Lewis-Sigler Institute for Integrative Genomics, Princeton University, Washington Rd., Princeton, NJ 08544, USA.
Genome Biol. 2011 Dec 19;12(12):R122. doi: 10.1186/gb-2011-12-12-r122.
In quantitative mass spectrometry-based proteomics, the metabolic incorporation of a single source of 15N-labeled nitrogen has many advantages over using stable isotope-labeled amino acids. However, the lack of a robust computational framework for analyzing the resulting spectra has impeded wide use of this approach. We have addressed this challenge by introducing a new computational methodology for analyzing 15N spectra in which quantification is integrated with identification. Application of this method to an Escherichia coli growth transition reveals significant improvement in quantification accuracy over previous methods.
在基于定量质谱的蛋白质组学中,与使用稳定同位素标记的氨基酸相比,代谢掺入单一来源的 15N 标记氮具有许多优势。然而,缺乏用于分析所得光谱的强大计算框架阻碍了这种方法的广泛应用。我们通过引入一种新的计算方法来解决这一挑战,该方法将定量与鉴定相结合,用于分析 15N 光谱。将该方法应用于大肠杆菌生长转变的过程中,与以前的方法相比,其定量准确性有了显著提高。