Siddiki A M A M Z, Wastling Jonathan M
Department of Preclinical Veterinary Sciences, Faculty of Veterinary Science, University of Liverpool, Crown Street, Liverpool, L69 7ZJ, UK.
J Vet Sci. 2009 Sep;10(3):203-10. doi: 10.4142/jvs.2009.10.3.203.
Cryptosporidium (C.) spp. are important zoonotic parasites causing widespread diarrhoeal disease in man and animals. The recent release of the complete genome sequences for C. parvum and C. hominis has facilitated the comprehensive global proteome analysis of these opportunistic pathogens. The well-known approach for mass spectrometry (MS) based data analysis using the BLAST tool (MS BLAST) is a database search protocol for identifying unknown proteins by sequence similarity to homologous proteins using peptide sequences produced by mass spectrometry. We have used several complementary approaches to explore the global sporozoite proteome of C. parvum with available proteomic tools. To optimize the output of the MS data, a sequence similarity-based MS BLAST strategy was employed for bioinformatic analysis. Most significantly, almost all the constituents of glycolysis and several mitochondrion-related proteins were identified. In addition, many hypothetical Cryptosporidium proteins were validated by the identification of their constituent peptides. The MS BLAST approach was found to be useful during the study and could provide valuable information towards a complete understanding of the unique biology of Cryptosporidium.
隐孢子虫属是重要的人畜共患寄生虫，可在人和动物中引发广泛的腹泻疾病。近期公布的微小隐孢子虫和人隐孢子虫的完整基因组序列，推动了对这些机会性病原体进行全面的全球蛋白质组分析。基于质谱（MS）数据分析的著名方法，即使用BLAST工具（MS BLAST），是一种数据库搜索协议，通过与质谱产生的肽序列的同源蛋白质进行序列相似性来鉴定未知蛋白质。我们使用了几种互补方法，利用现有的蛋白质组学工具探索微小隐孢子虫的全球子孢子蛋白质组。为了优化MS数据的输出，采用了基于序列相似性的MS BLAST策略进行生物信息学分析。最重要的是，几乎所有糖酵解成分和几种与线粒体相关的蛋白质都被鉴定出来。此外，许多隐孢子虫假定蛋白通过其组成肽段的鉴定得到了验证。研究发现MS BLAST方法很有用，可为全面了解隐孢子虫独特的生物学特性提供有价值的信息。
