Proteomics：病毒条形码为突变株提供快速检测

众所周知，病毒能感染细胞，并劫持细胞，将其转变成病毒生产工厂，改变感染细胞内的蛋白质平衡，使一些蛋白质过量生产，其他的被抑制。病毒类型决定着哪一种蛋白质会受影响及其受影响的程度，鉴定出最受影响的蛋白质，以此作为疾病条形码的分子标签，这样每种病毒感染就会有唯一对应的疾病条形码，通过此条形码不仅可以确定病毒类型，还可以确定病毒感染程度。为此，研究人员展开了相关研究，采用SILAC标记技术结合质谱技术，测量比较样本中成千上万的蛋白质，鉴定出受病毒影响最大的蛋白质，研究结果发表在5月14日的Proteomics上。当前，研究人员正在给不同流感病毒株和人呼吸道合胞病毒(HRSV)制定相应的条形码。若建立相应病毒分子标签库，就可以快速地确定病毒类型、疾病严重性等，从而采取合适的措施控制感染，减少恐慌。

doi:10.1002/pmic.201100470
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A quantitative proteomic analysis of lung epithelial (A549) cells infected with 2009 pandemic influenza A virus using stable isotope labelling with amino acids in cell culture

Brian K. Dove, Rebecca Surtees, Thomas J.H. Bean, Diane Munday, Helen M. Wise, Paul Digard,Miles W. Carroll, Paul Ajuh, John N. Barr, Julian A. Hiscox

Influenza A virus is one of the world's major uncontrolled pathogens, causing seasonal epidemics as well as global pandemics. This was evidenced by the recent emergence and now prevalence of the 2009 swine origin pandemic H1N1 influenza A virus. In this study, quantitative proteomics using stable isotope labelling with amino acids in cell culture was used to investigate the changes in the host cell proteome in cells infected with pandemic H1N1 influenza A virus. The study was conducted in A549 cells that retain properties similar to alveolar cells. Several global pathways were affected, including cell cycle regulation and lipid metabolism, and these could be correlated with recent microarray analyses of cells infected with influenza A virus. Taken together, both quantitative proteomics and transcriptomic approaches can be used to identify potential cellular proteins whose functions in the virus life cycle could be targeted for chemotherapeutic intervention