Yoo Young-Hwa, Yun JiHyeon, Yoon Chang No, Lee Jun-Seok
Molecular Recognition Research Center, Korea Institute of Science and Technology, 39-1 Hawolgok-dong, Seoul, 136-791, Republic of Korea.
1] Molecular Recognition Research Center, Korea Institute of Science and Technology, 39-1 Hawolgok-dong, Seoul, 136-791, Republic of Korea [2] Department of Biological Chemistry, University of Science &Technology, 113 Gwahank-ro, Yuseong-gu, Daejeon 305-333, Republic of Korea.
Sci Rep. 2015 Apr 24;5:9773. doi: 10.1038/srep09773.
Hepatitis C virus (HCV) infection is the leading cause of chronic liver disease that currently affects at least 170 million people worldwide. Although significant efforts have been focused on discovering inhibitors of a viral polymerase (NS5B) or protease (NS3), strategies to cure HCV infection have been hampered by the limited therapeutic target proteins. Thus, discovery of a novel target remains a major challenge. Here, we report a method that combines transcriptome expression analysis with unbiased proteome reactivity profiling to identify novel host cell response factors in HCV infection. A chemical probe for non-directed proteomic profiling was selected based on genome-wide transcriptome expression analysis after HCV infection, which revealed noticeable alterations related to disulfide bond metabolism. On the basis of this result, we screened the proteome reactivity using chemical probes containing thiol-reactive functional groups and discovered a unique labeling profile in HCV-infected cells. A subsequent quantitative chemical proteomic mapping study led to the identification of a target protein, T-plastin (PLST), and its regulation of HCV replication. Our approach demonstrates both a straightforward strategy for selecting chemical probes to discriminate disease states using a model system and its application for proteome reactivity profiling for novel biomarker discovery.
丙型肝炎病毒(HCV)感染是慢性肝病的主要病因,目前全球至少有1.7亿人受其影响。尽管人们已付出巨大努力致力于发现病毒聚合酶(NS5B)或蛋白酶(NS3)的抑制剂,但由于治疗靶点蛋白有限,治愈HCV感染的策略受到了阻碍。因此,发现新的靶点仍然是一项重大挑战。在此,我们报告一种方法,该方法将转录组表达分析与无偏向蛋白质组反应性分析相结合,以鉴定HCV感染中新型宿主细胞反应因子。基于HCV感染后的全基因组转录组表达分析,选择了一种用于非定向蛋白质组分析的化学探针,该分析揭示了与二硫键代谢相关的显著变化。基于这一结果,我们使用含有硫醇反应性功能基团的化学探针筛选蛋白质组反应性,并在HCV感染的细胞中发现了独特的标记图谱。随后的定量化学蛋白质组图谱研究导致鉴定出一种靶蛋白,即T-肌动蛋白(PLST),以及其对HCV复制的调控。我们的方法展示了一种使用模型系统选择化学探针以区分疾病状态的直接策略,及其在用于发现新型生物标志物的蛋白质组反应性分析中的应用。