基于质谱的心脏微组织代谢组和脂质组表征。

IF 3.5 3区医学 Q2 ENDOCRINOLOGY & METABOLISM

Metabolomics Pub Date : 2025-04-21 DOI:10.1007/s11306-025-02252-0

Tara J Bowen, Andrew R Hall, Andrew D Southam, Ossama Edbali, Ralf J M Weber, Amanda Wilson, Amy Pointon, Mark R Viant

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引用次数: 0

摘要

使用大型、非样本特异性代谢物参考文库通常会导致非靶向代谢组学中假阳性注释的高比例。目的：本研究旨在测量和建立心脏显微组织中存在的极性代谢物和脂质文库。结果：通过与四个谱库和保留时间库的比较，对心脏组织细胞内提取物的非靶向超高效液相色谱耦合质谱测量结果进行了注释。这些注释结合起来创建了一个包含313种极性代谢物和1004种脂质的文库。结论：该图书馆将有助于在基于质谱的心脏组织非靶向代谢组学中提供更高可信度的代谢物注释。

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Mass spectrometry-based characterisation of the cardiac microtissue metabolome and lipidome.

Introduction: The use of large, non-sample specific metabolite reference libraries often results in high proportions of false positive annotations in untargeted metabolomics.

Objective: This study aimed to measure and curate a library of polar metabolites and lipids present in cardiac microtissues.

Results: Untargeted ultra-high performance liquid chromatography-coupled mass spectrometry measurements of cardiac microtissue intracellular extracts were annotated by comparison against four spectral databases and a retention time library. The annotations were combined to create a library of 313 polar metabolites and 1004 lipids.

Conclusions: The curated library will facilitate higher confidence metabolite annotation in mass spectrometry-based untargeted metabolomics of cardiac microtissues.

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来源期刊

Metabolomics 医学-内分泌学与代谢

CiteScore

6.60

自引率

2.80%

发文量

审稿时长

2 months

期刊介绍： Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.