Department of Proteomics, Helmholtz Centre for Environmental Research, D-04318 Leipzig, Germany.
Mol Cell Proteomics. 2010 Jun;9(6):1221-7. doi: 10.1074/mcp.M900407-MCP200. Epub 2010 Jan 11.
The metabolic incorporation of stable isotopes such as (13)C or (15)N into proteins has become a powerful tool for qualitative and quantitative proteome studies. We recently introduced a method that monitors heavy isotope incorporation into proteins and presented data revealing the metabolic activity of various species in a microbial consortium using this technique. To further develop our method using an liquid chromatography (LC)-mass spectrometry (MS)-based approach, we present here a novel approach for calculating the incorporation level of (13)C into peptides by using the information given in the decimal places of peptide masses obtained by modern high-resolution MS. In the present study, the applicability of this approach is demonstrated using Pseudomonas putida ML2 proteins uniformly labeled via the consumption of [(13)C(6)]benzene present in the medium at concentrations of 0, 10, 25, 50, and 100 atom %. The incorporation of (13)C was calculated on the basis of several labeled peptides derived from one band on an SDS-PAGE gel. The accuracy of the calculated incorporation level depended upon the number of peptide masses included in the analysis, and it was observed that at least 100 peptide masses were required to reduce the deviation below 4 atom %. This accuracy was comparable with calculations of incorporation based on the isotope envelope. Furthermore, this method can be extended to the calculation of the labeling efficiency for a wide range of biomolecules, including RNA and DNA. The technique will therefore allow a highly accurate determination of the carbon flux in microbial consortia with a direct approach based solely on LC-MS.
稳定同位素(如 (13)C 或 (15)N)在蛋白质中的代谢掺入已成为定性和定量蛋白质组学研究的有力工具。我们最近介绍了一种监测重同位素掺入蛋白质的方法,并使用该技术展示了揭示微生物群落中各种物种代谢活性的数据。为了使用基于液相色谱 (LC)-质谱 (MS) 的方法进一步开发我们的方法,我们在此提出了一种通过利用现代高分辨率 MS 获得的肽质量的小数位信息来计算 (13)C 掺入肽的掺入水平的新方法。在本研究中,通过使用浓度为 0、10、25、50 和 100 原子 % 的培养基中存在的 [(13)C(6)]苯来均匀标记 Pseudomonas putida ML2 蛋白,证明了该方法的适用性。 (13)C 的掺入是基于从 SDS-PAGE 凝胶上的一个条带衍生的几个标记肽计算得出的。计算出的掺入水平的准确性取决于纳入分析的肽质量数,观察到至少需要 100 个肽质量数才能将偏差降低到 4 原子 % 以下。这种准确性与基于同位素包络线的计算相当。此外,该方法可以扩展到计算包括 RNA 和 DNA 在内的各种生物分子的标记效率。因此,该技术将允许通过仅基于 LC-MS 的直接方法对微生物群落中的碳通量进行高度准确的测定。