Perspective: use and reuse of NMR-based metabolomics data: what works and what remains challenging

期刊论文
发表日期：

2024年3月13日

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Goncalo Jorge Gouveia,
Thomas Head,
Leo L. Cheng,
Chaevien S. Clendinen,
John R. Cort,
Xiuxia Du,
Arthur S. Edison,
Candace C. Fleischer,
Jeffrey Hoch,
Nathaniel Mercaldo,
Wimal Pathmasiri,
Daniel Raftery,
Tracey B. Schock,
Lloyd W. Sumner,
Panteleimon G. Takis,
Valérie Copié,
Hamid R. Eghbalnia,
Robert Powers

摘要

Background

The National Cancer Institute issued a Request for Information (RFI; NOT-CA-23-007) in October 2022, soliciting input on using and reusing metabolomics data. This RFI aimed to gather input on best practices for metabolomics data storage, management, and use/reuse.

Aim of review

The nuclear magnetic resonance (NMR) Interest Group within the Metabolomics Association of North America (MANA) prepared a set of recommendations regarding the deposition, archiving, use, and reuse of NMR-based and, to a lesser extent, mass spectrometry (MS)-based metabolomics datasets. These recommendations were built on the collective experiences of metabolomics researchers within MANA who are generating, handling, and analyzing diverse metabolomics datasets spanning experimental (sample handling and preparation, NMR/MS metabolomics data acquisition, processing, and spectral analyses) to computational (automation of spectral processing, univariate and multivariate statistical analysis, metabolite prediction and identification, multi-omics data integration, etc.) studies.

Key scientific concepts of review

We provide a synopsis of our collective view regarding the use and reuse of metabolomics data and articulate several recommendations regarding best practices, which are aimed at encouraging researchers to strengthen efforts toward maximizing the utility of metabolomics data, multi-omics data integration, and enhancing the overall scientific impact of metabolomics studies.