Chromatin states define tumour-specific T cell dysfunction and reprogramming View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-05

AUTHORS

Mary Philip, Lauren Fairchild, Liping Sun, Ellen L. Horste, Steven Camara, Mojdeh Shakiba, Andrew C. Scott, Agnes Viale, Peter Lauer, Taha Merghoub, Matthew D. Hellmann, Jedd D. Wolchok, Christina S. Leslie, Andrea Schietinger

ABSTRACT

Tumour-specific CD8 T cells in solid tumours are dysfunctional, allowing tumours to progress. The epigenetic regulation of T cell dysfunction and therapeutic reprogrammability (for example, to immune checkpoint blockade) is not well understood. Here we show that T cells in mouse tumours differentiate through two discrete chromatin states: a plastic dysfunctional state from which T cells can be rescued, and a fixed dysfunctional state in which the cells are resistant to reprogramming. We identified surface markers associated with each chromatin state that distinguished reprogrammable from non-reprogrammable PD1hi dysfunctional T cells within heterogeneous T cell populations from tumours in mice; these surface markers were also expressed on human PD1hi tumour-infiltrating CD8 T cells. Our study has important implications for cancer immunotherapy as we define key transcription factors and epigenetic programs underlying T cell dysfunction and surface markers that predict therapeutic reprogrammability. More... »

PAGES

452

References to SciGraph publications

  • 2015-12. Genome-wide comparative analysis reveals human-mouse regulatory landscape and evolution in BMC GENOMICS
  • 2005-06. NFAT proteins: key regulators of T-cell development and function in NATURE REVIEWS IMMUNOLOGY
  • 2010-10. Differential expression analysis for sequence count data in GENOME BIOLOGY
  • 1968-12. Cellular and Humoral immunity to Different Types of Human Neoplasms in NATURE
  • 2008-11. Model-based Analysis of ChIP-Seq (MACS) in GENOME BIOLOGY
  • 2016-05. The future of cancer treatment: immunomodulation, CARs and combination immunotherapy in NATURE REVIEWS CLINICAL ONCOLOGY
  • 2009-07. Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cells in NATURE MEDICINE
  • 2010-12. Rapid, low-input, low-bias construction of shotgun fragment libraries by high-density in vitro transposition in GENOME BIOLOGY
  • 2014-12. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 in GENOME BIOLOGY
  • 2013-04. Transcriptional insights into the CD8+ T cell response to infection and memory T cell formation in NATURE IMMUNOLOGY
  • 2012-04. Fast gapped-read alignment with Bowtie 2 in NATURE METHODS
  • 2010-05. GREAT improves functional interpretation of cis-regulatory regions in NATURE BIOTECHNOLOGY
  • 2016-07. Ki-67 acts as a biological surfactant to disperse mitotic chromosomes in NATURE
  • 2011-01. Integrative genomics viewer in NATURE BIOTECHNOLOGY
  • 2012-11. Transcriptional control of effector and memory CD8+ T cell differentiation in NATURE REVIEWS IMMUNOLOGY
  • 2013-12. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position in NATURE METHODS
  • 1993-09. The T-cell transcription factor NFATp is a substrate for calcineurin and interacts with Fos and Jun in NATURE
  • 1991-08. Nuclear association of a T-cell transcription factor blocked by FK-506 and cyclosporin A in NATURE
  • 2006-03. Interleukin-15 rescues tolerant CD8+ T cells for use in adoptive immunotherapy of established tumors in NATURE MEDICINE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nature22367

    DOI

    http://dx.doi.org/10.1038/nature22367

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1085428066

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28514453


    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": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "CD8-Positive T-Lymphocytes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromatin", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Epigenesis, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Profiling", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Regulation, Neoplastic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Immunologic Memory", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lymphocytes, Tumor-Infiltrating", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mice", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Transcription Factors", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Memorial Sloan Kettering Cancer Center", 
              "id": "https://www.grid.ac/institutes/grid.51462.34", 
              "name": [
                "Immunology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Philip", 
            "givenName": "Mary", 
            "id": "sg:person.01051040226.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051040226.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Cornell University", 
              "id": "https://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA", 
                "Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medical College, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fairchild", 
            "givenName": "Lauren", 
            "id": "sg:person.0761477065.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761477065.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Memorial Sloan Kettering Cancer Center", 
              "id": "https://www.grid.ac/institutes/grid.51462.34", 
              "name": [
                "Integrated Genomics Operation, Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sun", 
            "givenName": "Liping", 
            "id": "sg:person.010550656747.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010550656747.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Memorial Sloan Kettering Cancer Center", 
              "id": "https://www.grid.ac/institutes/grid.51462.34", 
              "name": [
                "Immunology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Horste", 
            "givenName": "Ellen L.", 
            "id": "sg:person.011463571343.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011463571343.27"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Memorial Sloan Kettering Cancer Center", 
              "id": "https://www.grid.ac/institutes/grid.51462.34", 
              "name": [
                "Immunology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Camara", 
            "givenName": "Steven", 
            "id": "sg:person.012143617747.98", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012143617747.98"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Cornell University", 
              "id": "https://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "Immunology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA", 
                "Weill Cornell Medical College, Cornell University, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shakiba", 
            "givenName": "Mojdeh", 
            "id": "sg:person.0663222520.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663222520.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Cornell University", 
              "id": "https://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "Immunology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA", 
                "Weill Cornell Medical College, Cornell University, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Scott", 
            "givenName": "Andrew C.", 
            "id": "sg:person.012611021207.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012611021207.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Memorial Sloan Kettering Cancer Center", 
              "id": "https://www.grid.ac/institutes/grid.51462.34", 
              "name": [
                "Integrated Genomics Operation, Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Viale", 
            "givenName": "Agnes", 
            "id": "sg:person.0712021032.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712021032.88"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Aduro BioTech (United States)", 
              "id": "https://www.grid.ac/institutes/grid.417411.6", 
              "name": [
                "Aduro Biotech, Inc., Berkeley, California 94720, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lauer", 
            "givenName": "Peter", 
            "id": "sg:person.01323526711.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323526711.45"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Memorial Sloan Kettering Cancer Center", 
              "id": "https://www.grid.ac/institutes/grid.51462.34", 
              "name": [
                "Weill Cornell Medical College, Cornell University, New York, New York 10065, USA", 
                "Melanoma and Immunotherapeutics Service, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Merghoub", 
            "givenName": "Taha", 
            "id": "sg:person.01046024744.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046024744.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Memorial Sloan Kettering Cancer Center", 
              "id": "https://www.grid.ac/institutes/grid.51462.34", 
              "name": [
                "Weill Cornell Medical College, Cornell University, New York, New York 10065, USA", 
                "Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hellmann", 
            "givenName": "Matthew D.", 
            "id": "sg:person.01144511464.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144511464.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Memorial Sloan Kettering Cancer Center", 
              "id": "https://www.grid.ac/institutes/grid.51462.34", 
              "name": [
                "Weill Cornell Medical College, Cornell University, New York, New York 10065, USA", 
                "Melanoma and Immunotherapeutics Service, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA", 
                "Ludwig Center for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wolchok", 
            "givenName": "Jedd D.", 
            "id": "sg:person.0645565266.33", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645565266.33"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Memorial Sloan Kettering Cancer Center", 
              "id": "https://www.grid.ac/institutes/grid.51462.34", 
              "name": [
                "Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Leslie", 
            "givenName": "Christina S.", 
            "id": "sg:person.01250016667.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250016667.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Cornell University", 
              "id": "https://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "Immunology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA", 
                "Weill Cornell Medical College, Cornell University, New York, New York 10065, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schietinger", 
            "givenName": "Andrea", 
            "id": "sg:person.01150534503.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150534503.18"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/352803a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002286064", 
              "https://doi.org/10.1038/352803a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2012.01.056", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003948533"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkj144", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005091941"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1923", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006541515", 
              "https://doi.org/10.1038/nmeth.1923"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri1632", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007108279", 
              "https://doi.org/10.1038/nri1632"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri1632", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007108279", 
              "https://doi.org/10.1038/nri1632"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri1632", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007108279", 
              "https://doi.org/10.1038/nri1632"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkp335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007915246"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkp335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007915246"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4049/jimmunol.1600589", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010158645"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.1982", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011471951", 
              "https://doi.org/10.1038/nm.1982"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.1982", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011471951", 
              "https://doi.org/10.1038/nm.1982"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0550-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015222646", 
              "https://doi.org/10.1186/s13059-014-0550-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0550-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015222646", 
              "https://doi.org/10.1186/s13059-014-0550-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature18610", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016053982", 
              "https://doi.org/10.1038/nature18610"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri3307", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016124947", 
              "https://doi.org/10.1038/nri3307"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4049/jimmunol.1301395", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016599831"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.imlet.2009.01.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016928234"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.immuni.2014.11.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018644664"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1754", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019307928", 
              "https://doi.org/10.1038/nbt.1754"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmoa1406498", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020435459"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.2688", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020615304", 
              "https://doi.org/10.1038/nmeth.2688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.2688", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020615304", 
              "https://doi.org/10.1038/nmeth.2688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm1359", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021773024", 
              "https://doi.org/10.1038/nm1359"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm1359", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021773024", 
              "https://doi.org/10.1038/nm1359"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aaf2807", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022846243"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12864-015-1245-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023000819", 
              "https://doi.org/10.1186/s12864-015-1245-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12864-015-1245-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023000819", 
              "https://doi.org/10.1186/s12864-015-1245-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1630", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023421025", 
              "https://doi.org/10.1038/nbt.1630"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molonc.2014.07.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026287832"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0406035101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026955438"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2008-9-9-r137", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027608848", 
              "https://doi.org/10.1186/gb-2008-9-9-r137"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aae0491", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027948352"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pcbi.1003118", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028412488"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.immuni.2016.07.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029532419"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2014.08.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031175368"
            ], 
            "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": "https://doi.org/10.1126/science.1214277", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031867473"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4049/jimmunol.180.12.8102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031994508"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2010-11-12-r119", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033784968", 
              "https://doi.org/10.1186/gb-2010-11-12-r119"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btr064", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034194664"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aaf6284", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035875579"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/cji.0b013e3181b0b125", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036123340"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/cji.0b013e3181b0b125", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036123340"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/cji.0b013e3181b0b125", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036123340"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btq033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036892131"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2016.04.029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037159343"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1112520108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037161441"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ni.2536", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037589063", 
              "https://doi.org/10.1038/ni.2536"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ccr.2013.03.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037598394"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrclinonc.2016.25", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038799790", 
              "https://doi.org/10.1038/nrclinonc.2016.25"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/365352a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039628910", 
              "https://doi.org/10.1038/365352a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.immuni.2016.10.028", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040054362"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/2201352a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044582198", 
              "https://doi.org/10.1038/2201352a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.immuni.2015.01.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047962387"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.immuni.2015.01.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047962387"
            ], 
            "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/10.1126/science.aaa1348", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062665078"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aaa1348", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062665078"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1214/11-aoas477", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064392172"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4049/jimmunol.171.2.697", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1075311942"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4049/jimmunol.0901101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1077989713"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-05", 
        "datePublishedReg": "2017-05-01", 
        "description": "Tumour-specific CD8 T cells in solid tumours are dysfunctional, allowing tumours to progress. The epigenetic regulation of T cell dysfunction and therapeutic reprogrammability (for example, to immune checkpoint blockade) is not well understood. Here we show that T cells in mouse tumours differentiate through two discrete chromatin states: a plastic dysfunctional state from which T cells can be rescued, and a fixed dysfunctional state in which the cells are resistant to reprogramming. We identified surface markers associated with each chromatin state that distinguished reprogrammable from non-reprogrammable PD1hi dysfunctional T cells within heterogeneous T cell populations from tumours in mice; these surface markers were also expressed on human PD1hi tumour-infiltrating CD8 T cells. Our study has important implications for cancer immunotherapy as we define key transcription factors and epigenetic programs underlying T cell dysfunction and surface markers that predict therapeutic reprogrammability.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/nature22367", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2411256", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2438793", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6376908", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3860044", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3867848", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1018957", 
            "issn": [
              "0090-0028", 
              "1476-4687"
            ], 
            "name": "Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "7655", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "545"
          }
        ], 
        "name": "Chromatin states define tumour-specific T cell dysfunction and reprogramming", 
        "pagination": "452", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "d609eeec14428ecdb3963c3d6f89e6c2022c4572c87cdb9b44e61d992867b83d"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "28514453"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "0410462"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/nature22367"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1085428066"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/nature22367", 
          "https://app.dimensions.ai/details/publication/pub.1085428066"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T12:07", 
        "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/v90/0000000360_0000000360/records_118344_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/nature22367"
      }
    ]
     

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

    HOW TO GET THIS DATA PROGRAMMATICALLY:

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

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nature22367'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nature22367'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nature22367'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nature22367'


     

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

    410 TRIPLES      21 PREDICATES      93 URIs      35 LITERALS      23 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/nature22367 schema:about N1f335f2fbc1d400a9ff606f9e0b10cc3
    2 N3263d6589d0c4a439caa783d648d0d4d
    3 N361f044ec6964fe196d9e47f58178893
    4 N3abe057af0f44d5f98e607fc50ef5e93
    5 N7898130f35cb42acabfc1d844875eb9f
    6 N84172c4a0f4b492381f37e6398adc5c7
    7 N868b63cd72e8440db58e8fc120c02a35
    8 Nadca2633fc7048c3ad1566dcfda85167
    9 Nb1379d179ab1419883d1554b4f5028c6
    10 Nb7d48d4c5ead481594ef20d9b0e4aca1
    11 Nbdc162eaf8ef408aa260778960088ba3
    12 Nc4adfadd6ee8483bb68a602869b511ff
    13 Nc8de559b1a544dadbc82f165a1b8edf5
    14 Nff8730775ea740a3b41f9bda22b0010c
    15 anzsrc-for:11
    16 anzsrc-for:1107
    17 schema:author N205fe69f878a4cbea82491536fa1104e
    18 schema:citation sg:pub.10.1038/2201352a0
    19 sg:pub.10.1038/352803a0
    20 sg:pub.10.1038/365352a0
    21 sg:pub.10.1038/nature18610
    22 sg:pub.10.1038/nbt.1630
    23 sg:pub.10.1038/nbt.1754
    24 sg:pub.10.1038/ni.2536
    25 sg:pub.10.1038/nm.1982
    26 sg:pub.10.1038/nm1359
    27 sg:pub.10.1038/nmeth.1923
    28 sg:pub.10.1038/nmeth.2688
    29 sg:pub.10.1038/nrclinonc.2016.25
    30 sg:pub.10.1038/nri1632
    31 sg:pub.10.1038/nri3307
    32 sg:pub.10.1186/gb-2008-9-9-r137
    33 sg:pub.10.1186/gb-2010-11-10-r106
    34 sg:pub.10.1186/gb-2010-11-12-r119
    35 sg:pub.10.1186/s12864-015-1245-6
    36 sg:pub.10.1186/s13059-014-0550-8
    37 https://doi.org/10.1016/j.ccr.2013.03.018
    38 https://doi.org/10.1016/j.cell.2012.01.056
    39 https://doi.org/10.1016/j.cell.2014.08.009
    40 https://doi.org/10.1016/j.cell.2016.04.029
    41 https://doi.org/10.1016/j.imlet.2009.01.011
    42 https://doi.org/10.1016/j.immuni.2014.11.001
    43 https://doi.org/10.1016/j.immuni.2015.01.006
    44 https://doi.org/10.1016/j.immuni.2016.07.011
    45 https://doi.org/10.1016/j.immuni.2016.10.028
    46 https://doi.org/10.1016/j.molonc.2014.07.011
    47 https://doi.org/10.1056/nejmoa1406498
    48 https://doi.org/10.1073/pnas.0406035101
    49 https://doi.org/10.1073/pnas.1112520108
    50 https://doi.org/10.1093/bioinformatics/btq033
    51 https://doi.org/10.1093/bioinformatics/btr064
    52 https://doi.org/10.1093/bioinformatics/bts635
    53 https://doi.org/10.1093/nar/gkj144
    54 https://doi.org/10.1093/nar/gkp335
    55 https://doi.org/10.1097/cji.0b013e3181b0b125
    56 https://doi.org/10.1126/science.1214277
    57 https://doi.org/10.1126/science.aaa1348
    58 https://doi.org/10.1126/science.aae0491
    59 https://doi.org/10.1126/science.aaf2807
    60 https://doi.org/10.1126/science.aaf6284
    61 https://doi.org/10.1214/11-aoas477
    62 https://doi.org/10.1371/journal.pcbi.1003118
    63 https://doi.org/10.4049/jimmunol.0901101
    64 https://doi.org/10.4049/jimmunol.1301395
    65 https://doi.org/10.4049/jimmunol.1600589
    66 https://doi.org/10.4049/jimmunol.171.2.697
    67 https://doi.org/10.4049/jimmunol.180.12.8102
    68 schema:datePublished 2017-05
    69 schema:datePublishedReg 2017-05-01
    70 schema:description Tumour-specific CD8 T cells in solid tumours are dysfunctional, allowing tumours to progress. The epigenetic regulation of T cell dysfunction and therapeutic reprogrammability (for example, to immune checkpoint blockade) is not well understood. Here we show that T cells in mouse tumours differentiate through two discrete chromatin states: a plastic dysfunctional state from which T cells can be rescued, and a fixed dysfunctional state in which the cells are resistant to reprogramming. We identified surface markers associated with each chromatin state that distinguished reprogrammable from non-reprogrammable PD1<sup>hi</sup> dysfunctional T cells within heterogeneous T cell populations from tumours in mice; these surface markers were also expressed on human PD1<sup>hi</sup> tumour-infiltrating CD8 T cells. Our study has important implications for cancer immunotherapy as we define key transcription factors and epigenetic programs underlying T cell dysfunction and surface markers that predict therapeutic reprogrammability.
    71 schema:genre research_article
    72 schema:inLanguage en
    73 schema:isAccessibleForFree true
    74 schema:isPartOf N3520a46da16248eaba0ccee5803a9565
    75 N8e9d4d3c45e2468ca7a36b2598aa3761
    76 sg:journal.1018957
    77 schema:name Chromatin states define tumour-specific T cell dysfunction and reprogramming
    78 schema:pagination 452
    79 schema:productId N2e01759d09da416e953adb27ad04007a
    80 N96b68153a6304e3e8434e647dd91ec4c
    81 N9dd35c381b82424984a946496759050e
    82 Nd827d190295241d09911fa6f19c3b4e1
    83 Ne86c5c91e26f46d3969082dda0a7d111
    84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085428066
    85 https://doi.org/10.1038/nature22367
    86 schema:sdDatePublished 2019-04-11T12:07
    87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    88 schema:sdPublisher N823cedab5bc043c8bf98b121dd6dbfc8
    89 schema:url https://www.nature.com/articles/nature22367
    90 sgo:license sg:explorer/license/
    91 sgo:sdDataset articles
    92 rdf:type schema:ScholarlyArticle
    93 N1f335f2fbc1d400a9ff606f9e0b10cc3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    94 schema:name Male
    95 rdf:type schema:DefinedTerm
    96 N205fe69f878a4cbea82491536fa1104e rdf:first sg:person.01051040226.38
    97 rdf:rest Nfa167fafe6824821850fd7325539cec3
    98 N20c57e56166046349e7b4d30230fac54 rdf:first sg:person.012611021207.89
    99 rdf:rest N69ccc6a3752749858e4b18cfa92b8499
    100 N2e01759d09da416e953adb27ad04007a schema:name dimensions_id
    101 schema:value pub.1085428066
    102 rdf:type schema:PropertyValue
    103 N3263d6589d0c4a439caa783d648d0d4d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    104 schema:name Gene Expression Regulation, Neoplastic
    105 rdf:type schema:DefinedTerm
    106 N3520a46da16248eaba0ccee5803a9565 schema:volumeNumber 545
    107 rdf:type schema:PublicationVolume
    108 N361f044ec6964fe196d9e47f58178893 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    109 schema:name Female
    110 rdf:type schema:DefinedTerm
    111 N3956d573509b4e7cb13f22a99d44d3a7 rdf:first sg:person.0663222520.59
    112 rdf:rest N20c57e56166046349e7b4d30230fac54
    113 N3abe057af0f44d5f98e607fc50ef5e93 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Mice
    115 rdf:type schema:DefinedTerm
    116 N4a403f7d67874786b26ce7dae644394f rdf:first sg:person.010550656747.15
    117 rdf:rest Nceb52874ac1c45a9a44a3ab20fdd707a
    118 N4ee0cba46ec348b5950320b2bea02a4b rdf:first sg:person.01046024744.95
    119 rdf:rest N6c6bf19e704f43f49cf146d3f4e0981f
    120 N69ccc6a3752749858e4b18cfa92b8499 rdf:first sg:person.0712021032.88
    121 rdf:rest Nfe8d6fad20de422e92f6fdcf6cc1c5cb
    122 N6c6bf19e704f43f49cf146d3f4e0981f rdf:first sg:person.01144511464.11
    123 rdf:rest Na8e06f83a9ee4c4e9e2dcb130c47c20a
    124 N7898130f35cb42acabfc1d844875eb9f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    125 schema:name Gene Expression Profiling
    126 rdf:type schema:DefinedTerm
    127 N823cedab5bc043c8bf98b121dd6dbfc8 schema:name Springer Nature - SN SciGraph project
    128 rdf:type schema:Organization
    129 N84172c4a0f4b492381f37e6398adc5c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    130 schema:name Chromatin
    131 rdf:type schema:DefinedTerm
    132 N868b63cd72e8440db58e8fc120c02a35 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    133 schema:name Transcription Factors
    134 rdf:type schema:DefinedTerm
    135 N8e9d4d3c45e2468ca7a36b2598aa3761 schema:issueNumber 7655
    136 rdf:type schema:PublicationIssue
    137 N96a20c79a5fe410ea5758178e6096023 rdf:first sg:person.01250016667.26
    138 rdf:rest Nf2868549820f4a6d9c6154d574885261
    139 N96b68153a6304e3e8434e647dd91ec4c schema:name readcube_id
    140 schema:value d609eeec14428ecdb3963c3d6f89e6c2022c4572c87cdb9b44e61d992867b83d
    141 rdf:type schema:PropertyValue
    142 N9dd35c381b82424984a946496759050e schema:name doi
    143 schema:value 10.1038/nature22367
    144 rdf:type schema:PropertyValue
    145 Na8e06f83a9ee4c4e9e2dcb130c47c20a rdf:first sg:person.0645565266.33
    146 rdf:rest N96a20c79a5fe410ea5758178e6096023
    147 Nadca2633fc7048c3ad1566dcfda85167 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name Neoplasms
    149 rdf:type schema:DefinedTerm
    150 Nb1379d179ab1419883d1554b4f5028c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name CD8-Positive T-Lymphocytes
    152 rdf:type schema:DefinedTerm
    153 Nb7d48d4c5ead481594ef20d9b0e4aca1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    154 schema:name Animals
    155 rdf:type schema:DefinedTerm
    156 Nbdc162eaf8ef408aa260778960088ba3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    157 schema:name Immunologic Memory
    158 rdf:type schema:DefinedTerm
    159 Nc4adfadd6ee8483bb68a602869b511ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    160 schema:name Lymphocytes, Tumor-Infiltrating
    161 rdf:type schema:DefinedTerm
    162 Nc8de559b1a544dadbc82f165a1b8edf5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    163 schema:name Epigenesis, Genetic
    164 rdf:type schema:DefinedTerm
    165 Nceb52874ac1c45a9a44a3ab20fdd707a rdf:first sg:person.011463571343.27
    166 rdf:rest Nf5729dc2ecec4c608c1cf8da5cc4dce6
    167 Nd827d190295241d09911fa6f19c3b4e1 schema:name nlm_unique_id
    168 schema:value 0410462
    169 rdf:type schema:PropertyValue
    170 Ne86c5c91e26f46d3969082dda0a7d111 schema:name pubmed_id
    171 schema:value 28514453
    172 rdf:type schema:PropertyValue
    173 Nf2868549820f4a6d9c6154d574885261 rdf:first sg:person.01150534503.18
    174 rdf:rest rdf:nil
    175 Nf5729dc2ecec4c608c1cf8da5cc4dce6 rdf:first sg:person.012143617747.98
    176 rdf:rest N3956d573509b4e7cb13f22a99d44d3a7
    177 Nfa167fafe6824821850fd7325539cec3 rdf:first sg:person.0761477065.37
    178 rdf:rest N4a403f7d67874786b26ce7dae644394f
    179 Nfe8d6fad20de422e92f6fdcf6cc1c5cb rdf:first sg:person.01323526711.45
    180 rdf:rest N4ee0cba46ec348b5950320b2bea02a4b
    181 Nff8730775ea740a3b41f9bda22b0010c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    182 schema:name Humans
    183 rdf:type schema:DefinedTerm
    184 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    185 schema:name Medical and Health Sciences
    186 rdf:type schema:DefinedTerm
    187 anzsrc-for:1107 schema:inDefinedTermSet anzsrc-for:
    188 schema:name Immunology
    189 rdf:type schema:DefinedTerm
    190 sg:grant.2411256 http://pending.schema.org/fundedItem sg:pub.10.1038/nature22367
    191 rdf:type schema:MonetaryGrant
    192 sg:grant.2438793 http://pending.schema.org/fundedItem sg:pub.10.1038/nature22367
    193 rdf:type schema:MonetaryGrant
    194 sg:grant.3860044 http://pending.schema.org/fundedItem sg:pub.10.1038/nature22367
    195 rdf:type schema:MonetaryGrant
    196 sg:grant.3867848 http://pending.schema.org/fundedItem sg:pub.10.1038/nature22367
    197 rdf:type schema:MonetaryGrant
    198 sg:grant.6376908 http://pending.schema.org/fundedItem sg:pub.10.1038/nature22367
    199 rdf:type schema:MonetaryGrant
    200 sg:journal.1018957 schema:issn 0090-0028
    201 1476-4687
    202 schema:name Nature
    203 rdf:type schema:Periodical
    204 sg:person.01046024744.95 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
    205 schema:familyName Merghoub
    206 schema:givenName Taha
    207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046024744.95
    208 rdf:type schema:Person
    209 sg:person.01051040226.38 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
    210 schema:familyName Philip
    211 schema:givenName Mary
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051040226.38
    213 rdf:type schema:Person
    214 sg:person.010550656747.15 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
    215 schema:familyName Sun
    216 schema:givenName Liping
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010550656747.15
    218 rdf:type schema:Person
    219 sg:person.01144511464.11 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
    220 schema:familyName Hellmann
    221 schema:givenName Matthew D.
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144511464.11
    223 rdf:type schema:Person
    224 sg:person.011463571343.27 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
    225 schema:familyName Horste
    226 schema:givenName Ellen L.
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011463571343.27
    228 rdf:type schema:Person
    229 sg:person.01150534503.18 schema:affiliation https://www.grid.ac/institutes/grid.5386.8
    230 schema:familyName Schietinger
    231 schema:givenName Andrea
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150534503.18
    233 rdf:type schema:Person
    234 sg:person.012143617747.98 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
    235 schema:familyName Camara
    236 schema:givenName Steven
    237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012143617747.98
    238 rdf:type schema:Person
    239 sg:person.01250016667.26 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
    240 schema:familyName Leslie
    241 schema:givenName Christina S.
    242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250016667.26
    243 rdf:type schema:Person
    244 sg:person.012611021207.89 schema:affiliation https://www.grid.ac/institutes/grid.5386.8
    245 schema:familyName Scott
    246 schema:givenName Andrew C.
    247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012611021207.89
    248 rdf:type schema:Person
    249 sg:person.01323526711.45 schema:affiliation https://www.grid.ac/institutes/grid.417411.6
    250 schema:familyName Lauer
    251 schema:givenName Peter
    252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323526711.45
    253 rdf:type schema:Person
    254 sg:person.0645565266.33 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
    255 schema:familyName Wolchok
    256 schema:givenName Jedd D.
    257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645565266.33
    258 rdf:type schema:Person
    259 sg:person.0663222520.59 schema:affiliation https://www.grid.ac/institutes/grid.5386.8
    260 schema:familyName Shakiba
    261 schema:givenName Mojdeh
    262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663222520.59
    263 rdf:type schema:Person
    264 sg:person.0712021032.88 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
    265 schema:familyName Viale
    266 schema:givenName Agnes
    267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712021032.88
    268 rdf:type schema:Person
    269 sg:person.0761477065.37 schema:affiliation https://www.grid.ac/institutes/grid.5386.8
    270 schema:familyName Fairchild
    271 schema:givenName Lauren
    272 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761477065.37
    273 rdf:type schema:Person
    274 sg:pub.10.1038/2201352a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044582198
    275 https://doi.org/10.1038/2201352a0
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1038/352803a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002286064
    278 https://doi.org/10.1038/352803a0
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1038/365352a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039628910
    281 https://doi.org/10.1038/365352a0
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1038/nature18610 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016053982
    284 https://doi.org/10.1038/nature18610
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1038/nbt.1630 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023421025
    287 https://doi.org/10.1038/nbt.1630
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1038/nbt.1754 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019307928
    290 https://doi.org/10.1038/nbt.1754
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1038/ni.2536 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037589063
    293 https://doi.org/10.1038/ni.2536
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1038/nm.1982 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011471951
    296 https://doi.org/10.1038/nm.1982
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1038/nm1359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021773024
    299 https://doi.org/10.1038/nm1359
    300 rdf:type schema:CreativeWork
    301 sg:pub.10.1038/nmeth.1923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006541515
    302 https://doi.org/10.1038/nmeth.1923
    303 rdf:type schema:CreativeWork
    304 sg:pub.10.1038/nmeth.2688 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020615304
    305 https://doi.org/10.1038/nmeth.2688
    306 rdf:type schema:CreativeWork
    307 sg:pub.10.1038/nrclinonc.2016.25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038799790
    308 https://doi.org/10.1038/nrclinonc.2016.25
    309 rdf:type schema:CreativeWork
    310 sg:pub.10.1038/nri1632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007108279
    311 https://doi.org/10.1038/nri1632
    312 rdf:type schema:CreativeWork
    313 sg:pub.10.1038/nri3307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016124947
    314 https://doi.org/10.1038/nri3307
    315 rdf:type schema:CreativeWork
    316 sg:pub.10.1186/gb-2008-9-9-r137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027608848
    317 https://doi.org/10.1186/gb-2008-9-9-r137
    318 rdf:type schema:CreativeWork
    319 sg:pub.10.1186/gb-2010-11-10-r106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031289083
    320 https://doi.org/10.1186/gb-2010-11-10-r106
    321 rdf:type schema:CreativeWork
    322 sg:pub.10.1186/gb-2010-11-12-r119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033784968
    323 https://doi.org/10.1186/gb-2010-11-12-r119
    324 rdf:type schema:CreativeWork
    325 sg:pub.10.1186/s12864-015-1245-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023000819
    326 https://doi.org/10.1186/s12864-015-1245-6
    327 rdf:type schema:CreativeWork
    328 sg:pub.10.1186/s13059-014-0550-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015222646
    329 https://doi.org/10.1186/s13059-014-0550-8
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1016/j.ccr.2013.03.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037598394
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1016/j.cell.2012.01.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003948533
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1016/j.cell.2014.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031175368
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1016/j.cell.2016.04.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037159343
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1016/j.imlet.2009.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016928234
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1016/j.immuni.2014.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018644664
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1016/j.immuni.2015.01.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047962387
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1016/j.immuni.2016.07.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029532419
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1016/j.immuni.2016.10.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040054362
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1016/j.molonc.2014.07.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026287832
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1056/nejmoa1406498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020435459
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1073/pnas.0406035101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026955438
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1073/pnas.1112520108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037161441
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1093/bioinformatics/btq033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036892131
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1093/bioinformatics/btr064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034194664
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1093/bioinformatics/bts635 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053365587
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1093/nar/gkj144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005091941
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1093/nar/gkp335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007915246
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.1097/cji.0b013e3181b0b125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036123340
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.1126/science.1214277 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031867473
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.1126/science.aaa1348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062665078
    372 rdf:type schema:CreativeWork
    373 https://doi.org/10.1126/science.aae0491 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027948352
    374 rdf:type schema:CreativeWork
    375 https://doi.org/10.1126/science.aaf2807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022846243
    376 rdf:type schema:CreativeWork
    377 https://doi.org/10.1126/science.aaf6284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035875579
    378 rdf:type schema:CreativeWork
    379 https://doi.org/10.1214/11-aoas477 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064392172
    380 rdf:type schema:CreativeWork
    381 https://doi.org/10.1371/journal.pcbi.1003118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028412488
    382 rdf:type schema:CreativeWork
    383 https://doi.org/10.4049/jimmunol.0901101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077989713
    384 rdf:type schema:CreativeWork
    385 https://doi.org/10.4049/jimmunol.1301395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016599831
    386 rdf:type schema:CreativeWork
    387 https://doi.org/10.4049/jimmunol.1600589 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010158645
    388 rdf:type schema:CreativeWork
    389 https://doi.org/10.4049/jimmunol.171.2.697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075311942
    390 rdf:type schema:CreativeWork
    391 https://doi.org/10.4049/jimmunol.180.12.8102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031994508
    392 rdf:type schema:CreativeWork
    393 https://www.grid.ac/institutes/grid.417411.6 schema:alternateName Aduro BioTech (United States)
    394 schema:name Aduro Biotech, Inc., Berkeley, California 94720, USA
    395 rdf:type schema:Organization
    396 https://www.grid.ac/institutes/grid.51462.34 schema:alternateName Memorial Sloan Kettering Cancer Center
    397 schema:name Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
    398 Immunology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
    399 Integrated Genomics Operation, Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
    400 Ludwig Center for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
    401 Melanoma and Immunotherapeutics Service, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
    402 Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
    403 Weill Cornell Medical College, Cornell University, New York, New York 10065, USA
    404 rdf:type schema:Organization
    405 https://www.grid.ac/institutes/grid.5386.8 schema:alternateName Cornell University
    406 schema:name Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
    407 Immunology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
    408 Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medical College, New York, New York 10065, USA
    409 Weill Cornell Medical College, Cornell University, New York, New York 10065, USA
    410 rdf:type schema:Organization
     




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


    ...