Blackburn Kevin, Goshe Michael B
Biochemistry Mass Spectrometry Laboratory, North Carolina State University, Raleigh, NC 27695-7622, USA.
Brief Funct Genomic Proteomic. 2009 Mar;8(2):90-103. doi: 10.1093/bfgp/eln051. Epub 2008 Dec 24.
Despite its importance, the 'ultimate' method to identify and quantify site-specific protein phosphorylation using mass spectrometry (MS) has yet to be established. This is as much a function of the dynamic range of instrumentation as it is the complexities surrounding the isolation and behavior of phosphopeptides. Phosphorylation site analysis using MS can be quite challenging when analyzing just one protein and quickly becomes a daunting task when attempting to perform proteome-wide measurements. Data-dependent tandem MS-based methods which are useful for the discovery and characterization of novel phosphorylation sites often lack the dynamic range and quantitative aspect required for studying the temporal phases of phosphorylation. While targeted methods such as multiple reaction monitoring do provide a highly specific and quantitative methodology for studying phosphorylation changes over time, they are not suited for initial discovery of previously unreported sites of phosphorylation. Data-independent acquisition represents a relatively new approach for simultaneous qualitative and quantitative sample analysis which holds promise for filling this technological gap.
尽管其很重要,但使用质谱法(MS)鉴定和定量位点特异性蛋白质磷酸化的“终极”方法尚未确立。这在很大程度上取决于仪器的动态范围,以及围绕磷酸肽分离和行为的复杂性。仅分析一种蛋白质时,使用质谱法进行磷酸化位点分析就颇具挑战性,而尝试进行全蛋白质组测量时,这很快就会变成一项艰巨的任务。基于数据依赖型串联质谱的方法对于发现和表征新的磷酸化位点很有用,但往往缺乏研究磷酸化时间阶段所需的动态范围和定量方面。虽然诸如多反应监测等靶向方法确实为研究磷酸化随时间的变化提供了一种高度特异性和定量的方法,但它们并不适合最初发现以前未报道的磷酸化位点。数据非依赖型采集代表了一种用于同时进行定性和定量样品分析的相对较新的方法,有望填补这一技术空白。