Acute Ischemic Stroke Multi-Omics Regulatory Network and Drug Targets

Xiaoli Kong collected peripheral whole blood samples from acute ischemic stroke patients and healthy controls for transcriptome expression profiling analysis of mRNA, microRNA, and lncRNA. The dataset includes differentially expressed RNAs and constructs a ceRNA regulatory network, identifying key targets NFKBIA, TNFAIP6, ORM1, FN1, and MMP9. Molecular docking simulations suggest FN1 and MMP9 can bind to therapeutic drugs like Acetylsalicylic acid.

Use Cases

• Constructing ceRNA regulatory networks based on differentially expressed mRNA, miRNA, and lncRNA data
• Identifying potential drug targets based on upregulated mRNA combined with Drugbank database information
• Validating predicted targets via molecular docking simulation with existing therapeutic drugs

Strengths

• Dataset includes transcriptome profiling of mRNA, microRNA, and lncRNA from patient and control samples
• Analysis identifies specific targets NFKBIA, TNFAIP6, ORM1, FN1, and MMP9
• Molecular docking simulation performed with Acetylsalicylic acid

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect bias inherent to the specific patient cohort studied

Provenance

Source

figshare

Collection Method

Transcriptome expression profiling analysis of peripheral whole blood samples from acute ischemic stroke patients and healthy controls

Freshness

Last updated 2026-04-09 04:06:37; freshness should be verified