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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/138616
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
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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 http://purl.org/coar/resource_type/c_6501 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 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1007/s11306-020-01728-5 info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs11306-020-01728-5 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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12.993085 |