Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC-MS based untargeted metabolomics practitioners.
LC-MS
Metabolomics quality assurance and quality control consortium (mQACC)
Quality assurance
Quality control
Untargeted metabolomics
Journal
Metabolomics : Official journal of the Metabolomic Society
ISSN: 1573-3890
Titre abrégé: Metabolomics
Pays: United States
ID NLM: 101274889
Informations de publication
Date de publication:
12 10 2020
12 10 2020
Historique:
received:
20
07
2020
accepted:
20
09
2020
entrez:
12
10
2020
pubmed:
13
10
2020
medline:
3
8
2021
Statut:
epublish
Résumé
The metabolomics quality assurance and quality control consortium (mQACC) evolved from the recognized need for a community-wide consensus on improving and systematizing quality assurance (QA) and quality control (QC) practices for untargeted metabolomics. In this work, we sought to identify and share the common and divergent QA and QC practices amongst mQACC members and collaborators who use liquid chromatography-mass spectrometry (LC-MS) in untargeted metabolomics. All authors voluntarily participated in this collaborative research project by providing the details of and insights into the QA and QC practices used in their laboratories. This sharing was enabled via a six-page questionnaire composed of over 120 questions and comment fields which was developed as part of this work and has proved the basis for ongoing mQACC outreach. For QA, many laboratories reported documenting maintenance, calibration and tuning (82%); having established data storage and archival processes (71%); depositing data in public repositories (55%); having standard operating procedures (SOPs) in place for all laboratory processes (68%) and training staff on laboratory processes (55%). For QC, universal practices included using system suitability procedures (100%) and using a robust system of identification (Metabolomics Standards Initiative level 1 identification standards) for at least some of the detected compounds. Most laboratories used QC samples (>86%); used internal standards (91%); used a designated analytical acquisition template with randomized experimental samples (91%); and manually reviewed peak integration following data acquisition (86%). A minority of laboratories included technical replicates of experimental samples in their workflows (36%). Although the 23 contributors were researchers with diverse and international backgrounds from academia, industry and government, they are not necessarily representative of the worldwide pool of practitioners due to the recruitment method for participants and its voluntary nature. However, both questionnaire and the findings presented here have already informed and led other data gathering efforts by mQACC at conferences and other outreach activities and will continue to evolve in order to guide discussions for recommendations of best practices within the community and to establish internationally agreed upon reporting standards. We very much welcome further feedback from readers of this article.
Identifiants
pubmed: 33044703
doi: 10.1007/s11306-020-01728-5
pii: 10.1007/s11306-020-01728-5
pmc: PMC7641040
mid: NIHMS1639360
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
113Subventions
Organisme : Medical Research Council
ID : MR/P01836X/1
Pays : United Kingdom
Organisme : NIDDK NIH HHS
ID : R01 DK104998
Pays : United States
Organisme : Medical Research Council
ID : MR/P011705/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S019669/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M009157/1
Pays : United Kingdom
Organisme : Intramural EPA
ID : EPA999999
Pays : United States
Organisme : Medical Research Council
ID : MC_UP_A090_1006
Pays : United Kingdom
Organisme : NCI NIH HHS
ID : R00 CA218694
Pays : United States
Organisme : Medical Research Council
ID : MC_PC_13030
Pays : United Kingdom
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