PANAMA 支持高灵敏度双纳米流 LC-MS 代谢组学和蛋白质组学分析。

IF 4.3 Q1 BIOCHEMICAL RESEARCH METHODS Cell Reports Methods Pub Date : 2024-07-15 Epub Date: 2024-07-02 DOI:10.1016/j.crmeth.2024.100803
Weiwei Lin, Fatemeh Mousavi, Benjamin C Blum, Christian F Heckendorf, Matthew Lawton, Noah Lampl, Ryan Hekman, Hongbo Guo, Mark McComb, Andrew Emili
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引用次数: 0

摘要

高灵敏度纳米流液相色谱(nLC)很少用于非靶向代谢组学,因为目前的样品制备技术无法有效防止纳米毛细管色谱柱性能下降。在此,我们介绍了一种基于 nLC 的串联质谱工作流程,该流程可实现代谢组学(包括脂质组学)和蛋白质组学的无缝联合分析和整合,而无需重复使用仪器。该工作流程基于一个强大的固相微萃取步骤,用于常规样品净化和生物活性分子富集。我们的方法被称为蛋白质组和纳米流代谢组分析(PANAMA),与现有的广泛使用的分析程序相比,它提高了化合物的分辨率和检测灵敏度,同时不影响覆盖深度。值得注意的是,PANAMA 可应用于多种样本,包括生物流体、细胞系和组织样本。它能生成高质量、信息丰富的代谢物-蛋白质数据集,而无需专门的仪器。
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PANAMA-enabled high-sensitivity dual nanoflow LC-MS metabolomics and proteomics analysis.

High-sensitivity nanoflow liquid chromatography (nLC) is seldom employed in untargeted metabolomics because current sample preparation techniques are inefficient at preventing nanocapillary column performance degradation. Here, we describe an nLC-based tandem mass spectrometry workflow that enables seamless joint analysis and integration of metabolomics (including lipidomics) and proteomics from the same samples without instrument duplication. This workflow is based on a robust solid-phase micro-extraction step for routine sample cleanup and bioactive molecule enrichment. Our method, termed proteomic and nanoflow metabolomic analysis (PANAMA), improves compound resolution and detection sensitivity without compromising the depth of coverage as compared with existing widely used analytical procedures. Notably, PANAMA can be applied to a broad array of specimens, including biofluids, cell lines, and tissue samples. It generates high-quality, information-rich metabolite-protein datasets while bypassing the need for specialized instrumentation.

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来源期刊
Cell Reports Methods
Cell Reports Methods Chemistry (General), Biochemistry, Genetics and Molecular Biology (General), Immunology and Microbiology (General)
CiteScore
3.80
自引率
0.00%
发文量
0
审稿时长
111 days
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