The two most common histological subtypes of malignant germ cell tumour are distinguished by global microRNA profiles, associated with differential ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-12

AUTHORS

Matthew J Murray, Harpreet K Saini, Stijn van Dongen, Roger D Palmer, Balaji Muralidhar, Mark R Pett, Matias Piipari, Claire M Thornton, James C Nicholson, Anton J Enright, Nicholas Coleman

ABSTRACT

BACKGROUND: We hypothesised that differences in microRNA expression profiles contribute to the contrasting natural history and clinical outcome of the two most common types of malignant germ cell tumour (GCT), yolk sac tumours (YSTs) and germinomas. RESULTS: By direct comparison, using microarray data for paediatric GCT samples and published qRT-PCR data for adult samples, we identified microRNAs significantly up-regulated in YSTs (n = 29 paediatric, 26 adult, 11 overlapping) or germinomas (n = 37 paediatric). By Taqman qRT-PCR we confirmed differential expression of 15 of 16 selected microRNAs and further validated six of these (miR-302b, miR-375, miR-200b, miR-200c, miR-122, miR-205) in an independent sample set. Interestingly, the miR-302 cluster, which is over-expressed in all malignant GCTs, showed further over-expression in YSTs versus germinomas, representing six of the top eight microRNAs over-expressed in paediatric YSTs and seven of the top 11 in adult YSTs. To explain this observation, we used mRNA expression profiles of paediatric and adult malignant GCTs to identify 10 transcription factors (TFs) consistently over-expressed in YSTs versus germinomas, followed by linear regression to confirm associations between TF and miR-302 cluster expression levels. Using the sequence motif analysis environment iMotifs, we identified predicted binding sites for four of the 10 TFs (GATA6, GATA3, TCF7L2 and MAF) in the miR-302 cluster promoter region. Finally, we showed that miR-302 family over-expression in YST is likely to be functionally significant, as mRNAs down-regulated in YSTs were enriched for 3' untranslated region sequences complementary to the common seed of miR-302a~miR-302d. Such mRNAs included mediators of key cancer-associated processes, including tumour suppressor genes, apoptosis regulators and TFs. CONCLUSIONS: Differential microRNA expression is likely to contribute to the relatively aggressive behaviour of YSTs and may enable future improvements in clinical diagnosis and/or treatment. More... »

PAGES

290

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1476-4598-9-290

DOI

http://dx.doi.org/10.1186/1476-4598-9-290

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043506259

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21059207


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child, Preschool", 
        "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": "Infant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "MicroRNAs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasms, Germ Cell and Embryonal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oligonucleotide Array Sequence Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reverse Transcriptase Polymerase Chain Reaction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transcription Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "MRC Cancer Unit", 
          "id": "https://www.grid.ac/institutes/grid.415041.5", 
          "name": [
            "Medical Research Council Cancer Cell Unit, CB2 0XZ, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Murray", 
        "givenName": "Matthew J", 
        "id": "sg:person.01201055645.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201055645.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "European Bioinformatics Institute", 
          "id": "https://www.grid.ac/institutes/grid.225360.0", 
          "name": [
            "EMBL-European Bioinformatics Institute, CB10 1SD, Hinxton, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saini", 
        "givenName": "Harpreet K", 
        "id": "sg:person.01030154770.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030154770.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "European Bioinformatics Institute", 
          "id": "https://www.grid.ac/institutes/grid.225360.0", 
          "name": [
            "EMBL-European Bioinformatics Institute, CB10 1SD, Hinxton, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Dongen", 
        "givenName": "Stijn", 
        "id": "sg:person.01306347005.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306347005.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "MRC Cancer Unit", 
          "id": "https://www.grid.ac/institutes/grid.415041.5", 
          "name": [
            "Medical Research Council Cancer Cell Unit, CB2 0XZ, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Palmer", 
        "givenName": "Roger D", 
        "id": "sg:person.013406272162.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013406272162.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "MRC Cancer Unit", 
          "id": "https://www.grid.ac/institutes/grid.415041.5", 
          "name": [
            "Medical Research Council Cancer Cell Unit, CB2 0XZ, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Muralidhar", 
        "givenName": "Balaji", 
        "id": "sg:person.0640013345.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640013345.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "MRC Cancer Unit", 
          "id": "https://www.grid.ac/institutes/grid.415041.5", 
          "name": [
            "Medical Research Council Cancer Cell Unit, CB2 0XZ, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pett", 
        "givenName": "Mark R", 
        "id": "sg:person.01307520463.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307520463.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wellcome Sanger Institute", 
          "id": "https://www.grid.ac/institutes/grid.10306.34", 
          "name": [
            "Wellcome Trust Sanger Institute, CB10 1SA, Hinxton, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Piipari", 
        "givenName": "Matias", 
        "id": "sg:person.01006735763.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006735763.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Royal Victoria Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416232.0", 
          "name": [
            "Department of Pathology, Royal Group of Hospitals Trust, Belfast, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thornton", 
        "givenName": "Claire M", 
        "id": "sg:person.01242422452.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242422452.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Addenbrooke's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.120073.7", 
          "name": [
            "Department of Paediatric Haematology and Oncology, Addenbrooke's Hospital, CB2 0QQ, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nicholson", 
        "givenName": "James C", 
        "id": "sg:person.0760331740.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760331740.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "European Bioinformatics Institute", 
          "id": "https://www.grid.ac/institutes/grid.225360.0", 
          "name": [
            "EMBL-European Bioinformatics Institute, CB10 1SD, Hinxton, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Enright", 
        "givenName": "Anton J", 
        "id": "sg:person.0765550040.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765550040.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Cambridge", 
          "id": "https://www.grid.ac/institutes/grid.5335.0", 
          "name": [
            "Medical Research Council Cancer Cell Unit, CB2 0XZ, Cambridge, UK", 
            "Department of Pathology, University of Cambridge, CB2 1QP, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Coleman", 
        "givenName": "Nicholas", 
        "id": "sg:person.01204716745.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204716745.88"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1101/gad.1820109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001214701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/path.2230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001594586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002085290", 
          "https://doi.org/10.1038/nature03315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002085290", 
          "https://doi.org/10.1038/nature03315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb.2010.24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002102587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb.2010.24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002102587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molehr/gan044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005688091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.00359-08", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008389239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2007-8-10-r214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008503544", 
          "https://doi.org/10.1186/gb-2007-8-10-r214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.0030243", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008845388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-05-2445", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011333321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-09-3301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011358112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-11-132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014188799", 
          "https://doi.org/10.1186/1471-2164-11-132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ydbio.2004.02.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014521021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkp972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014907180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/beheco/ark016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015477984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.24308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017196079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.24308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017196079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/path.2179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017503852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1065062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023084018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1064921", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023512870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024825726", 
          "https://doi.org/10.1038/nature03702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024825726", 
          "https://doi.org/10.1038/nature03702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkj143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031585631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.paed.2009.10.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037673646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.25285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038143364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.25285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038143364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti774", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038852448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.0030007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040680956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/path.2522", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046006507"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-07-5560", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046128674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb1722", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047429448", 
          "https://doi.org/10.1038/ncb1722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pas.0b013e3181a13eef", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049604028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pas.0b013e3181a13eef", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049604028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pas.0b013e3181a13eef", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049604028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.00398-08", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049619565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/426833", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049755198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2008.07.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051435650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pas.0b013e318198177d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052061769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pas.0b013e318198177d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052061769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pas.0b013e318198177d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052061769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btq026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053333507"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2005-837582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057441065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/scd.2009.0426", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059310088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3171/jns.1991.74.4.0545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071096052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3171/jns.1991.74.4.0545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071096052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3171/jns.1991.74.4.0545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071096052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cc.7.20.6851", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072299697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cc.8.6.7907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072300616"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/rna.5.3.6558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072310391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1999.17.4.1212", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074549725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1999.17.8.2585", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074549883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075279948", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1997.15.2.594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083054553"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12", 
    "datePublishedReg": "2010-12-01", 
    "description": "BACKGROUND: We hypothesised that differences in microRNA expression profiles contribute to the contrasting natural history and clinical outcome of the two most common types of malignant germ cell tumour (GCT), yolk sac tumours (YSTs) and germinomas.\nRESULTS: By direct comparison, using microarray data for paediatric GCT samples and published qRT-PCR data for adult samples, we identified microRNAs significantly up-regulated in YSTs (n = 29 paediatric, 26 adult, 11 overlapping) or germinomas (n = 37 paediatric). By Taqman qRT-PCR we confirmed differential expression of 15 of 16 selected microRNAs and further validated six of these (miR-302b, miR-375, miR-200b, miR-200c, miR-122, miR-205) in an independent sample set. Interestingly, the miR-302 cluster, which is over-expressed in all malignant GCTs, showed further over-expression in YSTs versus germinomas, representing six of the top eight microRNAs over-expressed in paediatric YSTs and seven of the top 11 in adult YSTs. To explain this observation, we used mRNA expression profiles of paediatric and adult malignant GCTs to identify 10 transcription factors (TFs) consistently over-expressed in YSTs versus germinomas, followed by linear regression to confirm associations between TF and miR-302 cluster expression levels. Using the sequence motif analysis environment iMotifs, we identified predicted binding sites for four of the 10 TFs (GATA6, GATA3, TCF7L2 and MAF) in the miR-302 cluster promoter region. Finally, we showed that miR-302 family over-expression in YST is likely to be functionally significant, as mRNAs down-regulated in YSTs were enriched for 3' untranslated region sequences complementary to the common seed of miR-302a~miR-302d. Such mRNAs included mediators of key cancer-associated processes, including tumour suppressor genes, apoptosis regulators and TFs.\nCONCLUSIONS: Differential microRNA expression is likely to contribute to the relatively aggressive behaviour of YSTs and may enable future improvements in clinical diagnosis and/or treatment.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1476-4598-9-290", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2753223", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4849805", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1031030", 
        "issn": [
          "1476-4598"
        ], 
        "name": "Molecular Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "The two most common histological subtypes of malignant germ cell tumour are distinguished by global microRNA profiles, associated with differential transcription factor expression", 
    "pagination": "290", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cf3c7e36fcb47af8c7890f77e2a10da0d82c149c70ae50116827777a3a36956b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21059207"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101147698"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1476-4598-9-290"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1043506259"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1476-4598-9-290", 
      "https://app.dimensions.ai/details/publication/pub.1043506259"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:25", 
    "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/v90/0000000001_0000000264/records_8693_00000515.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1476-4598-9-290"
  }
]
 

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.10.1186/1476-4598-9-290'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1476-4598-9-290'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1476-4598-9-290'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1476-4598-9-290'


 

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

355 TRIPLES      21 PREDICATES      88 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1476-4598-9-290 schema:about N0ba927cb63274ccea48239d4640f2171
2 N23c3a9680cae4ffeb86c05b2606b0fe4
3 N24641192500e4b40b528194d30e70af8
4 N3545e7731b854289aada16b0e0700893
5 N411a33804f7647a0829bab95e0b8d4f7
6 N51b5c2ca33194db2bb6800dea5ce27b5
7 N53ac299535e34e0ba8e866cb9e9a805a
8 N5dc5e6a381a04f5dbfb2258f7fd4f821
9 N65653f53702f4fe4a422f3c4473c917a
10 N6745d75e2c8c4d67ace01ff971bc2b59
11 N6b54b086529949bfaac9368fdcd890e9
12 Nabe422b61e6d4dbbaaa5cb7fdc7f752c
13 Nbadbb55c451c4bf38869ffdaf3e720d2
14 Nf04bd1636a64497cb3c37c58028bad65
15 Nf7932f4a36ee4e5fa099e052e89d928c
16 Nf899f23b88d445fa933a83d81389e00f
17 anzsrc-for:06
18 anzsrc-for:0604
19 schema:author Nf126fb1174c94685b5801eaa8a406b95
20 schema:citation sg:pub.10.1038/nature03315
21 sg:pub.10.1038/nature03702
22 sg:pub.10.1038/ncb1722
23 sg:pub.10.1186/1471-2164-11-132
24 sg:pub.10.1186/gb-2007-8-10-r214
25 https://app.dimensions.ai/details/publication/pub.1075279948
26 https://doi.org/10.1002/cncr.24308
27 https://doi.org/10.1002/ijc.25285
28 https://doi.org/10.1002/path.2179
29 https://doi.org/10.1002/path.2230
30 https://doi.org/10.1002/path.2522
31 https://doi.org/10.1016/j.cell.2008.07.020
32 https://doi.org/10.1016/j.paed.2009.10.006
33 https://doi.org/10.1016/j.ydbio.2004.02.019
34 https://doi.org/10.1038/msb.2010.24
35 https://doi.org/10.1055/s-2005-837582
36 https://doi.org/10.1086/426833
37 https://doi.org/10.1089/scd.2009.0426
38 https://doi.org/10.1093/beheco/ark016
39 https://doi.org/10.1093/bioinformatics/bti774
40 https://doi.org/10.1093/bioinformatics/btq026
41 https://doi.org/10.1093/molehr/gan044
42 https://doi.org/10.1093/nar/gkj143
43 https://doi.org/10.1093/nar/gkp972
44 https://doi.org/10.1097/pas.0b013e318198177d
45 https://doi.org/10.1097/pas.0b013e3181a13eef
46 https://doi.org/10.1101/gad.1820109
47 https://doi.org/10.1126/science.1064921
48 https://doi.org/10.1126/science.1065062
49 https://doi.org/10.1128/mcb.00359-08
50 https://doi.org/10.1128/mcb.00398-08
51 https://doi.org/10.1158/0008-5472.can-05-2445
52 https://doi.org/10.1158/0008-5472.can-07-5560
53 https://doi.org/10.1158/0008-5472.can-09-3301
54 https://doi.org/10.1200/jco.1997.15.2.594
55 https://doi.org/10.1200/jco.1999.17.4.1212
56 https://doi.org/10.1200/jco.1999.17.8.2585
57 https://doi.org/10.1371/journal.pcbi.0030007
58 https://doi.org/10.1371/journal.pcbi.0030243
59 https://doi.org/10.3171/jns.1991.74.4.0545
60 https://doi.org/10.4161/cc.7.20.6851
61 https://doi.org/10.4161/cc.8.6.7907
62 https://doi.org/10.4161/rna.5.3.6558
63 schema:datePublished 2010-12
64 schema:datePublishedReg 2010-12-01
65 schema:description BACKGROUND: We hypothesised that differences in microRNA expression profiles contribute to the contrasting natural history and clinical outcome of the two most common types of malignant germ cell tumour (GCT), yolk sac tumours (YSTs) and germinomas. RESULTS: By direct comparison, using microarray data for paediatric GCT samples and published qRT-PCR data for adult samples, we identified microRNAs significantly up-regulated in YSTs (n = 29 paediatric, 26 adult, 11 overlapping) or germinomas (n = 37 paediatric). By Taqman qRT-PCR we confirmed differential expression of 15 of 16 selected microRNAs and further validated six of these (miR-302b, miR-375, miR-200b, miR-200c, miR-122, miR-205) in an independent sample set. Interestingly, the miR-302 cluster, which is over-expressed in all malignant GCTs, showed further over-expression in YSTs versus germinomas, representing six of the top eight microRNAs over-expressed in paediatric YSTs and seven of the top 11 in adult YSTs. To explain this observation, we used mRNA expression profiles of paediatric and adult malignant GCTs to identify 10 transcription factors (TFs) consistently over-expressed in YSTs versus germinomas, followed by linear regression to confirm associations between TF and miR-302 cluster expression levels. Using the sequence motif analysis environment iMotifs, we identified predicted binding sites for four of the 10 TFs (GATA6, GATA3, TCF7L2 and MAF) in the miR-302 cluster promoter region. Finally, we showed that miR-302 family over-expression in YST is likely to be functionally significant, as mRNAs down-regulated in YSTs were enriched for 3' untranslated region sequences complementary to the common seed of miR-302a~miR-302d. Such mRNAs included mediators of key cancer-associated processes, including tumour suppressor genes, apoptosis regulators and TFs. CONCLUSIONS: Differential microRNA expression is likely to contribute to the relatively aggressive behaviour of YSTs and may enable future improvements in clinical diagnosis and/or treatment.
66 schema:genre research_article
67 schema:inLanguage en
68 schema:isAccessibleForFree true
69 schema:isPartOf Nc93e9cadde594a739ff1bb4b089d77cb
70 Ndb48cb713faf49bfb887b04e84f19038
71 sg:journal.1031030
72 schema:name The two most common histological subtypes of malignant germ cell tumour are distinguished by global microRNA profiles, associated with differential transcription factor expression
73 schema:pagination 290
74 schema:productId N155098165b4d4dc394029161c9534970
75 N3197b0ba397148c8a8abfa48951c74a5
76 N5c9f2cbaeb4e41e9a91e07fc1ef7403f
77 Nb3546c016f034fcf9c2ef74984d6456f
78 Nd00803d5447a43ba8022cc3ed307c828
79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043506259
80 https://doi.org/10.1186/1476-4598-9-290
81 schema:sdDatePublished 2019-04-10T23:25
82 schema:sdLicense https://scigraph.springernature.com/explorer/license/
83 schema:sdPublisher N05f53c10721741f3a87e9e234c7794c2
84 schema:url http://link.springer.com/10.1186%2F1476-4598-9-290
85 sgo:license sg:explorer/license/
86 sgo:sdDataset articles
87 rdf:type schema:ScholarlyArticle
88 N05f53c10721741f3a87e9e234c7794c2 schema:name Springer Nature - SN SciGraph project
89 rdf:type schema:Organization
90 N0ba927cb63274ccea48239d4640f2171 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name MicroRNAs
92 rdf:type schema:DefinedTerm
93 N155098165b4d4dc394029161c9534970 schema:name doi
94 schema:value 10.1186/1476-4598-9-290
95 rdf:type schema:PropertyValue
96 N23c3a9680cae4ffeb86c05b2606b0fe4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Reverse Transcriptase Polymerase Chain Reaction
98 rdf:type schema:DefinedTerm
99 N24641192500e4b40b528194d30e70af8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Adolescent
101 rdf:type schema:DefinedTerm
102 N2dc60a708721482981bd90a7a8723a14 rdf:first sg:person.01006735763.04
103 rdf:rest N3b9cf65477af4a5ca6b47193077dd75c
104 N3197b0ba397148c8a8abfa48951c74a5 schema:name dimensions_id
105 schema:value pub.1043506259
106 rdf:type schema:PropertyValue
107 N3545e7731b854289aada16b0e0700893 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Gene Expression Profiling
109 rdf:type schema:DefinedTerm
110 N3b9cf65477af4a5ca6b47193077dd75c rdf:first sg:person.01242422452.61
111 rdf:rest Nda3372f16e2944c79e9f8cc4a385ed0e
112 N3c07537b89ae4128b2487e8b063f1878 rdf:first sg:person.01030154770.69
113 rdf:rest Na5f7c08cc56544e88dddf3a545cea12e
114 N411a33804f7647a0829bab95e0b8d4f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Female
116 rdf:type schema:DefinedTerm
117 N45614476ed2d402d9c7f3c9cc80901ca rdf:first sg:person.0640013345.57
118 rdf:rest N4e5b3ee84ee447caa6f60beef064ce38
119 N4e5b3ee84ee447caa6f60beef064ce38 rdf:first sg:person.01307520463.90
120 rdf:rest N2dc60a708721482981bd90a7a8723a14
121 N51b5c2ca33194db2bb6800dea5ce27b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Transcription Factors
123 rdf:type schema:DefinedTerm
124 N53ac299535e34e0ba8e866cb9e9a805a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Infant
126 rdf:type schema:DefinedTerm
127 N5c9f2cbaeb4e41e9a91e07fc1ef7403f schema:name readcube_id
128 schema:value cf3c7e36fcb47af8c7890f77e2a10da0d82c149c70ae50116827777a3a36956b
129 rdf:type schema:PropertyValue
130 N5dc5e6a381a04f5dbfb2258f7fd4f821 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Male
132 rdf:type schema:DefinedTerm
133 N65653f53702f4fe4a422f3c4473c917a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Oligonucleotide Array Sequence Analysis
135 rdf:type schema:DefinedTerm
136 N6745d75e2c8c4d67ace01ff971bc2b59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Adult
138 rdf:type schema:DefinedTerm
139 N6b54b086529949bfaac9368fdcd890e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Child
141 rdf:type schema:DefinedTerm
142 N7509d24145254a34a7cf63c75f8e88b5 rdf:first sg:person.013406272162.21
143 rdf:rest N45614476ed2d402d9c7f3c9cc80901ca
144 N9cad7b3cf0374fcbbfbf39d01f5606f6 rdf:first sg:person.0765550040.56
145 rdf:rest Ndf0a6404e63c480f8d8c176e48586e47
146 Na5f7c08cc56544e88dddf3a545cea12e rdf:first sg:person.01306347005.19
147 rdf:rest N7509d24145254a34a7cf63c75f8e88b5
148 Nabe422b61e6d4dbbaaa5cb7fdc7f752c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Humans
150 rdf:type schema:DefinedTerm
151 Nb3546c016f034fcf9c2ef74984d6456f schema:name nlm_unique_id
152 schema:value 101147698
153 rdf:type schema:PropertyValue
154 Nbadbb55c451c4bf38869ffdaf3e720d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Child, Preschool
156 rdf:type schema:DefinedTerm
157 Nc93e9cadde594a739ff1bb4b089d77cb schema:issueNumber 1
158 rdf:type schema:PublicationIssue
159 Nd00803d5447a43ba8022cc3ed307c828 schema:name pubmed_id
160 schema:value 21059207
161 rdf:type schema:PropertyValue
162 Nda3372f16e2944c79e9f8cc4a385ed0e rdf:first sg:person.0760331740.48
163 rdf:rest N9cad7b3cf0374fcbbfbf39d01f5606f6
164 Ndb48cb713faf49bfb887b04e84f19038 schema:volumeNumber 9
165 rdf:type schema:PublicationVolume
166 Ndf0a6404e63c480f8d8c176e48586e47 rdf:first sg:person.01204716745.88
167 rdf:rest rdf:nil
168 Nf04bd1636a64497cb3c37c58028bad65 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Gene Expression Regulation, Neoplastic
170 rdf:type schema:DefinedTerm
171 Nf126fb1174c94685b5801eaa8a406b95 rdf:first sg:person.01201055645.52
172 rdf:rest N3c07537b89ae4128b2487e8b063f1878
173 Nf7932f4a36ee4e5fa099e052e89d928c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Neoplasms, Germ Cell and Embryonal
175 rdf:type schema:DefinedTerm
176 Nf899f23b88d445fa933a83d81389e00f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Young Adult
178 rdf:type schema:DefinedTerm
179 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
180 schema:name Biological Sciences
181 rdf:type schema:DefinedTerm
182 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
183 schema:name Genetics
184 rdf:type schema:DefinedTerm
185 sg:grant.2753223 http://pending.schema.org/fundedItem sg:pub.10.1186/1476-4598-9-290
186 rdf:type schema:MonetaryGrant
187 sg:grant.4849805 http://pending.schema.org/fundedItem sg:pub.10.1186/1476-4598-9-290
188 rdf:type schema:MonetaryGrant
189 sg:journal.1031030 schema:issn 1476-4598
190 schema:name Molecular Cancer
191 rdf:type schema:Periodical
192 sg:person.01006735763.04 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
193 schema:familyName Piipari
194 schema:givenName Matias
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006735763.04
196 rdf:type schema:Person
197 sg:person.01030154770.69 schema:affiliation https://www.grid.ac/institutes/grid.225360.0
198 schema:familyName Saini
199 schema:givenName Harpreet K
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030154770.69
201 rdf:type schema:Person
202 sg:person.01201055645.52 schema:affiliation https://www.grid.ac/institutes/grid.415041.5
203 schema:familyName Murray
204 schema:givenName Matthew J
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201055645.52
206 rdf:type schema:Person
207 sg:person.01204716745.88 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
208 schema:familyName Coleman
209 schema:givenName Nicholas
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204716745.88
211 rdf:type schema:Person
212 sg:person.01242422452.61 schema:affiliation https://www.grid.ac/institutes/grid.416232.0
213 schema:familyName Thornton
214 schema:givenName Claire M
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242422452.61
216 rdf:type schema:Person
217 sg:person.01306347005.19 schema:affiliation https://www.grid.ac/institutes/grid.225360.0
218 schema:familyName van Dongen
219 schema:givenName Stijn
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306347005.19
221 rdf:type schema:Person
222 sg:person.01307520463.90 schema:affiliation https://www.grid.ac/institutes/grid.415041.5
223 schema:familyName Pett
224 schema:givenName Mark R
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307520463.90
226 rdf:type schema:Person
227 sg:person.013406272162.21 schema:affiliation https://www.grid.ac/institutes/grid.415041.5
228 schema:familyName Palmer
229 schema:givenName Roger D
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013406272162.21
231 rdf:type schema:Person
232 sg:person.0640013345.57 schema:affiliation https://www.grid.ac/institutes/grid.415041.5
233 schema:familyName Muralidhar
234 schema:givenName Balaji
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640013345.57
236 rdf:type schema:Person
237 sg:person.0760331740.48 schema:affiliation https://www.grid.ac/institutes/grid.120073.7
238 schema:familyName Nicholson
239 schema:givenName James C
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760331740.48
241 rdf:type schema:Person
242 sg:person.0765550040.56 schema:affiliation https://www.grid.ac/institutes/grid.225360.0
243 schema:familyName Enright
244 schema:givenName Anton J
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765550040.56
246 rdf:type schema:Person
247 sg:pub.10.1038/nature03315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002085290
248 https://doi.org/10.1038/nature03315
249 rdf:type schema:CreativeWork
250 sg:pub.10.1038/nature03702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024825726
251 https://doi.org/10.1038/nature03702
252 rdf:type schema:CreativeWork
253 sg:pub.10.1038/ncb1722 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047429448
254 https://doi.org/10.1038/ncb1722
255 rdf:type schema:CreativeWork
256 sg:pub.10.1186/1471-2164-11-132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014188799
257 https://doi.org/10.1186/1471-2164-11-132
258 rdf:type schema:CreativeWork
259 sg:pub.10.1186/gb-2007-8-10-r214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008503544
260 https://doi.org/10.1186/gb-2007-8-10-r214
261 rdf:type schema:CreativeWork
262 https://app.dimensions.ai/details/publication/pub.1075279948 schema:CreativeWork
263 https://doi.org/10.1002/cncr.24308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017196079
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1002/ijc.25285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038143364
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1002/path.2179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017503852
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1002/path.2230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001594586
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1002/path.2522 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046006507
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1016/j.cell.2008.07.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051435650
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1016/j.paed.2009.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037673646
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1016/j.ydbio.2004.02.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014521021
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1038/msb.2010.24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002102587
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1055/s-2005-837582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057441065
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1086/426833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049755198
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1089/scd.2009.0426 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059310088
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1093/beheco/ark016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015477984
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1093/bioinformatics/bti774 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038852448
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1093/bioinformatics/btq026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053333507
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1093/molehr/gan044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005688091
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1093/nar/gkj143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031585631
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1093/nar/gkp972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014907180
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1097/pas.0b013e318198177d schema:sameAs https://app.dimensions.ai/details/publication/pub.1052061769
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1097/pas.0b013e3181a13eef schema:sameAs https://app.dimensions.ai/details/publication/pub.1049604028
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1101/gad.1820109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001214701
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1126/science.1064921 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023512870
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1126/science.1065062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023084018
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1128/mcb.00359-08 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008389239
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1128/mcb.00398-08 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049619565
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1158/0008-5472.can-05-2445 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011333321
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1158/0008-5472.can-07-5560 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046128674
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1158/0008-5472.can-09-3301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011358112
318 rdf:type schema:CreativeWork
319 https://doi.org/10.1200/jco.1997.15.2.594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083054553
320 rdf:type schema:CreativeWork
321 https://doi.org/10.1200/jco.1999.17.4.1212 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074549725
322 rdf:type schema:CreativeWork
323 https://doi.org/10.1200/jco.1999.17.8.2585 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074549883
324 rdf:type schema:CreativeWork
325 https://doi.org/10.1371/journal.pcbi.0030007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040680956
326 rdf:type schema:CreativeWork
327 https://doi.org/10.1371/journal.pcbi.0030243 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008845388
328 rdf:type schema:CreativeWork
329 https://doi.org/10.3171/jns.1991.74.4.0545 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071096052
330 rdf:type schema:CreativeWork
331 https://doi.org/10.4161/cc.7.20.6851 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072299697
332 rdf:type schema:CreativeWork
333 https://doi.org/10.4161/cc.8.6.7907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072300616
334 rdf:type schema:CreativeWork
335 https://doi.org/10.4161/rna.5.3.6558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072310391
336 rdf:type schema:CreativeWork
337 https://www.grid.ac/institutes/grid.10306.34 schema:alternateName Wellcome Sanger Institute
338 schema:name Wellcome Trust Sanger Institute, CB10 1SA, Hinxton, Cambridge, UK
339 rdf:type schema:Organization
340 https://www.grid.ac/institutes/grid.120073.7 schema:alternateName Addenbrooke's Hospital
341 schema:name Department of Paediatric Haematology and Oncology, Addenbrooke's Hospital, CB2 0QQ, Cambridge, UK
342 rdf:type schema:Organization
343 https://www.grid.ac/institutes/grid.225360.0 schema:alternateName European Bioinformatics Institute
344 schema:name EMBL-European Bioinformatics Institute, CB10 1SD, Hinxton, Cambridge, UK
345 rdf:type schema:Organization
346 https://www.grid.ac/institutes/grid.415041.5 schema:alternateName MRC Cancer Unit
347 schema:name Medical Research Council Cancer Cell Unit, CB2 0XZ, Cambridge, UK
348 rdf:type schema:Organization
349 https://www.grid.ac/institutes/grid.416232.0 schema:alternateName Royal Victoria Hospital
350 schema:name Department of Pathology, Royal Group of Hospitals Trust, Belfast, UK
351 rdf:type schema:Organization
352 https://www.grid.ac/institutes/grid.5335.0 schema:alternateName University of Cambridge
353 schema:name Department of Pathology, University of Cambridge, CB2 1QP, UK
354 Medical Research Council Cancer Cell Unit, CB2 0XZ, Cambridge, UK
355 rdf:type schema:Organization
 




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


...