Longitudinal expression profiling of CD4+ and CD8+ cells in patients with active to quiescent giant cell arteritis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Elisabeth De Smit, Samuel W. Lukowski, Lisa Anderson, Anne Senabouth, Kaisar Dauyey, Sharon Song, Bruce Wyse, Lawrie Wheeler, Christine Y. Chen, Khoa Cao, Amy Wong Ten Yuen, Neil Shuey, Linda Clarke, Isabel Lopez Sanchez, Sandy S. C. Hung, Alice Pébay, David A. Mackey, Matthew A. Brown, Alex W. Hewitt, Joseph E. Powell

ABSTRACT

Giant cell arteritis (GCA) is the most common form of vasculitis affecting elderly people. It is one of the few true ophthalmic emergencies but symptoms and signs are variable thereby making it a challenging disease to diagnose. A temporal artery biopsy is the gold standard to confirm GCA, but there are currently no specific biochemical markers to aid diagnosis. We aimed to identify a less invasive method to confirm the diagnosis of GCA, as well as to ascertain clinically relevant predictive biomarkers by studying the transcriptome of purified peripheral CD4+ and CD8+ T lymphocytes in patients with GCA. We recruited 16 patients with histological evidence of GCA at the Royal Victorian Eye and Ear Hospital, Melbourne, Australia, and aimed to collect blood samples at six time points: acute phase, 2–3 weeks, 6–8 weeks, 3 months, 6 months and 12 months after clinical diagnosis. CD4+ and CD8+ T-cells were positively selected at each time point through magnetic-assisted cell sorting. RNA was extracted from all 195 collected samples for subsequent RNA sequencing. The expression profiles of patients were compared to those of 16 age-matched controls. Over the 12-month study period, polynomial modelling analyses identified 179 and 4 statistically significant transcripts with altered expression profiles (FDR < 0.05) between cases and controls in CD4+ and CD8+ populations, respectively. In CD8+ cells, two transcripts remained differentially expressed after 12 months; SGTB, associated with neuronal apoptosis, and FCGR3A, associatied with Takayasu arteritis. We detected genes that correlate with both symptoms and biochemical markers used for predicting long-term prognosis. 15 genes were shared across 3 phenotypes in CD4 and 16 across CD8 cells. In CD8, IL32 was common to 5 phenotypes including Polymyalgia Rheumatica, bilateral blindness and death within 12 months. This is the first longitudinal gene expression study undertaken to identify robust transcriptomic biomarkers of GCA. Our results show cell type-specific transcript expression profiles, novel gene-phenotype associations, and uncover important biological pathways for this disease. In the acute phase, the gene-phenotype relationships we have identified could provide insight to potential disease severity and as such guide in initiating appropriate patient management. More... »

PAGES

61

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12920-018-0376-4

DOI

http://dx.doi.org/10.1186/s12920-018-0376-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105773582

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30037347


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Centre for Eye Research Australia", 
          "id": "https://www.grid.ac/institutes/grid.418002.f", 
          "name": [
            "Centre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, 3002, East Melbourne, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "De Smit", 
        "givenName": "Elisabeth", 
        "id": "sg:person.01176323220.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176323220.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Queensland", 
          "id": "https://www.grid.ac/institutes/grid.1003.2", 
          "name": [
            "Institute for Molecular Bioscience, The University of Queensland, 4072, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lukowski", 
        "givenName": "Samuel W.", 
        "id": "sg:person.01202202510.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202202510.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princess Alexandra Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412744.0", 
          "name": [
            "Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, 4102, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Anderson", 
        "givenName": "Lisa", 
        "id": "sg:person.07737662134.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07737662134.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Queensland", 
          "id": "https://www.grid.ac/institutes/grid.1003.2", 
          "name": [
            "Institute for Molecular Bioscience, The University of Queensland, 4072, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Senabouth", 
        "givenName": "Anne", 
        "id": "sg:person.07721503453.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07721503453.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Queensland", 
          "id": "https://www.grid.ac/institutes/grid.1003.2", 
          "name": [
            "Institute for Molecular Bioscience, The University of Queensland, 4072, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dauyey", 
        "givenName": "Kaisar", 
        "id": "sg:person.011332623134.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011332623134.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princess Alexandra Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412744.0", 
          "name": [
            "Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, 4102, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Song", 
        "givenName": "Sharon", 
        "id": "sg:person.012130203534.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012130203534.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princess Alexandra Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412744.0", 
          "name": [
            "Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, 4102, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wyse", 
        "givenName": "Bruce", 
        "id": "sg:person.012725564134.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012725564134.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princess Alexandra Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412744.0", 
          "name": [
            "Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, 4102, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wheeler", 
        "givenName": "Lawrie", 
        "id": "sg:person.0737325071.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737325071.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Monash Health", 
          "id": "https://www.grid.ac/institutes/grid.419789.a", 
          "name": [
            "Ophthalmology Department at Monash Health, Department of Surgery, School of Clinical Sciences at Monash Health, 3168, Melbourne, Victoria, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Christine Y.", 
        "id": "sg:person.01313367575.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313367575.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Monash Health", 
          "id": "https://www.grid.ac/institutes/grid.419789.a", 
          "name": [
            "Ophthalmology Department at Monash Health, Department of Surgery, School of Clinical Sciences at Monash Health, 3168, Melbourne, Victoria, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cao", 
        "givenName": "Khoa", 
        "id": "sg:person.015116105534.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015116105534.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Eye Research Australia", 
          "id": "https://www.grid.ac/institutes/grid.418002.f", 
          "name": [
            "Centre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, 3002, East Melbourne, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wong Ten Yuen", 
        "givenName": "Amy", 
        "id": "sg:person.015713466134.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015713466134.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Royal Victorian Eye & Ear Hospital", 
          "id": "https://www.grid.ac/institutes/grid.410670.4", 
          "name": [
            "Department of Neuro-Ophthalmology, Royal Victorian Eye and Ear Hospital, 3002, Melbourne, Victoria, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shuey", 
        "givenName": "Neil", 
        "id": "sg:person.011711641773.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011711641773.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Eye Research Australia", 
          "id": "https://www.grid.ac/institutes/grid.418002.f", 
          "name": [
            "Centre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, 3002, East Melbourne, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Clarke", 
        "givenName": "Linda", 
        "id": "sg:person.0655323107.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0655323107.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Eye Research Australia", 
          "id": "https://www.grid.ac/institutes/grid.418002.f", 
          "name": [
            "Centre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, 3002, East Melbourne, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lopez Sanchez", 
        "givenName": "Isabel", 
        "id": "sg:person.013421064464.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013421064464.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Eye Research Australia", 
          "id": "https://www.grid.ac/institutes/grid.418002.f", 
          "name": [
            "Centre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, 3002, East Melbourne, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hung", 
        "givenName": "Sandy S. C.", 
        "id": "sg:person.01331206776.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331206776.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Eye Research Australia", 
          "id": "https://www.grid.ac/institutes/grid.418002.f", 
          "name": [
            "Centre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, 3002, East Melbourne, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "P\u00e9bay", 
        "givenName": "Alice", 
        "id": "sg:person.01023330747.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023330747.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Centre for Ophthalmology and Visual Science, The University of Western Australia, Lions Eye Institute, 6009, Perth, Western Australia, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mackey", 
        "givenName": "David A.", 
        "id": "sg:person.01230014411.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230014411.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princess Alexandra Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412744.0", 
          "name": [
            "Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, 4102, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brown", 
        "givenName": "Matthew A.", 
        "id": "sg:person.014235656724.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014235656724.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tasmania", 
          "id": "https://www.grid.ac/institutes/grid.1009.8", 
          "name": [
            "Centre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, 3002, East Melbourne, Australia", 
            "School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, 7000, Hobart, Tasmania, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hewitt", 
        "givenName": "Alex W.", 
        "id": "sg:person.01127542415.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127542415.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Queensland", 
          "id": "https://www.grid.ac/institutes/grid.1003.2", 
          "name": [
            "Institute for Molecular Bioscience, The University of Queensland, 4072, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Powell", 
        "givenName": "Joseph E.", 
        "id": "sg:person.01246530370.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246530370.86"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/wno.0000000000000234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000649600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/wno.0000000000000234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000649600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/wno.0000000000000234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000649600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/imj.12293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005619060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.12738", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006611647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/wrr.12460", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011190013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humimm.2013.01.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012922407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0098588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016876441"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00417-016-3434-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017110628", 
          "https://doi.org/10.1007/s00417-016-3434-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00417-016-3434-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017110628", 
          "https://doi.org/10.1007/s00417-016-3434-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cca.2016.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020002428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/wno.0b013e318268aa9b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022065167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/wno.0b013e318268aa9b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022065167"
        ], 
        "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/10.1093/rheumatology/kes163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023297412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10067-013-2384-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024403231", 
          "https://doi.org/10.1007/s10067-013-2384-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.3519", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024493480", 
          "https://doi.org/10.1038/nbt.3519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-8-64", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024879505", 
          "https://doi.org/10.1186/1471-2164-8-64"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-immunol-032414-112032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025351085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1741-7007-8-84", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030482441", 
          "https://doi.org/10.1186/1741-7007-8-84"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajhg.2015.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031174493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajhg.2015.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031174493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.30374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036627887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1754-4505.1998.tb00905.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038842110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaut.2016.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040612462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaut.2016.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040612462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2016.5444", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042447619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10735-013-9517-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044852634", 
          "https://doi.org/10.1007/s10735-013-9517-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07853890410033171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045003775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0019968", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045497357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/rheumatology/kev348", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046361992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1208245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048354897", 
          "https://doi.org/10.1038/sj.onc.1208245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1208245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048354897", 
          "https://doi.org/10.1038/sj.onc.1208245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/cdd.2009.206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050017831", 
          "https://doi.org/10.1038/cdd.2009.206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/cdd.2009.206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050017831", 
          "https://doi.org/10.1038/cdd.2009.206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/prca.201300096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052380665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gks1055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052883861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1074-7613(04)00380-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054680331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3102/10769986025001060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070972860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3102/10769986025001060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070972860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jlb.67.1.97", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074581412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074731248", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077727280", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.116.022907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083403499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.116.022907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083403499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1084/jem.20161525", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083403587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/rheumatology/kex075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084192241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/2040622317700089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084248660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/2040622317700089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084248660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.autrev.2017.05.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085614780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1615/critrevimmunol.2017020284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1087304385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/ol.2017.6547", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090569974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00365513.2017.1346823", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090748137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms16013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090878339", 
          "https://doi.org/10.1038/ncomms16013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/rmdopen-2017-000531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091381784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/rmdopen-2017-000531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091381784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jns.2017.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091493073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2017050589", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092249211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2017050589", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092249211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2017050589", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092249211"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Giant cell arteritis (GCA) is the most common form of vasculitis affecting elderly people. It is one of the few true ophthalmic emergencies but symptoms and signs are variable thereby making it a challenging disease to diagnose. A temporal artery biopsy is the gold standard to confirm GCA, but there are currently no specific biochemical markers to aid diagnosis. We aimed to identify a less invasive method to confirm the diagnosis of GCA, as well as to ascertain clinically relevant predictive biomarkers by studying the transcriptome of purified peripheral CD4+ and CD8+ T lymphocytes in patients with GCA. We recruited 16 patients with histological evidence of GCA at the Royal Victorian Eye and Ear Hospital, Melbourne, Australia, and aimed to collect blood samples at six time points: acute phase, 2\u20133 weeks, 6\u20138 weeks, 3 months, 6 months and 12 months after clinical diagnosis. CD4+ and CD8+ T-cells were positively selected at each time point through magnetic-assisted cell sorting. RNA was extracted from all 195 collected samples for subsequent RNA sequencing. The expression profiles of patients were compared to those of 16 age-matched controls. Over the 12-month study period, polynomial modelling analyses identified 179 and 4 statistically significant transcripts with altered expression profiles (FDR < 0.05) between cases and controls in CD4+ and CD8+ populations, respectively. In CD8+ cells, two transcripts remained differentially expressed after 12 months; SGTB, associated with neuronal apoptosis, and FCGR3A, associatied with Takayasu arteritis. We detected genes that correlate with both symptoms and biochemical markers used for predicting long-term prognosis. 15 genes were shared across 3 phenotypes in CD4 and 16 across CD8 cells. In CD8, IL32 was common to 5 phenotypes including Polymyalgia Rheumatica, bilateral blindness and death within 12 months. This is the first longitudinal gene expression study undertaken to identify robust transcriptomic biomarkers of GCA. Our results show cell type-specific transcript expression profiles, novel gene-phenotype associations, and uncover important biological pathways for this disease. In the acute phase, the gene-phenotype relationships we have identified could provide insight to potential disease severity and as such guide in initiating appropriate patient management.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12920-018-0376-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6729877", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6731717", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5128916", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6732055", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1039191", 
        "issn": [
          "1755-8794"
        ], 
        "name": "BMC Medical Genomics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "name": "Longitudinal expression profiling of CD4+ and CD8+ cells in patients with active to quiescent giant cell arteritis", 
    "pagination": "61", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12920-018-0376-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105773582"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "45ad0a2fee17a58b117e3f63269cb68c8287767909b4a9cff550581b3a4093f7"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101319628"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30037347"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12920-018-0376-4", 
      "https://app.dimensions.ai/details/publication/pub.1105773582"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-16T06:25", 
    "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/v90/0000000377_0000000377/records_106837_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12920-018-0376-4"
  }
]
 

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/s12920-018-0376-4'

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/s12920-018-0376-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12920-018-0376-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12920-018-0376-4'


 

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

372 TRIPLES      21 PREDICATES      75 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12920-018-0376-4 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N4339884a4a194a368a9218c24bd05584
4 schema:citation sg:pub.10.1007/s00417-016-3434-7
5 sg:pub.10.1007/s10067-013-2384-2
6 sg:pub.10.1007/s10735-013-9517-4
7 sg:pub.10.1038/cdd.2009.206
8 sg:pub.10.1038/nbt.3519
9 sg:pub.10.1038/ncomms16013
10 sg:pub.10.1038/sj.onc.1208245
11 sg:pub.10.1186/1471-2164-8-64
12 sg:pub.10.1186/1741-7007-8-84
13 https://app.dimensions.ai/details/publication/pub.1074731248
14 https://app.dimensions.ai/details/publication/pub.1077727280
15 https://doi.org/10.1001/jama.2016.5444
16 https://doi.org/10.1002/art.30374
17 https://doi.org/10.1002/jlb.67.1.97
18 https://doi.org/10.1002/prca.201300096
19 https://doi.org/10.1016/j.ajhg.2015.02.009
20 https://doi.org/10.1016/j.autrev.2017.05.014
21 https://doi.org/10.1016/j.cca.2016.05.001
22 https://doi.org/10.1016/j.humimm.2013.01.020
23 https://doi.org/10.1016/j.jaut.2016.05.008
24 https://doi.org/10.1016/j.jns.2017.09.006
25 https://doi.org/10.1016/s1074-7613(04)00380-2
26 https://doi.org/10.1080/00365513.2017.1346823
27 https://doi.org/10.1080/07853890410033171
28 https://doi.org/10.1084/jem.20161525
29 https://doi.org/10.1093/bioinformatics/btp616
30 https://doi.org/10.1093/nar/gks1055
31 https://doi.org/10.1093/rheumatology/kes163
32 https://doi.org/10.1093/rheumatology/kev348
33 https://doi.org/10.1093/rheumatology/kex075
34 https://doi.org/10.1097/wno.0000000000000234
35 https://doi.org/10.1097/wno.0b013e318268aa9b
36 https://doi.org/10.1111/imj.12293
37 https://doi.org/10.1111/j.1754-4505.1998.tb00905.x
38 https://doi.org/10.1111/wrr.12460
39 https://doi.org/10.1136/rmdopen-2017-000531
40 https://doi.org/10.1146/annurev-immunol-032414-112032
41 https://doi.org/10.1161/circulationaha.116.022907
42 https://doi.org/10.1177/2040622317700089
43 https://doi.org/10.1371/journal.pone.0019968
44 https://doi.org/10.1371/journal.pone.0098588
45 https://doi.org/10.1615/critrevimmunol.2017020284
46 https://doi.org/10.1681/asn.2017050589
47 https://doi.org/10.18632/oncotarget.12738
48 https://doi.org/10.3102/10769986025001060
49 https://doi.org/10.3892/ol.2017.6547
50 schema:datePublished 2018-12
51 schema:datePublishedReg 2018-12-01
52 schema:description Giant cell arteritis (GCA) is the most common form of vasculitis affecting elderly people. It is one of the few true ophthalmic emergencies but symptoms and signs are variable thereby making it a challenging disease to diagnose. A temporal artery biopsy is the gold standard to confirm GCA, but there are currently no specific biochemical markers to aid diagnosis. We aimed to identify a less invasive method to confirm the diagnosis of GCA, as well as to ascertain clinically relevant predictive biomarkers by studying the transcriptome of purified peripheral CD4+ and CD8+ T lymphocytes in patients with GCA. We recruited 16 patients with histological evidence of GCA at the Royal Victorian Eye and Ear Hospital, Melbourne, Australia, and aimed to collect blood samples at six time points: acute phase, 2–3 weeks, 6–8 weeks, 3 months, 6 months and 12 months after clinical diagnosis. CD4+ and CD8+ T-cells were positively selected at each time point through magnetic-assisted cell sorting. RNA was extracted from all 195 collected samples for subsequent RNA sequencing. The expression profiles of patients were compared to those of 16 age-matched controls. Over the 12-month study period, polynomial modelling analyses identified 179 and 4 statistically significant transcripts with altered expression profiles (FDR < 0.05) between cases and controls in CD4+ and CD8+ populations, respectively. In CD8+ cells, two transcripts remained differentially expressed after 12 months; SGTB, associated with neuronal apoptosis, and FCGR3A, associatied with Takayasu arteritis. We detected genes that correlate with both symptoms and biochemical markers used for predicting long-term prognosis. 15 genes were shared across 3 phenotypes in CD4 and 16 across CD8 cells. In CD8, IL32 was common to 5 phenotypes including Polymyalgia Rheumatica, bilateral blindness and death within 12 months. This is the first longitudinal gene expression study undertaken to identify robust transcriptomic biomarkers of GCA. Our results show cell type-specific transcript expression profiles, novel gene-phenotype associations, and uncover important biological pathways for this disease. In the acute phase, the gene-phenotype relationships we have identified could provide insight to potential disease severity and as such guide in initiating appropriate patient management.
53 schema:genre research_article
54 schema:inLanguage en
55 schema:isAccessibleForFree true
56 schema:isPartOf N6971887939da4f3b8d3499f928e3aebf
57 Nc79261fb371b47628751b72f1fa07852
58 sg:journal.1039191
59 schema:name Longitudinal expression profiling of CD4+ and CD8+ cells in patients with active to quiescent giant cell arteritis
60 schema:pagination 61
61 schema:productId N12f84ffffc4c4f6d89fca6c60ea358f7
62 N182d60f05f9547d1929b5423de05a15b
63 N80acef65553c4b7e82623d1ad9a45afa
64 Nbc96d48de1e1429195772690be83ea7e
65 Nebd358a728ce456d99973f711b69fd15
66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105773582
67 https://doi.org/10.1186/s12920-018-0376-4
68 schema:sdDatePublished 2019-04-16T06:25
69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
70 schema:sdPublisher Nd69330decca44882aeb04be3a02a437a
71 schema:url https://link.springer.com/10.1186%2Fs12920-018-0376-4
72 sgo:license sg:explorer/license/
73 sgo:sdDataset articles
74 rdf:type schema:ScholarlyArticle
75 N12f84ffffc4c4f6d89fca6c60ea358f7 schema:name dimensions_id
76 schema:value pub.1105773582
77 rdf:type schema:PropertyValue
78 N182d60f05f9547d1929b5423de05a15b schema:name readcube_id
79 schema:value 45ad0a2fee17a58b117e3f63269cb68c8287767909b4a9cff550581b3a4093f7
80 rdf:type schema:PropertyValue
81 N27c292c859de4fe3be84dc8857e69097 rdf:first sg:person.015116105534.44
82 rdf:rest Nafe96832e45c4b1f83ce6b0a1c02c511
83 N2b8d2f055a2548d7b190bc99e026669e schema:name Centre for Ophthalmology and Visual Science, The University of Western Australia, Lions Eye Institute, 6009, Perth, Western Australia, Australia
84 rdf:type schema:Organization
85 N304befb7c6de45a9872b191fc09af02d rdf:first sg:person.01246530370.86
86 rdf:rest rdf:nil
87 N39361533c7514ee6811ca8b0c309cffe rdf:first sg:person.01202202510.08
88 rdf:rest N991c7cf1a0094ee5a2fab41fa8461287
89 N3caa6a2174ce42af91817981d8ed41a1 rdf:first sg:person.01127542415.10
90 rdf:rest N304befb7c6de45a9872b191fc09af02d
91 N4339884a4a194a368a9218c24bd05584 rdf:first sg:person.01176323220.17
92 rdf:rest N39361533c7514ee6811ca8b0c309cffe
93 N486e1f635b5e47b996874fb640ea1e14 rdf:first sg:person.01023330747.87
94 rdf:rest Na0b4c2f1465d4643b00801e556a14669
95 N4afba6e029754b63abf741ebb15b8675 rdf:first sg:person.012725564134.32
96 rdf:rest Ncd166218574d42cc953fdd836a2f9c8d
97 N5d975771608e430c8c4f6a3774b7d09f rdf:first sg:person.07721503453.25
98 rdf:rest Nbf76f3ee440d473e8f03d85b9edf4fef
99 N6971887939da4f3b8d3499f928e3aebf schema:volumeNumber 11
100 rdf:type schema:PublicationVolume
101 N80acef65553c4b7e82623d1ad9a45afa schema:name nlm_unique_id
102 schema:value 101319628
103 rdf:type schema:PropertyValue
104 N991c7cf1a0094ee5a2fab41fa8461287 rdf:first sg:person.07737662134.03
105 rdf:rest N5d975771608e430c8c4f6a3774b7d09f
106 Na0b4c2f1465d4643b00801e556a14669 rdf:first sg:person.01230014411.44
107 rdf:rest Ne43b95f9e64b4ba3af9e96efce4c9115
108 Nab60c57e6264413b8f018a32698a0b24 rdf:first sg:person.011711641773.72
109 rdf:rest Nb5e66aa4322a42569f091cbf7281373c
110 Nafe96832e45c4b1f83ce6b0a1c02c511 rdf:first sg:person.015713466134.34
111 rdf:rest Nab60c57e6264413b8f018a32698a0b24
112 Nb5e66aa4322a42569f091cbf7281373c rdf:first sg:person.0655323107.22
113 rdf:rest Nd5075b35dc294528880218d6b68ddc7e
114 Nbc96d48de1e1429195772690be83ea7e schema:name doi
115 schema:value 10.1186/s12920-018-0376-4
116 rdf:type schema:PropertyValue
117 Nbcf790a1a0f54558a521b3112f04ecdb rdf:first sg:person.01313367575.34
118 rdf:rest N27c292c859de4fe3be84dc8857e69097
119 Nbf76f3ee440d473e8f03d85b9edf4fef rdf:first sg:person.011332623134.71
120 rdf:rest Nde825b03d87f47f995a707b8c2e1c552
121 Nc79261fb371b47628751b72f1fa07852 schema:issueNumber 1
122 rdf:type schema:PublicationIssue
123 Ncd166218574d42cc953fdd836a2f9c8d rdf:first sg:person.0737325071.05
124 rdf:rest Nbcf790a1a0f54558a521b3112f04ecdb
125 Nd5075b35dc294528880218d6b68ddc7e rdf:first sg:person.013421064464.14
126 rdf:rest Nd5d5bab2b8044bf489f9e05c88583206
127 Nd5d5bab2b8044bf489f9e05c88583206 rdf:first sg:person.01331206776.48
128 rdf:rest N486e1f635b5e47b996874fb640ea1e14
129 Nd69330decca44882aeb04be3a02a437a schema:name Springer Nature - SN SciGraph project
130 rdf:type schema:Organization
131 Nde825b03d87f47f995a707b8c2e1c552 rdf:first sg:person.012130203534.37
132 rdf:rest N4afba6e029754b63abf741ebb15b8675
133 Ne43b95f9e64b4ba3af9e96efce4c9115 rdf:first sg:person.014235656724.89
134 rdf:rest N3caa6a2174ce42af91817981d8ed41a1
135 Nebd358a728ce456d99973f711b69fd15 schema:name pubmed_id
136 schema:value 30037347
137 rdf:type schema:PropertyValue
138 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
139 schema:name Biological Sciences
140 rdf:type schema:DefinedTerm
141 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
142 schema:name Genetics
143 rdf:type schema:DefinedTerm
144 sg:grant.5128916 http://pending.schema.org/fundedItem sg:pub.10.1186/s12920-018-0376-4
145 rdf:type schema:MonetaryGrant
146 sg:grant.6729877 http://pending.schema.org/fundedItem sg:pub.10.1186/s12920-018-0376-4
147 rdf:type schema:MonetaryGrant
148 sg:grant.6731717 http://pending.schema.org/fundedItem sg:pub.10.1186/s12920-018-0376-4
149 rdf:type schema:MonetaryGrant
150 sg:grant.6732055 http://pending.schema.org/fundedItem sg:pub.10.1186/s12920-018-0376-4
151 rdf:type schema:MonetaryGrant
152 sg:journal.1039191 schema:issn 1755-8794
153 schema:name BMC Medical Genomics
154 rdf:type schema:Periodical
155 sg:person.01023330747.87 schema:affiliation https://www.grid.ac/institutes/grid.418002.f
156 schema:familyName Pébay
157 schema:givenName Alice
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023330747.87
159 rdf:type schema:Person
160 sg:person.01127542415.10 schema:affiliation https://www.grid.ac/institutes/grid.1009.8
161 schema:familyName Hewitt
162 schema:givenName Alex W.
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127542415.10
164 rdf:type schema:Person
165 sg:person.011332623134.71 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
166 schema:familyName Dauyey
167 schema:givenName Kaisar
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011332623134.71
169 rdf:type schema:Person
170 sg:person.011711641773.72 schema:affiliation https://www.grid.ac/institutes/grid.410670.4
171 schema:familyName Shuey
172 schema:givenName Neil
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011711641773.72
174 rdf:type schema:Person
175 sg:person.01176323220.17 schema:affiliation https://www.grid.ac/institutes/grid.418002.f
176 schema:familyName De Smit
177 schema:givenName Elisabeth
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176323220.17
179 rdf:type schema:Person
180 sg:person.01202202510.08 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
181 schema:familyName Lukowski
182 schema:givenName Samuel W.
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202202510.08
184 rdf:type schema:Person
185 sg:person.012130203534.37 schema:affiliation https://www.grid.ac/institutes/grid.412744.0
186 schema:familyName Song
187 schema:givenName Sharon
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012130203534.37
189 rdf:type schema:Person
190 sg:person.01230014411.44 schema:affiliation N2b8d2f055a2548d7b190bc99e026669e
191 schema:familyName Mackey
192 schema:givenName David A.
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230014411.44
194 rdf:type schema:Person
195 sg:person.01246530370.86 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
196 schema:familyName Powell
197 schema:givenName Joseph E.
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246530370.86
199 rdf:type schema:Person
200 sg:person.012725564134.32 schema:affiliation https://www.grid.ac/institutes/grid.412744.0
201 schema:familyName Wyse
202 schema:givenName Bruce
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012725564134.32
204 rdf:type schema:Person
205 sg:person.01313367575.34 schema:affiliation https://www.grid.ac/institutes/grid.419789.a
206 schema:familyName Chen
207 schema:givenName Christine Y.
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313367575.34
209 rdf:type schema:Person
210 sg:person.01331206776.48 schema:affiliation https://www.grid.ac/institutes/grid.418002.f
211 schema:familyName Hung
212 schema:givenName Sandy S. C.
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331206776.48
214 rdf:type schema:Person
215 sg:person.013421064464.14 schema:affiliation https://www.grid.ac/institutes/grid.418002.f
216 schema:familyName Lopez Sanchez
217 schema:givenName Isabel
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013421064464.14
219 rdf:type schema:Person
220 sg:person.014235656724.89 schema:affiliation https://www.grid.ac/institutes/grid.412744.0
221 schema:familyName Brown
222 schema:givenName Matthew A.
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014235656724.89
224 rdf:type schema:Person
225 sg:person.015116105534.44 schema:affiliation https://www.grid.ac/institutes/grid.419789.a
226 schema:familyName Cao
227 schema:givenName Khoa
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015116105534.44
229 rdf:type schema:Person
230 sg:person.015713466134.34 schema:affiliation https://www.grid.ac/institutes/grid.418002.f
231 schema:familyName Wong Ten Yuen
232 schema:givenName Amy
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015713466134.34
234 rdf:type schema:Person
235 sg:person.0655323107.22 schema:affiliation https://www.grid.ac/institutes/grid.418002.f
236 schema:familyName Clarke
237 schema:givenName Linda
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0655323107.22
239 rdf:type schema:Person
240 sg:person.0737325071.05 schema:affiliation https://www.grid.ac/institutes/grid.412744.0
241 schema:familyName Wheeler
242 schema:givenName Lawrie
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737325071.05
244 rdf:type schema:Person
245 sg:person.07721503453.25 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
246 schema:familyName Senabouth
247 schema:givenName Anne
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07721503453.25
249 rdf:type schema:Person
250 sg:person.07737662134.03 schema:affiliation https://www.grid.ac/institutes/grid.412744.0
251 schema:familyName Anderson
252 schema:givenName Lisa
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07737662134.03
254 rdf:type schema:Person
255 sg:pub.10.1007/s00417-016-3434-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017110628
256 https://doi.org/10.1007/s00417-016-3434-7
257 rdf:type schema:CreativeWork
258 sg:pub.10.1007/s10067-013-2384-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024403231
259 https://doi.org/10.1007/s10067-013-2384-2
260 rdf:type schema:CreativeWork
261 sg:pub.10.1007/s10735-013-9517-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044852634
262 https://doi.org/10.1007/s10735-013-9517-4
263 rdf:type schema:CreativeWork
264 sg:pub.10.1038/cdd.2009.206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050017831
265 https://doi.org/10.1038/cdd.2009.206
266 rdf:type schema:CreativeWork
267 sg:pub.10.1038/nbt.3519 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024493480
268 https://doi.org/10.1038/nbt.3519
269 rdf:type schema:CreativeWork
270 sg:pub.10.1038/ncomms16013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090878339
271 https://doi.org/10.1038/ncomms16013
272 rdf:type schema:CreativeWork
273 sg:pub.10.1038/sj.onc.1208245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048354897
274 https://doi.org/10.1038/sj.onc.1208245
275 rdf:type schema:CreativeWork
276 sg:pub.10.1186/1471-2164-8-64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024879505
277 https://doi.org/10.1186/1471-2164-8-64
278 rdf:type schema:CreativeWork
279 sg:pub.10.1186/1741-7007-8-84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030482441
280 https://doi.org/10.1186/1741-7007-8-84
281 rdf:type schema:CreativeWork
282 https://app.dimensions.ai/details/publication/pub.1074731248 schema:CreativeWork
283 https://app.dimensions.ai/details/publication/pub.1077727280 schema:CreativeWork
284 https://doi.org/10.1001/jama.2016.5444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042447619
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1002/art.30374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036627887
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1002/jlb.67.1.97 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074581412
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1002/prca.201300096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052380665
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1016/j.ajhg.2015.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031174493
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1016/j.autrev.2017.05.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085614780
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1016/j.cca.2016.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020002428
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1016/j.humimm.2013.01.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012922407
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1016/j.jaut.2016.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040612462
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1016/j.jns.2017.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091493073
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1016/s1074-7613(04)00380-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054680331
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1080/00365513.2017.1346823 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090748137
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1080/07853890410033171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045003775
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1084/jem.20161525 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083403587
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1093/bioinformatics/btp616 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023247882
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1093/nar/gks1055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052883861
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1093/rheumatology/kes163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023297412
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1093/rheumatology/kev348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046361992
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1093/rheumatology/kex075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084192241
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1097/wno.0000000000000234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000649600
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1097/wno.0b013e318268aa9b schema:sameAs https://app.dimensions.ai/details/publication/pub.1022065167
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1111/imj.12293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005619060
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1111/j.1754-4505.1998.tb00905.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1038842110
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1111/wrr.12460 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011190013
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1136/rmdopen-2017-000531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091381784
333 rdf:type schema:CreativeWork
334 https://doi.org/10.1146/annurev-immunol-032414-112032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025351085
335 rdf:type schema:CreativeWork
336 https://doi.org/10.1161/circulationaha.116.022907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083403499
337 rdf:type schema:CreativeWork
338 https://doi.org/10.1177/2040622317700089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084248660
339 rdf:type schema:CreativeWork
340 https://doi.org/10.1371/journal.pone.0019968 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045497357
341 rdf:type schema:CreativeWork
342 https://doi.org/10.1371/journal.pone.0098588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016876441
343 rdf:type schema:CreativeWork
344 https://doi.org/10.1615/critrevimmunol.2017020284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1087304385
345 rdf:type schema:CreativeWork
346 https://doi.org/10.1681/asn.2017050589 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092249211
347 rdf:type schema:CreativeWork
348 https://doi.org/10.18632/oncotarget.12738 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006611647
349 rdf:type schema:CreativeWork
350 https://doi.org/10.3102/10769986025001060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070972860
351 rdf:type schema:CreativeWork
352 https://doi.org/10.3892/ol.2017.6547 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090569974
353 rdf:type schema:CreativeWork
354 https://www.grid.ac/institutes/grid.1003.2 schema:alternateName University of Queensland
355 schema:name Institute for Molecular Bioscience, The University of Queensland, 4072, Brisbane, Queensland, Australia
356 rdf:type schema:Organization
357 https://www.grid.ac/institutes/grid.1009.8 schema:alternateName University of Tasmania
358 schema:name Centre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, 3002, East Melbourne, Australia
359 School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, 7000, Hobart, Tasmania, Australia
360 rdf:type schema:Organization
361 https://www.grid.ac/institutes/grid.410670.4 schema:alternateName The Royal Victorian Eye & Ear Hospital
362 schema:name Department of Neuro-Ophthalmology, Royal Victorian Eye and Ear Hospital, 3002, Melbourne, Victoria, Australia
363 rdf:type schema:Organization
364 https://www.grid.ac/institutes/grid.412744.0 schema:alternateName Princess Alexandra Hospital
365 schema:name Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, 4102, Brisbane, Queensland, Australia
366 rdf:type schema:Organization
367 https://www.grid.ac/institutes/grid.418002.f schema:alternateName Centre for Eye Research Australia
368 schema:name Centre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, 3002, East Melbourne, Australia
369 rdf:type schema:Organization
370 https://www.grid.ac/institutes/grid.419789.a schema:alternateName Monash Health
371 schema:name Ophthalmology Department at Monash Health, Department of Surgery, School of Clinical Sciences at Monash Health, 3168, Melbourne, Victoria, Australia
372 rdf:type schema:Organization
 




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


...