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Analysis of differentially expressed genes in early- and late-stage APPsw-transgenic and normal mice using cDNA microarray
The complexity of Alzheimer's disease (AD) has made it difficult to examine its underlying mechanism. A gene microarray offers a solution to the complexity through a parallel analysis of most of the genes expressed in the brains from AD-transgenic mice. In our previous study, a total of 52 diff...
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Published in: | International journal of molecular medicine 2007-03, Vol.19 (3), p.461-468 |
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Main Authors: | , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | The complexity of Alzheimer's disease (AD) has made it difficult to examine
its underlying mechanism. A gene microarray offers a solution to the complexity
through a parallel analysis of most of the genes expressed in the brains from
AD-transgenic mice. In our previous study, a total of 52 differentially expressed
genes were identified in 18-month-old APPsw-transgenic mice compared to age-matched
normal mice. We extended our work to better understand the relevant gene profiles
from both early- and late-stage transgenic and normal mice. To accomplish this,
cDNA microarray was used with the large-scale screening of the brain mRNA from
transgenic and normal mice of 1 and 18 months of age. We identified a total of
48 genes, 6 up-regulated and 42 down-regulated, differentially expressed with
a significant degree of induction and reduction in the brains from moderate 18-month-old
transgenic mice compared to 1-month-old transgenic mice. In parallel, a total
of 40 differentially expressed genes, 6 up-regulated and 34 down-regulated, were
also found in the brains from moderate 18-month-old normal mice compared to 1-month-old
normal mice. Thus, differentially expressed genes upon APPsw overexpression and
the aging process are useful targets through which investigators can choose genes
of particular interest. In the future, it will be necessary to study the function
of differentially expressed genes, which are targets for developing drugs, using
pharmacoproteomics. |
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ISSN: | 1107-3756 |