UCL-MetIsoLib:一个公共高分辨率串联质谱库,用于基于hilic的糖酵解、中心碳代谢和尿液、血浆、组织、细胞和患者来源的类器官的异构分辨分析

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Kristian Serafimov*, , , Maria Virginia Giolito, , , Sébastien Ibanez, , , Ophélie Renoult, , , Sarah Srhir, , , Paula Varon Rugeles, , , Florine Laloux-Morris, , , Cyril Corbet, , , Julien Pierrard, , , Marc Van den Eynde, , , Michael Lämmerhofer, , and , Olivier Feron, 
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引用次数: 0

摘要

我们介绍了UCL-MetIsoLib,这是一个可公开访问的高分辨率串联质谱(HRMS/MS)文库,用于基于hilic的、无离子配对的、异构分辨的代谢组学,使用生物惰性UHPLC系统和Acquity Premier BEH Amide柱。该平台集成了两种互补的方法,在不同的色谱条件下运行(pH 3.5, ESI+; pH 11.0, ESI -),实现了广泛的代谢覆盖。在文库结构中,共有334种代谢物被注释,硫醇衍生化纳入提取方案,以减轻氧化还原驱动的工件。代谢物鉴定由245个真实的参考标准支持,并根据MSI 1级和2级标准进行整理。验证遵循FDA关于五种生物基质(尿液、血浆、组织、细胞和患者来源的结肠直肠类器官)生物分析方法验证的指南。该方法具有较高的精密度(<;15%的日内/日间RSD)和回收率(在所有QC水平上85-115%)。为了证明生物学的适用性,UCL-MetIsoLib应用于比较健康和结直肠癌衍生类器官的案例研究。该方法能够对代谢物异构体进行可靠的注释,包括关键的糖酵解中间体,如DHAP和GA3P,以及糖酵解和戊糖磷酸途径的磷酸糖。在肿瘤类器官中观察到代谢改变,包括核苷酸衍生物的积累和中央碳代谢的变化。该库不断扩展,最新版本免费提供:https://github.com/kserafimov10/UCLMetIsoLib。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

UCL-MetIsoLib: A Public High-Resolution Tandem Mass Spectrometry Library for HILIC-Based Isomer-Resolved Profiling of Glycolysis, Central Carbon Metabolism, and Beyond in Urine, Plasma, Tissues, Cells, and Patient-Derived Organoids

UCL-MetIsoLib: A Public High-Resolution Tandem Mass Spectrometry Library for HILIC-Based Isomer-Resolved Profiling of Glycolysis, Central Carbon Metabolism, and Beyond in Urine, Plasma, Tissues, Cells, and Patient-Derived Organoids

UCL-MetIsoLib: A Public High-Resolution Tandem Mass Spectrometry Library for HILIC-Based Isomer-Resolved Profiling of Glycolysis, Central Carbon Metabolism, and Beyond in Urine, Plasma, Tissues, Cells, and Patient-Derived Organoids

We present UCL-MetIsoLib, a publicly accessible high-resolution tandem mass spectrometry (HRMS/MS) library developed for HILIC-based, ion-pairing-free, isomer-resolved metabolomics using a bioinert UHPLC system and the Acquity Premier BEH Amide column. The platform integrates two complementary methods operating under distinct chromatographic conditions (pH 3.5, ESI+; pH 11.0, ESI), enabling broad metabolic coverage. A total of 334 metabolites are annotated in the library structure, with thiol derivatization incorporated into the extraction protocol to mitigate redox-driven artifacts. Metabolite identification is supported by 245 authentic reference standards and curated according to MSI Level 1 and Level 2 criteria. Validation followed FDA guidelines for bioanalytical method validation across five biological matrices─urine, plasma, tissues, cells, and patient-derived colorectal organoids. The method demonstrated high precision (<15% RSD intra/inter-day) and recovery (85–115% across all QC levels). To demonstrate biological applicability, UCL-MetIsoLib was applied to a case study comparing healthy and colorectal cancer-derived organoids. The method enabled confident annotation of metabolite isomers, including key glycolytic intermediates such as DHAP and GA3P, as well as sugar phosphates from the glycolysis and pentose phosphate pathways. Metabolic alterations were observed in tumor organoids, including accumulation of nucleotide derivatives and shifts in central carbon metabolism. The library is constantly under expansion and is freely available in its latest version at: https://github.com/kserafimov10/UCLMetIsoLib.

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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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