A Metadata description of the data in "A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-12

AUTHORS

Julian L Griffin, Helen J Atherton, Christoph Steinbeck, Reza M Salek

ABSTRACT

BACKGROUND: Metabolomics is a rapidly developing functional genomic tool that has a wide range of applications in diverse fields in biology and medicine. However, unlike transcriptomics and proteomics there is currently no central repository for the depositing of data despite efforts by the Metabolomics Standard Initiative (MSI) to develop a standardised description of a metabolomic experiment. FINDINGS: In this manuscript we describe how the MSI description has been applied to a published dataset involving the identification of cross-species metabolic biomarkers associated with type II diabetes. The study describes sample collection of urine from mice, rats and human volunteers, and the subsequent acquisition of data by high resolution 1H NMR spectroscopy. The metadata is described to demonstrate how the MSI descriptions could be applied in a manuscript and the spectra have also been made available for the mouse and rat studies to allow others to process the data. CONCLUSIONS: The intention of this manuscript is to stimulate discussion as to whether the MSI description is sufficient to describe the metadata associated with metabolomic experiments and encourage others to make their data available to other researchers. More... »

PAGES

272

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1756-0500-4-272

DOI

http://dx.doi.org/10.1186/1756-0500-4-272

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047120414

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21801423


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/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Cambridge", 
          "id": "https://www.grid.ac/institutes/grid.5335.0", 
          "name": [
            "MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, CB1 9NL, Cambridge, UK", 
            "The Department of Biochemistry, University of Cambridge, Tennis Court Road, CB2 1GA, Cambridge, UK", 
            "The Cambridge Systems Biology Centre, University of Cambridge, Tennis Court Road, CB2 1GA, Cambridge, UK", 
            "The MRC Centre for Obesity and Related Diseases (MRC CORD), the University of Cambridge Metabolic Research Laboratories, Addenbrooke's Hospital, CB2 0QQ, Cambridge, 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": "University of Cambridge", 
          "id": "https://www.grid.ac/institutes/grid.5335.0", 
          "name": [
            "MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, CB1 9NL, Cambridge, UK", 
            "The Department of Biochemistry, University of Cambridge, Tennis Court Road, CB2 1GA, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Atherton", 
        "givenName": "Helen J", 
        "id": "sg:person.0772752667.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772752667.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "European Bioinformatics Institute", 
          "id": "https://www.grid.ac/institutes/grid.225360.0", 
          "name": [
            "The European Bioinformatics Institute, Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridgeshire, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Steinbeck", 
        "givenName": "Christoph", 
        "id": "sg:person.012610137527.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012610137527.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "European Bioinformatics Institute", 
          "id": "https://www.grid.ac/institutes/grid.225360.0", 
          "name": [
            "MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, CB1 9NL, Cambridge, UK", 
            "The Department of Biochemistry, University of Cambridge, Tennis Court Road, CB2 1GA, Cambridge, UK", 
            "The European Bioinformatics Institute, Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridgeshire, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salek", 
        "givenName": "Reza M", 
        "id": "sg:person.01344720244.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344720244.70"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0092-8674(00)81294-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009964206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-313x.2007.03387.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014195676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11306-007-0077-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019689157", 
          "https://doi.org/10.1007/s11306-007-0077-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/physiolgenomics.00194.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026562336"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11306-007-0068-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027022742", 
          "https://doi.org/10.1007/s11306-007-0068-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11306-007-0070-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028319004", 
          "https://doi.org/10.1007/s11306-007-0070-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0807-846b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028899298", 
          "https://doi.org/10.1038/nbt0807-846b"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01221856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030385169", 
          "https://doi.org/10.1007/bf01221856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01221856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030385169", 
          "https://doi.org/10.1007/bf01221856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01221856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030385169", 
          "https://doi.org/10.1007/bf01221856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gm159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032403439", 
          "https://doi.org/10.1186/gm159"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1329", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034386256", 
          "https://doi.org/10.1038/nbt1329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4020-6754-9_6552", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051155383", 
          "https://doi.org/10.1007/978-1-4020-6754-9_6552"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-12", 
    "datePublishedReg": "2011-12-01", 
    "description": "BACKGROUND: Metabolomics is a rapidly developing functional genomic tool that has a wide range of applications in diverse fields in biology and medicine. However, unlike transcriptomics and proteomics there is currently no central repository for the depositing of data despite efforts by the Metabolomics Standard Initiative (MSI) to develop a standardised description of a metabolomic experiment.\nFINDINGS: In this manuscript we describe how the MSI description has been applied to a published dataset involving the identification of cross-species metabolic biomarkers associated with type II diabetes. The study describes sample collection of urine from mice, rats and human volunteers, and the subsequent acquisition of data by high resolution 1H NMR spectroscopy. The metadata is described to demonstrate how the MSI descriptions could be applied in a manuscript and the spectra have also been made available for the mouse and rat studies to allow others to process the data.\nCONCLUSIONS: The intention of this manuscript is to stimulate discussion as to whether the MSI description is sufficient to describe the metadata associated with metabolomic experiments and encourage others to make their data available to other researchers.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1756-0500-4-272", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2782025", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2785012", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1039457", 
        "issn": [
          "1756-0500"
        ], 
        "name": "BMC Research Notes", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "A Metadata description of the data in \"A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human.\"", 
    "pagination": "272", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e0778395d45e3aa52cdb5c302772f644e9693910b300458e81b7b20addc4dce2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21801423"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101462768"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1756-0500-4-272"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1047120414"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1756-0500-4-272", 
      "https://app.dimensions.ai/details/publication/pub.1047120414"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:49", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000347_0000000347/records_89785_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2F1756-0500-4-272"
  }
]
 

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.10.1186/1756-0500-4-272'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-4-272'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-4-272'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1756-0500-4-272'


 

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

142 TRIPLES      21 PREDICATES      40 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1756-0500-4-272 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author Nce11cd04b9f0418db784c2b48a5d018e
4 schema:citation sg:pub.10.1007/978-1-4020-6754-9_6552
5 sg:pub.10.1007/bf01221856
6 sg:pub.10.1007/s11306-007-0068-0
7 sg:pub.10.1007/s11306-007-0070-6
8 sg:pub.10.1007/s11306-007-0077-z
9 sg:pub.10.1038/nbt0807-846b
10 sg:pub.10.1038/nbt1329
11 sg:pub.10.1186/gm159
12 https://doi.org/10.1016/s0092-8674(00)81294-5
13 https://doi.org/10.1111/j.1365-313x.2007.03387.x
14 https://doi.org/10.1152/physiolgenomics.00194.2006
15 schema:datePublished 2011-12
16 schema:datePublishedReg 2011-12-01
17 schema:description BACKGROUND: Metabolomics is a rapidly developing functional genomic tool that has a wide range of applications in diverse fields in biology and medicine. However, unlike transcriptomics and proteomics there is currently no central repository for the depositing of data despite efforts by the Metabolomics Standard Initiative (MSI) to develop a standardised description of a metabolomic experiment. FINDINGS: In this manuscript we describe how the MSI description has been applied to a published dataset involving the identification of cross-species metabolic biomarkers associated with type II diabetes. The study describes sample collection of urine from mice, rats and human volunteers, and the subsequent acquisition of data by high resolution 1H NMR spectroscopy. The metadata is described to demonstrate how the MSI descriptions could be applied in a manuscript and the spectra have also been made available for the mouse and rat studies to allow others to process the data. CONCLUSIONS: The intention of this manuscript is to stimulate discussion as to whether the MSI description is sufficient to describe the metadata associated with metabolomic experiments and encourage others to make their data available to other researchers.
18 schema:genre research_article
19 schema:inLanguage en
20 schema:isAccessibleForFree true
21 schema:isPartOf N243c2eb8ee79415fa1e8f33e99c02a73
22 N2d6fd7d08aaf4ff497b726380426d36a
23 sg:journal.1039457
24 schema:name A Metadata description of the data in "A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human."
25 schema:pagination 272
26 schema:productId N028aaa5f40474d90b20b7dcc85e33167
27 N2cb63995cd7b4687a751051d5b080486
28 Na750bf135f2745a196f6a3bec0c7bc23
29 Nabdd091f853f435eba701bff2e78741a
30 Nf82903ee88924f22bf58ebf29cbbf460
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047120414
32 https://doi.org/10.1186/1756-0500-4-272
33 schema:sdDatePublished 2019-04-11T09:49
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N6d8be3b34b2a4b53915659c6d27d2595
36 schema:url https://link.springer.com/10.1186%2F1756-0500-4-272
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N028aaa5f40474d90b20b7dcc85e33167 schema:name nlm_unique_id
41 schema:value 101462768
42 rdf:type schema:PropertyValue
43 N032839f6b8054a2288a65fc03bb9d807 rdf:first sg:person.012610137527.56
44 rdf:rest Ndf20590b17a341989391157a9016499f
45 N243c2eb8ee79415fa1e8f33e99c02a73 schema:issueNumber 1
46 rdf:type schema:PublicationIssue
47 N2cb63995cd7b4687a751051d5b080486 schema:name dimensions_id
48 schema:value pub.1047120414
49 rdf:type schema:PropertyValue
50 N2d6fd7d08aaf4ff497b726380426d36a schema:volumeNumber 4
51 rdf:type schema:PublicationVolume
52 N6d8be3b34b2a4b53915659c6d27d2595 schema:name Springer Nature - SN SciGraph project
53 rdf:type schema:Organization
54 N8370a2d06e4c437680768dbd610ee6e8 rdf:first sg:person.0772752667.42
55 rdf:rest N032839f6b8054a2288a65fc03bb9d807
56 Na750bf135f2745a196f6a3bec0c7bc23 schema:name doi
57 schema:value 10.1186/1756-0500-4-272
58 rdf:type schema:PropertyValue
59 Nabdd091f853f435eba701bff2e78741a schema:name pubmed_id
60 schema:value 21801423
61 rdf:type schema:PropertyValue
62 Nce11cd04b9f0418db784c2b48a5d018e rdf:first sg:person.012451221647.25
63 rdf:rest N8370a2d06e4c437680768dbd610ee6e8
64 Ndf20590b17a341989391157a9016499f rdf:first sg:person.01344720244.70
65 rdf:rest rdf:nil
66 Nf82903ee88924f22bf58ebf29cbbf460 schema:name readcube_id
67 schema:value e0778395d45e3aa52cdb5c302772f644e9693910b300458e81b7b20addc4dce2
68 rdf:type schema:PropertyValue
69 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
70 schema:name Physical Sciences
71 rdf:type schema:DefinedTerm
72 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
73 schema:name Other Physical Sciences
74 rdf:type schema:DefinedTerm
75 sg:grant.2782025 http://pending.schema.org/fundedItem sg:pub.10.1186/1756-0500-4-272
76 rdf:type schema:MonetaryGrant
77 sg:grant.2785012 http://pending.schema.org/fundedItem sg:pub.10.1186/1756-0500-4-272
78 rdf:type schema:MonetaryGrant
79 sg:journal.1039457 schema:issn 1756-0500
80 schema:name BMC Research Notes
81 rdf:type schema:Periodical
82 sg:person.012451221647.25 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
83 schema:familyName Griffin
84 schema:givenName Julian L
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012451221647.25
86 rdf:type schema:Person
87 sg:person.012610137527.56 schema:affiliation https://www.grid.ac/institutes/grid.225360.0
88 schema:familyName Steinbeck
89 schema:givenName Christoph
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012610137527.56
91 rdf:type schema:Person
92 sg:person.01344720244.70 schema:affiliation https://www.grid.ac/institutes/grid.225360.0
93 schema:familyName Salek
94 schema:givenName Reza M
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344720244.70
96 rdf:type schema:Person
97 sg:person.0772752667.42 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
98 schema:familyName Atherton
99 schema:givenName Helen J
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772752667.42
101 rdf:type schema:Person
102 sg:pub.10.1007/978-1-4020-6754-9_6552 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051155383
103 https://doi.org/10.1007/978-1-4020-6754-9_6552
104 rdf:type schema:CreativeWork
105 sg:pub.10.1007/bf01221856 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030385169
106 https://doi.org/10.1007/bf01221856
107 rdf:type schema:CreativeWork
108 sg:pub.10.1007/s11306-007-0068-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027022742
109 https://doi.org/10.1007/s11306-007-0068-0
110 rdf:type schema:CreativeWork
111 sg:pub.10.1007/s11306-007-0070-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028319004
112 https://doi.org/10.1007/s11306-007-0070-6
113 rdf:type schema:CreativeWork
114 sg:pub.10.1007/s11306-007-0077-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1019689157
115 https://doi.org/10.1007/s11306-007-0077-z
116 rdf:type schema:CreativeWork
117 sg:pub.10.1038/nbt0807-846b schema:sameAs https://app.dimensions.ai/details/publication/pub.1028899298
118 https://doi.org/10.1038/nbt0807-846b
119 rdf:type schema:CreativeWork
120 sg:pub.10.1038/nbt1329 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034386256
121 https://doi.org/10.1038/nbt1329
122 rdf:type schema:CreativeWork
123 sg:pub.10.1186/gm159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032403439
124 https://doi.org/10.1186/gm159
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/s0092-8674(00)81294-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009964206
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1111/j.1365-313x.2007.03387.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014195676
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1152/physiolgenomics.00194.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026562336
131 rdf:type schema:CreativeWork
132 https://www.grid.ac/institutes/grid.225360.0 schema:alternateName European Bioinformatics Institute
133 schema:name MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, CB1 9NL, Cambridge, UK
134 The Department of Biochemistry, University of Cambridge, Tennis Court Road, CB2 1GA, Cambridge, UK
135 The European Bioinformatics Institute, Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridgeshire, UK
136 rdf:type schema:Organization
137 https://www.grid.ac/institutes/grid.5335.0 schema:alternateName University of Cambridge
138 schema:name MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, CB1 9NL, Cambridge, UK
139 The Cambridge Systems Biology Centre, University of Cambridge, Tennis Court Road, CB2 1GA, Cambridge, UK
140 The Department of Biochemistry, University of Cambridge, Tennis Court Road, CB2 1GA, Cambridge, UK
141 The MRC Centre for Obesity and Related Diseases (MRC CORD), the University of Cambridge Metabolic Research Laboratories, Addenbrooke's Hospital, CB2 0QQ, Cambridge, UK
142 rdf:type schema:Organization
 




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


...