Literature DB >> 14643002

Gene expression profile analyses of cortical dysplasia by cDNA arrays.

Seung-Ki Kim1, Kyu-Chang Wang, Soo Jin Hong, Chun-Kee Chung, Su-Young Lim, Young-Yim Kim, Je G Chi, Chong Jai Kim, You-Nam Chung, Hyun Jib Kim, Byung-Kyu Cho.   

Abstract

Cortical dysplasia (CD) is a well-recognized cause of intractable epilepsy, especially in children and is characterized histologically by derangements in cortical development and organization. The objective of this study was to expand the current knowledge of altered gene expression in CD as a first step towards in the identification of additional genes operative in the evolution of CD. Surgical specimens were obtained from eight patients (4 males and 4 females; age range 2-38 years; mean 15 years) with a pathologic diagnosis of CD. Nondysplastic temporal neocortex was obtained from a 2-year-old boy with intractable epilepsy and medial temporal lobe ganglioglioma. After total RNA isolation from frozen brain tissues, we carried out gene expression profiling using a cDNA expression array. Differences in gene expressions between CD and the nondysplastic neocortex were confirmed by semi-quantitative conventional reverse transcription-PCR. Three genes (recombination activating gene 1 (RAG1), heat shock 60 kDa protein 1 (HSP-60), and transforming growth factor beta1 (TGF beta1)) were found to be up-regulated more than two-fold in CD, whereas four genes (phosphoinositide-3-kinase regulatory subunit polypeptide 1 [p85 alpha] (PI3K), frizzled homolog 2 [Drosophila], Bcl-2/adenovirus E1B 19 kDa interacting protein (NIP3), and glia maturation factor beta (GMF beta)) were down-regulated to less than 50% of their normal levels. Interestingly, the majority of genes showing altered expression were associated with apoptosis. Our study demonstrates diverse changes in gene expression in CD. However, it remains to be shown which of these are causally related to the evolution of CD.

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Year:  2003        PMID: 14643002     DOI: 10.1016/j.eplepsyres.2003.09.003

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  5 in total

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4.  Key proteins of activating cell death can be predicted through a kainic acid-induced excitotoxic stress.

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Journal:  Biomed Res Int       Date:  2015-01-28       Impact factor: 3.411

5.  Gene expression profile analysis in epilepsy by using the partial least squares method.

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Journal:  ScientificWorldJournal       Date:  2014-05-12
  5 in total

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