Gene expression profiling of cerebellar development with high-throughput functional analysis.
Gene expression profiling of cerebellar development with high-throughput functional analysis.
复制标题
DOI：
10.1152/physiolgenomics.00142.2004
复制
发表时间：
2005-06
影响因子：
4.6
通讯作者：
S. Saito;Kimi Honma;Hiroko Kita-Matsuo;T. Ochiya;Kikuya Kato
中科院分区：
文献类型：
--
作者：
S. Saito;Kimi Honma;Hiroko Kita-Matsuo;T. Ochiya;Kikuya Kato
我们测量了450个基因的表达水平在小鼠出生后小脑发育的定量PCR使用纯化的RNA层小脑皮质。数据矩阵的主成分分析表明，第一和第二个组件对应的基因表达和基因表达模式的一般水平，分别。我们使用基于去端肽胶原的高通量转染试验将450个基因中的288个引入PC12细胞，并确定每个基因促进神经突生长或细胞增殖的能力。五个基因诱导神经突生长，七个基因增强增殖。功能数据和基因表达模式的评估表明，这些基因在成熟时均未表现出升高的表达，这表明成熟神经元的基因特征不太可能参与神经元发育。这些结果表明，功能数据可以促进表达谱的解释和参与生物过程的新分子的鉴定。
We measured the expression levels of 450 genes during mouse postnatal cerebellar development by quantitative PCR using RNA purified from layers of the cerebellar cortex. Principal component analysis of the data matrix demonstrated that the first and second components corresponded to general levels of gene expression and gene expression patterns, respectively. We introduced 288 of the 450 genes into PC12 cells using a high-throughput transfection assay based on atelocollagen and determined the ability of each gene to promote neurite outgrowth or cell proliferation. Five genes induced neurite outgrowth, and seven genes enhanced proliferation. Evaluation of the functional data and gene expression patterns showed that none of these genes exhibited elevated expression at maturation, suggesting that genes characteristic of mature neurons are not likely to participate in neuronal development. These results demonstrate that functional data can facilitate interpretation of expression profiles and identification of new molecules that participate in biological processes.