Department of Biochemistry and Molecular Biology The University of Texas Medical Branch 301 University of Blvd, Galveston, Texas 77555, United States.
Aging and Metabolism Research Program, Oklahoma Medical Research Foundation 825 NE 13th Street Oklahoma City, Oklahoma 73104, United States.
J Am Soc Mass Spectrom. 2024 Aug 7;35(8):1826-1837. doi: 10.1021/jasms.4c00157. Epub 2024 Jul 26.
Labeling with deuterium oxide (DO) has emerged as one of the preferred approaches for measuring the synthesis of individual proteins in vivo. In these experiments, the synthesis rates of proteins are determined by modeling mass shifts in peptides during the labeling period. This modeling depends on a theoretical maximum enrichment determined by the number of labeling sites () of each amino acid in the peptide sequence. Currently, is determined from one set of published values. However, it has been demonstrated that can differ between species and potentially tissues. The goal of this work was to determine the number of for each amino acid within a given experiment to capture the conditions unique to that experiment. We used four methods to compute the values. To test these approaches, we used two publicly available data sets. In a approach, we compute values and the label enrichment from the abundances of three mass isotopomers. The other three methods use the complete isotope profiles and body water enrichment in deuterium as an input parameter. They determine the values by (1) minimizing the residual sum of squares, (2) from the mole percent excess of labeling, and (3) the time course profile of the depletion of the relative isotope abundance of monoisotope. In the test samples, the method using residual sum of squares performed the best. The methods are implemented in a tool for determining the for each amino acid within a given experiment to use in the determination of protein synthesis rates using DO.
氘水(DO)标记已成为测量体内单个蛋白质合成的首选方法之一。在这些实验中,通过在标记期间对肽中的质量位移进行建模来确定蛋白质的合成速率。这种建模取决于由肽序列中每个氨基酸的标记位点()数量决定的理论最大丰度。目前,是从一组已发表的值确定的。然而,已经证明在不同物种和潜在组织之间可能存在差异。这项工作的目的是确定在给定实验中每个氨基酸的数量,以捕获该实验特有的条件。我们使用了四种方法来计算值。为了测试这些方法,我们使用了两个公开可用的数据集。在方法中,我们从三种质量同量异位体的丰度计算值和标记丰度。其他三种方法使用完整的同位素分布和作为输入参数的体水丰度。它们通过(1)最小化残差平方和,(2)从标记的摩尔百分比过剩,以及(3)单同位素相对同位素丰度消耗的时间过程来确定值。在测试样本中,使用残差平方和的方法表现最好。这些方法在用于确定 DO 中使用的蛋白质合成速率的每个氨基酸的方法中实现,以在给定实验中确定。