Genomics

Dataset Information

0

The mircoRNA expression profiles of human temporal lobe epilepsy in HS ILAE type 1


ABSTRACT: Temporal lobe epilepsy (TLE) is associated with neurodegeneration, often leading to hippocampal sclerosis (HS). The type 1 HS, which is characterized by severe neuronal cell loss and gliosis predominantly in regions CA1 and CA4, is the most common subtype and is associated with best prognosis according to ILAE classification system. MiRNAs are participate in the biological processes underlying many nervous system diseases including epilepsy. However, the miRNA expression profile of HS ILAE type 1 is not completely understood. A total of 14 patients were identified as having the ILAE subtype, as determined by NeuN immunohistochemistry (ILAE type 1=7; no-HS=7). Next-generation sequencing and reverse transcription polymerase chain reaction technology was used to validate the dysregulated miRNAs. Bioinformatics analysis of the predicted target gene was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis. In total, 1643 mature miRNAs were detected in this study, along with 5 miRNAs were upregulated and 2 miRNAs were downregulated expression in the type 1 group. Bioinformatics analysis showed that 1545 target genes were predicted using miRDB and Targetscan databases, and these predicted genes showed enrichment in the pathway associated with nucleic acid binding, intracellular and cellular macromolecule metabolic processes, and the PI3K-Akt signaling pathway. This study is the first to report the miRNA expression profile of HS ILAE type 1 compared with no-HS. These results provide new insights into the neuron loss pathology and offer fundamental evidence as to why there is a good prognosis among patients with type 1 HS.

ORGANISM(S): Homo sapiens

PROVIDER: GSE124507 | GEO | 2019/01/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-11-06 | GSE245228 | GEO
2022-03-31 | GSE186334 | GEO
| PRJNA590471 | ENA
| PRJNA512243 | ENA
2023-06-20 | E-MTAB-13092 | biostudies-arrayexpress
2021-09-04 | GSE140658 | GEO
2021-01-18 | PXD023048 | Pride
2017-11-30 | GSE99455 | GEO
2016-06-29 | E-GEOD-71058 | biostudies-arrayexpress
2008-01-01 | E-MEXP-744 | biostudies-arrayexpress