CircRNA ceRNA Network in Dendritic Cells During Tuberculosis Infection

A ceRNA regulatory network of 10 circRNAs, 41 miRNAs, and 145 mRNAs was constructed from GEO datasets of Mycobacterium tuberculosis-infected dendritic cells. Four core genes—STAT1, BCL2, TRAF6, and IL1A—were identified and enriched in tuberculosis-related pathways. The dataset, created by Xiaohong Sun and last updated in April 2026, includes validated diagnostic axes with ROC AUC >0.7.

Use Cases

• Validate predicted circRNA-miRNA-mRNA regulatory axes based on the described ceRNA network.
• Analyze protein-protein interaction networks based on the 30 identified hub nodes.
• Perform pathway enrichment analysis based on the Gene Ontology and KEGG results mentioned.
• Assess diagnostic biomarker potential based on the ROC curve analysis results for specific axes.

Strengths

• Includes validated diagnostic axes (circNFATC3/miR-150-5p/STAT1 and circNFATC3/miR-23a-3p/BCL2) with ROC AUC >0.7.
• Regulatory network is constructed from multiple prediction databases (circBank, CircInteractome, TargetScan, miRanda).
• Analysis includes multiple layers: PPI network, GO, and KEGG enrichment.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The authors note findings are limited to experimental DC models and require clinical validation.

Provenance

Source

figshare, author Xiaohong Sun.

Collection Method

Constructed from analysis of GEO datasets and predictions from circBank, CircInteractome, TargetScan, and miRanda databases.

Time Range

Temporal coverage of the underlying GEO datasets is not specified.

Freshness

Last updated 2026-04-13 04:33:24; freshness should be verified.

Geography

Spatial coverage is not specified.