Microbiome-wide association studies link dynamic microbial consortia to disease View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-07-06

AUTHORS

Jack A. Gilbert, Robert A. Quinn, Justine Debelius, Zhenjiang Z. Xu, James Morton, Neha Garg, Janet K. Jansson, Pieter C. Dorrestein, Rob Knight

ABSTRACT

Rapid advances in DNA sequencing, metabolomics, proteomics and computational tools are dramatically increasing access to the microbiome and identification of its links with disease. In particular, time-series studies and multiple molecular perspectives are facilitating microbiome-wide association studies, which are analogous to genome-wide association studies. Early findings point to actionable outcomes of microbiome-wide association studies, although their clinical application has yet to be approved. An appreciation of the complexity of interactions among the microbiome and the host's diet, chemistry and health, as well as determining the frequency of observations that are needed to capture and integrate this dynamic interface, is paramount for developing precision diagnostics and therapies that are based on the microbiome. More... »

PAGES

94-103

References to SciGraph publications

  • 2014-03-20. Predictive modeling of gingivitis severity and susceptibility via oral microbiota in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2016-02-01. Partial restoration of the microbiota of cesarean-born infants via vaginal microbial transfer in NATURE MEDICINE
  • 2013-04-07. Intestinal microbiota metabolism of l-carnitine, a nutrient in red meat, promotes atherosclerosis in NATURE MEDICINE
  • 2010-11. Meeting Report: The Terabase Metagenomics Workshop and the Vision of an Earth Microbiome Project in ENVIRONMENTAL MICROBIOME
  • 2015-12-02. Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota in NATURE
  • 2014-10-22. Precision microbiome reconstitution restores bile acid mediated resistance to Clostridium difficile in NATURE
  • 2011-07-17. Bayesian community-wide culture-independent microbial source tracking in NATURE METHODS
  • 2012-06-13. Structure, function and diversity of the healthy human microbiome in NATURE
  • 2012-05-09. Human gut microbiome viewed across age and geography in NATURE
  • 2006-12. An obesity-associated gut microbiome with increased capacity for energy harvest in NATURE
  • 2006-12-21. Human gut microbes associated with obesity in NATURE
  • 2013-08-25. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences in NATURE BIOTECHNOLOGY
  • 2010-07-08. Toward defining the autoimmune microbiome for type 1 diabetes in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2014-12-05. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 in GENOME BIOLOGY
  • 2007-10-17. The Human Microbiome Project in NATURE
  • 2015-02-05. Network analysis suggests a potentially ‘evil’ alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities in SCIENTIFIC REPORTS
  • 2014-12-03. Temporal variability is a personalized feature of the human microbiome in GENOME BIOLOGY
  • 2011-04-20. Enterotypes of the human gut microbiome in NATURE
  • 2015-05-30. Rapid draft sequencing and real-time nanopore sequencing in a hospital outbreak of Salmonella in GENOME BIOLOGY
  • 2015-12-09. The microbiome quality control project: baseline study design and future directions in GENOME BIOLOGY
  • 2013-08-09. Cometabolism of Microbes and Host: Implications for Drug Metabolism and Drug‐Induced Toxicity in CLINICAL PHARMACOLOGY & THERAPEUTICS
  • 2016-03-11. Emerging applications of metabolomics in drug discovery and precision medicine in NATURE REVIEWS DRUG DISCOVERY
  • 2010-03. A human gut microbial gene catalogue established by metagenomic sequencing in NATURE
  • 2008-11-30. A core gut microbiome in obese and lean twins in NATURE
  • 2015-12-01. Microbial, host and xenobiotic diversity in the cystic fibrosis sputum metabolome in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2013-08-28. Dietary intervention impact on gut microbial gene richness in NATURE
  • 2015-06-11. A genome-wide systems analysis reveals strong link between colorectal cancer and trimethylamine N-oxide (TMAO), a gut microbial metabolite of dietary meat and fat in BMC GENOMICS
  • 2015-07-27. The oral and gut microbiomes are perturbed in rheumatoid arthritis and partly normalized after treatment in NATURE MEDICINE
  • 2014-04-16. Dynamics and associations of microbial community types across the human body in NATURE
  • 2015-03-30. Dynamic changes in short- and long-term bacterial composition following fecal microbiota transplantation for recurrent Clostridium difficile infection in MICROBIOME
  • 2010-09-05. Microbial community resemblance methods differ in their ability to detect biologically relevant patterns in NATURE METHODS
  • 2013-11-26. EMPeror: a tool for visualizing high-throughput microbial community data in GIGASCIENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nature18850

    DOI

    http://dx.doi.org/10.1038/nature18850

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1013019120

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27383984


    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/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Bacteria", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Biomarkers", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Disease", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Disease Susceptibility", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Health", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metabolome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Microbial Consortia", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prognosis", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Surgery, University of Chicago, 60637, Chicago, Illinois, USA", 
              "id": "http://www.grid.ac/institutes/grid.170205.1", 
              "name": [
                "Department of Surgery, University of Chicago, 60637, Chicago, Illinois, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gilbert", 
            "givenName": "Jack A.", 
            "id": "sg:person.0727626545.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727626545.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Center for Microbiome Innovation, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Department of Pharmacology, University of California, 92093, San Diego, La Jolla, California, USA", 
                "Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, 92093, San Diego, La Jolla, California, USA", 
                "Center for Microbiome Innovation, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Quinn", 
            "givenName": "Robert A.", 
            "id": "sg:person.01332531426.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332531426.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Pediatrics, University of California, San Diego School of Medicine, 92093, La Jolla, California, USA", 
              "id": "http://www.grid.ac/institutes/grid.266100.3", 
              "name": [
                "Department of Pediatrics, University of California, San Diego School of Medicine, 92093, La Jolla, California, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Debelius", 
            "givenName": "Justine", 
            "id": "sg:person.01027242434.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027242434.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Pediatrics, University of California, San Diego School of Medicine, 92093, La Jolla, California, USA", 
              "id": "http://www.grid.ac/institutes/grid.266100.3", 
              "name": [
                "Department of Pediatrics, University of California, San Diego School of Medicine, 92093, La Jolla, California, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xu", 
            "givenName": "Zhenjiang Z.", 
            "id": "sg:person.01161573701.69", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161573701.69"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Computer Science and Engineering, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Department of Computer Science and Engineering, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Morton", 
            "givenName": "James", 
            "id": "sg:person.07611006373.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07611006373.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, 92093, San Diego, La Jolla, California, USA", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Department of Pharmacology, University of California, 92093, San Diego, La Jolla, California, USA", 
                "Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, 92093, San Diego, La Jolla, California, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Garg", 
            "givenName": "Neha", 
            "id": "sg:person.07541460031.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07541460031.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, 99354, Richland, Washington, USA", 
              "id": "http://www.grid.ac/institutes/grid.451303.0", 
              "name": [
                "Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, 99354, Richland, Washington, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jansson", 
            "givenName": "Janet K.", 
            "id": "sg:person.0777235637.90", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777235637.90"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Pediatrics, University of California, San Diego School of Medicine, 92093, La Jolla, California, USA", 
              "id": "http://www.grid.ac/institutes/grid.266100.3", 
              "name": [
                "Department of Pharmacology, University of California, 92093, San Diego, La Jolla, California, USA", 
                "Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, 92093, San Diego, La Jolla, California, USA", 
                "Center for Microbiome Innovation, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA", 
                "Department of Pediatrics, University of California, San Diego School of Medicine, 92093, La Jolla, California, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dorrestein", 
            "givenName": "Pieter C.", 
            "id": "sg:person.01023217043.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023217043.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Computer Science and Engineering, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Center for Microbiome Innovation, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA", 
                "Department of Pediatrics, University of California, San Diego School of Medicine, 92093, La Jolla, California, USA", 
                "Department of Computer Science and Engineering, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Knight", 
            "givenName": "Rob", 
            "id": "sg:person.016311745377.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016311745377.96"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nature13828", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004780748", 
              "https://doi.org/10.1038/nature13828"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature06244", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009917183", 
              "https://doi.org/10.1038/nature06244"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/clpt.2013.157", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029971898", 
              "https://doi.org/10.1038/clpt.2013.157"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40168-015-0070-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052787542", 
              "https://doi.org/10.1186/s40168-015-0070-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.3914", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009083133", 
              "https://doi.org/10.1038/nm.3914"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrd.2016.32", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024095766", 
              "https://doi.org/10.1038/nrd.2016.32"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-015-0841-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052977184", 
              "https://doi.org/10.1186/s13059-015-0841-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2047-217x-2-16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022546943", 
              "https://doi.org/10.1186/2047-217x-2-16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-015-0677-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050860166", 
              "https://doi.org/10.1186/s13059-015-0677-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07540", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030170002", 
              "https://doi.org/10.1038/nature07540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature12480", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000291686", 
              "https://doi.org/10.1038/nature12480"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13178", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022430209", 
              "https://doi.org/10.1038/nature13178"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2014.32", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014154397", 
              "https://doi.org/10.1038/ismej.2014.32"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0531-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034675947", 
              "https://doi.org/10.1186/s13059-014-0531-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-16-s7-s4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010638051", 
              "https://doi.org/10.1186/1471-2164-16-s7-s4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature05414", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023893418", 
              "https://doi.org/10.1038/nature05414"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep08275", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048309241", 
              "https://doi.org/10.1038/srep08275"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11053", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052378845", 
              "https://doi.org/10.1038/nature11053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08821", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050498034", 
              "https://doi.org/10.1038/nature08821"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2010.92", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039284129", 
              "https://doi.org/10.1038/ismej.2010.92"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0550-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015222646", 
              "https://doi.org/10.1186/s13059-014-0550-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09944", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026204536", 
              "https://doi.org/10.1038/nature09944"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.4039", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053033249", 
              "https://doi.org/10.1038/nm.4039"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11234", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007740093", 
              "https://doi.org/10.1038/nature11234"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2015.207", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027316470", 
              "https://doi.org/10.1038/ismej.2015.207"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/4441022a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018798093", 
              "https://doi.org/10.1038/4441022a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature15766", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014535385", 
              "https://doi.org/10.1038/nature15766"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.3145", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004485531", 
              "https://doi.org/10.1038/nm.3145"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1650", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005440831", 
              "https://doi.org/10.1038/nmeth.1650"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2676", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034019934", 
              "https://doi.org/10.1038/nbt.2676"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.4056/sigs.1433550", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015489166", 
              "https://doi.org/10.4056/sigs.1433550"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1499", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006708540", 
              "https://doi.org/10.1038/nmeth.1499"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-07-06", 
        "datePublishedReg": "2016-07-06", 
        "description": "Rapid advances in DNA sequencing, metabolomics, proteomics and computational tools are dramatically increasing access to the microbiome and identification of its links with disease. In particular, time-series studies and multiple molecular perspectives are facilitating microbiome-wide association studies, which are analogous to genome-wide association studies. Early findings point to actionable outcomes of microbiome-wide association studies, although their clinical application has yet to be approved. An appreciation of the complexity of interactions among the microbiome and the host's diet, chemistry and health, as well as determining the frequency of observations that are needed to capture and integrate this dynamic interface, is paramount for developing precision diagnostics and therapies that are based on the microbiome.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/nature18850", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1018957", 
            "issn": [
              "0028-0836", 
              "1476-4687"
            ], 
            "name": "Nature", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "7610", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "535"
          }
        ], 
        "keywords": [
          "microbiome-wide association studies", 
          "wide association study", 
          "association studies", 
          "dynamic microbial consortia", 
          "host diet", 
          "microbial consortia", 
          "molecular perspective", 
          "DNA sequencing", 
          "complexity of interactions", 
          "microbiome", 
          "dynamic interface", 
          "computational tools", 
          "proteomics", 
          "rapid advances", 
          "sequencing", 
          "precision diagnostics", 
          "metabolomics", 
          "diet", 
          "consortium", 
          "identification", 
          "frequency of observation", 
          "interaction", 
          "earlier findings", 
          "study", 
          "clinical application", 
          "advances", 
          "disease", 
          "link", 
          "findings", 
          "tool", 
          "observations", 
          "complexity", 
          "appreciation", 
          "diagnostics", 
          "chemistry", 
          "health", 
          "actionable outcomes", 
          "frequency", 
          "time-series study", 
          "interface", 
          "perspective", 
          "applications", 
          "therapy", 
          "access", 
          "outcomes"
        ], 
        "name": "Microbiome-wide association studies link dynamic microbial consortia to disease", 
        "pagination": "94-103", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1013019120"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/nature18850"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "27383984"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/nature18850", 
          "https://app.dimensions.ai/details/publication/pub.1013019120"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-09-02T15:59", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_701.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/nature18850"
      }
    ]
     

    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.10.1038/nature18850'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nature18850'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nature18850'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nature18850'


     

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

    348 TRIPLES      21 PREDICATES      112 URIs      72 LITERALS      17 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/nature18850 schema:about N001cd149f7354b15b03467d5e077c13a
    2 N08af65aba3e840c5aaead3617a25ee0c
    3 N0f6b196159684db58a70670b486f5015
    4 N14eca47ba5184f9092efb437d70b7a9c
    5 N49d175c0068746f3a52afa4a7efacbbd
    6 N579cbef537444c839f35d9c82f736cc9
    7 N826415a9674841878fcff7bbae362f0b
    8 N95583d6603ee43a39e59a9244f135713
    9 Nc42e94ce43834e18a682cc5052a7333a
    10 Nd57f16dbcae34402a28e83bdd1a58901
    11 anzsrc-for:06
    12 anzsrc-for:0604
    13 schema:author N4f01fd2c56494575961e00a7b7d4907f
    14 schema:citation sg:pub.10.1038/4441022a
    15 sg:pub.10.1038/clpt.2013.157
    16 sg:pub.10.1038/ismej.2010.92
    17 sg:pub.10.1038/ismej.2014.32
    18 sg:pub.10.1038/ismej.2015.207
    19 sg:pub.10.1038/nature05414
    20 sg:pub.10.1038/nature06244
    21 sg:pub.10.1038/nature07540
    22 sg:pub.10.1038/nature08821
    23 sg:pub.10.1038/nature09944
    24 sg:pub.10.1038/nature11053
    25 sg:pub.10.1038/nature11234
    26 sg:pub.10.1038/nature12480
    27 sg:pub.10.1038/nature13178
    28 sg:pub.10.1038/nature13828
    29 sg:pub.10.1038/nature15766
    30 sg:pub.10.1038/nbt.2676
    31 sg:pub.10.1038/nm.3145
    32 sg:pub.10.1038/nm.3914
    33 sg:pub.10.1038/nm.4039
    34 sg:pub.10.1038/nmeth.1499
    35 sg:pub.10.1038/nmeth.1650
    36 sg:pub.10.1038/nrd.2016.32
    37 sg:pub.10.1038/srep08275
    38 sg:pub.10.1186/1471-2164-16-s7-s4
    39 sg:pub.10.1186/2047-217x-2-16
    40 sg:pub.10.1186/s13059-014-0531-y
    41 sg:pub.10.1186/s13059-014-0550-8
    42 sg:pub.10.1186/s13059-015-0677-2
    43 sg:pub.10.1186/s13059-015-0841-8
    44 sg:pub.10.1186/s40168-015-0070-0
    45 sg:pub.10.4056/sigs.1433550
    46 schema:datePublished 2016-07-06
    47 schema:datePublishedReg 2016-07-06
    48 schema:description Rapid advances in DNA sequencing, metabolomics, proteomics and computational tools are dramatically increasing access to the microbiome and identification of its links with disease. In particular, time-series studies and multiple molecular perspectives are facilitating microbiome-wide association studies, which are analogous to genome-wide association studies. Early findings point to actionable outcomes of microbiome-wide association studies, although their clinical application has yet to be approved. An appreciation of the complexity of interactions among the microbiome and the host's diet, chemistry and health, as well as determining the frequency of observations that are needed to capture and integrate this dynamic interface, is paramount for developing precision diagnostics and therapies that are based on the microbiome.
    49 schema:genre article
    50 schema:isAccessibleForFree false
    51 schema:isPartOf N9c645687eaf843a68a51167198331e65
    52 Nbf918913f6f34aa0bd5ec274abf37844
    53 sg:journal.1018957
    54 schema:keywords DNA sequencing
    55 access
    56 actionable outcomes
    57 advances
    58 applications
    59 appreciation
    60 association studies
    61 chemistry
    62 clinical application
    63 complexity
    64 complexity of interactions
    65 computational tools
    66 consortium
    67 diagnostics
    68 diet
    69 disease
    70 dynamic interface
    71 dynamic microbial consortia
    72 earlier findings
    73 findings
    74 frequency
    75 frequency of observation
    76 health
    77 host diet
    78 identification
    79 interaction
    80 interface
    81 link
    82 metabolomics
    83 microbial consortia
    84 microbiome
    85 microbiome-wide association studies
    86 molecular perspective
    87 observations
    88 outcomes
    89 perspective
    90 precision diagnostics
    91 proteomics
    92 rapid advances
    93 sequencing
    94 study
    95 therapy
    96 time-series study
    97 tool
    98 wide association study
    99 schema:name Microbiome-wide association studies link dynamic microbial consortia to disease
    100 schema:pagination 94-103
    101 schema:productId N112cec8bebb54a16a04da09272c87f77
    102 N5b4990bf6d8e40b6b38027e9cd2f3596
    103 Nf983b8b889d9469ba8e1e172d9ea24c8
    104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013019120
    105 https://doi.org/10.1038/nature18850
    106 schema:sdDatePublished 2022-09-02T15:59
    107 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    108 schema:sdPublisher Nc136d9b9b3be41569cddcac232948bab
    109 schema:url https://doi.org/10.1038/nature18850
    110 sgo:license sg:explorer/license/
    111 sgo:sdDataset articles
    112 rdf:type schema:ScholarlyArticle
    113 N001cd149f7354b15b03467d5e077c13a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Humans
    115 rdf:type schema:DefinedTerm
    116 N08af65aba3e840c5aaead3617a25ee0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Animals
    118 rdf:type schema:DefinedTerm
    119 N0f6b196159684db58a70670b486f5015 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name Biomarkers
    121 rdf:type schema:DefinedTerm
    122 N112cec8bebb54a16a04da09272c87f77 schema:name doi
    123 schema:value 10.1038/nature18850
    124 rdf:type schema:PropertyValue
    125 N14eca47ba5184f9092efb437d70b7a9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Metabolome
    127 rdf:type schema:DefinedTerm
    128 N1b219f4657964482b5a221e5f055ac7d rdf:first sg:person.07611006373.15
    129 rdf:rest N30f63a6606dc4f4b8e3ae390aef85796
    130 N30f63a6606dc4f4b8e3ae390aef85796 rdf:first sg:person.07541460031.01
    131 rdf:rest Nf0ba905f0a51402997f3e6bd4a0194f0
    132 N49d175c0068746f3a52afa4a7efacbbd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    133 schema:name Health
    134 rdf:type schema:DefinedTerm
    135 N4f01fd2c56494575961e00a7b7d4907f rdf:first sg:person.0727626545.37
    136 rdf:rest N88d9113b062c44808397d7c79bf479df
    137 N5654edde7b554b5996626e5bd53ddd71 rdf:first sg:person.01027242434.10
    138 rdf:rest N93bb8af4d35d47889a276b32bcb8b07a
    139 N579cbef537444c839f35d9c82f736cc9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    140 schema:name Prognosis
    141 rdf:type schema:DefinedTerm
    142 N5b4990bf6d8e40b6b38027e9cd2f3596 schema:name pubmed_id
    143 schema:value 27383984
    144 rdf:type schema:PropertyValue
    145 N630bc7ee9715441990beef64ab544ffa rdf:first sg:person.01023217043.95
    146 rdf:rest Nc4688e9ef5844878bf3c0df9c243115a
    147 N826415a9674841878fcff7bbae362f0b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name Microbial Consortia
    149 rdf:type schema:DefinedTerm
    150 N88d9113b062c44808397d7c79bf479df rdf:first sg:person.01332531426.34
    151 rdf:rest N5654edde7b554b5996626e5bd53ddd71
    152 N93bb8af4d35d47889a276b32bcb8b07a rdf:first sg:person.01161573701.69
    153 rdf:rest N1b219f4657964482b5a221e5f055ac7d
    154 N95583d6603ee43a39e59a9244f135713 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    155 schema:name Bacteria
    156 rdf:type schema:DefinedTerm
    157 N9c645687eaf843a68a51167198331e65 schema:volumeNumber 535
    158 rdf:type schema:PublicationVolume
    159 Nbf918913f6f34aa0bd5ec274abf37844 schema:issueNumber 7610
    160 rdf:type schema:PublicationIssue
    161 Nc136d9b9b3be41569cddcac232948bab schema:name Springer Nature - SN SciGraph project
    162 rdf:type schema:Organization
    163 Nc42e94ce43834e18a682cc5052a7333a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    164 schema:name Disease Susceptibility
    165 rdf:type schema:DefinedTerm
    166 Nc4688e9ef5844878bf3c0df9c243115a rdf:first sg:person.016311745377.96
    167 rdf:rest rdf:nil
    168 Nd57f16dbcae34402a28e83bdd1a58901 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    169 schema:name Disease
    170 rdf:type schema:DefinedTerm
    171 Nf0ba905f0a51402997f3e6bd4a0194f0 rdf:first sg:person.0777235637.90
    172 rdf:rest N630bc7ee9715441990beef64ab544ffa
    173 Nf983b8b889d9469ba8e1e172d9ea24c8 schema:name dimensions_id
    174 schema:value pub.1013019120
    175 rdf:type schema:PropertyValue
    176 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    177 schema:name Biological Sciences
    178 rdf:type schema:DefinedTerm
    179 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    180 schema:name Genetics
    181 rdf:type schema:DefinedTerm
    182 sg:journal.1018957 schema:issn 0028-0836
    183 1476-4687
    184 schema:name Nature
    185 schema:publisher Springer Nature
    186 rdf:type schema:Periodical
    187 sg:person.01023217043.95 schema:affiliation grid-institutes:grid.266100.3
    188 schema:familyName Dorrestein
    189 schema:givenName Pieter C.
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023217043.95
    191 rdf:type schema:Person
    192 sg:person.01027242434.10 schema:affiliation grid-institutes:grid.266100.3
    193 schema:familyName Debelius
    194 schema:givenName Justine
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027242434.10
    196 rdf:type schema:Person
    197 sg:person.01161573701.69 schema:affiliation grid-institutes:grid.266100.3
    198 schema:familyName Xu
    199 schema:givenName Zhenjiang Z.
    200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161573701.69
    201 rdf:type schema:Person
    202 sg:person.01332531426.34 schema:affiliation grid-institutes:None
    203 schema:familyName Quinn
    204 schema:givenName Robert A.
    205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332531426.34
    206 rdf:type schema:Person
    207 sg:person.016311745377.96 schema:affiliation grid-institutes:None
    208 schema:familyName Knight
    209 schema:givenName Rob
    210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016311745377.96
    211 rdf:type schema:Person
    212 sg:person.0727626545.37 schema:affiliation grid-institutes:grid.170205.1
    213 schema:familyName Gilbert
    214 schema:givenName Jack A.
    215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727626545.37
    216 rdf:type schema:Person
    217 sg:person.07541460031.01 schema:affiliation grid-institutes:None
    218 schema:familyName Garg
    219 schema:givenName Neha
    220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07541460031.01
    221 rdf:type schema:Person
    222 sg:person.07611006373.15 schema:affiliation grid-institutes:None
    223 schema:familyName Morton
    224 schema:givenName James
    225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07611006373.15
    226 rdf:type schema:Person
    227 sg:person.0777235637.90 schema:affiliation grid-institutes:grid.451303.0
    228 schema:familyName Jansson
    229 schema:givenName Janet K.
    230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777235637.90
    231 rdf:type schema:Person
    232 sg:pub.10.1038/4441022a schema:sameAs https://app.dimensions.ai/details/publication/pub.1018798093
    233 https://doi.org/10.1038/4441022a
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1038/clpt.2013.157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029971898
    236 https://doi.org/10.1038/clpt.2013.157
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1038/ismej.2010.92 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039284129
    239 https://doi.org/10.1038/ismej.2010.92
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1038/ismej.2014.32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014154397
    242 https://doi.org/10.1038/ismej.2014.32
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1038/ismej.2015.207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027316470
    245 https://doi.org/10.1038/ismej.2015.207
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1038/nature05414 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023893418
    248 https://doi.org/10.1038/nature05414
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1038/nature06244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009917183
    251 https://doi.org/10.1038/nature06244
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1038/nature07540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030170002
    254 https://doi.org/10.1038/nature07540
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1038/nature08821 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050498034
    257 https://doi.org/10.1038/nature08821
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1038/nature09944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026204536
    260 https://doi.org/10.1038/nature09944
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1038/nature11053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052378845
    263 https://doi.org/10.1038/nature11053
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1038/nature11234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007740093
    266 https://doi.org/10.1038/nature11234
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1038/nature12480 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000291686
    269 https://doi.org/10.1038/nature12480
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1038/nature13178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022430209
    272 https://doi.org/10.1038/nature13178
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1038/nature13828 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004780748
    275 https://doi.org/10.1038/nature13828
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1038/nature15766 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014535385
    278 https://doi.org/10.1038/nature15766
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1038/nbt.2676 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034019934
    281 https://doi.org/10.1038/nbt.2676
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1038/nm.3145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004485531
    284 https://doi.org/10.1038/nm.3145
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1038/nm.3914 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009083133
    287 https://doi.org/10.1038/nm.3914
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1038/nm.4039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053033249
    290 https://doi.org/10.1038/nm.4039
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1038/nmeth.1499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006708540
    293 https://doi.org/10.1038/nmeth.1499
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1038/nmeth.1650 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005440831
    296 https://doi.org/10.1038/nmeth.1650
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1038/nrd.2016.32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024095766
    299 https://doi.org/10.1038/nrd.2016.32
    300 rdf:type schema:CreativeWork
    301 sg:pub.10.1038/srep08275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048309241
    302 https://doi.org/10.1038/srep08275
    303 rdf:type schema:CreativeWork
    304 sg:pub.10.1186/1471-2164-16-s7-s4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010638051
    305 https://doi.org/10.1186/1471-2164-16-s7-s4
    306 rdf:type schema:CreativeWork
    307 sg:pub.10.1186/2047-217x-2-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022546943
    308 https://doi.org/10.1186/2047-217x-2-16
    309 rdf:type schema:CreativeWork
    310 sg:pub.10.1186/s13059-014-0531-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1034675947
    311 https://doi.org/10.1186/s13059-014-0531-y
    312 rdf:type schema:CreativeWork
    313 sg:pub.10.1186/s13059-014-0550-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015222646
    314 https://doi.org/10.1186/s13059-014-0550-8
    315 rdf:type schema:CreativeWork
    316 sg:pub.10.1186/s13059-015-0677-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050860166
    317 https://doi.org/10.1186/s13059-015-0677-2
    318 rdf:type schema:CreativeWork
    319 sg:pub.10.1186/s13059-015-0841-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052977184
    320 https://doi.org/10.1186/s13059-015-0841-8
    321 rdf:type schema:CreativeWork
    322 sg:pub.10.1186/s40168-015-0070-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052787542
    323 https://doi.org/10.1186/s40168-015-0070-0
    324 rdf:type schema:CreativeWork
    325 sg:pub.10.4056/sigs.1433550 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015489166
    326 https://doi.org/10.4056/sigs.1433550
    327 rdf:type schema:CreativeWork
    328 grid-institutes:None schema:alternateName Center for Microbiome Innovation, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA
    329 Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, 92093, San Diego, La Jolla, California, USA
    330 Department of Computer Science and Engineering, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA
    331 schema:name Center for Microbiome Innovation, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA
    332 Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, 92093, San Diego, La Jolla, California, USA
    333 Department of Computer Science and Engineering, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA
    334 Department of Pediatrics, University of California, San Diego School of Medicine, 92093, La Jolla, California, USA
    335 Department of Pharmacology, University of California, 92093, San Diego, La Jolla, California, USA
    336 rdf:type schema:Organization
    337 grid-institutes:grid.170205.1 schema:alternateName Department of Surgery, University of Chicago, 60637, Chicago, Illinois, USA
    338 schema:name Department of Surgery, University of Chicago, 60637, Chicago, Illinois, USA
    339 rdf:type schema:Organization
    340 grid-institutes:grid.266100.3 schema:alternateName Department of Pediatrics, University of California, San Diego School of Medicine, 92093, La Jolla, California, USA
    341 schema:name Center for Microbiome Innovation, Jacobs School of Engineering, University of California, 92093, San Diego, La Jolla, California, USA
    342 Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, 92093, San Diego, La Jolla, California, USA
    343 Department of Pediatrics, University of California, San Diego School of Medicine, 92093, La Jolla, California, USA
    344 Department of Pharmacology, University of California, 92093, San Diego, La Jolla, California, USA
    345 rdf:type schema:Organization
    346 grid-institutes:grid.451303.0 schema:alternateName Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, 99354, Richland, Washington, USA
    347 schema:name Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, 99354, Richland, Washington, USA
    348 rdf:type schema:Organization
     




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


    ...