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Neuropediatrics ; 39(4): 219-25, 2008 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-19165710

RESUMO

Gene expression in the central nervous system is highly region-specific. We tested the hypothesis that certain developmental biomarkers could be detected in the whole brain or in cortical, subcortical or cerebellar structures. Brain gene expressions of male and female rats at birth, 3 days, and 10 days of age were measured by microarray technique ( approximately 10 K genes; n=9/category). We found 53 significantly up-regulated and 8 down-regulated genes at 10 days of age, relative to birth and 3 days of age. The whole brain, however, showed no significant sex differences in gene expression patterns up to 10 days of age. Ten genes with the highest up-regulation, and 5 down-regulated genes were further confirmed by quantitative real-time PCR (Q-PCR), using the whole brain, cortices, subcortical structures, and cerebellum. The Q-PCR confirmed genes are known to be involved in neuronal differentiation, axonal myelination and growth, neurotransmission and glycolytic pathways. With a few exceptions, the expression levels of Q-PCR confirmed genes were significantly different in the whole brain, compared to other regions. In a separate study, we tested the potential utility of the Q-PCR confirmed genes, as whole brain biomarkers, after a six-hour exposure to hyperoxia (>98% oxygen breathing) in 10 days old rats. This relatively mild oxidative challenge created a 3.5-fold increase in the expression of T-cell receptor beta Variable 8.3b, known to have regulatory function during development. We suggest that genes displaying significant expression in the whole brain, regardless of their origin, could be used to screen normal brain development in neonatal rat models of experimental neurology.


Assuntos
Envelhecimento/fisiologia , Encéfalo/metabolismo , Expressão Gênica/fisiologia , Caracteres Sexuais , Animais , Animais Recém-Nascidos , Encéfalo/anatomia & histologia , Encéfalo/crescimento & desenvolvimento , Feminino , Masculino , Análise em Microsséries/métodos , Gravidez , Ratos , Ratos Sprague-Dawley
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