Kim Taeho, Kim Euiyong, Park Seok-Ju, Joo Hyun
Department of Physiology and Integrated Biosystems, College of Medicine, Inje University, Busan 614-735, Republic of Korea.
Comput Biol Med. 2009 Aug;39(8):689-96. doi: 10.1016/j.compbiomed.2009.05.006. Epub 2009 Jun 21.
Mitochondrial proteins associated with a wide spectrum of human diseases and currently large amounts of tissue or organ specific human mitochondrial proteome datasets are generated. However, high-throughput comparative proteomic methods have yet to be applied to extract subtle differences among mitochondria from different tissues or muscle types. The aim of this work was to provide an integrated way to identify and compare huge mitochondrial protein or peptide mass spectral data sets acquired from expert mitochondrial proteome or biomarker discovery community. Proteome comparison of human mitochondria (PCHM) is a web-based analysis environment for manual or automatic analysis of individual peptide mass fingerprints alongside a database of proteins and peptides identified in various organs for human mitochondrial proteins. PCHM provides a suite of graphical tools that allow the virtual plot of peptide mass fingerprinting (PMF) spectra and a fully automatic protein function classification based on gene ontology (GO) annotation system. The new virtual PMF plot is very useful to validate fragmented ion loses of any identical proteins and to remove unwanted foreign ion peaks. Fully automatic protein function classifier provides an easier way to compare the subtle differences of compositionally biased mitochondrial protein functions. PCHM also provides a variety of query algorithms aid in browsing, searching, and accessing complete annotations of data relevant to each mitochondrial protein of interest, which link external databases and users. PCHM will be a useful tool for the systematic and functional characterization of the mitochondrial proteins in relation to human diseases or biological research applications. PCHM can be accessed freely via a web interface http://pchm.inje.ac.kr.
线粒体蛋白质与多种人类疾病相关,目前已生成了大量组织或器官特异性的人类线粒体蛋白质组数据集。然而,高通量比较蛋白质组学方法尚未应用于提取不同组织或肌肉类型线粒体之间的细微差异。这项工作的目的是提供一种综合方法,用于识别和比较从专业线粒体蛋白质组或生物标志物发现群体中获取的大量线粒体蛋白质或肽质谱数据集。人类线粒体蛋白质组比较(PCHM)是一个基于网络的分析环境,用于手动或自动分析单个肽质量指纹,并与在人类线粒体蛋白质的各种器官中鉴定的蛋白质和肽数据库进行比对。PCHM提供了一套图形工具,可实现肽质量指纹图谱(PMF)光谱的虚拟绘制,并基于基因本体(GO)注释系统进行全自动蛋白质功能分类。新的虚拟PMF图谱对于验证任何相同蛋白质的碎片离子损失以及去除不需要的外来离子峰非常有用。全自动蛋白质功能分类器提供了一种更简便的方法来比较组成偏向性线粒体蛋白质功能的细微差异。PCHM还提供了各种查询算法,有助于浏览、搜索和访问与每个感兴趣的线粒体蛋白质相关的数据的完整注释,这些注释链接了外部数据库和用户。PCHM将成为一种有用的工具,用于系统地和功能性地表征与人类疾病或生物学研究应用相关的线粒体蛋白质。可通过网页界面http://pchm.inje.ac.kr免费访问PCHM。