Peptidomics: identification of pathogenic and marker peptides.
Peptidomics: identification of pathogenic and marker peptides.
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DOI：
10.1007/978-1-60761-535-4_20
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发表时间：
2010
影响因子：
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通讯作者：
Y. Xiang;M. Kurokawa;Mie Kanke;Y. Takakuwa;Tomohiro Kato
中科院分区：
文献类型：
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作者：
Y. Xiang;M. Kurokawa;Mie Kanke;Y. Takakuwa;Tomohiro Kato
近年来，质谱法和蛋白质组学取得了巨大进展，蛋白质组学是一门分析蛋白质及其结构和功能的科学。研究天然多肽的蛋白质组学分支常被称为多肽组学。直接分析由蛋白质加工或降解产生的多肽可能有用，例如用于检测和鉴定体液（如血液）中的致病性和/或生物标志物多肽。在本文中，我们介绍了一种用于血清衍生肽综合分析的标准方案，包括血清肽的纯化、肽的检测、模式识别和聚类（生物信息学）以及肽序列鉴定的方法。多肽鉴定之后，应使用合成多肽调查其致病作用，并确定其作为生物临床标志物的用途。
Recent years have seen great advances in mass spectrometry and proteomics, the science dealing with the analysis of proteins, their structure and function. A branch of proteomics dealing with naturally occurring peptides is often referred to as peptidomics. Direct analysis of peptides produced by processing or degradation of proteins might be useful for example for detecting and identifying pathogenic and/or biomarker peptides in body fluids like blood. In this paper, we introduce one of the standard protocols for comprehensive analysis of serum-derived peptides, which consists of methods for purification of serum peptides, detection of peptides, pattern recognition and clustering (bioinformatics), and identification of peptide sequences. Peptide identification should be followed by the investigation of their pathogenic roles using for example synthetic peptides and the establishment of their usefulness as bioclinical markers.