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Phosphoproteomics: Miles To Go Before It's Routine

机译:磷酸蛋白质组学:常规工作要走的里程

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Researchers see major technological advances but still have significant challenges to overcome. Not so long ago, the process for determining protein phosphorylation was a labor-intensive and serial process. Typically, a researcher would use ~(32)P-labeling coupled with 2D gel electrophoresis phosphopeptide mapping, autoradiography, band excision, and Edman sequencing. In addition to expending much time and effort, researchers had to work with radioactivity, and the method could not be multiplexed. Now in 2009, two complementary techniques for identification of phosphorylation sites, MS and microarrays, have provided significant increases in throughput. In discovery mode, researchers can identify thousands of phosphorylation sites with LC/MS~(n), and in profiling mode, researchers can detect thousands of phosphorylation events and predict the substrates of various protein kinases with planar, suspension, and reverse microarrays.
机译:研究人员看到了重大的技术进步,但是仍然要克服很多挑战。不久之前,确定蛋白质磷酸化的过程是一项劳动密集型的连续过程。通常,研究人员将使用〜(32)P标记结合2D凝胶电泳磷酸肽作图,放射自显影,谱带切除和Edman测序。除了花费大量时间和精力之外,研究人员还必须研究放射性,并且该方法无法进行多路复用。现在是2009年,用于鉴定磷酸化位点的两种互补技术,即MS和微阵列,已大大提高了通量。在发现模式下,研究人员可以使用LC / MS〜(n)识别数千个磷酸化位点,在概要分析模式下,研究人员可以利用平面,悬浮和反向微阵列检测数千个磷酸化事件并预测各种蛋白激酶的底物。

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