A RP-UFLC Assay for Protein Tyrosine Phosphatases: Focus on Protein Tyrosine Phosphatase Non-Receptor Type 2 (PTPN2) View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-09

AUTHORS

Romain Duval, Linh-Chi Bui, Jérémy Berthelet, Julien Dairou, Cécile Mathieu, Fabien Guidez, Jean-Marie Dupret, Jan Cools, Christine Chomienne, Fernando Rodrigues-Lima

ABSTRACT

Protein tyrosine phosphatases (PTPs) are involved in numerous signaling pathways and dysfunctions of certain of these enzymes have been linked to several human diseases including cancer and autoimmune diseases. PTPN2 is a PTP mainly expressed in hematopoietic cells and involved in growth factor and JAK/STAT signaling pathways. Loss of function analyses in patients with mutation/deletion of the PTPN2 gene and knock-out mouse models indicate that PTPN2 acts as a tumor suppressor in T-cell malignancies and as a regulator of inflammation and immunity. The use of sensitive and quantitative assays is of prime importance to better characterize the biochemical properties of PTPN2 and its biological roles. We report a highly sensitive non-radioactive assay that allows the measurement of the activity of purified PTPN2 and of endogenous PTPN2 immunoprecipitated on agarose beads. The assay relies on separation and quantitation by reverse-phase ultra fast liquid chromatography (RP-UFLC) of a fluorescein-labeled phosphotyrosine peptide substrate derived from the sequence of STAT1. The applicability and reliability of this approach is supported by kinetic and mechanistic studies using PTP inhibitors. More broadly, our PTPN2 assay provides the basis for the design of flexible methods for the measurement of other PTPs. More... »

PAGES

10750

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep10750

DOI

http://dx.doi.org/10.1038/srep10750

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012101787

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26040922


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/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Line, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromatography, Liquid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromatography, Reverse-Phase", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Enzyme Activation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Enzyme Assays", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Enzyme Inhibitors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hydrogen Peroxide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kinetics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Peptides", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phosphorylation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Tyrosine Phosphatase, Non-Receptor Type 2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Recombinant Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Substrate Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sulfones", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vanadates", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Unit\u00e9 de Biologie Fonctionnelle et Adaptative, CNRS UMR 8251, 75013, Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Duval", 
        "givenName": "Romain", 
        "id": "sg:person.01306262323.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306262323.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Unit\u00e9 de Biologie Fonctionnelle et Adaptative, CNRS UMR 8251, 75013, Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bui", 
        "givenName": "Linh-Chi", 
        "id": "sg:person.01357513102.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357513102.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Unit\u00e9 de Biologie Fonctionnelle et Adaptative, CNRS UMR 8251, 75013, Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Berthelet", 
        "givenName": "J\u00e9r\u00e9my", 
        "id": "sg:person.0723407163.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723407163.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Unit\u00e9 de Biologie Fonctionnelle et Adaptative, CNRS UMR 8251, 75013, Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dairou", 
        "givenName": "Julien", 
        "id": "sg:person.0606314544.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606314544.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Unit\u00e9 de Biologie Fonctionnelle et Adaptative, CNRS UMR 8251, 75013, Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mathieu", 
        "givenName": "C\u00e9cile", 
        "id": "sg:person.01132263564.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132263564.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, INSERM UMR_S1131, Institut Universitaire d'H\u00e9matologie, 75010 Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guidez", 
        "givenName": "Fabien", 
        "id": "sg:person.01253031136.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01253031136.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Unit\u00e9 de Biologie Fonctionnelle et Adaptative, CNRS UMR 8251, 75013, Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dupret", 
        "givenName": "Jean-Marie", 
        "id": "sg:person.01160044712.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160044712.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "KU Leuven", 
          "id": "https://www.grid.ac/institutes/grid.5596.f", 
          "name": [
            "VIB Center for the Biology of Disease, Leuven, Belgium."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cools", 
        "givenName": "Jan", 
        "id": "sg:person.01367254577.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367254577.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "1] Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, INSERM UMR_S1131, Institut Universitaire d'H\u00e9matologie, 75010 Paris, France [2] Service de Biologie Cellulaire, Assistance Publique des H\u00f4pitaux de Paris (AP-HP), H\u00f4pital Saint Louis, 75010 Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chomienne", 
        "givenName": "Christine", 
        "id": "sg:person.01215163502.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215163502.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Unit\u00e9 de Biologie Fonctionnelle et Adaptative, CNRS UMR 8251, 75013, Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rodrigues-Lima", 
        "givenName": "Fernando", 
        "id": "sg:person.0700516552.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700516552.09"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.bmcl.2005.08.054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005239329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.22.16.5662-5668.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005413798"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-4658.2012.08655.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008923262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbadis.2013.05.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011959938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ab.2013.12.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013135358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms4073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014085648", 
          "https://doi.org/10.1038/ncomms4073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/abio.1993.1425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016094958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/febs.12898", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018557506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm2039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021713482", 
          "https://doi.org/10.1038/nrm2039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm2039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021713482", 
          "https://doi.org/10.1038/nrm2039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.leukres.2013.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023774316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.587", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026717947", 
          "https://doi.org/10.1038/ng.587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.587", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026717947", 
          "https://doi.org/10.1038/ng.587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027784949", 
          "https://doi.org/10.1038/nrc1837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027784949", 
          "https://doi.org/10.1038/nrc1837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(91)90091-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028895118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymeth.2004.07.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030150214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymeth.2004.07.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030150214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3324/haematol.2011.041921", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032621237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2010-10-314286", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033743561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ab.2013.11.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036986368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-4658.2012.08626.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040418183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/febs.12000", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043980809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471142735.im1107s93", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045143480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1600-065x.2008.00743.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045361827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1600-065x.2008.00743.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045361827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/y06-012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046699030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.272.2.843", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047720580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0036703", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052745320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi973035t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055215262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi973035t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055215262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja711125p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055857573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja711125p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055857573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077160743", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-09", 
    "datePublishedReg": "2015-09-01", 
    "description": "Protein tyrosine phosphatases (PTPs) are involved in numerous signaling pathways and dysfunctions of certain of these enzymes have been linked to several human diseases including cancer and autoimmune diseases. PTPN2 is a PTP mainly expressed in hematopoietic cells and involved in growth factor and JAK/STAT signaling pathways. Loss of function analyses in patients with mutation/deletion of the PTPN2 gene and knock-out mouse models indicate that PTPN2 acts as a tumor suppressor in T-cell malignancies and as a regulator of inflammation and immunity. The use of sensitive and quantitative assays is of prime importance to better characterize the biochemical properties of PTPN2 and its biological roles. We report a highly sensitive non-radioactive assay that allows the measurement of the activity of purified PTPN2 and of endogenous PTPN2 immunoprecipitated on agarose beads. The assay relies on separation and quantitation by reverse-phase ultra fast liquid chromatography (RP-UFLC) of a fluorescein-labeled phosphotyrosine peptide substrate derived from the sequence of STAT1. The applicability and reliability of this approach is supported by kinetic and mechanistic studies using PTP inhibitors. More broadly, our PTPN2 assay provides the basis for the design of flexible methods for the measurement of other PTPs. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/srep10750", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "name": "A RP-UFLC Assay for Protein Tyrosine Phosphatases: Focus on Protein Tyrosine Phosphatase Non-Receptor Type 2 (PTPN2)", 
    "pagination": "10750", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "39a8573806a15b8992c3c8eec0bb7518484874ee937d3673e016003036910ab6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26040922"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep10750"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012101787"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep10750", 
      "https://app.dimensions.ai/details/publication/pub.1012101787"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:24", 
    "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_8687_00000422.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/srep/2015/150604/srep10750/full/srep10750.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/srep10750'

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/srep10750'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep10750'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep10750'


 

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

284 TRIPLES      21 PREDICATES      72 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep10750 schema:about N0b4cde963d3b4804bc8e408f76974187
2 N1b9024c621304d7abec161a9928d0340
3 N20f175245c65444889c56af918f326ee
4 N2e7eeffa59664013a24f39aac3445fa8
5 N2ffa06b4582c407fbbcd09fe808b8130
6 N32e1bc01d6ac4136b5adedfd3ed2c853
7 N52bdd3bd1e0c455bb276106a306d23d7
8 N5df5b75cb0134dfba179fde19ae8a829
9 N659d6f03b0dc4918a08c26e9e31431bf
10 N97c0c0b2e18344568755884a312a17f7
11 Na6175eb43fd2496ca67de3e1476d8f28
12 Nb279ddc03798441582e6c2cca3667a3f
13 Nb7d9c589d81843f7a8576526c3a26468
14 Nbcccc0e635f04044bdbc4ad5ab8a67ba
15 Ncb1a2caae50e4d5585daae7b445dadcc
16 Nd3b4e5e04176474b9951f38bb0c3ce98
17 anzsrc-for:06
18 anzsrc-for:0601
19 schema:author Nc5544b72b2b44e6d9562fcffa7e9c364
20 schema:citation sg:pub.10.1038/ncomms4073
21 sg:pub.10.1038/ng.587
22 sg:pub.10.1038/nrc1837
23 sg:pub.10.1038/nrm2039
24 https://app.dimensions.ai/details/publication/pub.1077160743
25 https://doi.org/10.1002/0471142735.im1107s93
26 https://doi.org/10.1006/abio.1993.1425
27 https://doi.org/10.1016/0003-2697(91)90091-7
28 https://doi.org/10.1016/j.ab.2013.11.023
29 https://doi.org/10.1016/j.ab.2013.12.024
30 https://doi.org/10.1016/j.bbadis.2013.05.022
31 https://doi.org/10.1016/j.bmcl.2005.08.054
32 https://doi.org/10.1016/j.leukres.2013.05.008
33 https://doi.org/10.1016/j.ymeth.2004.07.002
34 https://doi.org/10.1021/bi973035t
35 https://doi.org/10.1021/ja711125p
36 https://doi.org/10.1074/jbc.272.2.843
37 https://doi.org/10.1111/febs.12000
38 https://doi.org/10.1111/febs.12898
39 https://doi.org/10.1111/j.1600-065x.2008.00743.x
40 https://doi.org/10.1111/j.1742-4658.2012.08626.x
41 https://doi.org/10.1111/j.1742-4658.2012.08655.x
42 https://doi.org/10.1128/mcb.22.16.5662-5668.2002
43 https://doi.org/10.1139/y06-012
44 https://doi.org/10.1182/blood-2010-10-314286
45 https://doi.org/10.1371/journal.pone.0036703
46 https://doi.org/10.3324/haematol.2011.041921
47 schema:datePublished 2015-09
48 schema:datePublishedReg 2015-09-01
49 schema:description Protein tyrosine phosphatases (PTPs) are involved in numerous signaling pathways and dysfunctions of certain of these enzymes have been linked to several human diseases including cancer and autoimmune diseases. PTPN2 is a PTP mainly expressed in hematopoietic cells and involved in growth factor and JAK/STAT signaling pathways. Loss of function analyses in patients with mutation/deletion of the PTPN2 gene and knock-out mouse models indicate that PTPN2 acts as a tumor suppressor in T-cell malignancies and as a regulator of inflammation and immunity. The use of sensitive and quantitative assays is of prime importance to better characterize the biochemical properties of PTPN2 and its biological roles. We report a highly sensitive non-radioactive assay that allows the measurement of the activity of purified PTPN2 and of endogenous PTPN2 immunoprecipitated on agarose beads. The assay relies on separation and quantitation by reverse-phase ultra fast liquid chromatography (RP-UFLC) of a fluorescein-labeled phosphotyrosine peptide substrate derived from the sequence of STAT1. The applicability and reliability of this approach is supported by kinetic and mechanistic studies using PTP inhibitors. More broadly, our PTPN2 assay provides the basis for the design of flexible methods for the measurement of other PTPs.
50 schema:genre research_article
51 schema:inLanguage en
52 schema:isAccessibleForFree true
53 schema:isPartOf Na3f49c17b4ab416c9f5dbcd6400bc9fd
54 Nc1d1a17edcd14dcbb571d6b36bb91cc7
55 sg:journal.1045337
56 schema:name A RP-UFLC Assay for Protein Tyrosine Phosphatases: Focus on Protein Tyrosine Phosphatase Non-Receptor Type 2 (PTPN2)
57 schema:pagination 10750
58 schema:productId N1b5f4d5395784630805fa3c55533065e
59 N1f7efa58c16b4bbfbf891d2ebc957d38
60 N632adee2342545d4bb910a180904928a
61 Nd4036f0919144a9ca31b97f8878708a6
62 Nde978fabca324951aaff6f66cc39e03b
63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012101787
64 https://doi.org/10.1038/srep10750
65 schema:sdDatePublished 2019-04-10T21:24
66 schema:sdLicense https://scigraph.springernature.com/explorer/license/
67 schema:sdPublisher N3e9554ad05694160984a0fc1b76b2afa
68 schema:url http://www.nature.com/srep/2015/150604/srep10750/full/srep10750.html
69 sgo:license sg:explorer/license/
70 sgo:sdDataset articles
71 rdf:type schema:ScholarlyArticle
72 N08c3074d80d34a7997df93c017f5e70c rdf:first sg:person.01160044712.45
73 rdf:rest N6290aa7ab07d4073b529f2c420a9db92
74 N0b4cde963d3b4804bc8e408f76974187 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Sulfones
76 rdf:type schema:DefinedTerm
77 N1b5f4d5395784630805fa3c55533065e schema:name nlm_unique_id
78 schema:value 101563288
79 rdf:type schema:PropertyValue
80 N1b9024c621304d7abec161a9928d0340 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Cell Line, Tumor
82 rdf:type schema:DefinedTerm
83 N1f7efa58c16b4bbfbf891d2ebc957d38 schema:name pubmed_id
84 schema:value 26040922
85 rdf:type schema:PropertyValue
86 N20f175245c65444889c56af918f326ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Chromatography, Reverse-Phase
88 rdf:type schema:DefinedTerm
89 N2e7eeffa59664013a24f39aac3445fa8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Enzyme Activation
91 rdf:type schema:DefinedTerm
92 N2ffa06b4582c407fbbcd09fe808b8130 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Peptides
94 rdf:type schema:DefinedTerm
95 N32e1bc01d6ac4136b5adedfd3ed2c853 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Vanadates
97 rdf:type schema:DefinedTerm
98 N3e9554ad05694160984a0fc1b76b2afa schema:name Springer Nature - SN SciGraph project
99 rdf:type schema:Organization
100 N52bdd3bd1e0c455bb276106a306d23d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Enzyme Inhibitors
102 rdf:type schema:DefinedTerm
103 N5df5b75cb0134dfba179fde19ae8a829 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Hydrogen Peroxide
105 rdf:type schema:DefinedTerm
106 N6290aa7ab07d4073b529f2c420a9db92 rdf:first sg:person.01367254577.12
107 rdf:rest N8e53ca0bb8d748ed921a16c05ab609cc
108 N632adee2342545d4bb910a180904928a schema:name doi
109 schema:value 10.1038/srep10750
110 rdf:type schema:PropertyValue
111 N659d6f03b0dc4918a08c26e9e31431bf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Chromatography, Liquid
113 rdf:type schema:DefinedTerm
114 N6fa33adfdd8c47a1bd6e31475618ab21 rdf:first sg:person.0606314544.50
115 rdf:rest Nae7b444be96e4336b578c5bcf2128f33
116 N8e53ca0bb8d748ed921a16c05ab609cc rdf:first sg:person.01215163502.83
117 rdf:rest Ne1c149f8e80d42958fab9e75b50743dc
118 N8ff673caaac54aac94b078823dabe317 rdf:first sg:person.01253031136.22
119 rdf:rest N08c3074d80d34a7997df93c017f5e70c
120 N97c0c0b2e18344568755884a312a17f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Substrate Specificity
122 rdf:type schema:DefinedTerm
123 Na3f49c17b4ab416c9f5dbcd6400bc9fd schema:issueNumber 1
124 rdf:type schema:PublicationIssue
125 Na6175eb43fd2496ca67de3e1476d8f28 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Phosphorylation
127 rdf:type schema:DefinedTerm
128 Nae7b444be96e4336b578c5bcf2128f33 rdf:first sg:person.01132263564.08
129 rdf:rest N8ff673caaac54aac94b078823dabe317
130 Nb279ddc03798441582e6c2cca3667a3f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Recombinant Proteins
132 rdf:type schema:DefinedTerm
133 Nb7d9c589d81843f7a8576526c3a26468 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Kinetics
135 rdf:type schema:DefinedTerm
136 Nbcccc0e635f04044bdbc4ad5ab8a67ba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Enzyme Assays
138 rdf:type schema:DefinedTerm
139 Nc1d1a17edcd14dcbb571d6b36bb91cc7 schema:volumeNumber 5
140 rdf:type schema:PublicationVolume
141 Nc5544b72b2b44e6d9562fcffa7e9c364 rdf:first sg:person.01306262323.18
142 rdf:rest Nfee75a83c9594053966a8396f4b04669
143 Ncb1a2caae50e4d5585daae7b445dadcc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Humans
145 rdf:type schema:DefinedTerm
146 Nd3b4e5e04176474b9951f38bb0c3ce98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Protein Tyrosine Phosphatase, Non-Receptor Type 2
148 rdf:type schema:DefinedTerm
149 Nd4036f0919144a9ca31b97f8878708a6 schema:name dimensions_id
150 schema:value pub.1012101787
151 rdf:type schema:PropertyValue
152 Nde978fabca324951aaff6f66cc39e03b schema:name readcube_id
153 schema:value 39a8573806a15b8992c3c8eec0bb7518484874ee937d3673e016003036910ab6
154 rdf:type schema:PropertyValue
155 Ne1c149f8e80d42958fab9e75b50743dc rdf:first sg:person.0700516552.09
156 rdf:rest rdf:nil
157 Nf4e800fb3cbb40738fe3276634d8ea56 rdf:first sg:person.0723407163.97
158 rdf:rest N6fa33adfdd8c47a1bd6e31475618ab21
159 Nfee75a83c9594053966a8396f4b04669 rdf:first sg:person.01357513102.84
160 rdf:rest Nf4e800fb3cbb40738fe3276634d8ea56
161 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
162 schema:name Biological Sciences
163 rdf:type schema:DefinedTerm
164 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
165 schema:name Biochemistry and Cell Biology
166 rdf:type schema:DefinedTerm
167 sg:journal.1045337 schema:issn 2045-2322
168 schema:name Scientific Reports
169 rdf:type schema:Periodical
170 sg:person.01132263564.08 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
171 schema:familyName Mathieu
172 schema:givenName Cécile
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132263564.08
174 rdf:type schema:Person
175 sg:person.01160044712.45 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
176 schema:familyName Dupret
177 schema:givenName Jean-Marie
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160044712.45
179 rdf:type schema:Person
180 sg:person.01215163502.83 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
181 schema:familyName Chomienne
182 schema:givenName Christine
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215163502.83
184 rdf:type schema:Person
185 sg:person.01253031136.22 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
186 schema:familyName Guidez
187 schema:givenName Fabien
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01253031136.22
189 rdf:type schema:Person
190 sg:person.01306262323.18 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
191 schema:familyName Duval
192 schema:givenName Romain
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306262323.18
194 rdf:type schema:Person
195 sg:person.01357513102.84 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
196 schema:familyName Bui
197 schema:givenName Linh-Chi
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357513102.84
199 rdf:type schema:Person
200 sg:person.01367254577.12 schema:affiliation https://www.grid.ac/institutes/grid.5596.f
201 schema:familyName Cools
202 schema:givenName Jan
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367254577.12
204 rdf:type schema:Person
205 sg:person.0606314544.50 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
206 schema:familyName Dairou
207 schema:givenName Julien
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606314544.50
209 rdf:type schema:Person
210 sg:person.0700516552.09 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
211 schema:familyName Rodrigues-Lima
212 schema:givenName Fernando
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700516552.09
214 rdf:type schema:Person
215 sg:person.0723407163.97 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
216 schema:familyName Berthelet
217 schema:givenName Jérémy
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723407163.97
219 rdf:type schema:Person
220 sg:pub.10.1038/ncomms4073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014085648
221 https://doi.org/10.1038/ncomms4073
222 rdf:type schema:CreativeWork
223 sg:pub.10.1038/ng.587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026717947
224 https://doi.org/10.1038/ng.587
225 rdf:type schema:CreativeWork
226 sg:pub.10.1038/nrc1837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027784949
227 https://doi.org/10.1038/nrc1837
228 rdf:type schema:CreativeWork
229 sg:pub.10.1038/nrm2039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021713482
230 https://doi.org/10.1038/nrm2039
231 rdf:type schema:CreativeWork
232 https://app.dimensions.ai/details/publication/pub.1077160743 schema:CreativeWork
233 https://doi.org/10.1002/0471142735.im1107s93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045143480
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1006/abio.1993.1425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016094958
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1016/0003-2697(91)90091-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028895118
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/j.ab.2013.11.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036986368
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/j.ab.2013.12.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013135358
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/j.bbadis.2013.05.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011959938
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/j.bmcl.2005.08.054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005239329
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1016/j.leukres.2013.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023774316
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/j.ymeth.2004.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030150214
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1021/bi973035t schema:sameAs https://app.dimensions.ai/details/publication/pub.1055215262
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1021/ja711125p schema:sameAs https://app.dimensions.ai/details/publication/pub.1055857573
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1074/jbc.272.2.843 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047720580
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1111/febs.12000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043980809
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1111/febs.12898 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018557506
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1111/j.1600-065x.2008.00743.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045361827
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1111/j.1742-4658.2012.08626.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040418183
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1111/j.1742-4658.2012.08655.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008923262
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1128/mcb.22.16.5662-5668.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005413798
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1139/y06-012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046699030
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1182/blood-2010-10-314286 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033743561
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1371/journal.pone.0036703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052745320
274 rdf:type schema:CreativeWork
275 https://doi.org/10.3324/haematol.2011.041921 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032621237
276 rdf:type schema:CreativeWork
277 https://www.grid.ac/institutes/grid.5596.f schema:alternateName KU Leuven
278 schema:name VIB Center for the Biology of Disease, Leuven, Belgium.
279 rdf:type schema:Organization
280 https://www.grid.ac/institutes/grid.7452.4 schema:alternateName Paris Diderot University
281 schema:name 1] Université Paris Diderot, Sorbonne Paris Cité, INSERM UMR_S1131, Institut Universitaire d'Hématologie, 75010 Paris, France [2] Service de Biologie Cellulaire, Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpital Saint Louis, 75010 Paris, France.
282 Université Paris Diderot, Sorbonne Paris Cité, INSERM UMR_S1131, Institut Universitaire d'Hématologie, 75010 Paris, France.
283 Université Paris Diderot, Sorbonne Paris Cité, Unité de Biologie Fonctionnelle et Adaptative, CNRS UMR 8251, 75013, Paris, France.
284 rdf:type schema:Organization
 




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


...