Multidimensional separations in top–down proteomics

IF 4.1 Q2 CHEMISTRY, ANALYTICAL
Yanting Guo, Kellye A. Cupp-Sutton, Zhitao Zhao, Samin Anjum, Si Wu
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Abstract

Top–down proteomics (TDP) identifies, quantifies, and characterises proteins at the intact proteoform level in complex biological samples to understand proteoform function and cellular mechanisms. However, analysing complex biological samples using TDP is still challenging due to high sample complexity and wide dynamic range. High-resolution separation methods are often applied prior to mass spectrometry (MS) analysis to decrease sample complexity and increase proteomics throughput. These separation methods, however, may not be efficient enough to characterise low abundance intact proteoforms in complex samples. As such, multidimensional separation techniques (combination of two or more separation methods with high orthogonality) have been developed and applied that demonstrate improved separation resolution and more comprehensive identification in TDP. A suite of multidimensional separation methods that couple various types of liquid chromatography (LC), capillary electrophoresis (CE), and/or gel electrophoresis-based separation approaches have been developed and applied in TDP to analyse complex biological samples. Here, we reviewed multidimensional separation strategies employed for TDP, summarised current applications, and discussed the gaps that may be addressed in the future.

Abstract Image

自顶向下蛋白质组学中的多维分离
自顶向下蛋白质组学(TDP)在复杂的生物样品中鉴定、量化和表征完整的蛋白质,以了解蛋白质的功能和细胞机制。然而,由于样品复杂性高,动态范围宽,使用TDP分析复杂生物样品仍然具有挑战性。高分辨率分离方法通常应用于质谱(MS)分析之前,以降低样品复杂性和提高蛋白质组学通量。然而,这些分离方法可能不足以有效地表征复杂样品中低丰度的完整蛋白质形态。因此,多维分离技术(高正交性的两种或两种以上分离方法的组合)已经开发和应用,证明了在TDP中提高了分离分辨率和更全面的识别。一套多维分离方法,结合各种类型的液相色谱(LC),毛细管电泳(CE),和/或凝胶电泳为基础的分离方法已经开发和应用于TDP分析复杂的生物样品。在这里,我们回顾了用于TDP的多维分离策略,总结了当前的应用,并讨论了未来可能解决的差距。
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CiteScore
4.60
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