MISC

2004年5月

Screening for control genes in rat global cerebral ischemia using high-density oligonucleotide array

JOURNAL OF NEUROSCIENCE RESEARCH
  • MS Kobayashi
  • ,
  • Y Takahashi
  • ,
  • T Nagata
  • ,
  • Y Nishida
  • ,
  • A Murata
  • ,
  • K Ishikawa
  • ,
  • S Asai

76
4
開始ページ
512
終了ページ
518
記述言語
英語
掲載種別
DOI
10.1002/jnr.20094
出版者・発行元
WILEY-LISS

From conventional relative gene expression analyses (Northern blotting, in situ hybridization, and RT-PCR), it has been reported that the expression of control genes, such as glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and beta-actin, used as references may be affected by ischemia. Therefore, we extended searching and evaluation at the mRNA level of transcripts whose expression levels were not changed by cerebral ischemia, using a high-density oligonucleotide array and statistical analysis in a rat global cerebral ischemia and reperfusion model. We added a hyperthermic factor and localization factor to ischemia and identified transcripts with a stable expression level under conditions even more disadvantageous than ischemia only. Screening of more than 8,000 transcripts with the Rat Genome U34A array yielded 28 transcripts, which we listed and classified according to their expression level. Widely used control genes, GAPDH and beta-actin, were not included, although cyclophilin A was included. In addition, we conducted a functional classification based on gene ontology. Under the functional classification of the 28 transcripts, many genes tended to be associated with metabolism. In conclusion, use of several transcripts is recommended, such as those we identified, as references in the analysis of gene expression in pathological models of ischemia. (C) 2004 Wiley-Liss, Inc.

リンク情報
DOI
https://doi.org/10.1002/jnr.20094
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000221239300009&DestApp=WOS_CPL
ID情報
  • DOI : 10.1002/jnr.20094
  • ISSN : 0360-4012
  • Web of Science ID : WOS:000221239300009

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