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Advances and challenges in liquid chromatography-mass spectrometry-based proteomics profiling for clinical applications.

机译:基于液相色谱-质谱的蛋白质组学分析在临床应用中的进展和挑战。

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摘要

Recent advances in proteomics technologies provide tremendous opportunities for biomarker-related clinical applications; however, the distinctive characteristics of human biofluids such as the high dynamic range in protein abundances and extreme complexity of the proteomes present tremendous challenges. In this review we summarize recent advances in LC-MS-based proteomics profiling and its applications in clinical proteomics as well as discuss the major challenges associated with implementing these technologies for more effective candidate biomarker discovery. Developments in immunoaffinity depletion and various fractionation approaches in combination with substantial improvements in LC-MS platforms have enabled the plasma proteome to be profiled with considerably greater dynamic range of coverage, allowing many proteins at low ng/ml levels to be confidently identified. Despite these significant advances and efforts, major challenges associated with the dynamic range of measurements and extent of proteome coverage, confidence of peptide/protein identifications, quantitation accuracy, analysis throughput, and the robustness of present instrumentation must be addressed before a proteomics profiling platform suitable for efficient clinical applications can be routinely implemented.
机译:蛋白质组学技术的最新进展为生物标志物相关的临床应用提供了巨大的机会。然而,人类生物流体的独特特征,例如蛋白质丰度的高动态范围和蛋白质组的极端复杂性,提出了巨大的挑战。在这篇综述中,我们总结了基于LC-MS的蛋白质组学分析及其在临床蛋白质组学中的应用的最新进展,并讨论了与实施这些技术以更有效地发现候选生物标志物相关的主要挑战。免疫亲和力耗竭和各种分级分离方法的发展以及LC-MS平台的实质性改进,使血浆蛋白组图谱具有更大的动态范围覆盖范围,可以可靠地鉴定出许多低ng / ml的蛋白质。尽管取得了这些重大进步和努力,但在蛋白质组学分析平台合适之前,必须解决与动态范围和蛋白质组覆盖范围,肽/蛋白质鉴定的可信度,定量准确度,分析通量以及当前仪器的坚固性相关的主要挑战。对于有效的临床应用,可以常规实施。

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