Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners

Autores
Evans, Anne M.; ODonovan, Claire; Playdon, Mary; Beecher, Chris; Beger, Richard D.; Bowden, John A.; Broadhurst, David; Clish, Clary B.; Dasari, Surendra; Dunn, Warwick B.; Griffin, Julian L.; Hartung, Thomas; Hsu, Ping Ching; Huan, Tao; Jans, Judith; Jones, Christina M.; Kachman, Maureen; Kleensang, Andre; Lewis, Matthew R.; Monge, Maria Eugenia; Mosley, Jonathan D.; Taylor, Eric; Tayyari, Fariba; Theodoridis, Georgios; Torta, Federico; Ubhi, Baljit K.; Vuckovic, Dajana
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Introduction: 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. Objectives: 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. Methods: 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. Results: 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%). Conclusions: 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.
Fil: Evans, Anne M.. No especifíca;
Fil: ODonovan, Claire. European Bioinformatics Institute; Reino Unido
Fil: Playdon, Mary. University of Utah; Estados Unidos
Fil: Beecher, Chris. No especifíca;
Fil: Beger, Richard D.. National Center For Toxicological Research; Estados Unidos
Fil: Bowden, John A.. University of Florida; Estados Unidos
Fil: Broadhurst, David. Edith Cowan University; Australia
Fil: Clish, Clary B.. Broad Institute; Estados Unidos
Fil: Dasari, Surendra. Mayo Clinic; Estados Unidos
Fil: Dunn, Warwick B.. University Of Birmingham; Reino Unido
Fil: Griffin, Julian L.. University of Cambridge; Estados Unidos. Imperial College London; Reino Unido
Fil: Hartung, Thomas. University Johns Hopkins; Estados Unidos
Fil: Hsu, Ping Ching. University of Arkansas for Medical Sciences; Estados Unidos
Fil: Huan, Tao. University of British Columbia; Canadá
Fil: Jans, Judith. University of Utrecht; Países Bajos
Fil: Jones, Christina M.. National Institute Of Standards And Technology; Estados Unidos
Fil: Kachman, Maureen. Michigan State University; Estados Unidos
Fil: Kleensang, Andre. University Johns Hopkins; Estados Unidos
Fil: Lewis, Matthew R.. Imperial College London; Reino Unido
Fil: Monge, Maria Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Bionanociencias "Elizabeth Jares Erijman"; Argentina
Fil: Mosley, Jonathan D.. Environmental Protection Agency; Estados Unidos
Fil: Taylor, Eric. University of Iowa; Estados Unidos
Fil: Tayyari, Fariba. University of Iowa; Estados Unidos
Fil: Theodoridis, Georgios. Aristotle University; Grecia
Fil: Torta, Federico. No especifíca;
Fil: Ubhi, Baljit K.. No especifíca;
Fil: Vuckovic, Dajana. Concordia University; Canadá
Materia
LC-MS
METABOLOMICS QUALITY ASSURANCE AND QUALITY CONTROL CONSORTIUM (MQACC)
QUALITY ASSURANCE
QUALITY CONTROL
UNTARGETED METABOLOMICS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/138616

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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitionersEvans, Anne M.ODonovan, ClairePlaydon, MaryBeecher, ChrisBeger, Richard D.Bowden, John A.Broadhurst, DavidClish, Clary B.Dasari, SurendraDunn, Warwick B.Griffin, Julian L.Hartung, ThomasHsu, Ping ChingHuan, TaoJans, JudithJones, Christina M.Kachman, MaureenKleensang, AndreLewis, Matthew R.Monge, Maria EugeniaMosley, Jonathan D.Taylor, EricTayyari, FaribaTheodoridis, GeorgiosTorta, FedericoUbhi, Baljit K.Vuckovic, DajanaLC-MSMETABOLOMICS QUALITY ASSURANCE AND QUALITY CONTROL CONSORTIUM (MQACC)QUALITY ASSURANCEQUALITY CONTROLUNTARGETED METABOLOMICShttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Introduction: 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. Objectives: 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. Methods: 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. Results: 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%). Conclusions: 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.Fil: Evans, Anne M.. No especifíca;Fil: ODonovan, Claire. European Bioinformatics Institute; Reino UnidoFil: Playdon, Mary. University of Utah; Estados UnidosFil: Beecher, Chris. No especifíca;Fil: Beger, Richard D.. National Center For Toxicological Research; Estados UnidosFil: Bowden, John A.. University of Florida; Estados UnidosFil: Broadhurst, David. Edith Cowan University; AustraliaFil: Clish, Clary B.. Broad Institute; Estados UnidosFil: Dasari, Surendra. Mayo Clinic; Estados UnidosFil: Dunn, Warwick B.. University Of Birmingham; Reino UnidoFil: Griffin, Julian L.. University of Cambridge; Estados Unidos. Imperial College London; Reino UnidoFil: Hartung, Thomas. University Johns Hopkins; Estados UnidosFil: Hsu, Ping Ching. University of Arkansas for Medical Sciences; Estados UnidosFil: Huan, Tao. University of British Columbia; CanadáFil: Jans, Judith. University of Utrecht; Países BajosFil: Jones, Christina M.. National Institute Of Standards And Technology; Estados UnidosFil: Kachman, Maureen. Michigan State University; Estados UnidosFil: Kleensang, Andre. University Johns Hopkins; Estados UnidosFil: Lewis, Matthew R.. Imperial College London; Reino UnidoFil: Monge, Maria Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Bionanociencias "Elizabeth Jares Erijman"; ArgentinaFil: Mosley, Jonathan D.. Environmental Protection Agency; Estados UnidosFil: Taylor, Eric. University of Iowa; Estados UnidosFil: Tayyari, Fariba. University of Iowa; Estados UnidosFil: Theodoridis, Georgios. Aristotle University; GreciaFil: Torta, Federico. No especifíca;Fil: Ubhi, Baljit K.. No especifíca;Fil: Vuckovic, Dajana. Concordia University; CanadáSpringer2020-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/138616Evans, Anne M.; ODonovan, Claire; Playdon, Mary; Beecher, Chris; Beger, Richard D.; et al.; Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners; Springer; Metabolomics; 16; 10; 10-2020; 1-161573-3882CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s11306-020-01728-5info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs11306-020-01728-5info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:06:38Zoai:ri.conicet.gov.ar:11336/138616instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:06:38.468CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners
title Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners
spellingShingle Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners
Evans, Anne M.
LC-MS
METABOLOMICS QUALITY ASSURANCE AND QUALITY CONTROL CONSORTIUM (MQACC)
QUALITY ASSURANCE
QUALITY CONTROL
UNTARGETED METABOLOMICS
title_short Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners
title_full Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners
title_fullStr Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners
title_full_unstemmed Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners
title_sort Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners
dc.creator.none.fl_str_mv Evans, Anne M.
ODonovan, Claire
Playdon, Mary
Beecher, Chris
Beger, Richard D.
Bowden, John A.
Broadhurst, David
Clish, Clary B.
Dasari, Surendra
Dunn, Warwick B.
Griffin, Julian L.
Hartung, Thomas
Hsu, Ping Ching
Huan, Tao
Jans, Judith
Jones, Christina M.
Kachman, Maureen
Kleensang, Andre
Lewis, Matthew R.
Monge, Maria Eugenia
Mosley, Jonathan D.
Taylor, Eric
Tayyari, Fariba
Theodoridis, Georgios
Torta, Federico
Ubhi, Baljit K.
Vuckovic, Dajana
author Evans, Anne M.
author_facet Evans, Anne M.
ODonovan, Claire
Playdon, Mary
Beecher, Chris
Beger, Richard D.
Bowden, John A.
Broadhurst, David
Clish, Clary B.
Dasari, Surendra
Dunn, Warwick B.
Griffin, Julian L.
Hartung, Thomas
Hsu, Ping Ching
Huan, Tao
Jans, Judith
Jones, Christina M.
Kachman, Maureen
Kleensang, Andre
Lewis, Matthew R.
Monge, Maria Eugenia
Mosley, Jonathan D.
Taylor, Eric
Tayyari, Fariba
Theodoridis, Georgios
Torta, Federico
Ubhi, Baljit K.
Vuckovic, Dajana
author_role author
author2 ODonovan, Claire
Playdon, Mary
Beecher, Chris
Beger, Richard D.
Bowden, John A.
Broadhurst, David
Clish, Clary B.
Dasari, Surendra
Dunn, Warwick B.
Griffin, Julian L.
Hartung, Thomas
Hsu, Ping Ching
Huan, Tao
Jans, Judith
Jones, Christina M.
Kachman, Maureen
Kleensang, Andre
Lewis, Matthew R.
Monge, Maria Eugenia
Mosley, Jonathan D.
Taylor, Eric
Tayyari, Fariba
Theodoridis, Georgios
Torta, Federico
Ubhi, Baljit K.
Vuckovic, Dajana
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv LC-MS
METABOLOMICS QUALITY ASSURANCE AND QUALITY CONTROL CONSORTIUM (MQACC)
QUALITY ASSURANCE
QUALITY CONTROL
UNTARGETED METABOLOMICS
topic LC-MS
METABOLOMICS QUALITY ASSURANCE AND QUALITY CONTROL CONSORTIUM (MQACC)
QUALITY ASSURANCE
QUALITY CONTROL
UNTARGETED METABOLOMICS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Introduction: 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. Objectives: 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. Methods: 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. Results: 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%). Conclusions: 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.
Fil: Evans, Anne M.. No especifíca;
Fil: ODonovan, Claire. European Bioinformatics Institute; Reino Unido
Fil: Playdon, Mary. University of Utah; Estados Unidos
Fil: Beecher, Chris. No especifíca;
Fil: Beger, Richard D.. National Center For Toxicological Research; Estados Unidos
Fil: Bowden, John A.. University of Florida; Estados Unidos
Fil: Broadhurst, David. Edith Cowan University; Australia
Fil: Clish, Clary B.. Broad Institute; Estados Unidos
Fil: Dasari, Surendra. Mayo Clinic; Estados Unidos
Fil: Dunn, Warwick B.. University Of Birmingham; Reino Unido
Fil: Griffin, Julian L.. University of Cambridge; Estados Unidos. Imperial College London; Reino Unido
Fil: Hartung, Thomas. University Johns Hopkins; Estados Unidos
Fil: Hsu, Ping Ching. University of Arkansas for Medical Sciences; Estados Unidos
Fil: Huan, Tao. University of British Columbia; Canadá
Fil: Jans, Judith. University of Utrecht; Países Bajos
Fil: Jones, Christina M.. National Institute Of Standards And Technology; Estados Unidos
Fil: Kachman, Maureen. Michigan State University; Estados Unidos
Fil: Kleensang, Andre. University Johns Hopkins; Estados Unidos
Fil: Lewis, Matthew R.. Imperial College London; Reino Unido
Fil: Monge, Maria Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Bionanociencias "Elizabeth Jares Erijman"; Argentina
Fil: Mosley, Jonathan D.. Environmental Protection Agency; Estados Unidos
Fil: Taylor, Eric. University of Iowa; Estados Unidos
Fil: Tayyari, Fariba. University of Iowa; Estados Unidos
Fil: Theodoridis, Georgios. Aristotle University; Grecia
Fil: Torta, Federico. No especifíca;
Fil: Ubhi, Baljit K.. No especifíca;
Fil: Vuckovic, Dajana. Concordia University; Canadá
description Introduction: 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. Objectives: 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. Methods: 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. Results: 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%). Conclusions: 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/138616
Evans, Anne M.; ODonovan, Claire; Playdon, Mary; Beecher, Chris; Beger, Richard D.; et al.; Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners; Springer; Metabolomics; 16; 10; 10-2020; 1-16
1573-3882
CONICET Digital
CONICET
url http://hdl.handle.net/11336/138616
identifier_str_mv Evans, Anne M.; ODonovan, Claire; Playdon, Mary; Beecher, Chris; Beger, Richard D.; et al.; Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners; Springer; Metabolomics; 16; 10; 10-2020; 1-16
1573-3882
CONICET Digital
CONICET
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language eng
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repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
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