Related Experiment Video
Updated: Jul 8, 2025
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
Integrated bioinformatics and validation to construct lncRNA-miRNA-mRNA ceRNA network in status epilepticus
Yaojing Lin1, Hanyu Wen1, Bin Yang1
1Department of Neurosurgery, Union Hospital, Fujian Medical University, Fuzhou, Fujian Province, China.
Background:
Status epilepticus (SE) is a neurologic emergency with characteristic of prolonged seizure activity. However, the investigation of lncRNA based competing endogenous RNAs (ceRNAs) network in SE still requires further elucidation. This study aims to construct the ceRNA network and uncover the related mechanism in SE.
Methods:
The C57BL/6 mice pilocarpine-induced (SE) model was established (i.p. injection, 300 mg/kg) (n = 3). RNA-Sequencing was carried out and identified the differential expressed genes (DEGs). GO annotations, KEGG, and GSEA analysis were performed to study the underlying mechanism and pathways of the DEGs. Further, the protein-protein interaction (PPI) network and ceRNA network were visualized by Cytoscape software. The expression level of differential expressed genes involved in the ceRNA network was detected by qRT-PCR.
Results:
A total of 345 DE-mRNAs, 84 DE-lncRNAs, and 5 DE-miRNAs were screened out. Subsequently, the functional analysis suggested that angiogenesis, inflammation, and neuron related biological processes were enriched in SE. The constructed ceRNA network-1 contained 7 up-regulated DE-mRNAs (Arid5a, Adm, Insig1, Midn, Btaf1, Per1, Slc25a25), 1 down-regulated DE-miRNA (mmu-miR-6413), and 1 up-regulated DE-lncRNA (Zmiz1os1). The ceRNA network-2 contained 2 down-regulated DE-mRNAs (Rab27a and Lrp2), 1 up-regulated DE-miRNAs (mmu-miR-139-5p), and 1 down-regulated DE-lncRNA (Gm15883).
Conclusion:
For the first time this study present the expression profile and potential function of lncRNAs in C57BL/6 mice with SE. These results provided novel insights into the discovery of genetic biomarkers for SE.
