Control and variability of gene expression in mouse brain and in a neuroblastoma cell line.

D A Iacobaş, Marcia Urban, Sanda Iacobaş, D C Spray
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Abstract

We used cDNA microarrays to examine the extent to which the expression of individual genes varies in mouse brain and in cultured N2A neuroblastoma cells mRNA extracted from sixC57B1/6J neonatal mouse brains and from four distinct cultures of N2A neuroblastoma cells was cross-hybridized with ten AECOM cDNA microarray chips to determine the individual gene expression variability. A mathematical algorithm reduced the effect of potential sources of variability not associated to the biological material by about 80%. The interval estimates of the standard deviation of individual gene expressionwere determined through chi-square statistics. The newly introduced relative expression variability, defined as the quotient of the middle of the interval estimate of the standard deviation and the mean expression ratio (and its inverse, gene transcription control), was used to rank the most unstably and the most stably transcribed genes. In brains of different animals and in separate cultures of N2A cells, unique sets ofgenes exhibited exceptional stability or were highly variable. Possible implications for such tight or loose transcriptional control are discussed.

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小鼠脑和神经母细胞瘤细胞系基因表达的控制和变异。
我们使用cDNA微阵列技术检测了小鼠大脑中单个基因的表达变化程度,并在培养的N2A神经母细胞瘤细胞中,将从sixC57B1/6J新生小鼠大脑和四种不同培养的N2A神经母细胞瘤细胞中提取的mRNA与十个AECOM cDNA微阵列芯片交叉杂交,以确定个体基因表达的变异性。数学算法将与生物材料无关的变异性潜在来源的影响降低了约80%。个体基因表达标准差的区间估计通过卡方统计确定。新引入的相对表达变异性,定义为标准差区间估计值的中间值与平均表达比(及其逆,基因转录控制)的商,用于对转录最不稳定和最稳定的基因进行排序。在不同动物的大脑和不同的N2A细胞培养中,独特的基因组表现出异常的稳定性或高度可变。对这种严格或松散的转录控制可能产生的影响进行了讨论。
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