Proteomics Unit, Centro Nacional de Biotecnología, CSIC. Darwin 3. 28049. Madrid, Spain.
Talanta. 2011 Apr 15;84(2):430-6. doi: 10.1016/j.talanta.2011.01.050. Epub 2011 Jan 26.
SILAC is a widely accepted approach for quantitative proteomics in which proteins are labeled with stable isotopes during cell culture. A major drawback of this technique is the metabolic conversion of labeled amino acids that may hamper accurate quantification. A paradigmatic example of this phenomenon is the generation of labeled proline from arginine, known to occur in a good number of biological models. We propose a novel methodology to identify and quantitate metabolic conversions as well as to evaluate labeling efficiency in SILAC experiments. In this approach, labeled proteins are reduced to amino acids by acid hydrolysis before LC-MS/MS analysis. Since it is carried out at the amino acid level, tracking the fate of the isotope label is straightforward and can be performed for each amino acid independently. After applying this method to mammalian cells, grown in the presence of heavy arginine and lysine, labeling efficiency and amino acid conversions could be accurately evaluated. Only undesirable labeling of proline was found to occur at a significant extent, varying greatly among cell lines. Finally, increasing proline concentration in the growing medium was shown to be effective at preventing arginine conversion without any noticeable side effect.
SILAC 是一种广泛应用于定量蛋白质组学的方法,其中蛋白质在细胞培养过程中用稳定同位素进行标记。该技术的一个主要缺点是标记氨基酸的代谢转化,这可能会阻碍准确的定量。这种现象的一个典型例子是精氨酸产生标记的脯氨酸,已知在许多生物模型中都会发生这种情况。我们提出了一种新的方法来识别和定量代谢转化,并评估 SILAC 实验中的标记效率。在这种方法中,标记的蛋白质在 LC-MS/MS 分析之前通过酸水解还原为氨基酸。由于它是在氨基酸水平上进行的,因此跟踪同位素标记的去向非常简单,可以独立地对每个氨基酸进行跟踪。在将该方法应用于哺乳动物细胞后,在含有重精氨酸和赖氨酸的条件下培养,能够准确地评估标记效率和氨基酸转化。结果仅发现脯氨酸的非预期标记大量发生,并且在不同细胞系之间变化很大。最后,增加生长培养基中的脯氨酸浓度可有效防止精氨酸转化,而不会产生任何明显的副作用。