytical algorithms (LASSO, decision tree, XGBoost) for gene identification

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 7.9 MB DOCX document, which may not be a standard format for raw omics data

Provenance

Source

Xinyan Hu

Collection Method

Integration of multiple scRNA-seq and bulk RNA-seq datasets, with validation using an ApoE−/− mouse model.

Freshness

Last updated 2026-05-17 22:01:53; freshness should be verified