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Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC)
INTRODUCTION: The metabolomics quality assurance and quality control consortium (mQACC) is enabling the identification, development, prioritization, and promotion of suitable reference materials (RMs) to be used in quality assurance (QA) and quality control (QC) for untargeted metabolomics research....
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994740/ https://www.ncbi.nlm.nih.gov/pubmed/35397018 http://dx.doi.org/10.1007/s11306-021-01848-6 |
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author | Lippa, Katrice A. Aristizabal-Henao, Juan J. Beger, Richard D. Bowden, John A. Broeckling, Corey Beecher, Chris Clay Davis, W. Dunn, Warwick B. Flores, Roberto Goodacre, Royston Gouveia, Gonçalo J. Harms, Amy C. Hartung, Thomas Jones, Christina M. Lewis, Matthew R. Ntai, Ioanna Percy, Andrew J. Raftery, Dan Schock, Tracey B. Sun, Jinchun Theodoridis, Georgios Tayyari, Fariba Torta, Federico Ulmer, Candice Z. Wilson, Ian Ubhi, Baljit K. |
author_facet | Lippa, Katrice A. Aristizabal-Henao, Juan J. Beger, Richard D. Bowden, John A. Broeckling, Corey Beecher, Chris Clay Davis, W. Dunn, Warwick B. Flores, Roberto Goodacre, Royston Gouveia, Gonçalo J. Harms, Amy C. Hartung, Thomas Jones, Christina M. Lewis, Matthew R. Ntai, Ioanna Percy, Andrew J. Raftery, Dan Schock, Tracey B. Sun, Jinchun Theodoridis, Georgios Tayyari, Fariba Torta, Federico Ulmer, Candice Z. Wilson, Ian Ubhi, Baljit K. |
author_sort | Lippa, Katrice A. |
collection | PubMed |
description | INTRODUCTION: The metabolomics quality assurance and quality control consortium (mQACC) is enabling the identification, development, prioritization, and promotion of suitable reference materials (RMs) to be used in quality assurance (QA) and quality control (QC) for untargeted metabolomics research. OBJECTIVES: This review aims to highlight current RMs, and methodologies used within untargeted metabolomics and lipidomics communities to ensure standardization of results obtained from data analysis, interpretation and cross-study, and cross-laboratory comparisons. The essence of the aims is also applicable to other ‘omics areas that generate high dimensional data. RESULTS: The potential for game-changing biochemical discoveries through mass spectrometry-based (MS) untargeted metabolomics and lipidomics are predicated on the evolution of more confident qualitative (and eventually quantitative) results from research laboratories. RMs are thus critical QC tools to be able to assure standardization, comparability, repeatability and reproducibility for untargeted data analysis, interpretation, to compare data within and across studies and across multiple laboratories. Standard operating procedures (SOPs) that promote, describe and exemplify the use of RMs will also improve QC for the metabolomics and lipidomics communities. CONCLUSIONS: The application of RMs described in this review may significantly improve data quality to support metabolomics and lipidomics research. The continued development and deployment of new RMs, together with interlaboratory studies and educational outreach and training, will further promote sound QA practices in the community. |
format | Online Article Text |
id | pubmed-8994740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-89947402022-04-22 Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC) Lippa, Katrice A. Aristizabal-Henao, Juan J. Beger, Richard D. Bowden, John A. Broeckling, Corey Beecher, Chris Clay Davis, W. Dunn, Warwick B. Flores, Roberto Goodacre, Royston Gouveia, Gonçalo J. Harms, Amy C. Hartung, Thomas Jones, Christina M. Lewis, Matthew R. Ntai, Ioanna Percy, Andrew J. Raftery, Dan Schock, Tracey B. Sun, Jinchun Theodoridis, Georgios Tayyari, Fariba Torta, Federico Ulmer, Candice Z. Wilson, Ian Ubhi, Baljit K. Metabolomics Review Article INTRODUCTION: The metabolomics quality assurance and quality control consortium (mQACC) is enabling the identification, development, prioritization, and promotion of suitable reference materials (RMs) to be used in quality assurance (QA) and quality control (QC) for untargeted metabolomics research. OBJECTIVES: This review aims to highlight current RMs, and methodologies used within untargeted metabolomics and lipidomics communities to ensure standardization of results obtained from data analysis, interpretation and cross-study, and cross-laboratory comparisons. The essence of the aims is also applicable to other ‘omics areas that generate high dimensional data. RESULTS: The potential for game-changing biochemical discoveries through mass spectrometry-based (MS) untargeted metabolomics and lipidomics are predicated on the evolution of more confident qualitative (and eventually quantitative) results from research laboratories. RMs are thus critical QC tools to be able to assure standardization, comparability, repeatability and reproducibility for untargeted data analysis, interpretation, to compare data within and across studies and across multiple laboratories. Standard operating procedures (SOPs) that promote, describe and exemplify the use of RMs will also improve QC for the metabolomics and lipidomics communities. CONCLUSIONS: The application of RMs described in this review may significantly improve data quality to support metabolomics and lipidomics research. The continued development and deployment of new RMs, together with interlaboratory studies and educational outreach and training, will further promote sound QA practices in the community. Springer US 2022-04-09 2022 /pmc/articles/PMC8994740/ /pubmed/35397018 http://dx.doi.org/10.1007/s11306-021-01848-6 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Lippa, Katrice A. Aristizabal-Henao, Juan J. Beger, Richard D. Bowden, John A. Broeckling, Corey Beecher, Chris Clay Davis, W. Dunn, Warwick B. Flores, Roberto Goodacre, Royston Gouveia, Gonçalo J. Harms, Amy C. Hartung, Thomas Jones, Christina M. Lewis, Matthew R. Ntai, Ioanna Percy, Andrew J. Raftery, Dan Schock, Tracey B. Sun, Jinchun Theodoridis, Georgios Tayyari, Fariba Torta, Federico Ulmer, Candice Z. Wilson, Ian Ubhi, Baljit K. Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC) |
title | Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC) |
title_full | Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC) |
title_fullStr | Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC) |
title_full_unstemmed | Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC) |
title_short | Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC) |
title_sort | reference materials for ms-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mqacc) |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994740/ https://www.ncbi.nlm.nih.gov/pubmed/35397018 http://dx.doi.org/10.1007/s11306-021-01848-6 |
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