Imperial College London
Alternate

Dr Matthew R. Lewis

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Honorary Senior Research Officer
 
 
 
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Contact

 

matthew.lewis

 
 
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Location

 

660Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Lippa:2022:10.1007/s11306-021-01848-6,
author = {Lippa, KA and Aristizabal-Henao, JJ and Beger, RD and Bowden, JA and Broeckling, C and Beecher, C and Clay, Davis W and Dunn, WB and Flores, R and Goodacre, R and Gouveia, GJ and Harms, AC and Hartung, T and Jones, CM and Lewis, MR and Ntai, I and Percy, AJ and Raftery, D and Schock, TB and Sun, J and Theodoridis, G and Tayyari, F and Torta, F and Ulmer, CZ and Wilson, I and Ubhi, BK},
doi = {10.1007/s11306-021-01848-6},
journal = {Metabolomics},
title = {Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC)},
url = {http://dx.doi.org/10.1007/s11306-021-01848-6},
volume = {18},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - IntroductionThe 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.ObjectivesThis 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.ResultsThe 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.ConclusionsThe 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.
AU  - Lippa,KA
AU  - Aristizabal-Henao,JJ
AU  - Beger,RD
AU  - Bowden,JA
AU  - Broeckling,C
AU  - Beecher,C
AU  - Clay,Davis W
AU  - Dunn,WB
AU  - Flores,R
AU  - Goodacre,R
AU  - Gouveia,GJ
AU  - Harms,AC
AU  - Hartung,T
AU  - Jones,CM
AU  - Lewis,MR
AU  - Ntai,I
AU  - Percy,AJ
AU  - Raftery,D
AU  - Schock,TB
AU  - Sun,J
AU  - Theodoridis,G
AU  - Tayyari,F
AU  - Torta,F
AU  - Ulmer,CZ
AU  - Wilson,I
AU  - Ubhi,BK
DO  - 10.1007/s11306-021-01848-6
PY  - 2022///
SN  - 1573-3882
TI  - Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC)
T2  - Metabolomics
UR  - http://dx.doi.org/10.1007/s11306-021-01848-6
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000779810800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://link.springer.com/article/10.1007/s11306-021-01848-6
UR  - http://hdl.handle.net/10044/1/97029
VL  - 18
ER  -
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