1. High-Throughput Data of Circular RNA Profiles in Human Temporal Cortex Tissue Reveals Novel Insights into Temporal Lobe Epilepsy
- Author
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Zhongfang Shi, Guanyi Kong, Shao-Hua Yang, Mei Jia, Xu Yan, Jiaxin Li, Zheng Hongkun, Liu Xiang, Rong Xu, Yujiao Wang, Haijun Lin, Zhenrong Sun, Wen Yanhua, Fang Yuan, and Xiao-Xuan Wang
- Subjects
Male ,0301 basic medicine ,Physiology ,lcsh:Physiology ,Epilepsy ,Gene expression ,lcsh:QD415-436 ,Child ,Temporal cortex ,High-throughput sequencing ,lcsh:QP1-981 ,High-Throughput Nucleotide Sequencing ,Electroencephalography ,Middle Aged ,Temporal lobe epilepsy (TLE) ,Temporal Lobe ,Up-Regulation ,Child, Preschool ,Female ,Sodium-Potassium-Exchanging ATPase ,psychological phenomena and processes ,Adult ,Adolescent ,Down-Regulation ,Computational biology ,Biology ,behavioral disciplines and activities ,DNA sequencing ,Temporal lobe ,lcsh:Biochemistry ,Young Adult ,03 medical and health sciences ,Chloride Channels ,Circular RNA ,microRNA ,MicroRNA sponge ,medicine ,Humans ,Sequence Analysis, RNA ,Computational Biology ,RNA, Circular ,medicine.disease ,nervous system diseases ,MicroRNAs ,030104 developmental biology ,Epilepsy, Temporal Lobe ,Gene Expression Regulation ,nervous system ,RNA ,Closed loop ,CircRNAs ,Biomarkers - Abstract
Background/Aims: Circular RNAs (circRNAs) are a class of long noncoding RNAs with a closed loop structure that regulate gene expression as microRNA sponges. CircRNAs are more enriched in brain tissue, but knowledge of the role of circRNAs in temporal lobe epilepsy (TLE) has remained limited. This study is the first to identify the global expression profiles and characteristics of circRNAs in human temporal cortex tissue from TLE patients. Methods: Temporal cortices were collected from 17 TLE patients and 17 non-TLE patients. Total RNA was isolated, and high-throughput sequencing was used to profile the transcriptome of dysregulated circRNAs. Quantitative PCR was performed for the validation of changed circRNAs. Results: In total, 78983 circRNAs, including 15.29% known and 84.71% novel circRNAs, were detected in this study. Intriguingly, 442 circRNAs were differentially expressed between the TLE and non-TLE groups (fold change≥2.0 and FDR≤0.05). Of these circRNAs, 188 were up-regulated, and 254 were down-regulated in the TLE patient group. Eight circRNAs were validated by real-time PCR. Remarkably, circ-EFCAB2 was intensely up-regulated, while circ-DROSHA expression was significantly lower in the TLE group than in the non-TLE group (P
- Published
- 2018