School of Molecular & Microbial Biosciences G-08, University of Sydney, Sydney, NSW 2006, Australia.
Analyst. 2009 Nov;134(11):2253-61. doi: 10.1039/b912234f. Epub 2009 Sep 11.
The use of high resolution mass spectrometry to record the accurate mass of signature peptides within proteolytic digests of the nucleoprotein antigen, and whole influenza virus, is shown to be able to rapidly type and subtype the virus. Conserved sequences for predicted tryptic peptides were identified through alignments of those for the nucleoprotein across all influenza types and subtypes. Peptides with unique theoretical masses from those generated in silico for all influenza antigen sequences, and from those proteins known to contaminate virus preparations in laboratory grown samples, were identified using a purpose built algorithm (FluGest). The frequency of occurrence of such conserved peptide signatures was assessed across all nucleoprotein sequences to subsequently type and subtype human strains of the virus. The application of the approach is illustrated for both type A H1N1 and H3N2, and type B strains of human influenza virus.
利用高分辨率质谱技术记录核蛋白抗原和全流感病毒酶解产物中特征肽段的精确质量,可快速对病毒进行分型和亚型鉴定。通过对所有流感类型和亚型的核蛋白预测胰酶肽序列进行比对,确定了保守序列。使用专门设计的算法(FluGest),从所有流感抗原序列的理论上生成的肽段以及从实验室培养样本中已知污染病毒制剂的蛋白质中,鉴定出具有独特理论质量的肽段。通过评估所有核蛋白序列中这些保守肽段特征的出现频率,对病毒进行后续的分型和亚型鉴定。该方法在 A 型 H1N1 和 H3N2 以及 B 型人类流感病毒株中的应用进行了说明。