Improved SILAC method for double labeling of bacterial proteome

细胞培养中氨基酸的稳定同位素标记 蛋白质组 定量蛋白质组学 氨基酸 蛋白质组学 生物化学 细菌 细菌细胞结构 赖氨酸 化学 生物 遗传学 基因
作者
Junlong Han,Shuhong Yi,Xinlu Zhao,Yun-Dan Zheng,Donghong Yang,Gaofei Du,Xiao-Yan Yang,Qing‐Yu He,Xia Sun
出处
期刊:Journal of Proteomics [Elsevier BV]
卷期号:194: 89-98 被引量:4
标识
DOI:10.1016/j.jprot.2018.12.011
摘要

Stable isotope labeling with amino acids in cell culture (SILAC) is a robust proteomics method with advantages such as reproducibility and easy handling. This method is popular for the analysis of mammalian cells. However, amino acid conversion in bacteria decreases the labeling efficiency and quantification accuracy, limiting the application of SILAC in bacterial proteomics to auxotrophic bacteria or to single labeling with lysine. In this study, we found that adding high concentrations of isotope-labeled (heavy) and natural (light) amino acids into SILAC minimal medium can efficiently inhibit the complicated amino acid conversions. This simple and straightforward strategy facilitated complete incorporation of amino acids into the bacterial proteome with good accuracy. High labeling efficiency can be achieved in different bacteria by slightly modifying the supplementation of amino acids in culture media, promoting the widespread application of SILAC technique in bacterial proteomics. Amino acid conversion in bacteria decreases labeling efficiency, limiting the application of Stable isotope labeling with amino acids in cell culture (SILAC) in bacterial proteomics to auxotrophic bacteria or single labeling with lysine. In this study, we found that high concentrations of isotope-labeled (heavy) and natural (light) amino acids facilitate full incorporation of amino acids into the bacterial proteome with good reproducibility. This improved double labeling SILAC technique using medium supplemented with high concentrations of amino acids is suitable for quantitative proteomics research on both gram-positive and -negative bacteria, facilitating the broad application of quantitative proteomics in bacterial studies.

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