Yan Wei, Lee Hookeun, Yi Eugene C, Reiss David, Shannon Paul, Kwieciszewski Bartlomiej K, Coito Carlos, Li Xiao-jun, Keller Andrew, Eng Jimmy, Galitski Timothy, Goodlett David R, Aebersold Ruedi, Katze Michael G
Institute for Systems Biology, Seattle, WA 98103, USA.
Genome Biol. 2004;5(8):R54. doi: 10.1186/gb-2004-5-8-r54. Epub 2004 Jul 22.
Interferons (IFNs) play a critical role in the host antiviral defense and are an essential component of current therapies against hepatitis C virus (HCV), a major cause of liver disease worldwide. To examine liver-specific responses to IFN and begin to elucidate the mechanisms of IFN inhibition of virus replication, we performed a global quantitative proteomic analysis in a human hepatoma cell line (Huh7) in the presence and absence of IFN treatment using the isotope-coded affinity tag (ICAT) method and tandem mass spectrometry (MS/MS).
In three subcellular fractions from the Huh7 cells treated with IFN (400 IU/ml, 16 h) or mock-treated, we identified more than 1,364 proteins at a threshold that corresponds to less than 5% false-positive error rate. Among these, 54 were induced by IFN and 24 were repressed by more than two-fold, respectively. These IFN-regulated proteins represented multiple cellular functions including antiviral defense, immune response, cell metabolism, signal transduction, cell growth and cellular organization. To analyze this proteomics dataset, we utilized several systems-biology data-mining tools, including Gene Ontology via the GoMiner program and the Cytoscape bioinformatics platform.
Integration of the quantitative proteomics with global protein interaction data using the Cytoscape platform led to the identification of several novel and liver-specific key regulatory components of the IFN response, which may be important in regulating the interplay between HCV, interferon and the host response to virus infection.
干扰素(IFNs)在宿主抗病毒防御中发挥关键作用,并且是目前针对丙型肝炎病毒(HCV)治疗的重要组成部分,HCV是全球肝脏疾病的主要病因。为了研究肝脏对干扰素的特异性反应并开始阐明干扰素抑制病毒复制的机制,我们使用同位素编码亲和标签(ICAT)方法和串联质谱(MS/MS),在有无干扰素处理的情况下,对人肝癌细胞系(Huh7)进行了全球定量蛋白质组分析。
在用干扰素(400 IU/ml,16小时)处理或模拟处理的Huh7细胞的三个亚细胞组分中,我们在对应于小于5%假阳性错误率的阈值下鉴定出了1364种以上的蛋白质。其中,分别有54种被干扰素诱导,24种被抑制超过两倍。这些受干扰素调节的蛋白质代表了多种细胞功能,包括抗病毒防御、免疫反应、细胞代谢、信号转导、细胞生长和细胞组织。为了分析这个蛋白质组学数据集,我们使用了几种系统生物学数据挖掘工具,包括通过GoMiner程序的基因本体论和Cytoscape生物信息学平台。
使用Cytoscape平台将定量蛋白质组学与全球蛋白质相互作用数据整合,导致鉴定出了几种新型的肝脏特异性干扰素反应关键调节成分,这可能在调节HCV、干扰素和宿主对病毒感染反应之间的相互作用中很重要。