Integration of BRCA1-mediated miRNA and mRNA profiles reveals microRNA regulation of TRAF2 and NFκB pathway View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-07

AUTHORS

Miljana Tanic, Magdalena Zajac, Gonzalo Gómez-López, Javier Benítez, Beatriz Martínez-Delgado

ABSTRACT

Microarray-based techniques are being useful to obtain miRNA and gene expression signatures associated with different tumors. BRCA1 deregulation is a frequent event in the pathogenesis of breast as well as other cancers. In addition to DNA repair functions of BRCA1, it is involved in a wide range of cellular processes such as cell cycle, chromatin remodeling or transcription. However, the molecular events underlying BRCA1-associated tumorigenesis are still largely unknown. In order to deepen our understanding of BRCA1-associated tumorigenesis, we integrated data from mRNA and miRNA microarray experiments on HCC1937 breast cancer cell line, and the isogenic HCC1937 stably expressing BRCA1, to obtain significant miRNA-mRNA relationships associated with the presence of BRCA1 gene. By using bioinformatic integration of gene and miRNA expression data, we found significant miRNA-gene relationships underlying the array signatures. We additionally evaluated the role of these statistically significant pairs at the biological pathways level and identified MAPK and NF-κB pathways associated with these expression changes. Furthermore, we experimentally validated miRNAs induced by BRCA1 that commonly regulate TRAF2, a key regulator of NF-κB and MAPK pathways. We demonstrate that miR-146a, miR-99b and miR-205, induced in HCC1937 BRCA1-expressing cells, bind and regulate TRAF2 gene. In addition, re-expression of miR-146a, miR-99b or miR-205 in HCC1937 BRCA1-null cells was sufficient to modulate NF-κB activity. Our results demonstrate that integration of mRNA and miRNA associated with BRCA1 expression was useful to discover new miRNA-gene interactions as molecular events underlying BRCA1-mediated tumorigenesis. More... »

PAGES

41-51

References to SciGraph publications

  • 2009-09. mRNA expression profiles show differential regulatory effects of microRNAs between estrogen receptor-positive and estrogen receptor-negative breast cancer in GENOME BIOLOGY
  • 2010-02. BRCA1 and its toolbox for the maintenance of genome integrity in NATURE REVIEWS MOLECULAR CELL BIOLOGY
  • 1996-08. Transcriptional activation by BRCA1 in NATURE
  • 2005-06. MicroRNA expression profiles classify human cancers in NATURE
  • 2009-10. Causes and consequences of microRNA dysregulation in cancer in NATURE REVIEWS GENETICS
  • 2008-10. NF-κB pathway inhibitors preferentially inhibit breast cancer stem-like cells in BREAST CANCER RESEARCH AND TREATMENT
  • 2010-07. Mantle cell lymphoma: transcriptional regulation by microRNAs in LEUKEMIA
  • 2007-10. MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype in GENOME BIOLOGY
  • 2009-10. Gene expression profiling integrated into network modelling reveals heterogeneity in the mechanisms of BRCA1 tumorigenesis in BRITISH JOURNAL OF CANCER
  • 2009-10. Key signalling nodes in mammary gland development and cancer. Mitogen-activated protein kinase signalling in experimental models of breast cancer progression and in mammary gland development in BREAST CANCER RESEARCH
  • 1999-12. The pathology of familial breast cancer: The pathology of familial breast cancer How do the functions of BRCA1 and BRCA2 relate to breast tumour pathology? in BREAST CANCER RESEARCH
  • 2008-09. Expression of microRNA-146 suppresses NF-κB activity with reduction of metastatic potential in breast cancer cells in ONCOGENE
  • 2007-03. BRCA1 dysfunction in sporadic basal-like breast cancer in ONCOGENE
  • 2002-09. BRCA1 induces DNA damage recognition factors and enhances nucleotide excision repair in NATURE GENETICS
  • 2008-09. Estrogen receptor α, BRCA1, and FANCF promoter methylation occur in distinct subsets of sporadic breast cancers in BREAST CANCER RESEARCH AND TREATMENT
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10549-011-1905-4

    DOI

    http://dx.doi.org/10.1007/s10549-011-1905-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1035530194

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/22167321


    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": "BRCA1 Protein", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Base Sequence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Breast Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cell Line, Tumor", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cell Proliferation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Regulation, Neoplastic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Regulatory Networks", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genes, Reporter", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Luciferases, Firefly", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "MicroRNAs", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mitogen-Activated Protein Kinases", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "NF-kappa B", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Oligonucleotide Array Sequence Analysis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "RNA Interference", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "RNA, Messenger", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Signal Transduction", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "TNF Receptor-Associated Factor 2", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Transcriptome", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Spanish National Cancer Research Centre", 
              "id": "https://www.grid.ac/institutes/grid.7719.8", 
              "name": [
                "Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Melchor Fernandez Almagro 3, 28029, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tanic", 
            "givenName": "Miljana", 
            "id": "sg:person.0751706321.54", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751706321.54"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Spanish National Cancer Research Centre", 
              "id": "https://www.grid.ac/institutes/grid.7719.8", 
              "name": [
                "Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Melchor Fernandez Almagro 3, 28029, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zajac", 
            "givenName": "Magdalena", 
            "id": "sg:person.01271062453.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271062453.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Spanish National Cancer Research Centre", 
              "id": "https://www.grid.ac/institutes/grid.7719.8", 
              "name": [
                "Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "G\u00f3mez-L\u00f3pez", 
            "givenName": "Gonzalo", 
            "id": "sg:person.0700636421.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700636421.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre for Biomedical Network Research on Rare Diseases", 
              "id": "https://www.grid.ac/institutes/grid.452372.5", 
              "name": [
                "Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Melchor Fernandez Almagro 3, 28029, Madrid, Spain", 
                "Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Raras (CIBERER), (CNIO), Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ben\u00edtez", 
            "givenName": "Javier", 
            "id": "sg:person.01333446703.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333446703.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre for Biomedical Network Research on Rare Diseases", 
              "id": "https://www.grid.ac/institutes/grid.452372.5", 
              "name": [
                "Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Melchor Fernandez Almagro 3, 28029, Madrid, Spain", 
                "Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Raras (CIBERER), (CNIO), Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mart\u00ednez-Delgado", 
            "givenName": "Beatriz", 
            "id": "sg:person.0724321734.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724321734.42"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0955-0674(03)00042-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001093372"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0955-0674(03)00042-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001093372"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.m303076200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002079354"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/382678a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002606918", 
              "https://doi.org/10.1038/382678a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0344-0338(00)80081-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002818354"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/mc.10148", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008242001"
            ], 
            "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": "sg:pub.10.1186/gb-2009-10-9-r90", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009104686", 
              "https://doi.org/10.1186/gb-2009-10-9-r90"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.c500475200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009578474"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1582-4934.2008.00483.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010778614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0610481104", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012419019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0092-8674(00)80769-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015461890"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/carcin/bgn172", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015649175"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.275.4.2777", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016895073"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrm2831", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016970769", 
              "https://doi.org/10.1038/nrm2831"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrm2831", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016970769", 
              "https://doi.org/10.1038/nrm2831"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0016915", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017270765"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0959-437x(98)80056-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019808760"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ccr.2006.05.022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021493096"
            ], 
            "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/10.1101/gad.1444406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025405827"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0092-8674(00)80984-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026953147"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0014-5793(98)00226-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027424546"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.immunol.14.1.649", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027990896"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/leu.2010.91", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028617507", 
              "https://doi.org/10.1038/leu.2010.91"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejca.2010.11.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030967376"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/bcr12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031691900", 
              "https://doi.org/10.1186/bcr12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.271.33.19935", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032000329"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.bjc.6605275", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032501067", 
              "https://doi.org/10.1038/sj.bjc.6605275"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.bjc.6605275", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032501067", 
              "https://doi.org/10.1038/sj.bjc.6605275"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-007-9766-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033424786", 
              "https://doi.org/10.1007/s10549-007-9766-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-007-9766-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033424786", 
              "https://doi.org/10.1007/s10549-007-9766-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.m201316200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034281497"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/mcb.22.12.4280-4292.2002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037905259"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.onc.1210014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039037705", 
              "https://doi.org/10.1038/sj.onc.1210014"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.onc.1210014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039037705", 
              "https://doi.org/10.1038/sj.onc.1210014"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/bcr2361", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040461259", 
              "https://doi.org/10.1186/bcr2361"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2634", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040605557", 
              "https://doi.org/10.1038/nrg2634"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2634", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040605557", 
              "https://doi.org/10.1038/nrg2634"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkl010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043672351"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.drudis.2007.04.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043742600"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jnci/92.7.564", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044385773"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-007-9798-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046109199", 
              "https://doi.org/10.1007/s10549-007-9798-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-007-9798-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046109199", 
              "https://doi.org/10.1007/s10549-007-9798-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/onc.2008.171", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046998641", 
              "https://doi.org/10.1038/onc.2008.171"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0092-8674(00)81375-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047220467"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.genet.32.1.95", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047469496"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/mcb.17.3.1535", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047565115"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-09-2842", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048542747"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btp565", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049066894"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0605298103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049075000"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1097-0215(19980821)79:4<334::aid-ijc5>3.0.co;2-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049279883"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biocel.2004.09.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049290704"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/emboj/16.5.1080", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049501578"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng953", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051487013", 
              "https://doi.org/10.1038/ng953"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng953", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051487013", 
              "https://doi.org/10.1038/ng953"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/mcb.18.1.558", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052760480"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.94.18.9792", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053385791"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.271.5252.1128", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062552306"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.274.5288.782", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062554671"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.274.5288.784", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062554672"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.274.5288.787", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062554673"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.275.5297.200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062555463"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.7544915", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062647501"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4161/cbt.8.9.8105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072295567"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012-07", 
        "datePublishedReg": "2012-07-01", 
        "description": "Microarray-based techniques are being useful to obtain miRNA and gene expression signatures associated with different tumors. BRCA1 deregulation is a frequent event in the pathogenesis of breast as well as other cancers. In addition to DNA repair functions of BRCA1, it is involved in a wide range of cellular processes such as cell cycle, chromatin remodeling or transcription. However, the molecular events underlying BRCA1-associated tumorigenesis are still largely unknown. In order to deepen our understanding of BRCA1-associated tumorigenesis, we integrated data from mRNA and miRNA microarray experiments on HCC1937 breast cancer cell line, and the isogenic HCC1937 stably expressing BRCA1, to obtain significant miRNA-mRNA relationships associated with the presence of BRCA1 gene. By using bioinformatic integration of gene and miRNA expression data, we found significant miRNA-gene relationships underlying the array signatures. We additionally evaluated the role of these statistically significant pairs at the biological pathways level and identified MAPK and NF-\u03baB pathways associated with these expression changes. Furthermore, we experimentally validated miRNAs induced by BRCA1 that commonly regulate TRAF2, a key regulator of NF-\u03baB and MAPK pathways. We demonstrate that miR-146a, miR-99b and miR-205, induced in HCC1937 BRCA1-expressing cells, bind and regulate TRAF2 gene. In addition, re-expression of miR-146a, miR-99b or miR-205 in HCC1937 BRCA1-null cells was sufficient to modulate NF-\u03baB activity. Our results demonstrate that integration of mRNA and miRNA associated with BRCA1 expression was useful to discover new miRNA-gene interactions as molecular events underlying BRCA1-mediated tumorigenesis.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10549-011-1905-4", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1092777", 
            "issn": [
              "0167-6806", 
              "1573-7217"
            ], 
            "name": "Breast Cancer Research and Treatment", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "134"
          }
        ], 
        "name": "Integration of BRCA1-mediated miRNA and mRNA profiles reveals microRNA regulation of TRAF2 and NF\u03baB pathway", 
        "pagination": "41-51", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "a94012382f9243f83d9c825302c1264324185afd681bf0813ab756c4c94aea3b"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "22167321"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "8111104"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10549-011-1905-4"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1035530194"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10549-011-1905-4", 
          "https://app.dimensions.ai/details/publication/pub.1035530194"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T19:09", 
        "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_8678_00000514.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs10549-011-1905-4"
      }
    ]
     

    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.10.1007/s10549-011-1905-4'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10549-011-1905-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10549-011-1905-4'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10549-011-1905-4'


     

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

    368 TRIPLES      21 PREDICATES      106 URIs      41 LITERALS      29 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10549-011-1905-4 schema:about N0054afd22e1247a8bf2c80df948977d0
    2 N00eabc2181ae4f7d83e0937b86100dc0
    3 N0909564b53444b49bee65e9095b856ad
    4 N091ce4e804724873a18fe1eac6b3b26b
    5 N0e487213979346fe871bb8d67b32bdc0
    6 N10c4f680579d45d18bfbd53b93fc1308
    7 N11c79fb8648340629da8329987f69c41
    8 N166cce63588448b0b1644cd6cc60344b
    9 N5027585493604b189f0b49e922b664a7
    10 N5c51ae1213cc4b8899569ab8e8c99f80
    11 N836e2f75db814a77b6d813e706802ace
    12 N9e6be25186e14c3ba5f73c3fa4e13e82
    13 Nbb813b2620de4796b16c7ab8b3415ffb
    14 Nc2bb480d4a454f93a3444476e610b9b3
    15 Ncfbc27ff0db246d8af6831fea784723a
    16 Nddb880c3fe4743fc820d3156abf0eacf
    17 Ne652397616e84ef18df913f3d54d061a
    18 Nf2cce726642c4247b2cb77118d97867a
    19 Nf4e4ad8f09de4cda96ab535c910fee8a
    20 Nf9c613b51db2453ab543055fbc523647
    21 anzsrc-for:06
    22 anzsrc-for:0604
    23 schema:author N478e992c9a8b4328a519547223e6cda1
    24 schema:citation sg:pub.10.1007/s10549-007-9766-6
    25 sg:pub.10.1007/s10549-007-9798-y
    26 sg:pub.10.1038/382678a0
    27 sg:pub.10.1038/leu.2010.91
    28 sg:pub.10.1038/nature03702
    29 sg:pub.10.1038/ng953
    30 sg:pub.10.1038/nrg2634
    31 sg:pub.10.1038/nrm2831
    32 sg:pub.10.1038/onc.2008.171
    33 sg:pub.10.1038/sj.bjc.6605275
    34 sg:pub.10.1038/sj.onc.1210014
    35 sg:pub.10.1186/bcr12
    36 sg:pub.10.1186/bcr2361
    37 sg:pub.10.1186/gb-2007-8-10-r214
    38 sg:pub.10.1186/gb-2009-10-9-r90
    39 https://doi.org/10.1002/(sici)1097-0215(19980821)79:4<334::aid-ijc5>3.0.co;2-w
    40 https://doi.org/10.1002/mc.10148
    41 https://doi.org/10.1016/j.biocel.2004.09.006
    42 https://doi.org/10.1016/j.ccr.2006.05.022
    43 https://doi.org/10.1016/j.drudis.2007.04.002
    44 https://doi.org/10.1016/j.ejca.2010.11.005
    45 https://doi.org/10.1016/s0014-5793(98)00226-9
    46 https://doi.org/10.1016/s0092-8674(00)80769-2
    47 https://doi.org/10.1016/s0092-8674(00)80984-8
    48 https://doi.org/10.1016/s0092-8674(00)81375-6
    49 https://doi.org/10.1016/s0344-0338(00)80081-3
    50 https://doi.org/10.1016/s0955-0674(03)00042-5
    51 https://doi.org/10.1016/s0959-437x(98)80056-7
    52 https://doi.org/10.1073/pnas.0605298103
    53 https://doi.org/10.1073/pnas.0610481104
    54 https://doi.org/10.1073/pnas.94.18.9792
    55 https://doi.org/10.1074/jbc.271.33.19935
    56 https://doi.org/10.1074/jbc.275.4.2777
    57 https://doi.org/10.1074/jbc.c500475200
    58 https://doi.org/10.1074/jbc.m201316200
    59 https://doi.org/10.1074/jbc.m303076200
    60 https://doi.org/10.1093/bioinformatics/btp565
    61 https://doi.org/10.1093/carcin/bgn172
    62 https://doi.org/10.1093/emboj/16.5.1080
    63 https://doi.org/10.1093/jnci/92.7.564
    64 https://doi.org/10.1093/nar/gkl010
    65 https://doi.org/10.1101/gad.1444406
    66 https://doi.org/10.1111/j.1582-4934.2008.00483.x
    67 https://doi.org/10.1126/science.271.5252.1128
    68 https://doi.org/10.1126/science.274.5288.782
    69 https://doi.org/10.1126/science.274.5288.784
    70 https://doi.org/10.1126/science.274.5288.787
    71 https://doi.org/10.1126/science.275.5297.200
    72 https://doi.org/10.1126/science.7544915
    73 https://doi.org/10.1128/mcb.17.3.1535
    74 https://doi.org/10.1128/mcb.18.1.558
    75 https://doi.org/10.1128/mcb.22.12.4280-4292.2002
    76 https://doi.org/10.1146/annurev.genet.32.1.95
    77 https://doi.org/10.1146/annurev.immunol.14.1.649
    78 https://doi.org/10.1158/0008-5472.can-09-2842
    79 https://doi.org/10.1371/journal.pone.0016915
    80 https://doi.org/10.4161/cbt.8.9.8105
    81 schema:datePublished 2012-07
    82 schema:datePublishedReg 2012-07-01
    83 schema:description Microarray-based techniques are being useful to obtain miRNA and gene expression signatures associated with different tumors. BRCA1 deregulation is a frequent event in the pathogenesis of breast as well as other cancers. In addition to DNA repair functions of BRCA1, it is involved in a wide range of cellular processes such as cell cycle, chromatin remodeling or transcription. However, the molecular events underlying BRCA1-associated tumorigenesis are still largely unknown. In order to deepen our understanding of BRCA1-associated tumorigenesis, we integrated data from mRNA and miRNA microarray experiments on HCC1937 breast cancer cell line, and the isogenic HCC1937 stably expressing BRCA1, to obtain significant miRNA-mRNA relationships associated with the presence of BRCA1 gene. By using bioinformatic integration of gene and miRNA expression data, we found significant miRNA-gene relationships underlying the array signatures. We additionally evaluated the role of these statistically significant pairs at the biological pathways level and identified MAPK and NF-κB pathways associated with these expression changes. Furthermore, we experimentally validated miRNAs induced by BRCA1 that commonly regulate TRAF2, a key regulator of NF-κB and MAPK pathways. We demonstrate that miR-146a, miR-99b and miR-205, induced in HCC1937 BRCA1-expressing cells, bind and regulate TRAF2 gene. In addition, re-expression of miR-146a, miR-99b or miR-205 in HCC1937 BRCA1-null cells was sufficient to modulate NF-κB activity. Our results demonstrate that integration of mRNA and miRNA associated with BRCA1 expression was useful to discover new miRNA-gene interactions as molecular events underlying BRCA1-mediated tumorigenesis.
    84 schema:genre research_article
    85 schema:inLanguage en
    86 schema:isAccessibleForFree false
    87 schema:isPartOf Nabf37d20139f459485aa61e357b1c00f
    88 Nb16e4778f2fe46e889e46db96f868d2b
    89 sg:journal.1092777
    90 schema:name Integration of BRCA1-mediated miRNA and mRNA profiles reveals microRNA regulation of TRAF2 and NFκB pathway
    91 schema:pagination 41-51
    92 schema:productId N0850ad1477a648eaa22628964f28b283
    93 N682077a9210942a88604c8e981af3df3
    94 N82b8ce683dc745e38fdebcb2a12f0311
    95 Na2b77cd9253443ba8d89174c7d26d18a
    96 Nbd64736dba3d4b818f2271d104bb08ea
    97 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035530194
    98 https://doi.org/10.1007/s10549-011-1905-4
    99 schema:sdDatePublished 2019-04-10T19:09
    100 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    101 schema:sdPublisher N26332210a76b410a832a26c4f6e3f862
    102 schema:url http://link.springer.com/10.1007%2Fs10549-011-1905-4
    103 sgo:license sg:explorer/license/
    104 sgo:sdDataset articles
    105 rdf:type schema:ScholarlyArticle
    106 N0054afd22e1247a8bf2c80df948977d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    107 schema:name Mitogen-Activated Protein Kinases
    108 rdf:type schema:DefinedTerm
    109 N00eabc2181ae4f7d83e0937b86100dc0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    110 schema:name RNA Interference
    111 rdf:type schema:DefinedTerm
    112 N0850ad1477a648eaa22628964f28b283 schema:name dimensions_id
    113 schema:value pub.1035530194
    114 rdf:type schema:PropertyValue
    115 N0909564b53444b49bee65e9095b856ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    116 schema:name Gene Expression Regulation, Neoplastic
    117 rdf:type schema:DefinedTerm
    118 N091ce4e804724873a18fe1eac6b3b26b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    119 schema:name Base Sequence
    120 rdf:type schema:DefinedTerm
    121 N0e487213979346fe871bb8d67b32bdc0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    122 schema:name Humans
    123 rdf:type schema:DefinedTerm
    124 N10c4f680579d45d18bfbd53b93fc1308 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    125 schema:name Gene Regulatory Networks
    126 rdf:type schema:DefinedTerm
    127 N11c79fb8648340629da8329987f69c41 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    128 schema:name Female
    129 rdf:type schema:DefinedTerm
    130 N15147af7a525417080414aaf3b78a86a rdf:first sg:person.01271062453.22
    131 rdf:rest N1a9fe9d9a1e04e4fa154e5cf090d0b67
    132 N166cce63588448b0b1644cd6cc60344b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    133 schema:name Oligonucleotide Array Sequence Analysis
    134 rdf:type schema:DefinedTerm
    135 N19683f70821b4fd2b3a1318418e0d583 rdf:first sg:person.0724321734.42
    136 rdf:rest rdf:nil
    137 N1a9fe9d9a1e04e4fa154e5cf090d0b67 rdf:first sg:person.0700636421.39
    138 rdf:rest Ncae6db4a74f246aea28e006fe6093d93
    139 N26332210a76b410a832a26c4f6e3f862 schema:name Springer Nature - SN SciGraph project
    140 rdf:type schema:Organization
    141 N478e992c9a8b4328a519547223e6cda1 rdf:first sg:person.0751706321.54
    142 rdf:rest N15147af7a525417080414aaf3b78a86a
    143 N5027585493604b189f0b49e922b664a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name BRCA1 Protein
    145 rdf:type schema:DefinedTerm
    146 N5c51ae1213cc4b8899569ab8e8c99f80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name NF-kappa B
    148 rdf:type schema:DefinedTerm
    149 N682077a9210942a88604c8e981af3df3 schema:name nlm_unique_id
    150 schema:value 8111104
    151 rdf:type schema:PropertyValue
    152 N82b8ce683dc745e38fdebcb2a12f0311 schema:name pubmed_id
    153 schema:value 22167321
    154 rdf:type schema:PropertyValue
    155 N836e2f75db814a77b6d813e706802ace schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Breast Neoplasms
    157 rdf:type schema:DefinedTerm
    158 N9e6be25186e14c3ba5f73c3fa4e13e82 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name RNA, Messenger
    160 rdf:type schema:DefinedTerm
    161 Na2b77cd9253443ba8d89174c7d26d18a schema:name doi
    162 schema:value 10.1007/s10549-011-1905-4
    163 rdf:type schema:PropertyValue
    164 Nabf37d20139f459485aa61e357b1c00f schema:issueNumber 1
    165 rdf:type schema:PublicationIssue
    166 Nb16e4778f2fe46e889e46db96f868d2b schema:volumeNumber 134
    167 rdf:type schema:PublicationVolume
    168 Nbb813b2620de4796b16c7ab8b3415ffb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    169 schema:name TNF Receptor-Associated Factor 2
    170 rdf:type schema:DefinedTerm
    171 Nbd64736dba3d4b818f2271d104bb08ea schema:name readcube_id
    172 schema:value a94012382f9243f83d9c825302c1264324185afd681bf0813ab756c4c94aea3b
    173 rdf:type schema:PropertyValue
    174 Nc2bb480d4a454f93a3444476e610b9b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    175 schema:name Genes, Reporter
    176 rdf:type schema:DefinedTerm
    177 Ncae6db4a74f246aea28e006fe6093d93 rdf:first sg:person.01333446703.24
    178 rdf:rest N19683f70821b4fd2b3a1318418e0d583
    179 Ncfbc27ff0db246d8af6831fea784723a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    180 schema:name Cell Line, Tumor
    181 rdf:type schema:DefinedTerm
    182 Nddb880c3fe4743fc820d3156abf0eacf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    183 schema:name Signal Transduction
    184 rdf:type schema:DefinedTerm
    185 Ne652397616e84ef18df913f3d54d061a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    186 schema:name MicroRNAs
    187 rdf:type schema:DefinedTerm
    188 Nf2cce726642c4247b2cb77118d97867a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    189 schema:name Transcriptome
    190 rdf:type schema:DefinedTerm
    191 Nf4e4ad8f09de4cda96ab535c910fee8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    192 schema:name Luciferases, Firefly
    193 rdf:type schema:DefinedTerm
    194 Nf9c613b51db2453ab543055fbc523647 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    195 schema:name Cell Proliferation
    196 rdf:type schema:DefinedTerm
    197 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    198 schema:name Biological Sciences
    199 rdf:type schema:DefinedTerm
    200 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    201 schema:name Genetics
    202 rdf:type schema:DefinedTerm
    203 sg:journal.1092777 schema:issn 0167-6806
    204 1573-7217
    205 schema:name Breast Cancer Research and Treatment
    206 rdf:type schema:Periodical
    207 sg:person.01271062453.22 schema:affiliation https://www.grid.ac/institutes/grid.7719.8
    208 schema:familyName Zajac
    209 schema:givenName Magdalena
    210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271062453.22
    211 rdf:type schema:Person
    212 sg:person.01333446703.24 schema:affiliation https://www.grid.ac/institutes/grid.452372.5
    213 schema:familyName Benítez
    214 schema:givenName Javier
    215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333446703.24
    216 rdf:type schema:Person
    217 sg:person.0700636421.39 schema:affiliation https://www.grid.ac/institutes/grid.7719.8
    218 schema:familyName Gómez-López
    219 schema:givenName Gonzalo
    220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700636421.39
    221 rdf:type schema:Person
    222 sg:person.0724321734.42 schema:affiliation https://www.grid.ac/institutes/grid.452372.5
    223 schema:familyName Martínez-Delgado
    224 schema:givenName Beatriz
    225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724321734.42
    226 rdf:type schema:Person
    227 sg:person.0751706321.54 schema:affiliation https://www.grid.ac/institutes/grid.7719.8
    228 schema:familyName Tanic
    229 schema:givenName Miljana
    230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751706321.54
    231 rdf:type schema:Person
    232 sg:pub.10.1007/s10549-007-9766-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033424786
    233 https://doi.org/10.1007/s10549-007-9766-6
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1007/s10549-007-9798-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1046109199
    236 https://doi.org/10.1007/s10549-007-9798-y
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1038/382678a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002606918
    239 https://doi.org/10.1038/382678a0
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1038/leu.2010.91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028617507
    242 https://doi.org/10.1038/leu.2010.91
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1038/nature03702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024825726
    245 https://doi.org/10.1038/nature03702
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1038/ng953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051487013
    248 https://doi.org/10.1038/ng953
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1038/nrg2634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040605557
    251 https://doi.org/10.1038/nrg2634
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1038/nrm2831 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016970769
    254 https://doi.org/10.1038/nrm2831
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1038/onc.2008.171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046998641
    257 https://doi.org/10.1038/onc.2008.171
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1038/sj.bjc.6605275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032501067
    260 https://doi.org/10.1038/sj.bjc.6605275
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1038/sj.onc.1210014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039037705
    263 https://doi.org/10.1038/sj.onc.1210014
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1186/bcr12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031691900
    266 https://doi.org/10.1186/bcr12
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1186/bcr2361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040461259
    269 https://doi.org/10.1186/bcr2361
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1186/gb-2007-8-10-r214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008503544
    272 https://doi.org/10.1186/gb-2007-8-10-r214
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1186/gb-2009-10-9-r90 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009104686
    275 https://doi.org/10.1186/gb-2009-10-9-r90
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1002/(sici)1097-0215(19980821)79:4<334::aid-ijc5>3.0.co;2-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1049279883
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1002/mc.10148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008242001
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1016/j.biocel.2004.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049290704
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1016/j.ccr.2006.05.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021493096
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1016/j.drudis.2007.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043742600
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1016/j.ejca.2010.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030967376
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1016/s0014-5793(98)00226-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027424546
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1016/s0092-8674(00)80769-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015461890
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1016/s0092-8674(00)80984-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026953147
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1016/s0092-8674(00)81375-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047220467
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1016/s0344-0338(00)80081-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002818354
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1016/s0955-0674(03)00042-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001093372
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1016/s0959-437x(98)80056-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019808760
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1073/pnas.0605298103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049075000
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1073/pnas.0610481104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012419019
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1073/pnas.94.18.9792 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053385791
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1074/jbc.271.33.19935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032000329
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1074/jbc.275.4.2777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016895073
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1074/jbc.c500475200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009578474
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1074/jbc.m201316200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034281497
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1074/jbc.m303076200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002079354
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1093/bioinformatics/btp565 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049066894
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1093/carcin/bgn172 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015649175
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1093/emboj/16.5.1080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049501578
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1093/jnci/92.7.564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044385773
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1093/nar/gkl010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043672351
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1101/gad.1444406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025405827
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1111/j.1582-4934.2008.00483.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010778614
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1126/science.271.5252.1128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062552306
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1126/science.274.5288.782 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062554671
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1126/science.274.5288.784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062554672
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1126/science.274.5288.787 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062554673
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1126/science.275.5297.200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062555463
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1126/science.7544915 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062647501
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1128/mcb.17.3.1535 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047565115
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1128/mcb.18.1.558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052760480
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1128/mcb.22.12.4280-4292.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037905259
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1146/annurev.genet.32.1.95 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047469496
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1146/annurev.immunol.14.1.649 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027990896
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1158/0008-5472.can-09-2842 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048542747
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1371/journal.pone.0016915 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017270765
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.4161/cbt.8.9.8105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072295567
    360 rdf:type schema:CreativeWork
    361 https://www.grid.ac/institutes/grid.452372.5 schema:alternateName Centre for Biomedical Network Research on Rare Diseases
    362 schema:name Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), (CNIO), Madrid, Spain
    363 Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Melchor Fernandez Almagro 3, 28029, Madrid, Spain
    364 rdf:type schema:Organization
    365 https://www.grid.ac/institutes/grid.7719.8 schema:alternateName Spanish National Cancer Research Centre
    366 schema:name Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
    367 Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Melchor Fernandez Almagro 3, 28029, Madrid, Spain
    368 rdf:type schema:Organization
     




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


    ...