Deciphering the circRNA-Mediated ceRNA regulatory network in dendritic cells during H37Ra and BCG infection

Background: infection. Methods: -infected DCs. The downstream miRNAs were predicted using the circBank and CircInteractome databases, while the target mRNAs were predicted using TargetScan and miRanda. A ceRNA regulatory network consisting of 10 circRNAs, 41 miRNAs, and 145 mRNAs was constructed. Protein-protein interaction (PPI) analysis identified 30 hub nodes, which were further subjected to Gene Ontology and KEGG enrichment analyses.Subsequently, the circRNA/miRNA/mRNA regulatory axis was assessed, followed by validation using qRT-PCR and evaluation through ROC curve analysis. Results: , were validated by qRT-PCR, showing expression patterns consistent with high-throughput data. ROC analysis demonstrated strong diagnostic potential (AUC >0.7) for both axes. Conclusion: models.

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Journal
Frontiers in Molecular Biosciences
Published
2026-04-13
DOI
https://doi.org/10.3389/fmolb.2026.1764518
Primary Topic
Circular RNAs in diseases
Type
article
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article

Deciphering the circRNA-Mediated ceRNA regulatory network in dendritic cells during H37Ra and BCG infection

Kaixin Zhou, Qian Gao, Shuangshuang Bao, Yan Lin et al.
Frontiers in Molecular Biosciences
Circular RNAs in diseases
article

Deciphering the circRNA-Mediated ceRNA regulatory network in dendritic cells during H37Ra and BCG infection

Kaixin Zhou, Qian Gao, Shuangshuang Bao, Yan Lin, Yali Sun, Xiaohong Sun
article en

Abstract

Background: infection. Methods: -infected DCs. The downstream miRNAs were predicted using the circBank and CircInteractome databases, while the target mRNAs were predicted using TargetScan and miRanda. A ceRNA regulatory network consisting of 10 circRNAs, 41 miRNAs, and 145 mRNAs was constructed. Protein-protein interaction (PPI) analysis identified 30 hub nodes, which were further subjected to Gene Ontology and KEGG enrichment analyses.Subsequently, the circRNA/miRNA/mRNA regulatory axis was assessed, followed by validation using qRT-PCR and evaluation through ROC curve analysis. Results: , were validated by qRT-PCR, showing expression patterns consistent with high-throughput data. ROC analysis demonstrated strong diagnostic potential (AUC >0.7) for both axes. Conclusion: models.

Frontiers in Molecular BiosciencesVol. 13
Beihua University (CN)
Good health and well-being
Openalex Percentile: Top 19%
Circular RNAs in diseases
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