p21Cip1 plays a critical role in the physiological adaptation to fasting through activation of PPARα View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Elena Lopez-Guadamillas, Pablo J Fernandez-Marcos, Cristina Pantoja, Maribel Muñoz-Martin, Dolores Martínez, Gonzalo Gómez-López, Ramón Campos-Olivas, Angela M Valverde, Manuel Serrano

ABSTRACT

Fasting is a physiological stress that elicits well-known metabolic adaptations, however, little is known about the role of stress-responsive tumor suppressors in fasting. Here, we have examined the expression of several tumor suppressors upon fasting in mice. Interestingly, p21 mRNA is uniquely induced in all the tissues tested, particularly in liver and muscle (>10 fold), and this upregulation is independent of p53. Remarkably, in contrast to wild-type mice, p21-null mice become severely morbid after prolonged fasting. The defective adaptation to fasting of p21-null mice is associated to elevated energy expenditure, accelerated depletion of fat stores, and premature activation of protein catabolism in the muscle. Analysis of the liver transcriptome and cell-based assays revealed that the absence of p21 partially impairs the transcriptional program of PPARα, a key regulator of fasting metabolism. Finally, treatment of p21-null mice with a PPARα agonist substantially protects them from their accelerated loss of fat upon fasting. We conclude that p21 plays a relevant role in fasting adaptation through the positive regulation of PPARα. More... »

PAGES

34542

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep34542

DOI

http://dx.doi.org/10.1038/srep34542

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035095574

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27721423


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/2008/1116", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical Physiology", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adaptation, Physiological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cyclin-Dependent Kinase Inhibitor p21", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fasting", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mice", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mice, Mutant Strains", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "PPAR alpha", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tumor Suppressor Protein p53", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Spanish National Cancer Research Centre", 
          "id": "https://www.grid.ac/institutes/grid.7719.8", 
          "name": [
            "Tumor Suppression Group, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lopez-Guadamillas", 
        "givenName": "Elena", 
        "id": "sg:person.01344547377.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344547377.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Madrid Institute for Advanced Studies", 
          "id": "https://www.grid.ac/institutes/grid.429045.e", 
          "name": [
            "Tumor Suppression Group, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain.", 
            "Bioactive Products and Metabolic Syndrome Group, Madrid Institute of Advanced Studies (IMDEA) in Food, CEI UAM+CSIC, Madrid E28049, Spain."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fernandez-Marcos", 
        "givenName": "Pablo J", 
        "id": "sg:person.01077747776.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077747776.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Spanish National Cancer Research Centre", 
          "id": "https://www.grid.ac/institutes/grid.7719.8", 
          "name": [
            "Tumor Suppression Group, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pantoja", 
        "givenName": "Cristina", 
        "id": "sg:person.01005247100.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005247100.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Spanish National Cancer Research Centre", 
          "id": "https://www.grid.ac/institutes/grid.7719.8", 
          "name": [
            "Tumor Suppression Group, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mu\u00f1oz-Martin", 
        "givenName": "Maribel", 
        "id": "sg:person.0621143277.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621143277.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Spanish National Cancer Research Centre", 
          "id": "https://www.grid.ac/institutes/grid.7719.8", 
          "name": [
            "Flow Cytometry Unit, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mart\u00ednez", 
        "givenName": "Dolores", 
        "id": "sg:person.01320270120.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320270120.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Spanish National Cancer Research Centre", 
          "id": "https://www.grid.ac/institutes/grid.7719.8", 
          "name": [
            "Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain."
          ], 
          "type": "Organization"
        }, 
        "familyName": "G\u00f3mez-L\u00f3pez", 
        "givenName": "Gonzalo", 
        "id": "sg:person.0700636421.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700636421.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Spanish National Cancer Research Centre", 
          "id": "https://www.grid.ac/institutes/grid.7719.8", 
          "name": [
            "Spectroscopy and Nuclear Magnetic Resonance Unit, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Campos-Olivas", 
        "givenName": "Ram\u00f3n", 
        "id": "sg:person.01203250423.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203250423.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto de Salud Carlos III", 
          "id": "https://www.grid.ac/institutes/grid.413448.e", 
          "name": [
            "Instituto de Investigaciones Biom\u00e9dicas \"Alberto Sols\" (CSIC/UAM), Madrid E28029, Spain.", 
            "Centro de Investigaciones Biom\u00e9dicas en Red de Diabetes y Enfermedades Metab\u00f3licas Asociadas, ISCIII, Spain."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Valverde", 
        "givenName": "Angela M", 
        "id": "sg:person.01030711546.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030711546.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Spanish National Cancer Research Centre", 
          "id": "https://www.grid.ac/institutes/grid.7719.8", 
          "name": [
            "Tumor Suppression Group, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Serrano", 
        "givenName": "Manuel", 
        "id": "sg:person.013110175140.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013110175140.37"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1474-9726.2009.00532.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000170756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1474-9726.2009.00532.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000170756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tem.2012.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004596602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg3941", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008077621", 
          "https://doi.org/10.1038/nrg3941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.96.13.7473", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008746346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2014.10.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011565340"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbapap.2009.11.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012995331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2012.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013362580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.exger.2013.01.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018737307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023014918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0708100105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023141088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0092-8674(03)01075-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029609912"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2012.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030124536", 
          "https://doi.org/10.1038/nprot.2012.016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc2657", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031760843", 
          "https://doi.org/10.1038/nrc2657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc2657", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031760843", 
          "https://doi.org/10.1038/nrc2657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci6223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034662125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1621/nrs.13002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038187521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m113.494328", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041890696"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbadis.2013.05.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042711227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2007.376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045374897", 
          "https://doi.org/10.1038/nprot.2007.376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2015.05.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046769158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molmet.2014.02.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048276045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2009-10-3-r25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049583368", 
          "https://doi.org/10.1186/gb-2009-10-3-r25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.physiol.68.040104.105739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053060778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.physiol.68.040104.105739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053060778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1118357", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062452639"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2006-0644", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064248119"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "Fasting is a physiological stress that elicits well-known metabolic adaptations, however, little is known about the role of stress-responsive tumor suppressors in fasting. Here, we have examined the expression of several tumor suppressors upon fasting in mice. Interestingly, p21 mRNA is uniquely induced in all the tissues tested, particularly in liver and muscle (>10 fold), and this upregulation is independent of p53. Remarkably, in contrast to wild-type mice, p21-null mice become severely morbid after prolonged fasting. The defective adaptation to fasting of p21-null mice is associated to elevated energy expenditure, accelerated depletion of fat stores, and premature activation of protein catabolism in the muscle. Analysis of the liver transcriptome and cell-based assays revealed that the absence of p21 partially impairs the transcriptional program of PPAR\u03b1, a key regulator of fasting metabolism. Finally, treatment of p21-null mice with a PPAR\u03b1 agonist substantially protects them from their accelerated loss of fat upon fasting. We conclude that p21 plays a relevant role in fasting adaptation through the positive regulation of PPAR\u03b1.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/srep34542", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4456653", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "p21Cip1 plays a critical role in the physiological adaptation to fasting through activation of PPAR\u03b1", 
    "pagination": "34542", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a72ee0337b6286046f50e9e4c99aa49824094a4a406d120d0a591efbb5417db3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27721423"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep34542"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1035095574"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep34542", 
      "https://app.dimensions.ai/details/publication/pub.1035095574"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:49", 
    "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/v90/0000000001_0000000264/records_8669_00000550.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/srep/2016/161010/srep34542/full/srep34542.html"
  }
]
 

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/srep34542'

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/srep34542'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep34542'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep34542'


 

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

250 TRIPLES      21 PREDICATES      62 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep34542 schema:about N0b8c544662b34be3a1c16dd6468db553
2 N22e3ce70059643cf8fbcc2670cacfef7
3 Nae1581b3db624ecabbb0065e7f52a0b6
4 Nb498ce4f3b2b4f93a05a4e3166a5d58d
5 Nc66942d0621e4689880aaaa96fd6b5c3
6 Nd363da4bbe5744c1bf7656d17d21088f
7 Nd4154bc56f1046e7a4c220e0cc62fb91
8 Nd49aa30bd4e2454d82cd5e7b76b25750
9 Nfc7c360e5fe84791907d8a36b574e69b
10 anzsrc-for:11
11 anzsrc-for:1116
12 schema:author N674531268d4d4049a1ca6b477b215ae0
13 schema:citation sg:pub.10.1038/nprot.2007.376
14 sg:pub.10.1038/nprot.2012.016
15 sg:pub.10.1038/nrc2657
16 sg:pub.10.1038/nrg3941
17 sg:pub.10.1186/gb-2009-10-3-r25
18 https://doi.org/10.1016/j.bbadis.2013.05.012
19 https://doi.org/10.1016/j.bbapap.2009.11.023
20 https://doi.org/10.1016/j.cmet.2012.02.001
21 https://doi.org/10.1016/j.cmet.2015.05.012
22 https://doi.org/10.1016/j.exger.2013.01.009
23 https://doi.org/10.1016/j.jhep.2014.10.039
24 https://doi.org/10.1016/j.molmet.2014.02.002
25 https://doi.org/10.1016/j.tem.2012.05.001
26 https://doi.org/10.1016/s0092-8674(03)01075-4
27 https://doi.org/10.1073/pnas.0708100105
28 https://doi.org/10.1073/pnas.96.13.7473
29 https://doi.org/10.1074/jbc.m113.494328
30 https://doi.org/10.1093/bioinformatics/btp352
31 https://doi.org/10.1111/j.1474-9726.2009.00532.x
32 https://doi.org/10.1126/science.1118357
33 https://doi.org/10.1146/annurev.physiol.68.040104.105739
34 https://doi.org/10.1172/jci6223
35 https://doi.org/10.1210/en.2006-0644
36 https://doi.org/10.1621/nrs.13002
37 schema:datePublished 2016-12
38 schema:datePublishedReg 2016-12-01
39 schema:description Fasting is a physiological stress that elicits well-known metabolic adaptations, however, little is known about the role of stress-responsive tumor suppressors in fasting. Here, we have examined the expression of several tumor suppressors upon fasting in mice. Interestingly, p21 mRNA is uniquely induced in all the tissues tested, particularly in liver and muscle (>10 fold), and this upregulation is independent of p53. Remarkably, in contrast to wild-type mice, p21-null mice become severely morbid after prolonged fasting. The defective adaptation to fasting of p21-null mice is associated to elevated energy expenditure, accelerated depletion of fat stores, and premature activation of protein catabolism in the muscle. Analysis of the liver transcriptome and cell-based assays revealed that the absence of p21 partially impairs the transcriptional program of PPARα, a key regulator of fasting metabolism. Finally, treatment of p21-null mice with a PPARα agonist substantially protects them from their accelerated loss of fat upon fasting. We conclude that p21 plays a relevant role in fasting adaptation through the positive regulation of PPARα.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree true
43 schema:isPartOf N65b9ea2f0f26474db3c00f2124b7f377
44 Nd78cd6c404fd4ed2b94d91fce444e7f9
45 sg:journal.1045337
46 schema:name p21Cip1 plays a critical role in the physiological adaptation to fasting through activation of PPARα
47 schema:pagination 34542
48 schema:productId N0fc91b6c3e0a4d14ae6491b3efd32295
49 N41ee71f88b6249b289651cf4c748f125
50 N46ae94974c9c40d78f4c9e931699cf83
51 Nae29fdc0b8cd4ef784acbd6121491695
52 Naf21c7068977466e904747bf81466d76
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035095574
54 https://doi.org/10.1038/srep34542
55 schema:sdDatePublished 2019-04-10T16:49
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher N2ff1844d104247028898df84623f78eb
58 schema:url http://www.nature.com/srep/2016/161010/srep34542/full/srep34542.html
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N0b8c544662b34be3a1c16dd6468db553 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
63 schema:name PPAR alpha
64 rdf:type schema:DefinedTerm
65 N0fc91b6c3e0a4d14ae6491b3efd32295 schema:name readcube_id
66 schema:value a72ee0337b6286046f50e9e4c99aa49824094a4a406d120d0a591efbb5417db3
67 rdf:type schema:PropertyValue
68 N174af89534a342cd8b44ed8d46ef1cb3 rdf:first sg:person.01203250423.16
69 rdf:rest Nb7e2d88cd00e40498a363daac718435b
70 N22e3ce70059643cf8fbcc2670cacfef7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Male
72 rdf:type schema:DefinedTerm
73 N2ff1844d104247028898df84623f78eb schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 N41ee71f88b6249b289651cf4c748f125 schema:name nlm_unique_id
76 schema:value 101563288
77 rdf:type schema:PropertyValue
78 N46ae94974c9c40d78f4c9e931699cf83 schema:name dimensions_id
79 schema:value pub.1035095574
80 rdf:type schema:PropertyValue
81 N6324b0e00595433f8f978696497271c3 rdf:first sg:person.01320270120.12
82 rdf:rest N9f9df92de77a4f9b8e7aa16cf6540e3a
83 N65b9ea2f0f26474db3c00f2124b7f377 schema:volumeNumber 6
84 rdf:type schema:PublicationVolume
85 N674531268d4d4049a1ca6b477b215ae0 rdf:first sg:person.01344547377.87
86 rdf:rest Nfad8048933814ceeb3e085ba24f34245
87 N9f9df92de77a4f9b8e7aa16cf6540e3a rdf:first sg:person.0700636421.39
88 rdf:rest N174af89534a342cd8b44ed8d46ef1cb3
89 N9fc82958b5864bffbbd162276fb4dcf2 rdf:first sg:person.01005247100.64
90 rdf:rest Nb3e0a58d97e341f381c82982e9e8f9eb
91 Nae1581b3db624ecabbb0065e7f52a0b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Fasting
93 rdf:type schema:DefinedTerm
94 Nae29fdc0b8cd4ef784acbd6121491695 schema:name pubmed_id
95 schema:value 27721423
96 rdf:type schema:PropertyValue
97 Naf21c7068977466e904747bf81466d76 schema:name doi
98 schema:value 10.1038/srep34542
99 rdf:type schema:PropertyValue
100 Nb3e0a58d97e341f381c82982e9e8f9eb rdf:first sg:person.0621143277.05
101 rdf:rest N6324b0e00595433f8f978696497271c3
102 Nb498ce4f3b2b4f93a05a4e3166a5d58d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Cyclin-Dependent Kinase Inhibitor p21
104 rdf:type schema:DefinedTerm
105 Nb7e2d88cd00e40498a363daac718435b rdf:first sg:person.01030711546.34
106 rdf:rest Ne6f1684fff6149058c16622dd737a44f
107 Nc66942d0621e4689880aaaa96fd6b5c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Adaptation, Physiological
109 rdf:type schema:DefinedTerm
110 Nd363da4bbe5744c1bf7656d17d21088f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Tumor Suppressor Protein p53
112 rdf:type schema:DefinedTerm
113 Nd4154bc56f1046e7a4c220e0cc62fb91 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Animals
115 rdf:type schema:DefinedTerm
116 Nd49aa30bd4e2454d82cd5e7b76b25750 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Mice
118 rdf:type schema:DefinedTerm
119 Nd78cd6c404fd4ed2b94d91fce444e7f9 schema:issueNumber 1
120 rdf:type schema:PublicationIssue
121 Ne6f1684fff6149058c16622dd737a44f rdf:first sg:person.013110175140.37
122 rdf:rest rdf:nil
123 Nfad8048933814ceeb3e085ba24f34245 rdf:first sg:person.01077747776.21
124 rdf:rest N9fc82958b5864bffbbd162276fb4dcf2
125 Nfc7c360e5fe84791907d8a36b574e69b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Mice, Mutant Strains
127 rdf:type schema:DefinedTerm
128 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
129 schema:name Medical and Health Sciences
130 rdf:type schema:DefinedTerm
131 anzsrc-for:1116 schema:inDefinedTermSet anzsrc-for:
132 schema:name Medical Physiology
133 rdf:type schema:DefinedTerm
134 sg:grant.4456653 http://pending.schema.org/fundedItem sg:pub.10.1038/srep34542
135 rdf:type schema:MonetaryGrant
136 sg:journal.1045337 schema:issn 2045-2322
137 schema:name Scientific Reports
138 rdf:type schema:Periodical
139 sg:person.01005247100.64 schema:affiliation https://www.grid.ac/institutes/grid.7719.8
140 schema:familyName Pantoja
141 schema:givenName Cristina
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005247100.64
143 rdf:type schema:Person
144 sg:person.01030711546.34 schema:affiliation https://www.grid.ac/institutes/grid.413448.e
145 schema:familyName Valverde
146 schema:givenName Angela M
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030711546.34
148 rdf:type schema:Person
149 sg:person.01077747776.21 schema:affiliation https://www.grid.ac/institutes/grid.429045.e
150 schema:familyName Fernandez-Marcos
151 schema:givenName Pablo J
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077747776.21
153 rdf:type schema:Person
154 sg:person.01203250423.16 schema:affiliation https://www.grid.ac/institutes/grid.7719.8
155 schema:familyName Campos-Olivas
156 schema:givenName Ramón
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203250423.16
158 rdf:type schema:Person
159 sg:person.013110175140.37 schema:affiliation https://www.grid.ac/institutes/grid.7719.8
160 schema:familyName Serrano
161 schema:givenName Manuel
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013110175140.37
163 rdf:type schema:Person
164 sg:person.01320270120.12 schema:affiliation https://www.grid.ac/institutes/grid.7719.8
165 schema:familyName Martínez
166 schema:givenName Dolores
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320270120.12
168 rdf:type schema:Person
169 sg:person.01344547377.87 schema:affiliation https://www.grid.ac/institutes/grid.7719.8
170 schema:familyName Lopez-Guadamillas
171 schema:givenName Elena
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344547377.87
173 rdf:type schema:Person
174 sg:person.0621143277.05 schema:affiliation https://www.grid.ac/institutes/grid.7719.8
175 schema:familyName Muñoz-Martin
176 schema:givenName Maribel
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621143277.05
178 rdf:type schema:Person
179 sg:person.0700636421.39 schema:affiliation https://www.grid.ac/institutes/grid.7719.8
180 schema:familyName Gómez-López
181 schema:givenName Gonzalo
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700636421.39
183 rdf:type schema:Person
184 sg:pub.10.1038/nprot.2007.376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045374897
185 https://doi.org/10.1038/nprot.2007.376
186 rdf:type schema:CreativeWork
187 sg:pub.10.1038/nprot.2012.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030124536
188 https://doi.org/10.1038/nprot.2012.016
189 rdf:type schema:CreativeWork
190 sg:pub.10.1038/nrc2657 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031760843
191 https://doi.org/10.1038/nrc2657
192 rdf:type schema:CreativeWork
193 sg:pub.10.1038/nrg3941 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008077621
194 https://doi.org/10.1038/nrg3941
195 rdf:type schema:CreativeWork
196 sg:pub.10.1186/gb-2009-10-3-r25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049583368
197 https://doi.org/10.1186/gb-2009-10-3-r25
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/j.bbadis.2013.05.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042711227
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/j.bbapap.2009.11.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012995331
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/j.cmet.2012.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013362580
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/j.cmet.2015.05.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046769158
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.exger.2013.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018737307
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.jhep.2014.10.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011565340
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.molmet.2014.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048276045
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.tem.2012.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004596602
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/s0092-8674(03)01075-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029609912
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1073/pnas.0708100105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023141088
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1073/pnas.96.13.7473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008746346
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1074/jbc.m113.494328 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041890696
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1093/bioinformatics/btp352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023014918
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1111/j.1474-9726.2009.00532.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000170756
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1126/science.1118357 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062452639
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1146/annurev.physiol.68.040104.105739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053060778
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1172/jci6223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034662125
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1210/en.2006-0644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064248119
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1621/nrs.13002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038187521
236 rdf:type schema:CreativeWork
237 https://www.grid.ac/institutes/grid.413448.e schema:alternateName Instituto de Salud Carlos III
238 schema:name Centro de Investigaciones Biomédicas en Red de Diabetes y Enfermedades Metabólicas Asociadas, ISCIII, Spain.
239 Instituto de Investigaciones Biomédicas "Alberto Sols" (CSIC/UAM), Madrid E28029, Spain.
240 rdf:type schema:Organization
241 https://www.grid.ac/institutes/grid.429045.e schema:alternateName Madrid Institute for Advanced Studies
242 schema:name Bioactive Products and Metabolic Syndrome Group, Madrid Institute of Advanced Studies (IMDEA) in Food, CEI UAM+CSIC, Madrid E28049, Spain.
243 Tumor Suppression Group, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain.
244 rdf:type schema:Organization
245 https://www.grid.ac/institutes/grid.7719.8 schema:alternateName Spanish National Cancer Research Centre
246 schema:name Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain.
247 Flow Cytometry Unit, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain.
248 Spectroscopy and Nuclear Magnetic Resonance Unit, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain.
249 Tumor Suppression Group, Spanish National Cancer Research Centre (CNIO), Madrid E28029, Spain.
250 rdf:type schema:Organization
 




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


...