使用 Orbitrap Astral 进行高通量蛋白质组学研究的拐点:生物流体、细胞和组织分析

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Nathan G. Hendricks, Santosh D. Bhosale, Angel J. Keoseyan, Josselin Ortiz, Aleksandr Stotland, Saeed Seyedmohammad, Chi D. L. Nguyen, Jonathan T. Bui, Annie Moradian*, Susan M. Mockus and Jennifer E. Van Eyk, 
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引用次数: 0

摘要

本技术说明介绍了 Orbitrap 和 Astral 质量分析仪新组合在生物流体、细胞和组织中的综合蛋白质组学工作流程。我们工作流程的核心是将自适应聚焦声学(AFA)技术整合到细胞和组织裂解中,确保以高通量方式进行稳健、可重复的样品制备。此外,我们还将与洗涤剂兼容的单锅固相增强样品制备(SP3)方法自动化,用于蛋白质消化。这些先进方法的协同作用为细胞和组织分析提供了一种稳健的高通量方法,这也是转化研究的一个重要考虑因素。这项工作传播了我们的平台工作流程,分析了其有效性,证明了结果的可重复性,并突出了这些技术在生物标记物发现和疾病病理学方面的潜力。对于细胞和组织(心、肝、肺和肠)蛋白质组学分析,采用数据独立采集模式,只需24分钟的活性梯度就能鉴定超过10,000个蛋白质。在 200 毫微克的 HeLa 消化液中注入多个梯度,平均 80% 以上的蛋白质的 CV 值小于 20%,45 分钟的运行可覆盖 90% 的表达蛋白质组。这种完整的工作流程可鉴定蛋白质组的大片区域,并与不同类型的样品兼容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An Inflection Point in High-Throughput Proteomics with Orbitrap Astral: Analysis of Biofluids, Cells, and Tissues

An Inflection Point in High-Throughput Proteomics with Orbitrap Astral: Analysis of Biofluids, Cells, and Tissues

This Technical Note presents a comprehensive proteomics workflow for the new combination of Orbitrap and Astral mass analyzers across biofluids, cells, and tissues. Central to our workflow is the integration of Adaptive Focused Acoustics (AFA) technology for cells and tissue lysis to ensure robust and reproducible sample preparation in a high-throughput manner. Furthermore, we automated the detergent-compatible single-pot, solid-phase-enhanced sample Preparation (SP3) method for protein digestion. The synergy of these advanced methodologies facilitates a robust and high-throughput approach for cell and tissue analysis, an important consideration in translational research. This work disseminates our platform workflow, analyzes the effectiveness, demonstrates the reproducibility of the results, and highlights the potential of these technologies in biomarker discovery and disease pathology. For cells and tissues (heart, liver, lung, and intestine) proteomics analysis by data-independent acquisition mode, identifications exceeding 10,000 proteins can be achieved with a 24 min active gradient. In 200 ng injections of HeLa digest across multiple gradients, an average of more than 80% of proteins have a CV less than 20%, and a 45 min run covers ∼90% of the expressed proteome. This complete workflow allows for large swaths of the proteome to be identified and is compatible with diverse sample types.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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