Exploring the mechanisms of resistance to Teladorsagia circumcincta infection in sheep through transcriptome analysis of abomasal mucosa and abomasal lymph ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Praveen K. Chitneedi, Aroa Suárez-Vega, María Martínez-Valladares, Juan José Arranz, Beatriz Gutiérrez-Gil

ABSTRACT

The present study exploited the RNA-seq technology to analyze the transcriptome of target tissues affected by the Teladorsagia circumcincta infection in two groups of adult ewes showing different statuses against gastrointestinal nematode (GIN) infection with the aim of identifying genes linked to GIN infection resistance in sheep. For this, based on the accumulated faecal egg count of 18 adult Churra ewes subjected to a first experimental infection with T. circumcincta, six ewes were classified as resistant and six others as susceptible to the infection. These 12 animals were dewormed and infected again. After humanitarian sacrifice of these 12 animals at day 7 post-infection, RNA samples were obtained from abomasal mucosa and lymph node tissues and RNA-Seq datasets were generated using an Illumina HiSeq 2000 sequencer. The distribution of the genes based on their expression level were very similar among the two different tissues and conditions. The differential expression analysis performed with two software (DESeq and EdgeR) only identified common differentially expressed genes (DEGs), a total of 106, in the lymph node samples which were considered as GIN-activated. The enrichment analysis performed for these GIN-activated genes identified some pathways related to cytokine-mediated immune response and the PPARG signaling pathway as well as disease terms related to inflammation and gastro-intestinal diseases as enriched. A systematic comparison with the results of previous studies confirmed the involvement of genes such as ITLN2, CLAC1 and galectins, in the immune mechanism activated against T. circumcincta in resistant sheep. More... »

PAGES

39

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13567-018-0534-x

DOI

http://dx.doi.org/10.1186/s13567-018-0534-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103669535

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29703268


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/2008/1107", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Immunology", 
        "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": "Abomasum", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Base Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gastric Mucosa", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymph Nodes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ostertagia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ostertagiasis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sheep", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sheep Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transcriptome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Trichostrongyloidea", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Trichostrongyloidiasis", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Leon", 
          "id": "https://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "Departamento de Producci\u00f3n Animal, Facultad de Veterinaria, Universidad de Le\u00f3n, Campus de Vegazana s/n, 24071, Le\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chitneedi", 
        "givenName": "Praveen K.", 
        "id": "sg:person.013625732447.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013625732447.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Leon", 
          "id": "https://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "Departamento de Producci\u00f3n Animal, Facultad de Veterinaria, Universidad de Le\u00f3n, Campus de Vegazana s/n, 24071, Le\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Su\u00e1rez-Vega", 
        "givenName": "Aroa", 
        "id": "sg:person.01052140246.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052140246.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Leon", 
          "id": "https://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "Departamento de Producci\u00f3n Animal, Facultad de Veterinaria, Universidad de Le\u00f3n, Campus de Vegazana s/n, 24071, Le\u00f3n, Spain", 
            "Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad de Le\u00f3n, Campus de Vegazana s/n, 24071, Le\u00f3n, Spain", 
            "Instituto de Ganader\u00eda de Monta\u00f1a, CSIC-Universidad de Le\u00f3n, 24346, Le\u00f3n, Grulleros, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mart\u00ednez-Valladares", 
        "givenName": "Mar\u00eda", 
        "id": "sg:person.0641356023.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641356023.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Leon", 
          "id": "https://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "Departamento de Producci\u00f3n Animal, Facultad de Veterinaria, Universidad de Le\u00f3n, Campus de Vegazana s/n, 24071, Le\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Arranz", 
        "givenName": "Juan Jos\u00e9", 
        "id": "sg:person.01162126320.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162126320.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Leon", 
          "id": "https://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "Departamento de Producci\u00f3n Animal, Facultad de Veterinaria, Universidad de Le\u00f3n, Campus de Vegazana s/n, 24071, Le\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guti\u00e9rrez-Gil", 
        "givenName": "Beatriz", 
        "id": "sg:person.01114401664.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114401664.86"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/ejhg.2012.129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001315736", 
          "https://doi.org/10.1038/ejhg.2012.129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1297-9716-42-114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002330549", 
          "https://doi.org/10.1186/1297-9716-42-114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-7-42", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007277590", 
          "https://doi.org/10.1186/1471-2164-7-42"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.vetimm.2007.07.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008881268"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpara.2007.07.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009659634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mrfmmm.2009.09.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010377777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12950-016-0113-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010901671", 
          "https://doi.org/10.1186/s12950-016-0113-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0031182002001531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012220716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpara.2009.09.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012369075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.semcdb.2007.07.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012535484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1471-4892(01)00044-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013871508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpara.2007.08.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014668195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-3024.2007.00958.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014972081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0020-7519(98)00179-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015202396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-3024.2003.00646.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017275643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12711-016-0182-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019170565", 
          "https://doi.org/10.1186/s12711-016-0182-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2052.2011.02202.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019505275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/vetres/2009035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020345302"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/vetres/2009035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020345302"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-12-323", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021902674", 
          "https://doi.org/10.1186/1471-2105-12-323"
        ], 
        "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/10.1093/bioinformatics/btp616", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023247882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/iai.73.4.2175-2183.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023941307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep26200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024414453", 
          "https://doi.org/10.1038/srep26200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0020-7519(95)00105-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026156915"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.vetpar.2011.11.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027329649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0103207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027745843"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.2012.90", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027921406", 
          "https://doi.org/10.1038/hdy.2012.90"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/nu6104178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029110476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/iai.73.7.4025-4033.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029302850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-3024.2005.00769.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029504405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-3024.2005.00769.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029504405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro2146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029605726", 
          "https://doi.org/10.1038/nrmicro2146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro2146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029605726", 
          "https://doi.org/10.1038/nrmicro2146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2010-11-10-r106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031289083", 
          "https://doi.org/10.1186/gb-2010-11-10-r106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1297-9716-44-68", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031356160", 
          "https://doi.org/10.1186/1297-9716-44-68"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.vetpar.2016.05.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031516833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-15-637", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032676061", 
          "https://doi.org/10.1186/1471-2164-15-637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2013.099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033430059", 
          "https://doi.org/10.1038/nprot.2013.099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/jbg.12071", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033864047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1297-9686-41-46", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034187865", 
          "https://doi.org/10.1186/1297-9686-41-46"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1297-9716-42-78", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035506619", 
          "https://doi.org/10.1186/1297-9716-42-78"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkt439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037069232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.vetpar.2008.12.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037280143"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0145-305x(99)00020-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037521677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.vetimm.2006.03.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041841358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m200214200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046057725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/jas.2012-5121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048737432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btu638", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053282140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bts635", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053365587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/vetres:2006022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057072246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/vetres:2008035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057072368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/mi.2017.10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083855803", 
          "https://doi.org/10.1038/mi.2017.10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/sciimmunol.aal5196", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084221520"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "The present study exploited the RNA-seq technology to analyze the transcriptome of target tissues affected by the Teladorsagia circumcincta infection in two groups of adult ewes showing different statuses against gastrointestinal nematode (GIN) infection with the aim of identifying genes linked to GIN infection resistance in sheep. For this, based on the accumulated faecal egg count of 18 adult Churra ewes subjected to a first experimental infection with T. circumcincta, six ewes were classified as resistant and six others as susceptible to the infection. These 12 animals were dewormed and infected again. After humanitarian sacrifice of these 12 animals at day 7 post-infection, RNA samples were obtained from abomasal mucosa and lymph node tissues and RNA-Seq datasets were generated using an Illumina HiSeq 2000 sequencer. The distribution of the genes based on their expression level were very similar among the two different tissues and conditions. The differential expression analysis performed with two software (DESeq and EdgeR) only identified common differentially expressed genes (DEGs), a total of 106, in the lymph node samples which were considered as GIN-activated. The enrichment analysis performed for these GIN-activated genes identified some pathways related to cytokine-mediated immune response and the PPARG signaling pathway as well as disease terms related to inflammation and gastro-intestinal diseases as enriched. A systematic comparison with the results of previous studies confirmed the involvement of genes such as ITLN2, CLAC1 and galectins, in the immune mechanism activated against T. circumcincta in resistant sheep.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13567-018-0534-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1015868", 
        "issn": [
          "0928-4249", 
          "1297-9716"
        ], 
        "name": "Veterinary Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "49"
      }
    ], 
    "name": "Exploring the mechanisms of resistance to Teladorsagia circumcincta infection in sheep through transcriptome analysis of abomasal mucosa and abomasal lymph nodes", 
    "pagination": "39", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "36b3b99ee9828d2be0cbbe40fa286ee1798c4e93fc3046044362491a07a91b7e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29703268"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9309551"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13567-018-0534-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103669535"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13567-018-0534-x", 
      "https://app.dimensions.ai/details/publication/pub.1103669535"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:01", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000347_0000000347/records_89819_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13567-018-0534-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13567-018-0534-x'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13567-018-0534-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13567-018-0534-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13567-018-0534-x'


 

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

320 TRIPLES      21 PREDICATES      93 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13567-018-0534-x schema:about N448d85ba402f4ed2ab24fdd16f37975e
2 N4c833823888a4fc88ffddba477f8d694
3 N4eb590ab2f7740649941f77de87d5097
4 N5b3f30086f384f2ba4a6d8f90d6b217b
5 N70ae637be8f343d4b0868b4a8c37fd38
6 N96f6a1c6f1d245b88006cff3bb50819b
7 N97bfe4f0170a43c383c99315c8e78270
8 Nbaf378db80cf4b38840033aa9e58b592
9 Nbbd8d36079164e12ac7b7ea6031d70c7
10 Nd445e20c8ea848809bfd3c53d2d990cd
11 Ndd31fe8a2fea4810af31e46a6eec9ba8
12 Ne9e9a5fbd8bb4a119ae7aff4c1df955d
13 Nfe7ab9f0ba564658bac5bb3b5ffbcbad
14 anzsrc-for:11
15 anzsrc-for:1107
16 schema:author Ne322cc7d8c7946e0b7744cafd18c8236
17 schema:citation sg:pub.10.1038/ejhg.2012.129
18 sg:pub.10.1038/hdy.2012.90
19 sg:pub.10.1038/mi.2017.10
20 sg:pub.10.1038/nprot.2013.099
21 sg:pub.10.1038/nrmicro2146
22 sg:pub.10.1038/srep26200
23 sg:pub.10.1186/1297-9686-41-46
24 sg:pub.10.1186/1297-9716-42-114
25 sg:pub.10.1186/1297-9716-42-78
26 sg:pub.10.1186/1297-9716-44-68
27 sg:pub.10.1186/1471-2105-12-323
28 sg:pub.10.1186/1471-2164-15-637
29 sg:pub.10.1186/1471-2164-7-42
30 sg:pub.10.1186/gb-2010-11-10-r106
31 sg:pub.10.1186/s12711-016-0182-4
32 sg:pub.10.1186/s12950-016-0113-8
33 https://doi.org/10.1016/0020-7519(95)00105-0
34 https://doi.org/10.1016/j.ijpara.2007.07.012
35 https://doi.org/10.1016/j.ijpara.2007.08.015
36 https://doi.org/10.1016/j.ijpara.2009.09.007
37 https://doi.org/10.1016/j.mrfmmm.2009.09.009
38 https://doi.org/10.1016/j.semcdb.2007.07.003
39 https://doi.org/10.1016/j.vetimm.2006.03.012
40 https://doi.org/10.1016/j.vetimm.2007.07.004
41 https://doi.org/10.1016/j.vetpar.2008.12.023
42 https://doi.org/10.1016/j.vetpar.2011.11.001
43 https://doi.org/10.1016/j.vetpar.2016.05.014
44 https://doi.org/10.1016/s0020-7519(98)00179-9
45 https://doi.org/10.1016/s0145-305x(99)00020-8
46 https://doi.org/10.1016/s1471-4892(01)00044-3
47 https://doi.org/10.1017/s0031182002001531
48 https://doi.org/10.1046/j.1365-3024.2003.00646.x
49 https://doi.org/10.1051/vetres/2009035
50 https://doi.org/10.1051/vetres:2006022
51 https://doi.org/10.1051/vetres:2008035
52 https://doi.org/10.1074/jbc.m200214200
53 https://doi.org/10.1093/bioinformatics/btp352
54 https://doi.org/10.1093/bioinformatics/btp616
55 https://doi.org/10.1093/bioinformatics/bts635
56 https://doi.org/10.1093/bioinformatics/btu638
57 https://doi.org/10.1093/nar/gkt439
58 https://doi.org/10.1111/j.1365-2052.2011.02202.x
59 https://doi.org/10.1111/j.1365-3024.2005.00769.x
60 https://doi.org/10.1111/j.1365-3024.2007.00958.x
61 https://doi.org/10.1111/jbg.12071
62 https://doi.org/10.1126/sciimmunol.aal5196
63 https://doi.org/10.1128/iai.73.4.2175-2183.2005
64 https://doi.org/10.1128/iai.73.7.4025-4033.2005
65 https://doi.org/10.1371/journal.pone.0103207
66 https://doi.org/10.2527/jas.2012-5121
67 https://doi.org/10.3390/nu6104178
68 schema:datePublished 2018-12
69 schema:datePublishedReg 2018-12-01
70 schema:description The present study exploited the RNA-seq technology to analyze the transcriptome of target tissues affected by the Teladorsagia circumcincta infection in two groups of adult ewes showing different statuses against gastrointestinal nematode (GIN) infection with the aim of identifying genes linked to GIN infection resistance in sheep. For this, based on the accumulated faecal egg count of 18 adult Churra ewes subjected to a first experimental infection with T. circumcincta, six ewes were classified as resistant and six others as susceptible to the infection. These 12 animals were dewormed and infected again. After humanitarian sacrifice of these 12 animals at day 7 post-infection, RNA samples were obtained from abomasal mucosa and lymph node tissues and RNA-Seq datasets were generated using an Illumina HiSeq 2000 sequencer. The distribution of the genes based on their expression level were very similar among the two different tissues and conditions. The differential expression analysis performed with two software (DESeq and EdgeR) only identified common differentially expressed genes (DEGs), a total of 106, in the lymph node samples which were considered as GIN-activated. The enrichment analysis performed for these GIN-activated genes identified some pathways related to cytokine-mediated immune response and the PPARG signaling pathway as well as disease terms related to inflammation and gastro-intestinal diseases as enriched. A systematic comparison with the results of previous studies confirmed the involvement of genes such as ITLN2, CLAC1 and galectins, in the immune mechanism activated against T. circumcincta in resistant sheep.
71 schema:genre research_article
72 schema:inLanguage en
73 schema:isAccessibleForFree true
74 schema:isPartOf N2267be057b914af2881ebd1f24cc9942
75 Nfef0a5ec5277438489c2b668a1660ce7
76 sg:journal.1015868
77 schema:name Exploring the mechanisms of resistance to Teladorsagia circumcincta infection in sheep through transcriptome analysis of abomasal mucosa and abomasal lymph nodes
78 schema:pagination 39
79 schema:productId N45ed89c724464347ac0e78bbd5ac88cc
80 N46ffdacd615e4dbca91afaa10b21cc54
81 N601e5e3ef271479c8a7d7256aa05d728
82 Nbed0afd5835f490eb520a40bd614ea25
83 Nd1995a4b4e204dbc8c77bf798497b451
84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103669535
85 https://doi.org/10.1186/s13567-018-0534-x
86 schema:sdDatePublished 2019-04-11T10:01
87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
88 schema:sdPublisher N4a05d1530d644226a0b728dca689c54e
89 schema:url https://link.springer.com/10.1186%2Fs13567-018-0534-x
90 sgo:license sg:explorer/license/
91 sgo:sdDataset articles
92 rdf:type schema:ScholarlyArticle
93 N10f6ba9f5314494cb2c787eba28562f8 rdf:first sg:person.0641356023.33
94 rdf:rest N7bbf97a9ab3f4810848ffff02b7fc967
95 N2267be057b914af2881ebd1f24cc9942 schema:issueNumber 1
96 rdf:type schema:PublicationIssue
97 N448d85ba402f4ed2ab24fdd16f37975e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Animals
99 rdf:type schema:DefinedTerm
100 N45ed89c724464347ac0e78bbd5ac88cc schema:name pubmed_id
101 schema:value 29703268
102 rdf:type schema:PropertyValue
103 N46ffdacd615e4dbca91afaa10b21cc54 schema:name readcube_id
104 schema:value 36b3b99ee9828d2be0cbbe40fa286ee1798c4e93fc3046044362491a07a91b7e
105 rdf:type schema:PropertyValue
106 N4a05d1530d644226a0b728dca689c54e schema:name Springer Nature - SN SciGraph project
107 rdf:type schema:Organization
108 N4c833823888a4fc88ffddba477f8d694 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Ostertagiasis
110 rdf:type schema:DefinedTerm
111 N4eb590ab2f7740649941f77de87d5097 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Sheep
113 rdf:type schema:DefinedTerm
114 N5b3f30086f384f2ba4a6d8f90d6b217b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Abomasum
116 rdf:type schema:DefinedTerm
117 N601e5e3ef271479c8a7d7256aa05d728 schema:name nlm_unique_id
118 schema:value 9309551
119 rdf:type schema:PropertyValue
120 N70ae637be8f343d4b0868b4a8c37fd38 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Sheep Diseases
122 rdf:type schema:DefinedTerm
123 N7bbf97a9ab3f4810848ffff02b7fc967 rdf:first sg:person.01162126320.22
124 rdf:rest Naa07a9189cc747c4bb95b4126a50403e
125 N8b7acb208cda4a5abb614a6a5c4938a2 rdf:first sg:person.01052140246.90
126 rdf:rest N10f6ba9f5314494cb2c787eba28562f8
127 N96f6a1c6f1d245b88006cff3bb50819b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Female
129 rdf:type schema:DefinedTerm
130 N97bfe4f0170a43c383c99315c8e78270 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Gastric Mucosa
132 rdf:type schema:DefinedTerm
133 Naa07a9189cc747c4bb95b4126a50403e rdf:first sg:person.01114401664.86
134 rdf:rest rdf:nil
135 Nbaf378db80cf4b38840033aa9e58b592 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Trichostrongyloidea
137 rdf:type schema:DefinedTerm
138 Nbbd8d36079164e12ac7b7ea6031d70c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Transcriptome
140 rdf:type schema:DefinedTerm
141 Nbed0afd5835f490eb520a40bd614ea25 schema:name dimensions_id
142 schema:value pub.1103669535
143 rdf:type schema:PropertyValue
144 Nd1995a4b4e204dbc8c77bf798497b451 schema:name doi
145 schema:value 10.1186/s13567-018-0534-x
146 rdf:type schema:PropertyValue
147 Nd445e20c8ea848809bfd3c53d2d990cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Lymph Nodes
149 rdf:type schema:DefinedTerm
150 Ndd31fe8a2fea4810af31e46a6eec9ba8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Ostertagia
152 rdf:type schema:DefinedTerm
153 Ne322cc7d8c7946e0b7744cafd18c8236 rdf:first sg:person.013625732447.44
154 rdf:rest N8b7acb208cda4a5abb614a6a5c4938a2
155 Ne9e9a5fbd8bb4a119ae7aff4c1df955d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Base Sequence
157 rdf:type schema:DefinedTerm
158 Nfe7ab9f0ba564658bac5bb3b5ffbcbad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Trichostrongyloidiasis
160 rdf:type schema:DefinedTerm
161 Nfef0a5ec5277438489c2b668a1660ce7 schema:volumeNumber 49
162 rdf:type schema:PublicationVolume
163 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
164 schema:name Medical and Health Sciences
165 rdf:type schema:DefinedTerm
166 anzsrc-for:1107 schema:inDefinedTermSet anzsrc-for:
167 schema:name Immunology
168 rdf:type schema:DefinedTerm
169 sg:journal.1015868 schema:issn 0928-4249
170 1297-9716
171 schema:name Veterinary Research
172 rdf:type schema:Periodical
173 sg:person.01052140246.90 schema:affiliation https://www.grid.ac/institutes/grid.4807.b
174 schema:familyName Suárez-Vega
175 schema:givenName Aroa
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052140246.90
177 rdf:type schema:Person
178 sg:person.01114401664.86 schema:affiliation https://www.grid.ac/institutes/grid.4807.b
179 schema:familyName Gutiérrez-Gil
180 schema:givenName Beatriz
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114401664.86
182 rdf:type schema:Person
183 sg:person.01162126320.22 schema:affiliation https://www.grid.ac/institutes/grid.4807.b
184 schema:familyName Arranz
185 schema:givenName Juan José
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162126320.22
187 rdf:type schema:Person
188 sg:person.013625732447.44 schema:affiliation https://www.grid.ac/institutes/grid.4807.b
189 schema:familyName Chitneedi
190 schema:givenName Praveen K.
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013625732447.44
192 rdf:type schema:Person
193 sg:person.0641356023.33 schema:affiliation https://www.grid.ac/institutes/grid.4807.b
194 schema:familyName Martínez-Valladares
195 schema:givenName María
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641356023.33
197 rdf:type schema:Person
198 sg:pub.10.1038/ejhg.2012.129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001315736
199 https://doi.org/10.1038/ejhg.2012.129
200 rdf:type schema:CreativeWork
201 sg:pub.10.1038/hdy.2012.90 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027921406
202 https://doi.org/10.1038/hdy.2012.90
203 rdf:type schema:CreativeWork
204 sg:pub.10.1038/mi.2017.10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083855803
205 https://doi.org/10.1038/mi.2017.10
206 rdf:type schema:CreativeWork
207 sg:pub.10.1038/nprot.2013.099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033430059
208 https://doi.org/10.1038/nprot.2013.099
209 rdf:type schema:CreativeWork
210 sg:pub.10.1038/nrmicro2146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029605726
211 https://doi.org/10.1038/nrmicro2146
212 rdf:type schema:CreativeWork
213 sg:pub.10.1038/srep26200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024414453
214 https://doi.org/10.1038/srep26200
215 rdf:type schema:CreativeWork
216 sg:pub.10.1186/1297-9686-41-46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034187865
217 https://doi.org/10.1186/1297-9686-41-46
218 rdf:type schema:CreativeWork
219 sg:pub.10.1186/1297-9716-42-114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002330549
220 https://doi.org/10.1186/1297-9716-42-114
221 rdf:type schema:CreativeWork
222 sg:pub.10.1186/1297-9716-42-78 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035506619
223 https://doi.org/10.1186/1297-9716-42-78
224 rdf:type schema:CreativeWork
225 sg:pub.10.1186/1297-9716-44-68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031356160
226 https://doi.org/10.1186/1297-9716-44-68
227 rdf:type schema:CreativeWork
228 sg:pub.10.1186/1471-2105-12-323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021902674
229 https://doi.org/10.1186/1471-2105-12-323
230 rdf:type schema:CreativeWork
231 sg:pub.10.1186/1471-2164-15-637 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032676061
232 https://doi.org/10.1186/1471-2164-15-637
233 rdf:type schema:CreativeWork
234 sg:pub.10.1186/1471-2164-7-42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007277590
235 https://doi.org/10.1186/1471-2164-7-42
236 rdf:type schema:CreativeWork
237 sg:pub.10.1186/gb-2010-11-10-r106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031289083
238 https://doi.org/10.1186/gb-2010-11-10-r106
239 rdf:type schema:CreativeWork
240 sg:pub.10.1186/s12711-016-0182-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019170565
241 https://doi.org/10.1186/s12711-016-0182-4
242 rdf:type schema:CreativeWork
243 sg:pub.10.1186/s12950-016-0113-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010901671
244 https://doi.org/10.1186/s12950-016-0113-8
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/0020-7519(95)00105-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026156915
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/j.ijpara.2007.07.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009659634
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/j.ijpara.2007.08.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014668195
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1016/j.ijpara.2009.09.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012369075
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1016/j.mrfmmm.2009.09.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010377777
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1016/j.semcdb.2007.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012535484
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1016/j.vetimm.2006.03.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041841358
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1016/j.vetimm.2007.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008881268
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1016/j.vetpar.2008.12.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037280143
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1016/j.vetpar.2011.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027329649
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1016/j.vetpar.2016.05.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031516833
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1016/s0020-7519(98)00179-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015202396
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1016/s0145-305x(99)00020-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037521677
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1016/s1471-4892(01)00044-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013871508
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1017/s0031182002001531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012220716
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1046/j.1365-3024.2003.00646.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017275643
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1051/vetres/2009035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020345302
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1051/vetres:2006022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057072246
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1051/vetres:2008035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057072368
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1074/jbc.m200214200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046057725
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1093/bioinformatics/btp352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023014918
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1093/bioinformatics/btp616 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023247882
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1093/bioinformatics/bts635 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053365587
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1093/bioinformatics/btu638 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053282140
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1093/nar/gkt439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037069232
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1111/j.1365-2052.2011.02202.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019505275
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1111/j.1365-3024.2005.00769.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029504405
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1111/j.1365-3024.2007.00958.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014972081
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1111/jbg.12071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033864047
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1126/sciimmunol.aal5196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084221520
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1128/iai.73.4.2175-2183.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023941307
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1128/iai.73.7.4025-4033.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029302850
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1371/journal.pone.0103207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027745843
311 rdf:type schema:CreativeWork
312 https://doi.org/10.2527/jas.2012-5121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048737432
313 rdf:type schema:CreativeWork
314 https://doi.org/10.3390/nu6104178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029110476
315 rdf:type schema:CreativeWork
316 https://www.grid.ac/institutes/grid.4807.b schema:alternateName University of Leon
317 schema:name Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, 24071, León, Spain
318 Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, 24071, León, Spain
319 Instituto de Ganadería de Montaña, CSIC-Universidad de León, 24346, León, Grulleros, Spain
320 rdf:type schema:Organization
 




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


...