生物
效应器
干扰素
基因
计算生物学
微阵列分析技术
基因表达谱
否定选择
微阵列
基因表达
遗传学
细胞生物学
基因组
作者
Paul J. Hertzog,Samuel C. Forster,Shamith A. Samarajiwa
出处
期刊:Journal of Interferon and Cytokine Research
[Mary Ann Liebert]
日期:2011-01-01
卷期号:31 (1): 5-11
被引量:116
标识
DOI:10.1089/jir.2010.0126
摘要
The interferons (IFNs) are a pleiotropic family of cytokines that perform fundamental functions in protecting host organisms from disease and in maintaining homeostasis. Like other multifunctional cytokines, excessive or inappropriate activity can cause toxicity and even death. Therefore, host organisms have evolved specific and highly regulated mechanisms to control the temporal and tissue specificity of production of IFNs and the selection of pathways and genes to be activated as the effectors of the IFN response in cells. There are now numerous microarray datasets available to enable a "global" analysis of the genes involved in the IFN response. This article describes the INTERFEROME database, which assimilates the available expression profiling data and its contents and enables the definition of IFN-regulated genes, discovery of pathways, regulatory networks, and tissue specificities of the IFN response.
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