Damodaran Senthilkumar, Wood Troy D, Nagarajan Priyadharsini, Rabin Richard A
Department of Pharmacology and Toxicology, School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14214, USA.
Genomics Proteomics Bioinformatics. 2007 Dec;5(3-4):152-7. doi: 10.1016/S1672-0229(08)60002-9.
Identification of proteins by mass spectrometry (MS) is an essential step in proteomic studies and is typically accomplished by either peptide mass fingerprinting (PMF) or amino acid sequencing of the peptide. Although sequence information from MS/MS analysis can be used to validate PMF-based protein identification, it may not be practical when analyzing a large number of proteins and when high- throughput MS/MS instrumentation is not readily available. At present, a vast majority of proteomic studies employ PMF. However, there are huge disparities in criteria used to identify proteins using PMF. Therefore, to reduce incorrect protein identification using PMF, and also to increase confidence in PMF-based protein identification without accompanying MS/MS analysis, definitive guiding principles are essential. To this end, we propose a value-based scoring system that provides guidance on evaluating when PMF-based protein identification can be deemed sufficient without accompanying amino acid sequence data from MS/MS analysis.
通过质谱(MS)鉴定蛋白质是蛋白质组学研究中的关键步骤,通常通过肽质量指纹图谱(PMF)或肽的氨基酸测序来完成。虽然来自串联质谱(MS/MS)分析的序列信息可用于验证基于PMF的蛋白质鉴定,但在分析大量蛋白质且无法轻易获得高通量MS/MS仪器时,这可能并不实用。目前,绝大多数蛋白质组学研究采用PMF。然而,使用PMF鉴定蛋白质所采用的标准存在巨大差异。因此,为了减少使用PMF时错误的蛋白质鉴定,并在不进行伴随的MS/MS分析的情况下提高基于PMF的蛋白质鉴定的可信度,明确的指导原则至关重要。为此,我们提出了一种基于值的评分系统,该系统为评估何时基于PMF的蛋白质鉴定在没有来自MS/MS分析的氨基酸序列数据的情况下可被视为足够提供指导。