代谢组学 2023 研讨会报告:基于 LC-MS 的非靶向代谢组学最佳质量保证/质量控制实践的共识。

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Metabolomics Pub Date : 2024-07-09 DOI:10.1007/s11306-024-02135-w
Jonathan D Mosley, Warwick B Dunn, Julia Kuligowski, Matthew R Lewis, María Eugenia Monge, Candice Ulmer Holland, Dajana Vuckovic, Krista A Zanetti, Tracey B Schock
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引用次数: 0

摘要

简介:在 2023 年代谢组学大会期间,代谢组学质量保证和质量控制联盟(mQACC)举办了一次基于 LC-MS 的非靶向代谢组学质量保证和质量控制研讨会:最佳实践工作组传播了社区论坛的最新发现,并讨论了将纳入活指导文件的各个方面:方法:发言的重点是参考资料、数据质量审查、代谢物鉴定/注释和质量保证:结果:现场投票结果和后续讨论为质量保证/质量控制实践提供了广泛的国际视角:从该系列研讨会中收集到的社区意见正被用于制定活指导文件,该文件是为代谢组学研究人员提供的不断发展的质量保证/质量控制最佳实践资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Metabolomics 2023 workshop report: moving toward consensus on best QA/QC practices in LC-MS-based untargeted metabolomics.

Introduction: During the Metabolomics 2023 conference, the Metabolomics Quality Assurance and Quality Control Consortium (mQACC) presented a QA/QC workshop for LC-MS-based untargeted metabolomics.

Objectives: The Best Practices Working Group disseminated recent findings from community forums and discussed aspects to include in a living guidance document.

Methods: Presentations focused on reference materials, data quality review, metabolite identification/annotation and quality assurance.

Results: Live polling results and follow-up discussions offered a broad international perspective on QA/QC practices.

Conclusions: Community input gathered from this workshop series is being used to shape the living guidance document, a continually evolving QA/QC best practices resource for metabolomics researchers.

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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
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.
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