Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC)
Katrice A Lippa
1
,
Juan J. Aristizabal Henao
2, 3
,
Richard D Beger
4
,
John A Bowden
2
,
Corey Broeckling
5
,
Chris Beecher
6
,
W Clay Davis
7
,
Warwick B Dunn
8
,
Roberto Flores
9
,
Royston Goodacre
10
,
Goncalo J Gouveia
11
,
Amy C. Harms
12
,
Thomas Hartung
13
,
Christina M Jones
1
,
Matthew R. Lewis
14
,
Ioanna Ntai
15
,
Andrew J Percy
16
,
Dan Raftery
17
,
Tracey B Schock
7
,
Jinchun Sun
4
,
Georgios Theodoridis
18
,
Fariba Tayyari
19
,
Federico Torta
20
,
Candice Z Ulmer
21
,
Ian Wilson
22
,
Baljit K Ubhi
23
1
3
BERG LLC, Framingham, USA
|
6
IROA Technologies, Chapel Hill, USA
|
7
9
Division of Program Coordination, Planning and Strategic Initiatives, Office of Nutrition Research, Office of the Director, National Institutes of Health (NIH), Bethesda, USA
|
15
Thermo Fisher Scientific, San Jose, USA
|
16
Cambridge Isotope Laboratories, Inc., Tewksbury, USA
|
23
MOBILion Systems Inc., Chadds Ford, USA
|
Publication type: Journal Article
Publication date: 2022-04-09
scimago Q2
wos Q2
SJR: 0.835
CiteScore: 5.5
Impact factor: 3.3
ISSN: 15733882, 15733890
PubMed ID:
35397018
Biochemistry
Clinical Biochemistry
Endocrinology, Diabetes and Metabolism
Abstract
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. 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. 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. 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.
Found
Nothing found, try to update filter.
Found
Nothing found, try to update filter.
Top-30
Journals
|
1
2
3
4
5
6
7
8
|
|
|
Metabolomics
8 publications, 8.6%
|
|
|
Analytical Chemistry
6 publications, 6.45%
|
|
|
TrAC - Trends in Analytical Chemistry
5 publications, 5.38%
|
|
|
Metabolites
4 publications, 4.3%
|
|
|
International Journal of Molecular Sciences
2 publications, 2.15%
|
|
|
Analytical and Bioanalytical Chemistry
2 publications, 2.15%
|
|
|
Current Opinion in Chemical Biology
2 publications, 2.15%
|
|
|
Biomolecules
2 publications, 2.15%
|
|
|
Clinical Chemistry and Laboratory Medicine
2 publications, 2.15%
|
|
|
Analytica Chimica Acta
2 publications, 2.15%
|
|
|
Genome Biology
2 publications, 2.15%
|
|
|
Environmental Science & Technology
2 publications, 2.15%
|
|
|
Rapid Communications in Mass Spectrometry
2 publications, 2.15%
|
|
|
Biomedical Chromatography
2 publications, 2.15%
|
|
|
Methods in Molecular Biology
2 publications, 2.15%
|
|
|
Frontiers in Analytical Science
1 publication, 1.08%
|
|
|
Frontiers in Genetics
1 publication, 1.08%
|
|
|
Journal of Investigative Dermatology
1 publication, 1.08%
|
|
|
Journal of Ethnopharmacology
1 publication, 1.08%
|
|
|
Biochemical Journal
1 publication, 1.08%
|
|
|
Biomarker Research
1 publication, 1.08%
|
|
|
Frontiers in Endocrinology
1 publication, 1.08%
|
|
|
Advances in Food and Nutrition Research
1 publication, 1.08%
|
|
|
Journal of Proteome Research
1 publication, 1.08%
|
|
|
Journal of Internal Medicine
1 publication, 1.08%
|
|
|
Journal of Chromatography A
1 publication, 1.08%
|
|
|
BMC Bioinformatics
1 publication, 1.08%
|
|
|
Turkish Journal of Biochemistry
1 publication, 1.08%
|
|
|
Frontiers in Oncology
1 publication, 1.08%
|
|
|
1
2
3
4
5
6
7
8
|
Publishers
|
5
10
15
20
25
30
|
|
|
Springer Nature
26 publications, 27.96%
|
|
|
Elsevier
25 publications, 26.88%
|
|
|
MDPI
10 publications, 10.75%
|
|
|
American Chemical Society (ACS)
9 publications, 9.68%
|
|
|
Wiley
7 publications, 7.53%
|
|
|
Frontiers Media S.A.
6 publications, 6.45%
|
|
|
Walter de Gruyter
3 publications, 3.23%
|
|
|
Cold Spring Harbor Laboratory
2 publications, 2.15%
|
|
|
Oxford University Press
2 publications, 2.15%
|
|
|
Portland Press
1 publication, 1.08%
|
|
|
Taylor & Francis
1 publication, 1.08%
|
|
|
Bentham Science Publishers Ltd.
1 publication, 1.08%
|
|
|
5
10
15
20
25
30
|
- We do not take into account publications without a DOI.
- Statistics recalculated weekly.
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
93
Total citations:
93
Citations from 2024:
61
(65.59%)
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
Lippa K. A. et al. Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC) // Metabolomics. 2022. Vol. 18. No. 4. 24
GOST all authors (up to 50)
Copy
Lippa K. A., Aristizabal Henao J. J., Beger R. D., Bowden J. A., Broeckling C., Beecher C., Clay Davis W., Dunn W. B., Flores R., Goodacre R., Gouveia G. J., Harms A. C., Hartung T., Jones C. M., Lewis M. R., Ntai I., Percy A. J., Raftery D., Schock T. B., Sun J., Theodoridis G., Tayyari F., Torta F., Ulmer C. Z., Wilson I., Ubhi B. K. Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC) // Metabolomics. 2022. Vol. 18. No. 4. 24
Cite this
RIS
Copy
TY - JOUR
DO - 10.1007/s11306-021-01848-6
UR - https://doi.org/10.1007/s11306-021-01848-6
TI - Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC)
T2 - Metabolomics
AU - Lippa, Katrice A
AU - Aristizabal Henao, Juan J.
AU - Beger, Richard D
AU - Bowden, John A
AU - Broeckling, Corey
AU - Beecher, Chris
AU - Clay Davis, W
AU - Dunn, Warwick B
AU - Flores, Roberto
AU - Goodacre, Royston
AU - Gouveia, Goncalo J
AU - Harms, Amy C.
AU - Hartung, Thomas
AU - Jones, Christina M
AU - Lewis, Matthew R.
AU - Ntai, Ioanna
AU - Percy, Andrew J
AU - Raftery, Dan
AU - Schock, Tracey B
AU - Sun, Jinchun
AU - Theodoridis, Georgios
AU - Tayyari, Fariba
AU - Torta, Federico
AU - Ulmer, Candice Z
AU - Wilson, Ian
AU - Ubhi, Baljit K
PY - 2022
DA - 2022/04/09
PB - Springer Nature
IS - 4
VL - 18
PMID - 35397018
SN - 1573-3882
SN - 1573-3890
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2022_Lippa,
author = {Katrice A Lippa and Juan J. Aristizabal Henao and Richard D Beger and John A Bowden and Corey Broeckling and Chris Beecher and W Clay Davis and Warwick B Dunn and Roberto Flores and Royston Goodacre and Goncalo J Gouveia and Amy C. Harms and Thomas Hartung and Christina M Jones and Matthew R. Lewis and Ioanna Ntai and Andrew J Percy and Dan Raftery and Tracey B Schock and Jinchun Sun and Georgios Theodoridis and Fariba Tayyari and Federico Torta and Candice Z Ulmer and Ian Wilson and Baljit K Ubhi},
title = {Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC)},
journal = {Metabolomics},
year = {2022},
volume = {18},
publisher = {Springer Nature},
month = {apr},
url = {https://doi.org/10.1007/s11306-021-01848-6},
number = {4},
pages = {24},
doi = {10.1007/s11306-021-01848-6}
}