TMT-Based Multiplexed (Chemo)Proteomics on the Orbitrap Astral Mass Spectrometer.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Yuchen He, Ka Yang, Shaoxian Li, Martin Zeller, Graeme C McAlister, Hamish I Stewart, Christian Hock, Eugen Damoc, Vlad Zabrouskov, Steven P Gygi, Joao A Paulo, Qing Yu
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Abstract

Ongoing advancements in instrumentation has established mass spectrometry (MS) as an essential tool in proteomics research and drug discovery. The newly released Asymmetric Track Lossless (Astral) analyzer represents a major step forward in MS instrumentation. Here, we evaluate the Orbitrap Astral mass spectrometer in the context of tandem mass tag (TMT)-based multiplexed proteomics and activity-based proteome profiling, highlighting its sensitivity boost relative to the Orbitrap Tribrid platform-50% at the peptide and 20% at the protein level. We compare TMT data-dependent acquisition and label-free data-independent acquisition on the same instrument, both of which quantify over 10,000 human proteins per sample within 1 h. TMT offers higher quantitative precision and data completeness, while data-independent acquisition is free of ratio compression and is thereby more accurate. Our results suggest that ratio compression is prevalent with the high-resolution MS2-based quantification on the Astral, while real-time search-based MS3 quantification on the Orbitrap Tribrid platform effectively restores accuracy. Additionally, we benchmark TMT-based activity-based proteome profiling by interrogating cysteine ligandability. The Astral measures over 30,000 cysteines in a single-shot experiment, a 54% increase relative to the Orbitrap Eclipse. We further leverage this remarkable sensitivity to profile the target engagement landscape of FDA-approved covalent drugs, including sotorasib and adagrasib. We herein provide a reference for the optimal use of the advanced MS platform.

基于轨道rap星质谱计的多路(化学)蛋白质组学研究。
随着仪器技术的不断进步,质谱分析已成为蛋白质组学研究和药物发现的重要工具。新发布的非对称轨道无损(Astral)分析仪代表了MS仪器的重要一步。在此,我们在基于串联质量标签(TMT)的多重蛋白质组学和基于活性的蛋白质组分析的背景下对Orbitrap Astral质谱进行了评估,突出了其相对于Orbitrap Tribrid平台的灵敏度提高——在肽水平上提高了50%,在蛋白质水平上提高了20%。我们在同一台仪器上比较了TMT数据依赖采集和无标签数据独立采集,两者都在1小时内对每个样品进行了超过10,000个人类蛋白质的定量。TMT提供了更高的定量精度和数据完整性,而数据独立采集没有比例压缩,因此更准确。我们的研究结果表明,在Astral上基于ms2的高分辨率量化中,比例压缩是普遍存在的,而在Orbitrap Tribrid平台上基于实时搜索的MS3量化有效地恢复了精度。此外,我们通过询问半胱氨酸配位性,对基于tmt的基于活性的蛋白质组分析进行基准测试。Astral在一次实验中测量了超过30,000个半胱氨酸,相对于Orbitrap Eclipse增加了54%。我们进一步利用这一显著的敏感性来分析fda批准的共价药物(包括sotorasib和adagrasib)的靶标接触情况。为优化利用先进的MS平台提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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