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.
Temporal lobe epilepsy (TLE) is a chronic disease of the nervous system, associated with increased proliferation in the hippocampus. Urothcarcinoma associated 1 (UCA1) is a long long non-coding RNA that was shown to regulate proliferation and differentiation of neural progenitors in vitro. We hypothesised that TLE-associated abnormal proliferation is a consequence of the downregulation of UCA1. This hypothesis was tested in mice with kainic acid (KA)-induced seizures, and then the potential mechanism was explored in vitro and in vivo. Result showed that the expression of UCA1 and Secreted Frizzled Related Protein 1 (SFRP1) were significantly reduced in hippocampal tissues of epileptic mice, while miR-375 was increased compared with the control group. Pearson correlation analysis showed that UCA1 was positively correlated with SFRP1, while miR-375 was negatively correlated with UCA1 and SFRP1. Besides, UCA1 was overexpressed in mice and the overexpression of UCA1 significantly reversed the abnormal proliferation of hippocampal neurons in epilepsy mice. In vitro Luciferase assay showed that UCA1 and Sfrp1 are both the targets of miR-375, and UCA1 promotes the expression of Sfrp1 by competitively adsorbing miR-375, thereby inhibiting the activation of the WNT/β-catenin pathway. The inactivation of the WNT/β-catenin pathway prevented the abnormal proliferation of neural progenitors in the epileptic hippocampus. In conclusion, our findings provide a theoretical basis for the clinical application of UCA1.
BackgroundGlobally, breast cancer is one of the most common cancers with poor prognosis. The Fanconi anemia (FA) pathway genes maintain genome stability and play important roles in human diseases, including cancer. However, the prognostic values and biological roles of FA pathway genes in breast cancer have not been clarified.MethodsIn this study, the ONCOMINE, UCSC Xena, UALCAN, Kaplan-Meier plotter, cBioPortal, GEPIA, GeneMANIA, DAVID and TIMER databases were used to investigate the transcriptional and survival data of FA pathway genes in patients with breast cancer.ResultsMost of the FA pathway genes were found to be significantly upregulated in breast cancer tissues when compared to normal tissues. Additionally, the elevated expression levels of FA pathway genes were significantly associated with poor survival outcomes in breast cancer patients. Through functional enrichment analysis, the FA pathway genes were positively associated with cell cycle and nucleoplasm and negatively correlated with SRP-dependent co-translational protein targeting to membrane and ribosome. Furthermore, the expression levels of FA pathway genes exhibited a significant positive association with immune infiltration.ConclusionThe FA pathway genes are potential prognostic biomarkers for breast cancer and may offer effective as well as new strategies for cancer management.
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