使用实时搜索和TMTproC定量的胚胎发生的敏感和准确的蛋白质组分析。

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Molecular & Cellular Proteomics Pub Date : 2025-02-01 Epub Date: 2024-12-24 DOI:10.1016/j.mcpro.2024.100899
Alex N T Johnson, Jingjing Huang, Argit Marishta, Edward R Cruz, Andrea Mariossi, William D Barshop, Jesse D Canterbury, Rafael Melani, David Bergen, Vlad Zabrouskov, Michael S Levine, Eric Wieschaus, Graeme C McAlister, Martin Wühr
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引用次数: 0

摘要

多路复用蛋白质组学已经成为研究生物系统的有力工具。在MS2光谱中使用平衡肽偶联物(例如,TMTproC互补离子)进行定量可以避免多路复用蛋白质组学中固有的比例失真问题。然而,TMTproC定量扫描需要较长的Orbitrap瞬态和延长的离子注入时间,以获得足够的离子统计和光谱分辨率。实时搜索(RTS)算法通过选择性地通知前驱峰量化,证明了速度和灵敏度的提高。在此,我们将互补离子定量与实时搜索(TMTproC-RTS)相结合,以提高灵敏度,同时保持MS2水平定量蛋白质组学的准确性和精密度。我们通过对果蝇(果蝇)、海鞘(海鞘)和非洲爪蟾(蛙)胚胎发育过程中的蛋白质动力学进行量化,证明了这种方法的有效性。我们量化了每个生物体中的7.8k、8.6k和12.7k蛋白,与初始TMTproC分析相比,分别提高了12%、13%和14%。对于这三种生物,新获得的数据优于先前发表的数据集,并提供了胚胎发生过程中蛋白质动态的多样化,深入和准确的数据库,这将推进早期胚胎发生的进化比较研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensitive and Accurate Proteome Profiling of Embryogenesis Using Real-Time Search and TMTproC Quantification.

Multiplexed proteomics has become a powerful tool for investigating biological systems. Using balancer-peptide conjugates (e.g., TMTproC complementary ions) in the MS2 spectra for quantification circumvents the ratio distortion problem inherent in multiplexed proteomics. However, TMTproC quantification scans require long Orbitrap transients and extended ion injection times to achieve sufficient ion statistics and spectral resolution. Real-time search (RTS) algorithms have demonstrated increased speed and sensitivity by selectively informing precursor peak quantification. Here, we combine complementary ion quantification with RTS (TMTproC-RTS) to enhance sensitivity while maintaining accuracy and precision in quantitative proteomics at the MS2 level. We demonstrate the utility of this method by quantifying protein dynamics during the embryonic development of Drosophila melanogaster (fly), Ciona robusta (sea squirt), and Xenopus laevis (frog). We quantify 7.8k, 8.6k, and 12.7k proteins in each organism, which is an improvement of 12%, 13%, and 14%, respectively, compared with naive TMTproC analysis. For all three organisms, the newly acquired data outperform previously published datasets and provide a diverse, deep, and accurate database of protein dynamics during embryogenesis, which will advance the study of evolutionary comparison in early embryogenesis.

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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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