探索蛋白质组圈的工具。
Tools for exploring the proteomosphere.
作者信息
Shevchenko Andrej, Valcu Cristina-Maria, Junqueira Magno
机构信息
Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany.
出版信息
J Proteomics. 2009 Mar 6;72(2):137-44. doi: 10.1016/j.jprot.2009.01.012. Epub 2009 Jan 22.
Abstract
Homology-driven proteomics aims at exploring the proteomes of organisms with unsequenced genomes that, despite rapid genomic sequencing progress, still represent the overwhelming majority of species in the biosphere. Methodologies have been developed to enable automated LC-MS/MS identifications of unknown proteins, which rely on the sequence similarity between the fragmented peptides and reference database sequences from phylogenetically related species. However, because full sequences of matched proteins are not available and matching specificity is reduced, estimating protein abundances should become the obligatory element of homology-driven proteomics pipelines to circumvent the interpretation bias towards proteins from evolutionary conserved families.
摘要
同源性驱动的蛋白质组学旨在探索基因组未测序生物的蛋白质组，尽管基因组测序进展迅速，但这些生物仍占生物圈中物种的绝大多数。已经开发出一些方法来实现对未知蛋白质的自动化液相色谱-串联质谱鉴定，这些方法依赖于片段化肽与系统发育相关物种参考数据库序列之间的序列相似性。然而，由于匹配蛋白质的完整序列不可用且匹配特异性降低，估计蛋白质丰度应成为同源性驱动的蛋白质组学流程中的必要元素，以规避对进化保守家族蛋白质的解释偏差。
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