State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Talanta. 2018 Jul 1;184:404-410. doi: 10.1016/j.talanta.2018.03.037. Epub 2018 Mar 15.
A two-dimensional (2-D, weak anion exchange chromatography-gel electrophoresis, WAX-GE) separations coupling to inductively coupled plasma mass spectrometry (ICP-MS) strategy was developed for efficient tracking of metalloproteins. Samples were fractionized with the primary dimension (WAX) and the collected fractions were subsequently subjected to the secondary dimension (GE) and finally detected with ICP-MS. The metalloproteins of interest from the secondary dimension were online split and collected for further manipulation. The molecular weight of metalloprotein was calibrated with a home-made protein marker including six iodine-labelled proteins with molecular weights ranging from 14 kDa to 77 kDa. The developed 2-D system is of higher separation resolution as compared to one-dimensional (1-D) system. Metalloproteins in Escherichia coli were further examined for validation of the method preformation. Several known or unknown metal-associated proteins were identified, evidencing the feasibility of the proposed method. Taken together, we established a solid methodology for efficient separation and qualitative study of metalloproteomics, providing a new strategy for the metallomics research.
建立了二维(2-D,弱阴离子交换色谱-凝胶电泳,WAX-GE)分离与电感耦合等离子体质谱(ICP-MS)联用策略,用于有效追踪金属蛋白。样品经一维(WAX)进行分级,收集的级分随后进行二维(GE)分离,最后用 ICP-MS 检测。从二维分离出的目标金属蛋白进行在线分离和收集,以备进一步操作。金属蛋白的分子量用自制的蛋白标志物进行校准,该标志物包含 6 种碘标记蛋白,分子量范围从 14 kDa 到 77 kDa。与一维(1-D)系统相比,所开发的 2-D 系统具有更高的分离分辨率。为了验证方法的前期形成,进一步对大肠杆菌中的金属蛋白进行了检查。鉴定了几个已知或未知的金属相关蛋白,证明了所提出的方法的可行性。总之,我们建立了一种有效的金属蛋白组学分离和定性研究的可靠方法,为金属组学研究提供了新的策略。