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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-10-12

AUTHORS

Anne M. Evans, Claire O’Donovan, Mary Playdon, Chris Beecher, Richard D. Beger, John A. Bowden, David Broadhurst, Clary B. Clish, Surendra Dasari, Warwick B. Dunn, Julian L. Griffin, Thomas Hartung, Ping- Ching Hsu, Tao Huan, Judith Jans, Christina M. Jones, Maureen Kachman, Andre Kleensang, Matthew R. Lewis, María Eugenia Monge, Jonathan D. Mosley, Eric Taylor, Fariba Tayyari, Georgios Theodoridis, Federico Torta, Baljit K. Ubhi, Dajana Vuckovic,

ABSTRACT

IntroductionThe 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.ObjectivesIn 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.MethodsAll 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.ResultsFor 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%).ConclusionsAlthough 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. More... »

PAGES

113

References to SciGraph publications

  • 2018-05-18. Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies in METABOLOMICS
  • 2017-03-06. Quality assurance and quality control processes: summary of a metabolomics community questionnaire in METABOLOMICS
  • 2011-06-30. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry in NATURE PROTOCOLS
  • 2019-07-10. Use cases, best practice and reporting standards for metabolomics in regulatory toxicology in NATURE COMMUNICATIONS
  • 2019-01-03. Towards quality assurance and quality control in untargeted metabolomics studies in METABOLOMICS
  • 2019-06-27. Metabolic profiling in children with autism spectrum disorder with and without mental regression: preliminary results from a cross-sectional case–control study in METABOLOMICS
  • 2019-03-05. Assessing the causal association of glycine with risk of cardio-metabolic diseases in NATURE COMMUNICATIONS
  • 2014-05-11. An atlas of genetic influences on human blood metabolites in NATURE GENETICS
  • 2019-09-02. Blood metabolome predicts gut microbiome α-diversity in humans in NATURE BIOTECHNOLOGY
  • 2019-07-22. Potential roles of gut microbiome and metabolites in modulating ALS in mice in NATURE
  • 2019-03-08. Genome-wide association study in frontal fibrosing alopecia identifies four susceptibility loci including HLA-B*07:02 in NATURE COMMUNICATIONS
  • 2019-09-26. Rice bran supplementation modulates growth, microbiota and metabolome in weaning infants: a clinical trial in Nicaragua and Mali in SCIENTIFIC REPORTS
  • 2019-05-24. Association of breast and gut microbiota dysbiosis and the risk of breast cancer: a case-control clinical study in BMC CANCER
  • 2016-03-15. The FAIR Guiding Principles for scientific data management and stewardship in SCIENTIFIC DATA
  • 2007-09-12. Proposed minimum reporting standards for chemical analysis in METABOLOMICS
  • 2019-04-08. Exposure to disinfection byproducts and risk of type 2 diabetes: a nested case–control study in the HUNT and Lifelines cohorts in METABOLOMICS
  • 2014-07-25. Molecular phenotyping of a UK population: defining the human serum metabolome in METABOLOMICS
  • Journal

    TITLE

    Metabolomics

    ISSUE

    10

    VOLUME

    16

    Author Affiliations

  • Metabolon, Morrisville, NC, USA
  • European Molecular Biology Laboratory (EMBL), The European Bioinformatics Institute, Cambridgeshire, UK
  • University of Utah, Salt Lake City, Utah, USA
  • IROA Technologies, Chapel Hill, NC, USA
  • National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, USA
  • College of Veterinary Medicine, University of Florida, Gainesville, FL, USA
  • Centre for Integrative Metabolomics & Computational Biology, School of Science, Edith Cowan University, Joondalup, WA, Australia
  • Broad Institute, Cambridge, MA, USA
  • Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
  • School of Biosciences, Phenome Centre Birmingham and Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK
  • Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
  • Center for Alternatives To Animal Testing (CAAT), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
  • University of Arkansas for Medical Sciences, Little Rock, AR, USA
  • Department of Chemistry, University of British Columbia, Vancouver, Canada
  • University Medical Center Utrecht, Utrecht, Netherlands
  • Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
  • University of Michigan, Ann Arbor, MI, USA
  • National Phenome Centre, Imperial College London, London, UK
  • Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), C1425FQD, Ciudad de Buenos Aires, Argentina
  • Center for Environmental Measurement and Modeling, Environmental Protection Agency, Washington, DC, USA
  • University of Iowa, Iowa City, Iowa, USA
  • Department of Internal Medicine, Metabolomics Core, The University of Iowa, Iowa City, Iowa, USA
  • Aristotle University, Thessaloniki, Greece
  • Singapore Lipidomics Incubator, Department of Biochemistry, Life Sciences Institute and Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore
  • Sciex, Redwood, USA
  • Concordia University, Montreal, QC, Canada
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11306-020-01728-5

    DOI

    http://dx.doi.org/10.1007/s11306-020-01728-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1131624735

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/33044703


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Chemical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0301", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Analytical Chemistry", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromatography, Liquid", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Laboratories", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mass Spectrometry", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metabolomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Quality Control", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Research Design", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Surveys and Questionnaires", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Metabolon, Morrisville, NC, USA", 
              "id": "http://www.grid.ac/institutes/grid.429438.0", 
              "name": [
                "Metabolon, Morrisville, NC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Evans", 
            "givenName": "Anne M.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "European Molecular Biology Laboratory (EMBL), The European Bioinformatics Institute, Cambridgeshire, UK", 
              "id": "http://www.grid.ac/institutes/grid.225360.0", 
              "name": [
                "European Molecular Biology Laboratory (EMBL), The European Bioinformatics Institute, Cambridgeshire, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "O\u2019Donovan", 
            "givenName": "Claire", 
            "id": "sg:person.01017767203.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017767203.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Utah, Salt Lake City, Utah, USA", 
              "id": "http://www.grid.ac/institutes/grid.223827.e", 
              "name": [
                "University of Utah, Salt Lake City, Utah, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Playdon", 
            "givenName": "Mary", 
            "id": "sg:person.0616313311.67", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616313311.67"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "IROA Technologies, Chapel Hill, NC, USA", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "IROA Technologies, Chapel Hill, NC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Beecher", 
            "givenName": "Chris", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, USA", 
              "id": "http://www.grid.ac/institutes/grid.483504.e", 
              "name": [
                "National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Beger", 
            "givenName": "Richard D.", 
            "id": "sg:person.0717573147.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717573147.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Veterinary Medicine, University of Florida, Gainesville, FL, USA", 
              "id": "http://www.grid.ac/institutes/grid.15276.37", 
              "name": [
                "College of Veterinary Medicine, University of Florida, Gainesville, FL, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bowden", 
            "givenName": "John A.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre for Integrative Metabolomics & Computational Biology, School of Science, Edith Cowan University, Joondalup, WA, Australia", 
              "id": "http://www.grid.ac/institutes/grid.1038.a", 
              "name": [
                "Centre for Integrative Metabolomics & Computational Biology, School of Science, Edith Cowan University, Joondalup, WA, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Broadhurst", 
            "givenName": "David", 
            "id": "sg:person.01140423003.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140423003.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Broad Institute, Cambridge, MA, USA", 
              "id": "http://www.grid.ac/institutes/grid.66859.34", 
              "name": [
                "Broad Institute, Cambridge, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Clish", 
            "givenName": "Clary B.", 
            "id": "sg:person.0764632420.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764632420.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA", 
              "id": "http://www.grid.ac/institutes/grid.66875.3a", 
              "name": [
                "Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dasari", 
            "givenName": "Surendra", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Biosciences, Phenome Centre Birmingham and Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK", 
              "id": "http://www.grid.ac/institutes/grid.6572.6", 
              "name": [
                "School of Biosciences, Phenome Centre Birmingham and Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dunn", 
            "givenName": "Warwick B.", 
            "id": "sg:person.01042634342.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042634342.49"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK", 
              "id": "http://www.grid.ac/institutes/grid.7445.2", 
              "name": [
                "Department of Biochemistry, University of Cambridge, Cambridge, UK", 
                "Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Griffin", 
            "givenName": "Julian L.", 
            "id": "sg:person.012451221647.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012451221647.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Center for Alternatives To Animal Testing (CAAT), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.21107.35", 
              "name": [
                "Center for Alternatives To Animal Testing (CAAT), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hartung", 
            "givenName": "Thomas", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Arkansas for Medical Sciences, Little Rock, AR, USA", 
              "id": "http://www.grid.ac/institutes/grid.241054.6", 
              "name": [
                "University of Arkansas for Medical Sciences, Little Rock, AR, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hsu", 
            "givenName": "Ping- Ching", 
            "id": "sg:person.01317301136.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317301136.45"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Chemistry, University of British Columbia, Vancouver, Canada", 
              "id": "http://www.grid.ac/institutes/grid.17091.3e", 
              "name": [
                "Department of Chemistry, University of British Columbia, Vancouver, Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Huan", 
            "givenName": "Tao", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University Medical Center Utrecht, Utrecht, Netherlands", 
              "id": "http://www.grid.ac/institutes/grid.7692.a", 
              "name": [
                "University Medical Center Utrecht, Utrecht, Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jans", 
            "givenName": "Judith", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.507869.5", 
              "name": [
                "Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jones", 
            "givenName": "Christina M.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Michigan, Ann Arbor, MI, USA", 
              "id": "http://www.grid.ac/institutes/grid.214458.e", 
              "name": [
                "University of Michigan, Ann Arbor, MI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kachman", 
            "givenName": "Maureen", 
            "id": "sg:person.0742725535.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742725535.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Center for Alternatives To Animal Testing (CAAT), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.21107.35", 
              "name": [
                "Center for Alternatives To Animal Testing (CAAT), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kleensang", 
            "givenName": "Andre", 
            "id": "sg:person.01053762700.28", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01053762700.28"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Phenome Centre, Imperial College London, London, UK", 
              "id": "http://www.grid.ac/institutes/grid.7445.2", 
              "name": [
                "National Phenome Centre, Imperial College London, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lewis", 
            "givenName": "Matthew R.", 
            "id": "sg:person.01111765207.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01111765207.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Cient\u00edficas Y T\u00e9cnicas (CONICET), C1425FQD, Ciudad de Buenos Aires, Argentina", 
              "id": "http://www.grid.ac/institutes/grid.423606.5", 
              "name": [
                "Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Cient\u00edficas Y T\u00e9cnicas (CONICET), C1425FQD, Ciudad de Buenos Aires, Argentina"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Monge", 
            "givenName": "Mar\u00eda Eugenia", 
            "id": "sg:person.010002322074.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010002322074.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Center for Environmental Measurement and Modeling, Environmental Protection Agency, Washington, DC, USA", 
              "id": "http://www.grid.ac/institutes/grid.418698.a", 
              "name": [
                "Center for Environmental Measurement and Modeling, Environmental Protection Agency, Washington, DC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mosley", 
            "givenName": "Jonathan D.", 
            "id": "sg:person.0722520545.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722520545.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Iowa, Iowa City, Iowa, USA", 
              "id": "http://www.grid.ac/institutes/grid.214572.7", 
              "name": [
                "University of Iowa, Iowa City, Iowa, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Taylor", 
            "givenName": "Eric", 
            "id": "sg:person.01104454655.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104454655.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Internal Medicine, Metabolomics Core, The University of Iowa, Iowa City, Iowa, USA", 
              "id": "http://www.grid.ac/institutes/grid.214572.7", 
              "name": [
                "Department of Internal Medicine, Metabolomics Core, The University of Iowa, Iowa City, Iowa, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tayyari", 
            "givenName": "Fariba", 
            "id": "sg:person.011061432265.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011061432265.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Aristotle University, Thessaloniki, Greece", 
              "id": "http://www.grid.ac/institutes/grid.4793.9", 
              "name": [
                "Aristotle University, Thessaloniki, Greece"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Theodoridis", 
            "givenName": "Georgios", 
            "id": "sg:person.01210205047.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210205047.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Singapore Lipidomics Incubator, Department of Biochemistry, Life Sciences Institute and Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore", 
              "id": "http://www.grid.ac/institutes/grid.4280.e", 
              "name": [
                "Singapore Lipidomics Incubator, Department of Biochemistry, Life Sciences Institute and Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Torta", 
            "givenName": "Federico", 
            "id": "sg:person.0777530474.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777530474.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sciex, Redwood, USA", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Sciex, Redwood, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ubhi", 
            "givenName": "Baljit K.", 
            "id": "sg:person.0666367211.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666367211.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Concordia University, Montreal, QC, Canada", 
              "id": "http://www.grid.ac/institutes/grid.410319.e", 
              "name": [
                "Concordia University, Montreal, QC, Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vuckovic", 
            "givenName": "Dajana", 
            "id": "sg:person.0775211471.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775211471.27"
            ], 
            "type": "Person"
          }, 
          {}
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/s41467-019-08936-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1112543880", 
              "https://doi.org/10.1038/s41467-019-08936-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sdata.2016.18", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005603549", 
              "https://doi.org/10.1038/sdata.2016.18"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11306-019-1519-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1113301024", 
              "https://doi.org/10.1007/s11306-019-1519-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11306-018-1460-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111100723", 
              "https://doi.org/10.1007/s11306-018-1460-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-019-10900-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1117869802", 
              "https://doi.org/10.1038/s41467-019-10900-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12885-019-5660-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1115655065", 
              "https://doi.org/10.1186/s12885-019-5660-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11306-014-0707-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024965129", 
              "https://doi.org/10.1007/s11306-014-0707-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-019-50344-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1121264165", 
              "https://doi.org/10.1038/s41598-019-50344-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11306-019-1562-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1117606640", 
              "https://doi.org/10.1007/s11306-019-1562-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11306-007-0082-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023480149", 
              "https://doi.org/10.1007/s11306-007-0082-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11306-018-1367-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104089049", 
              "https://doi.org/10.1007/s11306-018-1367-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11306-017-1188-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084030993", 
              "https://doi.org/10.1007/s11306-017-1188-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41587-019-0233-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1120762863", 
              "https://doi.org/10.1038/s41587-019-0233-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-019-09117-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1112641448", 
              "https://doi.org/10.1038/s41467-019-09117-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-019-1443-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1118144215", 
              "https://doi.org/10.1038/s41586-019-1443-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2011.335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015396743", 
              "https://doi.org/10.1038/nprot.2011.335"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2982", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044995197", 
              "https://doi.org/10.1038/ng.2982"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2020-10-12", 
        "datePublishedReg": "2020-10-12", 
        "description": "IntroductionThe 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.ObjectivesIn 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\u2013MS) in untargeted metabolomics.MethodsAll 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.ResultsFor 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%).ConclusionsAlthough 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.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s11306-020-01728-5", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.7552492", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3864363", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6542332", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2785012", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3932693", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2468518", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6446046", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1036887", 
            "issn": [
              "1573-3882", 
              "1573-3890"
            ], 
            "name": "Metabolomics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "10", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "16"
          }
        ], 
        "keywords": [
          "liquid chromatography-mass spectrometry", 
          "chromatography-mass spectrometry", 
          "untargeted metabolomics", 
          "LC-MS", 
          "internal standard", 
          "QC samples", 
          "community-wide consensus", 
          "peak integration", 
          "spectrometry", 
          "experimental samples", 
          "compounds", 
          "quality control practices", 
          "metabolomics", 
          "laboratory process", 
          "template", 
          "samples", 
          "most laboratories", 
          "process", 
          "storage", 
          "work", 
          "tuning", 
          "data storage", 
          "nature", 
          "worldwide pool", 
          "laboratory", 
          "technical replicates", 
          "activity", 
          "method", 
          "QC", 
          "procedure", 
          "detail", 
          "insights", 
          "industry", 
          "basis", 
          "standards", 
          "order", 
          "identification", 
          "analysis", 
          "quality assurance", 
          "calibration", 
          "field", 
          "robust system", 
          "system", 
          "place", 
          "workflow", 
          "data", 
          "standard operating procedures", 
          "data acquisition", 
          "operating procedures", 
          "further feedback", 
          "contributor", 
          "academia", 
          "pool", 
          "efforts", 
          "QC practices", 
          "consortium", 
          "part", 
          "replicates", 
          "collaborative research project", 
          "assurance", 
          "researchers", 
          "readers", 
          "integration", 
          "discussion", 
          "need", 
          "collaborators", 
          "repository", 
          "article", 
          "universal practice", 
          "public repositories", 
          "findings", 
          "members", 
          "background", 
          "conference", 
          "acquisition", 
          "research project", 
          "questions", 
          "authors", 
          "community", 
          "maintenance", 
          "project", 
          "control practices", 
          "practice", 
          "best practices", 
          "recommendations", 
          "consensus", 
          "sharing", 
          "outreach activities", 
          "feedback", 
          "dissemination", 
          "ConclusionsAlthough", 
          "international background", 
          "voluntary nature", 
          "six-page questionnaire", 
          "archival processes", 
          "minority", 
          "government", 
          "practitioners", 
          "recruitment methods", 
          "reporting standards", 
          "comment fields", 
          "outreach", 
          "training staff", 
          "staff", 
          "participants", 
          "questionnaire", 
          "minority of laboratories", 
          "IntroductionThe metabolomics quality assurance", 
          "metabolomics quality assurance", 
          "quality control consortium", 
          "control consortium", 
          "divergent QA", 
          "MethodsAll authors", 
          "ongoing mQACC outreach", 
          "mQACC outreach", 
          "ResultsFor QA", 
          "system suitability procedures", 
          "suitability procedures", 
          "analytical acquisition template", 
          "acquisition template", 
          "randomized experimental samples", 
          "mQACC", 
          "untargeted metabolomics practitioners", 
          "metabolomics practitioners"
        ], 
        "name": "Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC\u2013MS based untargeted metabolomics practitioners", 
        "pagination": "113", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1131624735"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11306-020-01728-5"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "33044703"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11306-020-01728-5", 
          "https://app.dimensions.ai/details/publication/pub.1131624735"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:59", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_867.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s11306-020-01728-5"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11306-020-01728-5'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11306-020-01728-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11306-020-01728-5'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11306-020-01728-5'


     

    This table displays all metadata directly associated to this object as RDF triples.

    549 TRIPLES      22 PREDICATES      174 URIs      149 LITERALS      15 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11306-020-01728-5 schema:about N2e143c27ec794f43b357252b529fa000
    2 N4ac69b2db1c94e169e2dc10550abfdfe
    3 N9792ef2cda8744fab7287e9196d89cc9
    4 Na571eccc7347449d98266135a3aa2611
    5 Naf03ae096e5f4d24a0479e0864e2c371
    6 Nc3aef31a760f4af49884e284ac7b2a32
    7 Nd77b1fef001d402baa1f4e52b67888b3
    8 Nde1836797d744c13916adf9d9ae4dd9c
    9 anzsrc-for:03
    10 anzsrc-for:0301
    11 schema:author N2991ae1503b542359baf93e3beb875f5
    12 schema:citation sg:pub.10.1007/s11306-007-0082-2
    13 sg:pub.10.1007/s11306-014-0707-1
    14 sg:pub.10.1007/s11306-017-1188-9
    15 sg:pub.10.1007/s11306-018-1367-3
    16 sg:pub.10.1007/s11306-018-1460-7
    17 sg:pub.10.1007/s11306-019-1519-0
    18 sg:pub.10.1007/s11306-019-1562-x
    19 sg:pub.10.1038/ng.2982
    20 sg:pub.10.1038/nprot.2011.335
    21 sg:pub.10.1038/s41467-019-08936-1
    22 sg:pub.10.1038/s41467-019-09117-w
    23 sg:pub.10.1038/s41467-019-10900-y
    24 sg:pub.10.1038/s41586-019-1443-5
    25 sg:pub.10.1038/s41587-019-0233-9
    26 sg:pub.10.1038/s41598-019-50344-4
    27 sg:pub.10.1038/sdata.2016.18
    28 sg:pub.10.1186/s12885-019-5660-y
    29 schema:datePublished 2020-10-12
    30 schema:datePublishedReg 2020-10-12
    31 schema:description IntroductionThe 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.ObjectivesIn 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.MethodsAll 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.ResultsFor 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%).ConclusionsAlthough 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.
    32 schema:genre article
    33 schema:inLanguage en
    34 schema:isAccessibleForFree true
    35 schema:isPartOf Nb1078485f63542e6ac0e041a4fe3ba42
    36 Ne168fa43617f47039dad4a608c6b6010
    37 sg:journal.1036887
    38 schema:keywords ConclusionsAlthough
    39 IntroductionThe metabolomics quality assurance
    40 LC-MS
    41 MethodsAll authors
    42 QC
    43 QC practices
    44 QC samples
    45 ResultsFor QA
    46 academia
    47 acquisition
    48 acquisition template
    49 activity
    50 analysis
    51 analytical acquisition template
    52 archival processes
    53 article
    54 assurance
    55 authors
    56 background
    57 basis
    58 best practices
    59 calibration
    60 chromatography-mass spectrometry
    61 collaborative research project
    62 collaborators
    63 comment fields
    64 community
    65 community-wide consensus
    66 compounds
    67 conference
    68 consensus
    69 consortium
    70 contributor
    71 control consortium
    72 control practices
    73 data
    74 data acquisition
    75 data storage
    76 detail
    77 discussion
    78 dissemination
    79 divergent QA
    80 efforts
    81 experimental samples
    82 feedback
    83 field
    84 findings
    85 further feedback
    86 government
    87 identification
    88 industry
    89 insights
    90 integration
    91 internal standard
    92 international background
    93 laboratory
    94 laboratory process
    95 liquid chromatography-mass spectrometry
    96 mQACC
    97 mQACC outreach
    98 maintenance
    99 members
    100 metabolomics
    101 metabolomics practitioners
    102 metabolomics quality assurance
    103 method
    104 minority
    105 minority of laboratories
    106 most laboratories
    107 nature
    108 need
    109 ongoing mQACC outreach
    110 operating procedures
    111 order
    112 outreach
    113 outreach activities
    114 part
    115 participants
    116 peak integration
    117 place
    118 pool
    119 practice
    120 practitioners
    121 procedure
    122 process
    123 project
    124 public repositories
    125 quality assurance
    126 quality control consortium
    127 quality control practices
    128 questionnaire
    129 questions
    130 randomized experimental samples
    131 readers
    132 recommendations
    133 recruitment methods
    134 replicates
    135 reporting standards
    136 repository
    137 research project
    138 researchers
    139 robust system
    140 samples
    141 sharing
    142 six-page questionnaire
    143 spectrometry
    144 staff
    145 standard operating procedures
    146 standards
    147 storage
    148 suitability procedures
    149 system
    150 system suitability procedures
    151 technical replicates
    152 template
    153 training staff
    154 tuning
    155 universal practice
    156 untargeted metabolomics
    157 untargeted metabolomics practitioners
    158 voluntary nature
    159 work
    160 workflow
    161 worldwide pool
    162 schema:name Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC–MS based untargeted metabolomics practitioners
    163 schema:pagination 113
    164 schema:productId N0cebb388e6d0412bbf552862a1615b9a
    165 N9f917593d8ef432bbcc1bf31cb7e5132
    166 Ne2688d901f0647dfac7ee00cf96575ff
    167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1131624735
    168 https://doi.org/10.1007/s11306-020-01728-5
    169 schema:sdDatePublished 2022-01-01T18:59
    170 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    171 schema:sdPublisher N29a0ca2953d347a9983dd30640379216
    172 schema:url https://doi.org/10.1007/s11306-020-01728-5
    173 sgo:license sg:explorer/license/
    174 sgo:sdDataset articles
    175 rdf:type schema:ScholarlyArticle
    176 N09d1e67d0ed74d7b89963e6ff5dd0a88 schema:affiliation grid-institutes:grid.66875.3a
    177 schema:familyName Dasari
    178 schema:givenName Surendra
    179 rdf:type schema:Person
    180 N0cebb388e6d0412bbf552862a1615b9a schema:name pubmed_id
    181 schema:value 33044703
    182 rdf:type schema:PropertyValue
    183 N10f58bc3103b4b8a84d1259d6e537607 rdf:first sg:person.0717573147.40
    184 rdf:rest N19652748cc004123861b884ffe6d616d
    185 N19652748cc004123861b884ffe6d616d rdf:first Nb228d44172214f83b6e5062b4875b32f
    186 rdf:rest N846acbb99f8540ae877738ffc87b8234
    187 N2035e3cc74a742d3aab3f1a9dfbf2cc6 schema:affiliation grid-institutes:grid.429438.0
    188 schema:familyName Evans
    189 schema:givenName Anne M.
    190 rdf:type schema:Person
    191 N204fe464be4747169159830d1c36624c rdf:first sg:person.0775211471.27
    192 rdf:rest Nb97ba9fb859143aa9e565998ea55cb96
    193 N23dd7c09adab4d4c9bcba8774e7c91f1 rdf:first sg:person.01042634342.49
    194 rdf:rest N59e9f95a06c04cd1b53ade048bf6ece7
    195 N245c49300c564fc2b88060307b7ac9a6 schema:affiliation grid-institutes:grid.7692.a
    196 schema:familyName Jans
    197 schema:givenName Judith
    198 rdf:type schema:Person
    199 N25e8b78a2bda4b338e72ca90899733ca rdf:first sg:person.01017767203.44
    200 rdf:rest Ne7d7da3747c94dbaa2a512687f952cb1
    201 N2991ae1503b542359baf93e3beb875f5 rdf:first N2035e3cc74a742d3aab3f1a9dfbf2cc6
    202 rdf:rest N25e8b78a2bda4b338e72ca90899733ca
    203 N29a0ca2953d347a9983dd30640379216 schema:name Springer Nature - SN SciGraph project
    204 rdf:type schema:Organization
    205 N2e143c27ec794f43b357252b529fa000 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    206 schema:name Mass Spectrometry
    207 rdf:type schema:DefinedTerm
    208 N30904750f49d4c818ea8d3cf10151c40 rdf:first sg:person.01053762700.28
    209 rdf:rest N31621cd3aebb415c9cf09d44039c089b
    210 N31621cd3aebb415c9cf09d44039c089b rdf:first sg:person.01111765207.18
    211 rdf:rest N33ed3e06a6db4599993eab2db0042c71
    212 N33ed3e06a6db4599993eab2db0042c71 rdf:first sg:person.010002322074.21
    213 rdf:rest Ndff9c547f52e4b889feb61609a5a0988
    214 N3c91e5d3e6ee49bdbe0e8c83187fafed rdf:first Na08483dd197c4f79b33852836e04b9a2
    215 rdf:rest Na53bf8e0f49c458591b771224c06fa00
    216 N44acf530aaba4cffa989625c77334ade rdf:first N47be3b9e22c04bd887924283517e9078
    217 rdf:rest N10f58bc3103b4b8a84d1259d6e537607
    218 N47be3b9e22c04bd887924283517e9078 schema:affiliation grid-institutes:None
    219 schema:familyName Beecher
    220 schema:givenName Chris
    221 rdf:type schema:Person
    222 N48d18e821f684beda05051646071db4b schema:affiliation grid-institutes:grid.17091.3e
    223 schema:familyName Huan
    224 schema:givenName Tao
    225 rdf:type schema:Person
    226 N4aa24a1f77fb43b7a9bfd4f942ba025e rdf:first sg:person.0742725535.03
    227 rdf:rest N30904750f49d4c818ea8d3cf10151c40
    228 N4ac69b2db1c94e169e2dc10550abfdfe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    229 schema:name Laboratories
    230 rdf:type schema:DefinedTerm
    231 N517d46813d024b92aed5536013803d10 rdf:first N245c49300c564fc2b88060307b7ac9a6
    232 rdf:rest Nb3f029a8b5a741f5bddfa8adaa36894f
    233 N59e9f95a06c04cd1b53ade048bf6ece7 rdf:first sg:person.012451221647.25
    234 rdf:rest N3c91e5d3e6ee49bdbe0e8c83187fafed
    235 N704db278a0b24bbda32dbee6981e5b79 rdf:first sg:person.01104454655.17
    236 rdf:rest N80d87bf2cb4640f59250d4d0268e0b4e
    237 N7d3bce3e03624f989d63679770940417 rdf:first sg:person.01210205047.03
    238 rdf:rest Nc8e1485151034568ad8b3a23d25d42d5
    239 N80d87bf2cb4640f59250d4d0268e0b4e rdf:first sg:person.011061432265.89
    240 rdf:rest N7d3bce3e03624f989d63679770940417
    241 N846acbb99f8540ae877738ffc87b8234 rdf:first sg:person.01140423003.13
    242 rdf:rest Nf8750d8a42d945dcb4f309e40f1c7ce7
    243 N8704cfca65e34997ab28c3d0a05dce86 rdf:first N09d1e67d0ed74d7b89963e6ff5dd0a88
    244 rdf:rest N23dd7c09adab4d4c9bcba8774e7c91f1
    245 N9792ef2cda8744fab7287e9196d89cc9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    246 schema:name Humans
    247 rdf:type schema:DefinedTerm
    248 N9f917593d8ef432bbcc1bf31cb7e5132 schema:name dimensions_id
    249 schema:value pub.1131624735
    250 rdf:type schema:PropertyValue
    251 Na08483dd197c4f79b33852836e04b9a2 schema:affiliation grid-institutes:grid.21107.35
    252 schema:familyName Hartung
    253 schema:givenName Thomas
    254 rdf:type schema:Person
    255 Na53bf8e0f49c458591b771224c06fa00 rdf:first sg:person.01317301136.45
    256 rdf:rest Nc4a7a4a7301b480a8a93e50901d7f39d
    257 Na571eccc7347449d98266135a3aa2611 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    258 schema:name Chromatography, Liquid
    259 rdf:type schema:DefinedTerm
    260 Naf03ae096e5f4d24a0479e0864e2c371 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    261 schema:name Surveys and Questionnaires
    262 rdf:type schema:DefinedTerm
    263 Nb1078485f63542e6ac0e041a4fe3ba42 schema:issueNumber 10
    264 rdf:type schema:PublicationIssue
    265 Nb228d44172214f83b6e5062b4875b32f schema:affiliation grid-institutes:grid.15276.37
    266 schema:familyName Bowden
    267 schema:givenName John A.
    268 rdf:type schema:Person
    269 Nb3f029a8b5a741f5bddfa8adaa36894f rdf:first Nda5314b15b4e49fc8c0eb91f5512a806
    270 rdf:rest N4aa24a1f77fb43b7a9bfd4f942ba025e
    271 Nb97ba9fb859143aa9e565998ea55cb96 rdf:first N745d6cfe9b1d4ef7a304c86c7ea661e1
    272 rdf:rest rdf:nil
    273 Nc3aef31a760f4af49884e284ac7b2a32 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    274 schema:name Metabolomics
    275 rdf:type schema:DefinedTerm
    276 Nc4a7a4a7301b480a8a93e50901d7f39d rdf:first N48d18e821f684beda05051646071db4b
    277 rdf:rest N517d46813d024b92aed5536013803d10
    278 Nc8e1485151034568ad8b3a23d25d42d5 rdf:first sg:person.0777530474.36
    279 rdf:rest Nf0d40015d312417cad6be440b5dda821
    280 Nd77b1fef001d402baa1f4e52b67888b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    281 schema:name Research Design
    282 rdf:type schema:DefinedTerm
    283 Nda5314b15b4e49fc8c0eb91f5512a806 schema:affiliation grid-institutes:grid.507869.5
    284 schema:familyName Jones
    285 schema:givenName Christina M.
    286 rdf:type schema:Person
    287 Nde1836797d744c13916adf9d9ae4dd9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    288 schema:name Quality Control
    289 rdf:type schema:DefinedTerm
    290 Ndff9c547f52e4b889feb61609a5a0988 rdf:first sg:person.0722520545.47
    291 rdf:rest N704db278a0b24bbda32dbee6981e5b79
    292 Ne168fa43617f47039dad4a608c6b6010 schema:volumeNumber 16
    293 rdf:type schema:PublicationVolume
    294 Ne2688d901f0647dfac7ee00cf96575ff schema:name doi
    295 schema:value 10.1007/s11306-020-01728-5
    296 rdf:type schema:PropertyValue
    297 Ne7d7da3747c94dbaa2a512687f952cb1 rdf:first sg:person.0616313311.67
    298 rdf:rest N44acf530aaba4cffa989625c77334ade
    299 Nf0d40015d312417cad6be440b5dda821 rdf:first sg:person.0666367211.34
    300 rdf:rest N204fe464be4747169159830d1c36624c
    301 Nf8750d8a42d945dcb4f309e40f1c7ce7 rdf:first sg:person.0764632420.16
    302 rdf:rest N8704cfca65e34997ab28c3d0a05dce86
    303 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    304 schema:name Chemical Sciences
    305 rdf:type schema:DefinedTerm
    306 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
    307 schema:name Analytical Chemistry
    308 rdf:type schema:DefinedTerm
    309 sg:grant.2468518 http://pending.schema.org/fundedItem sg:pub.10.1007/s11306-020-01728-5
    310 rdf:type schema:MonetaryGrant
    311 sg:grant.2785012 http://pending.schema.org/fundedItem sg:pub.10.1007/s11306-020-01728-5
    312 rdf:type schema:MonetaryGrant
    313 sg:grant.3864363 http://pending.schema.org/fundedItem sg:pub.10.1007/s11306-020-01728-5
    314 rdf:type schema:MonetaryGrant
    315 sg:grant.3932693 http://pending.schema.org/fundedItem sg:pub.10.1007/s11306-020-01728-5
    316 rdf:type schema:MonetaryGrant
    317 sg:grant.6446046 http://pending.schema.org/fundedItem sg:pub.10.1007/s11306-020-01728-5
    318 rdf:type schema:MonetaryGrant
    319 sg:grant.6542332 http://pending.schema.org/fundedItem sg:pub.10.1007/s11306-020-01728-5
    320 rdf:type schema:MonetaryGrant
    321 sg:grant.7552492 http://pending.schema.org/fundedItem sg:pub.10.1007/s11306-020-01728-5
    322 rdf:type schema:MonetaryGrant
    323 sg:journal.1036887 schema:issn 1573-3882
    324 1573-3890
    325 schema:name Metabolomics
    326 schema:publisher Springer Nature
    327 rdf:type schema:Periodical
    328 sg:person.010002322074.21 schema:affiliation grid-institutes:grid.423606.5
    329 schema:familyName Monge
    330 schema:givenName María Eugenia
    331 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010002322074.21
    332 rdf:type schema:Person
    333 sg:person.01017767203.44 schema:affiliation grid-institutes:grid.225360.0
    334 schema:familyName O’Donovan
    335 schema:givenName Claire
    336 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017767203.44
    337 rdf:type schema:Person
    338 sg:person.01042634342.49 schema:affiliation grid-institutes:grid.6572.6
    339 schema:familyName Dunn
    340 schema:givenName Warwick B.
    341 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042634342.49
    342 rdf:type schema:Person
    343 sg:person.01053762700.28 schema:affiliation grid-institutes:grid.21107.35
    344 schema:familyName Kleensang
    345 schema:givenName Andre
    346 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01053762700.28
    347 rdf:type schema:Person
    348 sg:person.01104454655.17 schema:affiliation grid-institutes:grid.214572.7
    349 schema:familyName Taylor
    350 schema:givenName Eric
    351 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104454655.17
    352 rdf:type schema:Person
    353 sg:person.011061432265.89 schema:affiliation grid-institutes:grid.214572.7
    354 schema:familyName Tayyari
    355 schema:givenName Fariba
    356 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011061432265.89
    357 rdf:type schema:Person
    358 sg:person.01111765207.18 schema:affiliation grid-institutes:grid.7445.2
    359 schema:familyName Lewis
    360 schema:givenName Matthew R.
    361 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01111765207.18
    362 rdf:type schema:Person
    363 sg:person.01140423003.13 schema:affiliation grid-institutes:grid.1038.a
    364 schema:familyName Broadhurst
    365 schema:givenName David
    366 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140423003.13
    367 rdf:type schema:Person
    368 sg:person.01210205047.03 schema:affiliation grid-institutes:grid.4793.9
    369 schema:familyName Theodoridis
    370 schema:givenName Georgios
    371 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210205047.03
    372 rdf:type schema:Person
    373 sg:person.012451221647.25 schema:affiliation grid-institutes:grid.7445.2
    374 schema:familyName Griffin
    375 schema:givenName Julian L.
    376 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012451221647.25
    377 rdf:type schema:Person
    378 sg:person.01317301136.45 schema:affiliation grid-institutes:grid.241054.6
    379 schema:familyName Hsu
    380 schema:givenName Ping- Ching
    381 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317301136.45
    382 rdf:type schema:Person
    383 sg:person.0616313311.67 schema:affiliation grid-institutes:grid.223827.e
    384 schema:familyName Playdon
    385 schema:givenName Mary
    386 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616313311.67
    387 rdf:type schema:Person
    388 sg:person.0666367211.34 schema:affiliation grid-institutes:None
    389 schema:familyName Ubhi
    390 schema:givenName Baljit K.
    391 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666367211.34
    392 rdf:type schema:Person
    393 sg:person.0717573147.40 schema:affiliation grid-institutes:grid.483504.e
    394 schema:familyName Beger
    395 schema:givenName Richard D.
    396 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717573147.40
    397 rdf:type schema:Person
    398 sg:person.0722520545.47 schema:affiliation grid-institutes:grid.418698.a
    399 schema:familyName Mosley
    400 schema:givenName Jonathan D.
    401 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722520545.47
    402 rdf:type schema:Person
    403 sg:person.0742725535.03 schema:affiliation grid-institutes:grid.214458.e
    404 schema:familyName Kachman
    405 schema:givenName Maureen
    406 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742725535.03
    407 rdf:type schema:Person
    408 sg:person.0764632420.16 schema:affiliation grid-institutes:grid.66859.34
    409 schema:familyName Clish
    410 schema:givenName Clary B.
    411 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764632420.16
    412 rdf:type schema:Person
    413 sg:person.0775211471.27 schema:affiliation grid-institutes:grid.410319.e
    414 schema:familyName Vuckovic
    415 schema:givenName Dajana
    416 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775211471.27
    417 rdf:type schema:Person
    418 sg:person.0777530474.36 schema:affiliation grid-institutes:grid.4280.e
    419 schema:familyName Torta
    420 schema:givenName Federico
    421 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777530474.36
    422 rdf:type schema:Person
    423 sg:pub.10.1007/s11306-007-0082-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023480149
    424 https://doi.org/10.1007/s11306-007-0082-2
    425 rdf:type schema:CreativeWork
    426 sg:pub.10.1007/s11306-014-0707-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024965129
    427 https://doi.org/10.1007/s11306-014-0707-1
    428 rdf:type schema:CreativeWork
    429 sg:pub.10.1007/s11306-017-1188-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084030993
    430 https://doi.org/10.1007/s11306-017-1188-9
    431 rdf:type schema:CreativeWork
    432 sg:pub.10.1007/s11306-018-1367-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104089049
    433 https://doi.org/10.1007/s11306-018-1367-3
    434 rdf:type schema:CreativeWork
    435 sg:pub.10.1007/s11306-018-1460-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111100723
    436 https://doi.org/10.1007/s11306-018-1460-7
    437 rdf:type schema:CreativeWork
    438 sg:pub.10.1007/s11306-019-1519-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113301024
    439 https://doi.org/10.1007/s11306-019-1519-0
    440 rdf:type schema:CreativeWork
    441 sg:pub.10.1007/s11306-019-1562-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1117606640
    442 https://doi.org/10.1007/s11306-019-1562-x
    443 rdf:type schema:CreativeWork
    444 sg:pub.10.1038/ng.2982 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044995197
    445 https://doi.org/10.1038/ng.2982
    446 rdf:type schema:CreativeWork
    447 sg:pub.10.1038/nprot.2011.335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015396743
    448 https://doi.org/10.1038/nprot.2011.335
    449 rdf:type schema:CreativeWork
    450 sg:pub.10.1038/s41467-019-08936-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112543880
    451 https://doi.org/10.1038/s41467-019-08936-1
    452 rdf:type schema:CreativeWork
    453 sg:pub.10.1038/s41467-019-09117-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1112641448
    454 https://doi.org/10.1038/s41467-019-09117-w
    455 rdf:type schema:CreativeWork
    456 sg:pub.10.1038/s41467-019-10900-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1117869802
    457 https://doi.org/10.1038/s41467-019-10900-y
    458 rdf:type schema:CreativeWork
    459 sg:pub.10.1038/s41586-019-1443-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1118144215
    460 https://doi.org/10.1038/s41586-019-1443-5
    461 rdf:type schema:CreativeWork
    462 sg:pub.10.1038/s41587-019-0233-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1120762863
    463 https://doi.org/10.1038/s41587-019-0233-9
    464 rdf:type schema:CreativeWork
    465 sg:pub.10.1038/s41598-019-50344-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1121264165
    466 https://doi.org/10.1038/s41598-019-50344-4
    467 rdf:type schema:CreativeWork
    468 sg:pub.10.1038/sdata.2016.18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005603549
    469 https://doi.org/10.1038/sdata.2016.18
    470 rdf:type schema:CreativeWork
    471 sg:pub.10.1186/s12885-019-5660-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1115655065
    472 https://doi.org/10.1186/s12885-019-5660-y
    473 rdf:type schema:CreativeWork
    474 grid-institutes:None schema:alternateName IROA Technologies, Chapel Hill, NC, USA
    475 Sciex, Redwood, USA
    476 schema:name IROA Technologies, Chapel Hill, NC, USA
    477 Sciex, Redwood, USA
    478 rdf:type schema:Organization
    479 grid-institutes:grid.1038.a schema:alternateName Centre for Integrative Metabolomics & Computational Biology, School of Science, Edith Cowan University, Joondalup, WA, Australia
    480 schema:name Centre for Integrative Metabolomics & Computational Biology, School of Science, Edith Cowan University, Joondalup, WA, Australia
    481 rdf:type schema:Organization
    482 grid-institutes:grid.15276.37 schema:alternateName College of Veterinary Medicine, University of Florida, Gainesville, FL, USA
    483 schema:name College of Veterinary Medicine, University of Florida, Gainesville, FL, USA
    484 rdf:type schema:Organization
    485 grid-institutes:grid.17091.3e schema:alternateName Department of Chemistry, University of British Columbia, Vancouver, Canada
    486 schema:name Department of Chemistry, University of British Columbia, Vancouver, Canada
    487 rdf:type schema:Organization
    488 grid-institutes:grid.21107.35 schema:alternateName Center for Alternatives To Animal Testing (CAAT), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
    489 schema:name Center for Alternatives To Animal Testing (CAAT), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
    490 rdf:type schema:Organization
    491 grid-institutes:grid.214458.e schema:alternateName University of Michigan, Ann Arbor, MI, USA
    492 schema:name University of Michigan, Ann Arbor, MI, USA
    493 rdf:type schema:Organization
    494 grid-institutes:grid.214572.7 schema:alternateName Department of Internal Medicine, Metabolomics Core, The University of Iowa, Iowa City, Iowa, USA
    495 University of Iowa, Iowa City, Iowa, USA
    496 schema:name Department of Internal Medicine, Metabolomics Core, The University of Iowa, Iowa City, Iowa, USA
    497 University of Iowa, Iowa City, Iowa, USA
    498 rdf:type schema:Organization
    499 grid-institutes:grid.223827.e schema:alternateName University of Utah, Salt Lake City, Utah, USA
    500 schema:name University of Utah, Salt Lake City, Utah, USA
    501 rdf:type schema:Organization
    502 grid-institutes:grid.225360.0 schema:alternateName European Molecular Biology Laboratory (EMBL), The European Bioinformatics Institute, Cambridgeshire, UK
    503 schema:name European Molecular Biology Laboratory (EMBL), The European Bioinformatics Institute, Cambridgeshire, UK
    504 rdf:type schema:Organization
    505 grid-institutes:grid.241054.6 schema:alternateName University of Arkansas for Medical Sciences, Little Rock, AR, USA
    506 schema:name University of Arkansas for Medical Sciences, Little Rock, AR, USA
    507 rdf:type schema:Organization
    508 grid-institutes:grid.410319.e schema:alternateName Concordia University, Montreal, QC, Canada
    509 schema:name Concordia University, Montreal, QC, Canada
    510 rdf:type schema:Organization
    511 grid-institutes:grid.418698.a schema:alternateName Center for Environmental Measurement and Modeling, Environmental Protection Agency, Washington, DC, USA
    512 schema:name Center for Environmental Measurement and Modeling, Environmental Protection Agency, Washington, DC, USA
    513 rdf:type schema:Organization
    514 grid-institutes:grid.423606.5 schema:alternateName Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), C1425FQD, Ciudad de Buenos Aires, Argentina
    515 schema:name Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), C1425FQD, Ciudad de Buenos Aires, Argentina
    516 rdf:type schema:Organization
    517 grid-institutes:grid.4280.e schema:alternateName Singapore Lipidomics Incubator, Department of Biochemistry, Life Sciences Institute and Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore
    518 schema:name Singapore Lipidomics Incubator, Department of Biochemistry, Life Sciences Institute and Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore
    519 rdf:type schema:Organization
    520 grid-institutes:grid.429438.0 schema:alternateName Metabolon, Morrisville, NC, USA
    521 schema:name Metabolon, Morrisville, NC, USA
    522 rdf:type schema:Organization
    523 grid-institutes:grid.4793.9 schema:alternateName Aristotle University, Thessaloniki, Greece
    524 schema:name Aristotle University, Thessaloniki, Greece
    525 rdf:type schema:Organization
    526 grid-institutes:grid.483504.e schema:alternateName National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, USA
    527 schema:name National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, USA
    528 rdf:type schema:Organization
    529 grid-institutes:grid.507869.5 schema:alternateName Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
    530 schema:name Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
    531 rdf:type schema:Organization
    532 grid-institutes:grid.6572.6 schema:alternateName School of Biosciences, Phenome Centre Birmingham and Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK
    533 schema:name School of Biosciences, Phenome Centre Birmingham and Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK
    534 rdf:type schema:Organization
    535 grid-institutes:grid.66859.34 schema:alternateName Broad Institute, Cambridge, MA, USA
    536 schema:name Broad Institute, Cambridge, MA, USA
    537 rdf:type schema:Organization
    538 grid-institutes:grid.66875.3a schema:alternateName Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
    539 schema:name Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
    540 rdf:type schema:Organization
    541 grid-institutes:grid.7445.2 schema:alternateName Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
    542 National Phenome Centre, Imperial College London, London, UK
    543 schema:name Department of Biochemistry, University of Cambridge, Cambridge, UK
    544 Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
    545 National Phenome Centre, Imperial College London, London, UK
    546 rdf:type schema:Organization
    547 grid-institutes:grid.7692.a schema:alternateName University Medical Center Utrecht, Utrecht, Netherlands
    548 schema:name University Medical Center Utrecht, Utrecht, Netherlands
    549 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...