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Multidimensional Protein Identification Technology-Selected Reaction Monitoring Improving Detection and Quantification for Protein Biomarker Studies

机译:多维蛋白质鉴定技术选择的反应监测可改善蛋白质生物标志物研究的检测和定量

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摘要

The targeted analysis of proteins in complex biological samples is best achieved using selected reaction monitoring (SRM). To maximize the sensitivity of this approach, sample fractionation or enrichment is still required, particularly to detect less abundant proteins in clinically relevant biofluids. Here, we report the development of multidimensional protein identification technology (MudPIT)-SRM, taking advantage of the robust online strong cation exchange chromatography for tryptic peptide fractionation and combining it with the multiplexed, quantitative attributes of SRM. The classical MudPIT method has been modified with an in-line strategy to introduce reference peptides onto the analytical column to enable quantitation at each salt step. Applying the MudPIT-SRM approach to profile abundant plasma proteins, we demonstrated mean increases in peak areas of almost 90percent compared to conventional SRM. MudPIT-SRM analyses of low abundant proteins present in human wound fluid exudates similarly demonstrated increased peak areas and enabled the detection of proteins which were below the lower limit of detection when analyzed by conventional SRM. The MudPIT-SRM method is relatively facile to conduct and offers performance advantages to enhance sensitivity for biomarker studies.
机译:使用选定的反应监测(SRM)可以最好地实现复杂生物样品中蛋白质的目标分析。为了最大程度地提高这种方法的灵敏度,仍然需要对样品进行分级分离或富集,特别是要检测临床相关生物流体中含量较低的蛋白质。在这里,我们报告多维蛋白质鉴定技术(MudPIT)-SRM的发展,利用强大的在线强阳离子交换色谱对胰蛋白酶肽进行分馏,并将其与SRM的多重定量属性结合起来。经典的MudPIT方法已经通过在线策略进行了改进,可以将参考肽引入分析柱,从而可以在每个盐步骤进行定量。应用MudPIT-SRM方法分析丰富的血浆蛋白,我们证明与传统SRM相比,峰面积平均增加了近90%。 MudPIT-SRM分析人类伤口液渗出液中低丰度蛋白质的方法相似地显示出增加的峰面积,并使得能够检测常规SRM分析时低于检测下限的蛋白质。 MudPIT-SRM方法相对易于实施,并具有性能优势,可增强生物标志物研究的敏感性。

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