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用于天然蛋白质组学的碰撞截面:挑战与机遇。

Collision Cross Sections for Native Proteomics: Challenges and Opportunities.

机构信息

Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States.

出版信息

J Proteome Res. 2022 Jan 7;21(1):2-8. doi: 10.1021/acs.jproteome.1c00686. Epub 2021 Nov 30.

Abstract

Recent advancements place a comprehensive catalog of protein structure, oligomeric state, sequence, and modification status tentatively within reach, thus providing an unprecedented roadmap to therapies for many human diseases. To achieve this goal, revolutionary technologies capable of bridging key gaps in our ability to simultaneously measure protein composition and structure must be developed. Much of the current progress in this area has been catalyzed by mass spectrometry (MS) tools, which have become an indispensable resource for interrogating the structural proteome. For example, methods associated with native proteomics seek to comprehensively capture and quantify the endogenous assembly states for all proteins within an organism. Such technologies have often been partnered with ion mobility (IM) separation, from which collision cross section (CCS) information can be rapidly extracted to provide protein size information. IM technologies are also being developed that utilize CCS values to enhance the confidence of protein identification workflows derived from liquid chromatography-IM-MS analyses of enzymatically produced peptide mixtures. Such parallel advancements in technology beg the question: can CCS values prove similarly useful for the identification of intact proteins and their complexes in native proteomics? In this perspective, I examine current evidence and technology trends to explore the promise and limitations of such CCS information for the comprehensive analysis of multiprotein complexes from cellular mixtures.

摘要

最近的进展使我们可以初步获得蛋白质结构、寡聚状态、序列和修饰状态的综合目录,从而为许多人类疾病的治疗提供了前所未有的路线图。为了实现这一目标,必须开发能够弥合我们同时测量蛋白质组成和结构的能力方面的关键差距的革命性技术。该领域的大部分当前进展都得益于质谱 (MS) 工具,这些工具已成为研究结构蛋白质组不可或缺的资源。例如,与天然蛋白质组学相关的方法旨在全面捕获和定量生物体中所有蛋白质的内源性组装状态。此类技术通常与离子淌度 (IM) 分离相结合,从中可以快速提取碰撞截面 (CCS) 信息,以提供蛋白质大小信息。还开发了利用 CCS 值来增强源自酶促产生的肽混合物的液相色谱-IM-MS 分析的蛋白质鉴定工作流程的置信度的 IM 技术。这些技术的平行进步提出了一个问题:CCS 值是否可以证明对天然蛋白质组学中完整蛋白质及其复合物的鉴定同样有用?在这个观点中,我检查了当前的证据和技术趋势,以探索此类 CCS 信息用于全面分析细胞混合物中的多蛋白复合物的潜力和局限性。

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