Kramer-Hämmerle Susanne, Hahn Alexander, Brack-Werner Ruth, Werner Thomas
GSF-Institute of Molecular Virology, 85764 Neuherberg, Germany.
Gene. 2005 Sep 26;358:31-8. doi: 10.1016/j.gene.2005.05.011.
The challenge of microarray analysis is to unveil the biological mechanisms behind the chip data. Due to the sometimes counteracting influences of de novo transcription, RNA processing and degradation, the discovery of any particular mechanism is difficult. Therefore, a combination of data- and knowledge-driven analysis appears to be the best way to attack the problem. We analyzed human astrocytes stably expressing the HIV-1 nef gene by microarray analyses to elucidate the effects of constitutive HIV-1 Nef expression on the transcriptome of astrocytes. Statistical evaluation of microarray results revealed small clusters of genes specifically up-regulated by native Nef protein in contrast to astrocytes expressing a non-myristoylated Nef variant. At least three significantly overrepresented gene ontology groups (small GTPase signaling, regulation of apoptosis and lipid metabolism) were detected. The JAK/STAT pathway was clearly associated with those genes. This finding agreed well with a literature-based approach, where a network was derived by combined literature and promoter sequence analysis. Promoter organization suggested potentially coordinated transcriptional regulation of some of these genes. Both results were in line with previously reported phenotypic changes.
微阵列分析面临的挑战是揭示芯片数据背后的生物学机制。由于从头转录、RNA加工和降解有时会产生相互抵消的影响,因此很难发现任何特定的机制。因此,结合数据驱动和知识驱动的分析似乎是解决该问题的最佳方法。我们通过微阵列分析对稳定表达HIV-1 nef基因的人类星形胶质细胞进行分析,以阐明组成型HIV-1 Nef表达对星形胶质细胞转录组的影响。微阵列结果的统计评估显示,与表达非肉豆蔻酰化Nef变体的星形胶质细胞相比,天然Nef蛋白特异性上调了一小群基因。检测到至少三个显著富集的基因本体组(小GTPase信号传导、细胞凋亡调节和脂质代谢)。JAK/STAT通路与这些基因明显相关。这一发现与基于文献的方法非常吻合,在该方法中,通过结合文献和启动子序列分析得出了一个网络。启动子组织表明其中一些基因可能存在协调的转录调控。这两个结果都与先前报道的表型变化一致。