CircRNA-Mediated ceRNA Network in Dendritic Cells During Tuberculosis Infection

A 30.4 KB Excel file published on figshare in April 2026 by Xiaohong Sun. It contains a constructed competing endogenous RNA (ceRNA) regulatory network from dendritic cells infected with Mycobacterium tuberculosis strains H37Ra and BCG. The network includes 10 circRNAs, 41 miRNAs, and 145 mRNAs, with four core genes and two validated regulatory axes identified.

Use Cases

• Validate predicted circRNA-miRNA-mRNA interactions based on the described ceRNA network.
• Analyze hub genes and pathways like JAK-STAT and NF-κB based on the identified core genes STAT1, BCL2, TRAF6, and IL1A.
• Assess diagnostic biomarker potential for tuberculosis based on the two validated ceRNA axes (circNFATC3/miR-150-5p/STAT1 and circNFATC3/miR-23a-3p/BCL2).
• Perform Gene Ontology and KEGG enrichment analysis on the 30 identified hub nodes from the protein-protein interaction network.

Strengths

• Includes a specific, validated ceRNA network with 10 circRNAs, 41 miRNAs, and 145 mRNAs.
• Identifies two specific regulatory axes (circNFATC3/miR-150-5p/STAT1 and circNFATC3/miR-23a-3p/BCL2) validated by qRT-PCR.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The description notes findings are limited to experimental models of dendritic cell infection and require further clinical validation.
• The dataset is small (30.4 KB), indicating limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

Analysis of GEO datasets, with predictions from circBank, CircInteractome, TargetScan, and miRanda databases.

Collection Method

Computational analysis of high-throughput data followed by qRT-PCR and ROC curve validation.

Time Range

Not specified in the input.

Freshness

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

Geography

Not specified in the input.