Acute Ischemic Stroke Multi-Omics Regulatory Network with Drug Target Validation

Xiaoli Kong collected peripheral whole blood samples from acute ischemic stroke (AIS) patients and healthy controls for transcriptome expression profiling analysis of mRNA, miRNA, and lncRNA. The dataset, last updated on 2026-04-09, contains an integrative multi-omics analysis revealing a drug-protein-ceRNA regulatory network in AIS. It includes differentially expressed RNAs, constructed ceRNA networks, and molecular docking simulations for predicted therapeutic targets.

Use Cases

• Constructing competitive endogenous RNA (ceRNA) regulatory networks based on differentially expressed mRNA, miRNA, and lncRNA.
• Identifying potential drug targets based on upregulated mRNA combined with Drugbank database information.
• Analyzing key functional pathways and microenvironmental changes in acute ischemic stroke from transcriptome data.
• Validating predicted therapeutic targets via molecular docking simulation with drugs like Acetylsalicylic acid.

Strengths

• The dataset integrates transcriptome data for mRNA, miRNA, and lncRNA from patient and control samples.
• It includes downstream analysis linking RNA networks to drug targets from the Drugbank database.
• The file size is 8.8 MB, suggesting a detailed but manageable dataset.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Transcriptome expression profiling analysis of peripheral whole blood samples from AIS patients and healthy controls.

Freshness

Last updated 2026-04-09 04:06:36; freshness should be verified.