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Identification of novel gene and pathway targets for human epilepsy treatment
Jin, Ying; Zhao, Chunzhe; Chen, Lihui; Liu, Xiangyu; Pan, Shuxiao; Ju, Dongsheng; Ma, Jing; Li, Jinying; Wei, Bo.
  • Jin, Ying; Jilin Oilfield General Hospital. Department of Neurology. Songyuan. CN
  • Zhao, Chunzhe; Jilin Oilfield General Hospital. Department of Neurology. Songyuan. CN
  • Chen, Lihui; Jilin Oilfield General Hospital. Department of Neurology. Songyuan. CN
  • Liu, Xiangyu; Jilin Oilfield General Hospital. Department of Neurology. Songyuan. CN
  • Pan, Shuxiao; Jilin Oilfield General Hospital. Department of Neurology. Songyuan. CN
  • Ju, Dongsheng; Jilin Oilfield General Hospital. Department of Neurology. Songyuan. CN
  • Ma, Jing; Jilin Oilfield General Hospital. Department of Neurology. Songyuan. CN
  • Li, Jinying; Jilin Oilfield General Hospital. Department of Neurology. Songyuan. CN
  • Wei, Bo; Jilin Oilfield General Hospital. Department of Neurology. Songyuan. CN
Biol. Res ; 49: 1-9, 2016. ilus, graf, tab
Article in English | LILACS | ID: lil-774430
ABSTRACT

BACKGROUND:

The aim of this study was to explore epilepsy-related mechanism so as to figure out the possible targets for epilepsy treatment.

METHODS:

The gene expression profile dataset GES32534 was downloaded from Gene Expression Omnibus database. We identified the differentially expressed genes (DEGs) by Affy package. Then the DEGs were used to perform gene ontology (GO) and pathway enrichment analyses. Furthermore, a protein-protein interaction (PPI) network was constructed with the DEGs followed by co-expression modules construction and analysis.

RESULTS:

Total 420 DEGs were screened out, including 214 up-regulated and 206 down-regulated genes. Functional enrichment analysis revealed that down-regulated genes were mainly involved in the process of immunity regulation and biological repairing process while up-regulated genes were closely related to transporter activity. PPI network analysis showed the top ten genes with high degrees were all down-regulated, among which FN1 had the highest degree. The up-regulated and down-regulated DEGs in the PPI network generated two obvious sub-co-expression modules, respectively. In up-co-expression module, SCN3B (sodium channel, voltage gated, type III beta subunit) was enriched in GO0006814 ~ sodium ion transport. In down-co-expression module, C1QB (complement C1s), CIS (complement component 1, S subcomponent) and CFI (complement factor I) were enriched in GO0006955 ~ immune response.

CONCLUSION:

The immune response and complement system play a major role in the pathogenesis of epilepsy. Additionally, C1QB, C1S, CFI, SCN3B and FN1 may be potential therapeutic targets for epilepsy.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Gene Expression Profiling / Epilepsy / Transcriptome Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Biol. Res Journal subject: Biology Year: 2016 Type: Article Affiliation country: China Institution/Affiliation country: Jilin Oilfield General Hospital/CN

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Full text: Available Index: LILACS (Americas) Main subject: Gene Expression Profiling / Epilepsy / Transcriptome Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Biol. Res Journal subject: Biology Year: 2016 Type: Article Affiliation country: China Institution/Affiliation country: Jilin Oilfield General Hospital/CN