A mathematical model to estimate cholesterylester transfer protein (CETP) triglycerides flux in human plasma View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Martin Jansen, Gerhard Puetz, Michael M. Hoffmann, Karl Winkler

ABSTRACT

BACKGROUND: Cholesterylester transfer protein (CETP) modulates the composition of various lipoproteins associated with cardiovascular disease. Despite its central role in lipoprotein metabolism, its mode of action is still not fully understood. Here we present a simple way to estimate CETP-mediated lipid fluxes between different lipoprotein fractions. RESULTS: The model derived adequately describes the observed findings, especially regarding low- and high dense lipoproteins (LDL and HDL), delivering correlation coefficients of R2 = 0.567 (p < 0.001) and R2 = 0.466 (p < 0.001), respectively. These estimated fluxes correlate best among all other measured concentrations and 'lipid per lipoprotein' ratios to the observed fluxes. CONCLUSION: Our model approach is independent of CETP-action's exact mechanistic mode. It is simple and easy to apply, and may be a useful tool in revealing CETP's ambiguous role in lipid metabolism. The model mirrors a diffusion-like exchange of triglycerides between lipoproteins. Cholesteryl ester and triglyceride concentrations measured in HDL, LDL and VLDL are sufficient to apply the model on a plasma sample. More... »

PAGES

12

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12918-019-0679-x

DOI

http://dx.doi.org/10.1186/s12918-019-0679-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111593657

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30670016


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/2008/1101", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical Biochemistry and Metabolomics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Freiburg", 
          "id": "https://www.grid.ac/institutes/grid.5963.9", 
          "name": [
            "Institute of Clinical Chemistry and Laboratory Medicine, Medical Centre - University of Freiburg, Freiburg im Breisgau, Germany", 
            "Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jansen", 
        "givenName": "Martin", 
        "id": "sg:person.01362517214.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362517214.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Freiburg", 
          "id": "https://www.grid.ac/institutes/grid.5963.9", 
          "name": [
            "Institute of Clinical Chemistry and Laboratory Medicine, Medical Centre - University of Freiburg, Freiburg im Breisgau, Germany", 
            "Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Puetz", 
        "givenName": "Gerhard", 
        "id": "sg:person.01220524365.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220524365.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Freiburg", 
          "id": "https://www.grid.ac/institutes/grid.5963.9", 
          "name": [
            "Institute of Clinical Chemistry and Laboratory Medicine, Medical Centre - University of Freiburg, Freiburg im Breisgau, Germany", 
            "Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hoffmann", 
        "givenName": "Michael M.", 
        "id": "sg:person.0647754166.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647754166.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Freiburg", 
          "id": "https://www.grid.ac/institutes/grid.5963.9", 
          "name": [
            "Institute of Clinical Chemistry and Laboratory Medicine, Medical Centre - University of Freiburg, Freiburg im Breisgau, Germany", 
            "Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Winkler", 
        "givenName": "Karl", 
        "id": "sg:person.01215522151.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215522151.72"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1440-1681.1994.tb02569.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005647393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jsb.2016.02.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006631464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.m300420-jlr200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009589824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4137/cmc.s32667", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016179239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1003509", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022422416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.m300063-jlr200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029227266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biochi.2012.05.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029345177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/clc.4960141305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030506393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/clc.4960141305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030506393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nsmb1197", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032101297", 
          "https://doi.org/10.1038/nsmb1197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci114397", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032597775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1006/bulm.2001.0267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033683397", 
          "https://doi.org/10.1006/bulm.2001.0267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atherosclerosis.2003.08.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037866684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.m900015-jlr200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044516068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/oby.2006.94", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045112857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.r027011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048897087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1000079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052113179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-4838(90)90100-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052788745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-4838(90)90100-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052788745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11538-008-9347-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052799765", 
          "https://doi.org/10.1007/s11538-008-9347-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/cs0680411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056722461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/cs0680411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056722461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.16.12.1430", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063334187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.16.6.763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063334283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.m058446", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064192796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080098059", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082637721", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082831497", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082974349", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083379481", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Cholesterylester transfer protein (CETP) modulates the composition of various lipoproteins associated with cardiovascular disease. Despite its central role in lipoprotein metabolism, its mode of action is still not fully understood. Here we present a simple way to estimate CETP-mediated lipid fluxes between different lipoprotein fractions.\nRESULTS: The model derived adequately describes the observed findings, especially regarding low- and high dense lipoproteins (LDL and HDL), delivering correlation coefficients of R2\u2009=\u20090.567 (p\u2009<\u20090.001) and R2\u2009=\u20090.466 (p\u2009<\u20090.001), respectively. These estimated fluxes correlate best among all other measured concentrations and 'lipid per lipoprotein' ratios to the observed fluxes.\nCONCLUSION: Our model approach is independent of CETP-action's exact mechanistic mode. It is simple and easy to apply, and may be a useful tool in revealing CETP's ambiguous role in lipid metabolism. The model mirrors a diffusion-like exchange of triglycerides between lipoproteins. Cholesteryl ester and triglyceride concentrations measured in HDL, LDL and VLDL are sufficient to apply the model on a plasma sample.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12918-019-0679-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1327442", 
        "issn": [
          "1752-0509"
        ], 
        "name": "BMC Systems Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "13"
      }
    ], 
    "name": "A mathematical model to estimate cholesterylester transfer protein (CETP) triglycerides flux in human plasma", 
    "pagination": "12", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "11bfb6ca3489f50b4151273033fde6728b6a89b90f3ef86a9564511fe1087b2b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30670016"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101301827"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12918-019-0679-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111593657"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12918-019-0679-x", 
      "https://app.dimensions.ai/details/publication/pub.1111593657"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:57", 
    "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/v90/0000000325_0000000325/records_100812_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12918-019-0679-x"
  }
]
 

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/s12918-019-0679-x'

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/s12918-019-0679-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12918-019-0679-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12918-019-0679-x'


 

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

169 TRIPLES      21 PREDICATES      56 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12918-019-0679-x schema:about anzsrc-for:11
2 anzsrc-for:1101
3 schema:author Nc09107a2977a487e92490ec61fbee409
4 schema:citation sg:pub.10.1006/bulm.2001.0267
5 sg:pub.10.1007/s11538-008-9347-9
6 sg:pub.10.1038/nsmb1197
7 https://app.dimensions.ai/details/publication/pub.1080098059
8 https://app.dimensions.ai/details/publication/pub.1082637721
9 https://app.dimensions.ai/details/publication/pub.1082831497
10 https://app.dimensions.ai/details/publication/pub.1082974349
11 https://app.dimensions.ai/details/publication/pub.1083379481
12 https://doi.org/10.1002/clc.4960141305
13 https://doi.org/10.1016/0167-4838(90)90100-t
14 https://doi.org/10.1016/j.atherosclerosis.2003.08.025
15 https://doi.org/10.1016/j.biochi.2012.05.024
16 https://doi.org/10.1016/j.jsb.2016.02.016
17 https://doi.org/10.1038/oby.2006.94
18 https://doi.org/10.1042/cs0680411
19 https://doi.org/10.1111/j.1440-1681.1994.tb02569.x
20 https://doi.org/10.1161/01.atv.16.12.1430
21 https://doi.org/10.1161/01.atv.16.6.763
22 https://doi.org/10.1172/jci114397
23 https://doi.org/10.1194/jlr.m058446
24 https://doi.org/10.1194/jlr.m300063-jlr200
25 https://doi.org/10.1194/jlr.m300420-jlr200
26 https://doi.org/10.1194/jlr.m900015-jlr200
27 https://doi.org/10.1194/jlr.r027011
28 https://doi.org/10.1371/journal.pcbi.1000079
29 https://doi.org/10.1371/journal.pcbi.1003509
30 https://doi.org/10.4137/cmc.s32667
31 schema:datePublished 2019-12
32 schema:datePublishedReg 2019-12-01
33 schema:description BACKGROUND: Cholesterylester transfer protein (CETP) modulates the composition of various lipoproteins associated with cardiovascular disease. Despite its central role in lipoprotein metabolism, its mode of action is still not fully understood. Here we present a simple way to estimate CETP-mediated lipid fluxes between different lipoprotein fractions. RESULTS: The model derived adequately describes the observed findings, especially regarding low- and high dense lipoproteins (LDL and HDL), delivering correlation coefficients of R2 = 0.567 (p < 0.001) and R2 = 0.466 (p < 0.001), respectively. These estimated fluxes correlate best among all other measured concentrations and 'lipid per lipoprotein' ratios to the observed fluxes. CONCLUSION: Our model approach is independent of CETP-action's exact mechanistic mode. It is simple and easy to apply, and may be a useful tool in revealing CETP's ambiguous role in lipid metabolism. The model mirrors a diffusion-like exchange of triglycerides between lipoproteins. Cholesteryl ester and triglyceride concentrations measured in HDL, LDL and VLDL are sufficient to apply the model on a plasma sample.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf N0f980a00979342a39b8066ce33a065e2
38 Nf70a1c9305054a50b49164ce83e022ba
39 sg:journal.1327442
40 schema:name A mathematical model to estimate cholesterylester transfer protein (CETP) triglycerides flux in human plasma
41 schema:pagination 12
42 schema:productId N99358f8d4f854c8a8a3be6c7cc1915dd
43 Nda5328a41b744001a7a57e5dedf272f8
44 Nefe55277083e483cb54b2869de0db902
45 Nfd1e206dd5b84b2fb2c30bf9db0089c9
46 Nfeaf32d2e98b40ba9d6fb2512dfde298
47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111593657
48 https://doi.org/10.1186/s12918-019-0679-x
49 schema:sdDatePublished 2019-04-11T08:57
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher N0989a2674b7840339bda0a398dd8d8a9
52 schema:url https://link.springer.com/10.1186%2Fs12918-019-0679-x
53 sgo:license sg:explorer/license/
54 sgo:sdDataset articles
55 rdf:type schema:ScholarlyArticle
56 N0989a2674b7840339bda0a398dd8d8a9 schema:name Springer Nature - SN SciGraph project
57 rdf:type schema:Organization
58 N0f980a00979342a39b8066ce33a065e2 schema:volumeNumber 13
59 rdf:type schema:PublicationVolume
60 N6e23ec6d8fa94c7ea43787b21fc8be47 rdf:first sg:person.0647754166.15
61 rdf:rest Ne6d2123d8fd045d0886ecf415b077864
62 N99358f8d4f854c8a8a3be6c7cc1915dd schema:name pubmed_id
63 schema:value 30670016
64 rdf:type schema:PropertyValue
65 Nc09107a2977a487e92490ec61fbee409 rdf:first sg:person.01362517214.83
66 rdf:rest Ndbd57f236e1b45629163ef81a3ad9b23
67 Nda5328a41b744001a7a57e5dedf272f8 schema:name readcube_id
68 schema:value 11bfb6ca3489f50b4151273033fde6728b6a89b90f3ef86a9564511fe1087b2b
69 rdf:type schema:PropertyValue
70 Ndbd57f236e1b45629163ef81a3ad9b23 rdf:first sg:person.01220524365.53
71 rdf:rest N6e23ec6d8fa94c7ea43787b21fc8be47
72 Ne6d2123d8fd045d0886ecf415b077864 rdf:first sg:person.01215522151.72
73 rdf:rest rdf:nil
74 Nefe55277083e483cb54b2869de0db902 schema:name dimensions_id
75 schema:value pub.1111593657
76 rdf:type schema:PropertyValue
77 Nf70a1c9305054a50b49164ce83e022ba schema:issueNumber 1
78 rdf:type schema:PublicationIssue
79 Nfd1e206dd5b84b2fb2c30bf9db0089c9 schema:name nlm_unique_id
80 schema:value 101301827
81 rdf:type schema:PropertyValue
82 Nfeaf32d2e98b40ba9d6fb2512dfde298 schema:name doi
83 schema:value 10.1186/s12918-019-0679-x
84 rdf:type schema:PropertyValue
85 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
86 schema:name Medical and Health Sciences
87 rdf:type schema:DefinedTerm
88 anzsrc-for:1101 schema:inDefinedTermSet anzsrc-for:
89 schema:name Medical Biochemistry and Metabolomics
90 rdf:type schema:DefinedTerm
91 sg:journal.1327442 schema:issn 1752-0509
92 schema:name BMC Systems Biology
93 rdf:type schema:Periodical
94 sg:person.01215522151.72 schema:affiliation https://www.grid.ac/institutes/grid.5963.9
95 schema:familyName Winkler
96 schema:givenName Karl
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215522151.72
98 rdf:type schema:Person
99 sg:person.01220524365.53 schema:affiliation https://www.grid.ac/institutes/grid.5963.9
100 schema:familyName Puetz
101 schema:givenName Gerhard
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220524365.53
103 rdf:type schema:Person
104 sg:person.01362517214.83 schema:affiliation https://www.grid.ac/institutes/grid.5963.9
105 schema:familyName Jansen
106 schema:givenName Martin
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362517214.83
108 rdf:type schema:Person
109 sg:person.0647754166.15 schema:affiliation https://www.grid.ac/institutes/grid.5963.9
110 schema:familyName Hoffmann
111 schema:givenName Michael M.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647754166.15
113 rdf:type schema:Person
114 sg:pub.10.1006/bulm.2001.0267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033683397
115 https://doi.org/10.1006/bulm.2001.0267
116 rdf:type schema:CreativeWork
117 sg:pub.10.1007/s11538-008-9347-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052799765
118 https://doi.org/10.1007/s11538-008-9347-9
119 rdf:type schema:CreativeWork
120 sg:pub.10.1038/nsmb1197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032101297
121 https://doi.org/10.1038/nsmb1197
122 rdf:type schema:CreativeWork
123 https://app.dimensions.ai/details/publication/pub.1080098059 schema:CreativeWork
124 https://app.dimensions.ai/details/publication/pub.1082637721 schema:CreativeWork
125 https://app.dimensions.ai/details/publication/pub.1082831497 schema:CreativeWork
126 https://app.dimensions.ai/details/publication/pub.1082974349 schema:CreativeWork
127 https://app.dimensions.ai/details/publication/pub.1083379481 schema:CreativeWork
128 https://doi.org/10.1002/clc.4960141305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030506393
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/0167-4838(90)90100-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1052788745
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.atherosclerosis.2003.08.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037866684
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.biochi.2012.05.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029345177
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.jsb.2016.02.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006631464
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1038/oby.2006.94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045112857
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1042/cs0680411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056722461
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1111/j.1440-1681.1994.tb02569.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005647393
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1161/01.atv.16.12.1430 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063334187
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1161/01.atv.16.6.763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063334283
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1172/jci114397 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032597775
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1194/jlr.m058446 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064192796
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1194/jlr.m300063-jlr200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029227266
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1194/jlr.m300420-jlr200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009589824
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1194/jlr.m900015-jlr200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044516068
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1194/jlr.r027011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048897087
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1371/journal.pcbi.1000079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052113179
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1371/journal.pcbi.1003509 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022422416
163 rdf:type schema:CreativeWork
164 https://doi.org/10.4137/cmc.s32667 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016179239
165 rdf:type schema:CreativeWork
166 https://www.grid.ac/institutes/grid.5963.9 schema:alternateName University of Freiburg
167 schema:name Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
168 Institute of Clinical Chemistry and Laboratory Medicine, Medical Centre - University of Freiburg, Freiburg im Breisgau, Germany
169 rdf:type schema:Organization
 




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


...