Protease resistance of food proteins: a mixed picture for predicting allergenicity but a useful tool for assessing exposure View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Jaap Akkerdaas, Muriel Totis, Brian Barnett, Erin Bell, Tom Davis, Thomas Edrington, Kevin Glenn, Gerson Graser, Rod Herman, Andre Knulst, Gregory Ladics, Scott McClain, Lars K. Poulsen, Rakesh Ranjan, Jean-Baptiste Rascle, Hector Serrano, Dave Speijer, Rong Wang, Lucilia Pereira Mouriès, Annabelle Capt, Ronald van Ree

ABSTRACT

Background: Susceptibility to pepsin digestion of candidate transgene products is regarded an important parameter in the weight-of-evidence approach for allergenicity risk assessment of genetically modified crops. It has been argued that protocols used for this assessment should better reflect physiological conditions encountered in representative food consumption scenarios. Aim: To evaluate whether inclusion of more physiological conditions, such as sub-optimal and lower pepsin concentrations, in combination with pancreatin digestion, improved the performance of digestibility protocols used in characterization of protein stability. Methods: Four pairs of established allergens and their related non/weakly-allergenic counterparts (seed albumins, muscle tropomyosins, plant lipid transfer proteins [LTP] and collagens) plus fish parvalbumin, were subjected to nine combinations of pH (1.2-2.5-4.0) and pepsin-to-protein ratio (PPR: 10-1-0.1 U/µg) for pepsin digestion, followed by pancreatin digestion in the presence of bile salts. Digestion was monitored by SDS-PAGE in conjunction with Coomassie staining and immunoblotting using rabbit antisera and human IgE. Results: At pH 4.0 and at PPR 0.1 most proteins, both allergen and non-allergen, were highly resistant to pepsin. Under conditions known to favor pepsin proteolysis, the established major allergens Ara h 2, Pru p 3 and Pen a 1 were highly resistant to proteolysis, while the allergen Cyp c 1 was not. However, this resistance to pepsin digestion only made Ara h 2 and to a lesser extent Pen a 1 and Pru p 3 stand out compared to their non-allergenic counterparts. Largely irrespective of preceding pepsin digestion conditions, pancreatin digestion was very effective for all tested proteins, allergens and non-allergens, except for Cyp c 1 and bovine collagen. Conclusions: Sub-optimal pH, low pepsin-to protein ratio, and sequential pepsin and pancreatin digestion protocols do not improve the predictive value in distinguish allergens from non-allergens. Digestion conditions facilitating such distinction differ per protein pair. More... »

PAGES

30

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13601-018-0216-9

DOI

http://dx.doi.org/10.1186/s13601-018-0216-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105591062

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30116520


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Academic Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5650.6", 
          "name": [
            "Department of Experimental Immunology, Academic Medical Center (AMC), Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Akkerdaas", 
        "givenName": "Jaap", 
        "id": "sg:person.01211261231.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211261231.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bayer (France)", 
          "id": "https://www.grid.ac/institutes/grid.423973.8", 
          "name": [
            "Bayer S.A.S, Bayer CropScience, Sophia Antipolis, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Totis", 
        "givenName": "Muriel", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Formerly BASF Plant Science, 27709, Research Triangle Park, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barnett", 
        "givenName": "Brian", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Monsanto (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418554.9", 
          "name": [
            "Regulatory Division, Product Characterization Center, Monsanto Co., St. Louis, MO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bell", 
        "givenName": "Erin", 
        "id": "sg:person.01047746026.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047746026.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pioneer Hi-Bred", 
          "id": "https://www.grid.ac/institutes/grid.292487.2", 
          "name": [
            "DuPont Pioneer, DuPont Johnston Research and Development Center, 50131, Johnston, IA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Davis", 
        "givenName": "Tom", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Monsanto (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418554.9", 
          "name": [
            "Regulatory Division, Product Characterization Center, Monsanto Co., St. Louis, MO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Edrington", 
        "givenName": "Thomas", 
        "id": "sg:person.01125350461.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125350461.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Monsanto (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418554.9", 
          "name": [
            "Regulatory Division, Product Characterization Center, Monsanto Co., St. Louis, MO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Glenn", 
        "givenName": "Kevin", 
        "id": "sg:person.0670750635.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670750635.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Syngenta Crop Protection, LLC, 27709, Research Triangle Park, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Graser", 
        "givenName": "Gerson", 
        "id": "sg:person.01223442242.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223442242.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dow Chemical Company (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418574.b", 
          "name": [
            "Dow AgroSciences LLC, 46268, Indianapolis, IN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herman", 
        "givenName": "Rod", 
        "id": "sg:person.01035775347.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035775347.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Medical Center Utrecht", 
          "id": "https://www.grid.ac/institutes/grid.7692.a", 
          "name": [
            "Department of Dermatology and Allergology, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Knulst", 
        "givenName": "Andre", 
        "id": "sg:person.01123445033.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123445033.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "DuPont (United States)", 
          "id": "https://www.grid.ac/institutes/grid.416832.a", 
          "name": [
            "DuPont Haskell Laboratory, 19711, Newark, DE, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ladics", 
        "givenName": "Gregory", 
        "id": "sg:person.0632211251.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632211251.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Syngenta Crop Protection, LLC, 27709, Research Triangle Park, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McClain", 
        "givenName": "Scott", 
        "id": "sg:person.0700324451.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700324451.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gentofte Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411646.0", 
          "name": [
            "Allergy Clinic, Copenhagen University Hospital at Gentofte, Copenhagen, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Poulsen", 
        "givenName": "Lars K.", 
        "id": "sg:person.011706676204.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011706676204.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Bayer CropScience LP, 27560, Morrisville, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ranjan", 
        "givenName": "Rakesh", 
        "id": "sg:person.01044741542.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044741542.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bayer (France)", 
          "id": "https://www.grid.ac/institutes/grid.423973.8", 
          "name": [
            "Bayer S.A.S, Bayer CropScience, Sophia Antipolis, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rascle", 
        "givenName": "Jean-Baptiste", 
        "id": "sg:person.01324045763.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324045763.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Bayer CropScience LP, 27560, Morrisville, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Serrano", 
        "givenName": "Hector", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academic Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5650.6", 
          "name": [
            "Department of Medical Biochemistry, Academic Medical Center (AMC), Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Speijer", 
        "givenName": "Dave", 
        "id": "sg:person.01174245667.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174245667.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Monsanto (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418554.9", 
          "name": [
            "Regulatory Division, Product Characterization Center, Monsanto Co., St. Louis, MO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Rong", 
        "id": "sg:person.012556210757.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012556210757.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Health and Environmental Sciences Institute (HESI), 20005, Washington, DC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pereira Mouri\u00e8s", 
        "givenName": "Lucilia", 
        "id": "sg:person.016151570560.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016151570560.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bayer (France)", 
          "id": "https://www.grid.ac/institutes/grid.423973.8", 
          "name": [
            "Bayer S.A.S, Bayer CropScience, Sophia Antipolis, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Capt", 
        "givenName": "Annabelle", 
        "id": "sg:person.01365620262.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365620262.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academic Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5650.6", 
          "name": [
            "Department of Experimental Immunology, Academic Medical Center (AMC), Amsterdam, The Netherlands", 
            "Department of Otorhinolaryngology, Academic Medical Center (AMC), Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Ree", 
        "givenName": "Ronald", 
        "id": "sg:person.01212356071.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212356071.08"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.yrtph.2009.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001176596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09637480601149640", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001424674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mai.2000.108499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001483592"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000371657", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001580595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaci.2006.10.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002324022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/toxsci/55.2.235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002419323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1749-6632.2002.tb04135.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004406817"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/all.12836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004451832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mnfr.200600231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005532459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1343", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012795781", 
          "https://doi.org/10.1038/nbt1343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mnfr.201500769", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017150990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2222.2006.02453.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021145587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000316346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021688500"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2567.1999.00696.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024016137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2567.1999.00696.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024016137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000086420", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026141444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000086420", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026141444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0091-6749(03)02016-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030849979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0091-6749(03)02016-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030849979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jf020599h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031089995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jf020599h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031089995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000318864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032209401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10408398.2013.779569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036033796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1096-1269", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038488401", 
          "https://doi.org/10.1038/nbt1096-1269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yrtph.2003.11.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042881923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaci.2014.10.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052123676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jf980351l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055930368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jf980351l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055930368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.5812", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064741628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0171926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083844344"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Background: Susceptibility to pepsin digestion of candidate transgene products is regarded an important parameter in the weight-of-evidence approach for allergenicity risk assessment of genetically modified crops. It has been argued that protocols used for this assessment should better reflect physiological conditions encountered in representative food consumption scenarios.\nAim: To evaluate whether inclusion of more physiological conditions, such as sub-optimal and lower pepsin concentrations, in combination with pancreatin digestion, improved the performance of digestibility protocols used in characterization of protein stability.\nMethods: Four pairs of established allergens and their related non/weakly-allergenic counterparts (seed albumins, muscle tropomyosins, plant lipid transfer proteins [LTP] and collagens) plus fish parvalbumin, were subjected to nine combinations of pH (1.2-2.5-4.0) and pepsin-to-protein ratio (PPR: 10-1-0.1\u00a0U/\u00b5g) for pepsin digestion, followed by pancreatin digestion in the presence of bile salts. Digestion was monitored by SDS-PAGE in conjunction with Coomassie staining and immunoblotting using rabbit antisera and human IgE.\nResults: At pH 4.0 and at PPR 0.1 most proteins, both allergen and non-allergen, were highly resistant to pepsin. Under conditions known to favor pepsin proteolysis, the established major allergens Ara h 2, Pru p 3 and Pen a 1 were highly resistant to proteolysis, while the allergen Cyp c 1 was not. However, this resistance to pepsin digestion only made Ara h 2 and to a lesser extent Pen a 1 and Pru p 3 stand out compared to their non-allergenic counterparts. Largely irrespective of preceding pepsin digestion conditions, pancreatin digestion was very effective for all tested proteins, allergens and non-allergens, except for Cyp c 1 and bovine collagen.\nConclusions: Sub-optimal pH, low pepsin-to protein ratio, and sequential pepsin and pancreatin digestion protocols do not improve the predictive value in distinguish allergens from non-allergens. Digestion conditions facilitating such distinction differ per protein pair.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13601-018-0216-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1046232", 
        "issn": [
          "2045-7022"
        ], 
        "name": "Clinical and Translational Allergy", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Protease resistance of food proteins: a mixed picture for predicting allergenicity but a useful tool for assessing exposure", 
    "pagination": "30", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "db926071bf466786b57da435aa4c1a2fb186abaaf4d2fd34df53c81b468fc756"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30116520"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101576043"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13601-018-0216-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105591062"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13601-018-0216-9", 
      "https://app.dimensions.ai/details/publication/pub.1105591062"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:42", 
    "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_8690_00000571.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13601-018-0216-9"
  }
]
 

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/s13601-018-0216-9'

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/s13601-018-0216-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13601-018-0216-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13601-018-0216-9'


 

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

316 TRIPLES      21 PREDICATES      54 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13601-018-0216-9 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author N1084328716fb4256901afc01d5beec34
4 schema:citation sg:pub.10.1038/nbt1096-1269
5 sg:pub.10.1038/nbt1343
6 https://doi.org/10.1002/mnfr.200600231
7 https://doi.org/10.1002/mnfr.201500769
8 https://doi.org/10.1016/j.jaci.2006.10.039
9 https://doi.org/10.1016/j.jaci.2014.10.007
10 https://doi.org/10.1016/j.yrtph.2003.11.003
11 https://doi.org/10.1016/j.yrtph.2009.02.004
12 https://doi.org/10.1016/s0091-6749(03)02016-5
13 https://doi.org/10.1021/jf020599h
14 https://doi.org/10.1021/jf980351l
15 https://doi.org/10.1046/j.1365-2567.1999.00696.x
16 https://doi.org/10.1067/mai.2000.108499
17 https://doi.org/10.1080/09637480601149640
18 https://doi.org/10.1080/10408398.2013.779569
19 https://doi.org/10.1093/toxsci/55.2.235
20 https://doi.org/10.1111/all.12836
21 https://doi.org/10.1111/j.1365-2222.2006.02453.x
22 https://doi.org/10.1111/j.1749-6632.2002.tb04135.x
23 https://doi.org/10.1159/000086420
24 https://doi.org/10.1159/000316346
25 https://doi.org/10.1159/000318864
26 https://doi.org/10.1159/000371657
27 https://doi.org/10.1289/ehp.5812
28 https://doi.org/10.1371/journal.pone.0171926
29 schema:datePublished 2018-12
30 schema:datePublishedReg 2018-12-01
31 schema:description Background: Susceptibility to pepsin digestion of candidate transgene products is regarded an important parameter in the weight-of-evidence approach for allergenicity risk assessment of genetically modified crops. It has been argued that protocols used for this assessment should better reflect physiological conditions encountered in representative food consumption scenarios. Aim: To evaluate whether inclusion of more physiological conditions, such as sub-optimal and lower pepsin concentrations, in combination with pancreatin digestion, improved the performance of digestibility protocols used in characterization of protein stability. Methods: Four pairs of established allergens and their related non/weakly-allergenic counterparts (seed albumins, muscle tropomyosins, plant lipid transfer proteins [LTP] and collagens) plus fish parvalbumin, were subjected to nine combinations of pH (1.2-2.5-4.0) and pepsin-to-protein ratio (PPR: 10-1-0.1 U/µg) for pepsin digestion, followed by pancreatin digestion in the presence of bile salts. Digestion was monitored by SDS-PAGE in conjunction with Coomassie staining and immunoblotting using rabbit antisera and human IgE. Results: At pH 4.0 and at PPR 0.1 most proteins, both allergen and non-allergen, were highly resistant to pepsin. Under conditions known to favor pepsin proteolysis, the established major allergens Ara h 2, Pru p 3 and Pen a 1 were highly resistant to proteolysis, while the allergen Cyp c 1 was not. However, this resistance to pepsin digestion only made Ara h 2 and to a lesser extent Pen a 1 and Pru p 3 stand out compared to their non-allergenic counterparts. Largely irrespective of preceding pepsin digestion conditions, pancreatin digestion was very effective for all tested proteins, allergens and non-allergens, except for Cyp c 1 and bovine collagen. Conclusions: Sub-optimal pH, low pepsin-to protein ratio, and sequential pepsin and pancreatin digestion protocols do not improve the predictive value in distinguish allergens from non-allergens. Digestion conditions facilitating such distinction differ per protein pair.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree true
35 schema:isPartOf N4f53234cd6ec40b5bc0d3dd5b2d99364
36 N7327e9555f2442fa996e2cb4fd105d5c
37 sg:journal.1046232
38 schema:name Protease resistance of food proteins: a mixed picture for predicting allergenicity but a useful tool for assessing exposure
39 schema:pagination 30
40 schema:productId N228fe37b403a46f0a1794c5c191a224d
41 N451bae4066ce48b8b0d8057a50ac69af
42 N7c3e90c716b7415f8ae30c1bef9902c0
43 N8448f359367a437ab3058022f3583309
44 Nd706572657d2416f93c14de33d3699e8
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105591062
46 https://doi.org/10.1186/s13601-018-0216-9
47 schema:sdDatePublished 2019-04-10T22:42
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher N8597ec94b4e44dc584dd27cbb1f8b767
50 schema:url https://link.springer.com/10.1186%2Fs13601-018-0216-9
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N043d8e0ab9b84bcabb5696b549e76d81 schema:affiliation N928459557e2149a4a998f3d58857f119
55 schema:familyName Serrano
56 schema:givenName Hector
57 rdf:type schema:Person
58 N06c925ba67844a17add74a280cbde17f rdf:first sg:person.0632211251.18
59 rdf:rest N2dcaebb81f0e4cd2b128605a6afa668e
60 N09b414acae0b47cdacb7491fa029faf7 schema:name Syngenta Crop Protection, LLC, 27709, Research Triangle Park, NC, USA
61 rdf:type schema:Organization
62 N09b48f0d4f054f3fa0ef70adab28a7bb rdf:first sg:person.01035775347.32
63 rdf:rest Nc48421465936478a896c7ce80d433e14
64 N0cb3d45279974e12b776f6ec5f14b599 rdf:first N0d82d9cda159405f9fd9317ad1e526bf
65 rdf:rest N58992743df6b4ca08fd31896233181ef
66 N0d82d9cda159405f9fd9317ad1e526bf schema:affiliation N4fcff7a6337f4ab19f5ba978d071310b
67 schema:familyName Barnett
68 schema:givenName Brian
69 rdf:type schema:Person
70 N1084328716fb4256901afc01d5beec34 rdf:first sg:person.01211261231.50
71 rdf:rest N4fb7a4c0bdba4abf9764c3587b10e565
72 N228fe37b403a46f0a1794c5c191a224d schema:name pubmed_id
73 schema:value 30116520
74 rdf:type schema:PropertyValue
75 N23006532ed0a46e692685dffd6267fb2 rdf:first Nfcf01d6caf95448b895472de01ce0977
76 rdf:rest N9a484fe3cda64869b41bf9ee125c809e
77 N2dcaebb81f0e4cd2b128605a6afa668e rdf:first sg:person.0700324451.96
78 rdf:rest N5cc27cb18dfe4ada8efcb3eb03c52e41
79 N36383b47a51140e7a6fff62779293225 schema:name Bayer CropScience LP, 27560, Morrisville, NC, USA
80 rdf:type schema:Organization
81 N365d779a18cf4aabb7ee455c49ef1114 rdf:first sg:person.01324045763.29
82 rdf:rest Nb9762d1a9d0545f9917ef93e57ffd433
83 N451bae4066ce48b8b0d8057a50ac69af schema:name readcube_id
84 schema:value db926071bf466786b57da435aa4c1a2fb186abaaf4d2fd34df53c81b468fc756
85 rdf:type schema:PropertyValue
86 N4f53234cd6ec40b5bc0d3dd5b2d99364 schema:volumeNumber 8
87 rdf:type schema:PublicationVolume
88 N4fb7a4c0bdba4abf9764c3587b10e565 rdf:first Nabf5294c7f5c44549b503ff3d490d900
89 rdf:rest N0cb3d45279974e12b776f6ec5f14b599
90 N4fcff7a6337f4ab19f5ba978d071310b schema:name Formerly BASF Plant Science, 27709, Research Triangle Park, NC, USA
91 rdf:type schema:Organization
92 N58992743df6b4ca08fd31896233181ef rdf:first sg:person.01047746026.03
93 rdf:rest N23006532ed0a46e692685dffd6267fb2
94 N5cc27cb18dfe4ada8efcb3eb03c52e41 rdf:first sg:person.011706676204.20
95 rdf:rest Nf403e0c9f3a5479cb294d30ef8246b79
96 N6581d516db2546b980b3cbe6ad80b954 rdf:first sg:person.01365620262.18
97 rdf:rest N85c5841e207f49db80528158d31809cb
98 N71043c7dd5d34fc788ec33aae67c09fc schema:name Syngenta Crop Protection, LLC, 27709, Research Triangle Park, NC, USA
99 rdf:type schema:Organization
100 N7327e9555f2442fa996e2cb4fd105d5c schema:issueNumber 1
101 rdf:type schema:PublicationIssue
102 N7c3e90c716b7415f8ae30c1bef9902c0 schema:name dimensions_id
103 schema:value pub.1105591062
104 rdf:type schema:PropertyValue
105 N7e8b9d2b90de41dfbd78d3d2b1b8cb5f rdf:first sg:person.01223442242.33
106 rdf:rest N09b48f0d4f054f3fa0ef70adab28a7bb
107 N8448f359367a437ab3058022f3583309 schema:name nlm_unique_id
108 schema:value 101576043
109 rdf:type schema:PropertyValue
110 N8597ec94b4e44dc584dd27cbb1f8b767 schema:name Springer Nature - SN SciGraph project
111 rdf:type schema:Organization
112 N85c5841e207f49db80528158d31809cb rdf:first sg:person.01212356071.08
113 rdf:rest rdf:nil
114 N8884900ea64d49df830150e4e7dd51b9 rdf:first sg:person.012556210757.82
115 rdf:rest Nb56935d3dc21414eb9471c156d80065a
116 N928459557e2149a4a998f3d58857f119 schema:name Bayer CropScience LP, 27560, Morrisville, NC, USA
117 rdf:type schema:Organization
118 N96e4bff4776849cdaef98285da04ebc6 schema:name Health and Environmental Sciences Institute (HESI), 20005, Washington, DC, USA
119 rdf:type schema:Organization
120 N9a484fe3cda64869b41bf9ee125c809e rdf:first sg:person.01125350461.68
121 rdf:rest Ne455561c0e2a4dda8e568b6e0d7e6170
122 Nabf5294c7f5c44549b503ff3d490d900 schema:affiliation https://www.grid.ac/institutes/grid.423973.8
123 schema:familyName Totis
124 schema:givenName Muriel
125 rdf:type schema:Person
126 Nb56935d3dc21414eb9471c156d80065a rdf:first sg:person.016151570560.64
127 rdf:rest N6581d516db2546b980b3cbe6ad80b954
128 Nb9762d1a9d0545f9917ef93e57ffd433 rdf:first N043d8e0ab9b84bcabb5696b549e76d81
129 rdf:rest Nc54609105a0e4c9bbe988e7f88651470
130 Nc48421465936478a896c7ce80d433e14 rdf:first sg:person.01123445033.43
131 rdf:rest N06c925ba67844a17add74a280cbde17f
132 Nc54609105a0e4c9bbe988e7f88651470 rdf:first sg:person.01174245667.46
133 rdf:rest N8884900ea64d49df830150e4e7dd51b9
134 Nd706572657d2416f93c14de33d3699e8 schema:name doi
135 schema:value 10.1186/s13601-018-0216-9
136 rdf:type schema:PropertyValue
137 Ne455561c0e2a4dda8e568b6e0d7e6170 rdf:first sg:person.0670750635.18
138 rdf:rest N7e8b9d2b90de41dfbd78d3d2b1b8cb5f
139 Nf403e0c9f3a5479cb294d30ef8246b79 rdf:first sg:person.01044741542.53
140 rdf:rest N365d779a18cf4aabb7ee455c49ef1114
141 Nfcf01d6caf95448b895472de01ce0977 schema:affiliation https://www.grid.ac/institutes/grid.292487.2
142 schema:familyName Davis
143 schema:givenName Tom
144 rdf:type schema:Person
145 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
146 schema:name Physical Sciences
147 rdf:type schema:DefinedTerm
148 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
149 schema:name Other Physical Sciences
150 rdf:type schema:DefinedTerm
151 sg:journal.1046232 schema:issn 2045-7022
152 schema:name Clinical and Translational Allergy
153 rdf:type schema:Periodical
154 sg:person.01035775347.32 schema:affiliation https://www.grid.ac/institutes/grid.418574.b
155 schema:familyName Herman
156 schema:givenName Rod
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035775347.32
158 rdf:type schema:Person
159 sg:person.01044741542.53 schema:affiliation N36383b47a51140e7a6fff62779293225
160 schema:familyName Ranjan
161 schema:givenName Rakesh
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044741542.53
163 rdf:type schema:Person
164 sg:person.01047746026.03 schema:affiliation https://www.grid.ac/institutes/grid.418554.9
165 schema:familyName Bell
166 schema:givenName Erin
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047746026.03
168 rdf:type schema:Person
169 sg:person.01123445033.43 schema:affiliation https://www.grid.ac/institutes/grid.7692.a
170 schema:familyName Knulst
171 schema:givenName Andre
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123445033.43
173 rdf:type schema:Person
174 sg:person.01125350461.68 schema:affiliation https://www.grid.ac/institutes/grid.418554.9
175 schema:familyName Edrington
176 schema:givenName Thomas
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125350461.68
178 rdf:type schema:Person
179 sg:person.011706676204.20 schema:affiliation https://www.grid.ac/institutes/grid.411646.0
180 schema:familyName Poulsen
181 schema:givenName Lars K.
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011706676204.20
183 rdf:type schema:Person
184 sg:person.01174245667.46 schema:affiliation https://www.grid.ac/institutes/grid.5650.6
185 schema:familyName Speijer
186 schema:givenName Dave
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174245667.46
188 rdf:type schema:Person
189 sg:person.01211261231.50 schema:affiliation https://www.grid.ac/institutes/grid.5650.6
190 schema:familyName Akkerdaas
191 schema:givenName Jaap
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211261231.50
193 rdf:type schema:Person
194 sg:person.01212356071.08 schema:affiliation https://www.grid.ac/institutes/grid.5650.6
195 schema:familyName van Ree
196 schema:givenName Ronald
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212356071.08
198 rdf:type schema:Person
199 sg:person.01223442242.33 schema:affiliation N71043c7dd5d34fc788ec33aae67c09fc
200 schema:familyName Graser
201 schema:givenName Gerson
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223442242.33
203 rdf:type schema:Person
204 sg:person.012556210757.82 schema:affiliation https://www.grid.ac/institutes/grid.418554.9
205 schema:familyName Wang
206 schema:givenName Rong
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012556210757.82
208 rdf:type schema:Person
209 sg:person.01324045763.29 schema:affiliation https://www.grid.ac/institutes/grid.423973.8
210 schema:familyName Rascle
211 schema:givenName Jean-Baptiste
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324045763.29
213 rdf:type schema:Person
214 sg:person.01365620262.18 schema:affiliation https://www.grid.ac/institutes/grid.423973.8
215 schema:familyName Capt
216 schema:givenName Annabelle
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365620262.18
218 rdf:type schema:Person
219 sg:person.016151570560.64 schema:affiliation N96e4bff4776849cdaef98285da04ebc6
220 schema:familyName Pereira Mouriès
221 schema:givenName Lucilia
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016151570560.64
223 rdf:type schema:Person
224 sg:person.0632211251.18 schema:affiliation https://www.grid.ac/institutes/grid.416832.a
225 schema:familyName Ladics
226 schema:givenName Gregory
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632211251.18
228 rdf:type schema:Person
229 sg:person.0670750635.18 schema:affiliation https://www.grid.ac/institutes/grid.418554.9
230 schema:familyName Glenn
231 schema:givenName Kevin
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670750635.18
233 rdf:type schema:Person
234 sg:person.0700324451.96 schema:affiliation N09b414acae0b47cdacb7491fa029faf7
235 schema:familyName McClain
236 schema:givenName Scott
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700324451.96
238 rdf:type schema:Person
239 sg:pub.10.1038/nbt1096-1269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038488401
240 https://doi.org/10.1038/nbt1096-1269
241 rdf:type schema:CreativeWork
242 sg:pub.10.1038/nbt1343 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012795781
243 https://doi.org/10.1038/nbt1343
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1002/mnfr.200600231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005532459
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1002/mnfr.201500769 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017150990
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/j.jaci.2006.10.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002324022
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/j.jaci.2014.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052123676
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/j.yrtph.2003.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042881923
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/j.yrtph.2009.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001176596
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1016/s0091-6749(03)02016-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030849979
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1021/jf020599h schema:sameAs https://app.dimensions.ai/details/publication/pub.1031089995
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1021/jf980351l schema:sameAs https://app.dimensions.ai/details/publication/pub.1055930368
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1046/j.1365-2567.1999.00696.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024016137
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1067/mai.2000.108499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001483592
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1080/09637480601149640 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001424674
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1080/10408398.2013.779569 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036033796
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1093/toxsci/55.2.235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002419323
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1111/all.12836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004451832
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1111/j.1365-2222.2006.02453.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021145587
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1111/j.1749-6632.2002.tb04135.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004406817
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1159/000086420 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026141444
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1159/000316346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021688500
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1159/000318864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032209401
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1159/000371657 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001580595
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1289/ehp.5812 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064741628
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1371/journal.pone.0171926 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083844344
290 rdf:type schema:CreativeWork
291 https://www.grid.ac/institutes/grid.292487.2 schema:alternateName Pioneer Hi-Bred
292 schema:name DuPont Pioneer, DuPont Johnston Research and Development Center, 50131, Johnston, IA, USA
293 rdf:type schema:Organization
294 https://www.grid.ac/institutes/grid.411646.0 schema:alternateName Gentofte Hospital
295 schema:name Allergy Clinic, Copenhagen University Hospital at Gentofte, Copenhagen, Denmark
296 rdf:type schema:Organization
297 https://www.grid.ac/institutes/grid.416832.a schema:alternateName DuPont (United States)
298 schema:name DuPont Haskell Laboratory, 19711, Newark, DE, USA
299 rdf:type schema:Organization
300 https://www.grid.ac/institutes/grid.418554.9 schema:alternateName Monsanto (United States)
301 schema:name Regulatory Division, Product Characterization Center, Monsanto Co., St. Louis, MO, USA
302 rdf:type schema:Organization
303 https://www.grid.ac/institutes/grid.418574.b schema:alternateName Dow Chemical Company (United States)
304 schema:name Dow AgroSciences LLC, 46268, Indianapolis, IN, USA
305 rdf:type schema:Organization
306 https://www.grid.ac/institutes/grid.423973.8 schema:alternateName Bayer (France)
307 schema:name Bayer S.A.S, Bayer CropScience, Sophia Antipolis, France
308 rdf:type schema:Organization
309 https://www.grid.ac/institutes/grid.5650.6 schema:alternateName Academic Medical Center
310 schema:name Department of Experimental Immunology, Academic Medical Center (AMC), Amsterdam, The Netherlands
311 Department of Medical Biochemistry, Academic Medical Center (AMC), Amsterdam, The Netherlands
312 Department of Otorhinolaryngology, Academic Medical Center (AMC), Amsterdam, The Netherlands
313 rdf:type schema:Organization
314 https://www.grid.ac/institutes/grid.7692.a schema:alternateName University Medical Center Utrecht
315 schema:name Department of Dermatology and Allergology, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands
316 rdf:type schema:Organization
 




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


...