Identification of novel gene and pathway targets for human epilepsy treatment

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 (D...

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Autores principales: Jin,Ying, Zhao,Chunzhe, Chen,Lihui, Liu,Xiangyu, Pan,Shuxiao, Ju,Dongsheng, Ma,Jing, Li,Jinying, Wei,Bo
Lenguaje:English
Publicado: Sociedad de Biología de Chile 2016
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602016000100003
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spelling oai:scielo:S0716-976020160001000032016-12-01Identification of novel gene and pathway targets for human epilepsy treatmentJin,YingZhao,ChunzheChen,LihuiLiu,XiangyuPan,ShuxiaoJu,DongshengMa,JingLi,JinyingWei,Bo Epilepsy Differentially expressed genes Functional annotation Protein-protein interaction network Co-expression module 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 GO:0006814 ~ 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 GO:0006955 ~ 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.info:eu-repo/semantics/openAccessSociedad de Biología de ChileBiological Research v.49 20162016-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602016000100003en10.1186/s40659-015-0060-5
institution Scielo Chile
collection Scielo Chile
language English
topic Epilepsy
Differentially expressed genes
Functional annotation
Protein-protein interaction network
Co-expression module
spellingShingle Epilepsy
Differentially expressed genes
Functional annotation
Protein-protein interaction network
Co-expression module
Jin,Ying
Zhao,Chunzhe
Chen,Lihui
Liu,Xiangyu
Pan,Shuxiao
Ju,Dongsheng
Ma,Jing
Li,Jinying
Wei,Bo
Identification of novel gene and pathway targets for human epilepsy treatment
description 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 GO:0006814 ~ 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 GO:0006955 ~ 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.
author Jin,Ying
Zhao,Chunzhe
Chen,Lihui
Liu,Xiangyu
Pan,Shuxiao
Ju,Dongsheng
Ma,Jing
Li,Jinying
Wei,Bo
author_facet Jin,Ying
Zhao,Chunzhe
Chen,Lihui
Liu,Xiangyu
Pan,Shuxiao
Ju,Dongsheng
Ma,Jing
Li,Jinying
Wei,Bo
author_sort Jin,Ying
title Identification of novel gene and pathway targets for human epilepsy treatment
title_short Identification of novel gene and pathway targets for human epilepsy treatment
title_full Identification of novel gene and pathway targets for human epilepsy treatment
title_fullStr Identification of novel gene and pathway targets for human epilepsy treatment
title_full_unstemmed Identification of novel gene and pathway targets for human epilepsy treatment
title_sort identification of novel gene and pathway targets for human epilepsy treatment
publisher Sociedad de Biología de Chile
publishDate 2016
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602016000100003
work_keys_str_mv AT jinying identificationofnovelgeneandpathwaytargetsforhumanepilepsytreatment
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AT panshuxiao identificationofnovelgeneandpathwaytargetsforhumanepilepsytreatment
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