ArticleThe Kaohsiung journal of medical sciences2021
Differentially expressed circRNA and functional pathways in the hippocampus of epileptic mice based on next-generation sequencing.
Article in The Kaohsiung journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Whole genome circRNA profiling ofDrug metabolism and personalized therapy · 2026Article
- Mitigating effects of Jiawei Chaihu Shugan decoction on necroptosis and inflammation of hippocampal neurons in epileptic mice.Scientific reports · 2025Article
- Epigenetic Mechanisms in the Pathophysiology and Progression of Epilepsy: A Comprehensive Review of Experimental and Clinical Studies.Current neuropharmacology · 2025Review
- CircRNA-associated ceRNA regulatory networks as emerging mechanisms governing the development and biophysiopathology of epilepsy.CNS neuroscience & therapeutics · 2024Review
- Circulating miRNAs as Novel Clinical Biomarkers in Temporal Lobe Epilepsy.Non-coding RNA · 2024Review
- Differentially expressed circRNA and functional pathways in the hippocampus of epileptic mice based on next-generation sequencing.The Kaohsiung journal of medical sciences · 2021Article
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Authors and funding
10 authors.
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Abstract
Epilepsy is a clinical syndrome caused by the highly synchronized abnormal discharge of brain neurons. It has the characteristics of paroxysmal, transient, repetitive, and stereotyped. Circular RNAs (circRNAs) are a recently discovered type of noncoding RNA with diverse cellular functions related to their excellent stability; additionally, some circRNAs can bind and regulate microRNAs (miRNAs). The present study was designed to screen the differentially expressed circRNA in an acute seizure model of epilepsy in mice, analyze the related miRNA and mRNA, and study their participating functions and enrichment pathways. In order to obtain the differential expression of circRNA in epilepsy and infer their function, we used next-generation sequencing and found significantly different transcripts. CIRI (circRNA identifier) software was used to predict circRNA from the hippocampus cDNA, EdgeR was applied for the differential circRNA analysis between samples, and Cytoscape 3.7.2 software was used to draw the network diagram. A total of 10,388 differentially expressed circRNAs were identified, of which 34 were upregulated and 66 were downregulated. Among them, mm9_circ_008777 and mm9_circ_004424 were the key upregulated genes, and their expression in the epilepsy group was verified using Quantitative real-time PCR (QPCR). The analysis indicated that the extracted gene ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways were closely related to several epilepsy-associated processes. This study determined that mm9_circ_008777 and mm9_circ_004424 are potential biomarkers of epilepsy, which play important roles in epilepsy-related pathways. These results could help improve the understanding of the biological mechanisms of circRNAs and epilepsy treatments.
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