Differential roles of STAT1 and STAT2 in the sensitivity of JAK2V617F- vs. BCR-ABL-positive cells to interferon alpha View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Claudia Schubert, Manuel Allhoff, Stefan Tillmann, Tiago Maié, Ivan G. Costa, Daniel B. Lipka, Mirle Schemionek, Kristina Feldberg, Julian Baumeister, Tim H. Brümmendorf, Nicolas Chatain, Steffen Koschmieder

ABSTRACT

BACKGROUND: Interferon alpha (IFNa) monotherapy is recommended as the standard therapy in polycythemia vera (PV) but not in chronic myeloid leukemia (CML). Here, we investigated the mechanisms of IFNa efficacy in JAK2V617F- vs. BCR-ABL-positive cells. METHODS: Gene expression microarrays and RT-qPCR of PV vs. CML patient PBMCs and CD34+ cells and of the murine cell line 32D expressing JAK2V617F or BCR-ABL were used to analyze and compare interferon-stimulated gene (ISG) expression. Furthermore, using CRISPR/Cas9n technology, targeted disruption of STAT1 or STAT2, respectively, was performed in 32D-BCR-ABL and 32D-JAK2V617F cells to evaluate the role of these transcription factors for IFNa efficacy. The knockout cell lines were reconstituted with STAT1, STAT2, STAT1Y701F, or STAT2Y689F to analyze the importance of wild-type and phosphomutant STATs for the IFNa response. ChIP-seq and ChIP were performed to correlate histone marks with ISG expression. RESULTS: Microarray analysis and RT-qPCR revealed significant upregulation of ISGs in 32D-JAK2V617F but downregulation in 32D-BCR-ABL cells, and these effects were reversed by tyrosine kinase inhibitor (TKI) treatment. Similar expression patterns were confirmed in human cell lines, primary PV and CML patient PBMCs and CD34+ cells, demonstrating that these effects are operational in patients. IFNa treatment increased Stat1, Stat2, and Irf9 mRNA as well as pY-STAT1 in all cell lines; however, viability was specifically decreased in 32D-JAK2V617F. STAT1 or STAT2 knockout and reconstitution with wild-type or phospho-deficient STAT mutants demonstrated the necessity of STAT2 for IFNa-induced STAT1 phosphorylation in BCR-ABL- but not in JAK2V617F-expressing cells. STAT1 was essential for IFNa activity in both BCR-ABL- and JAK2V617F-positive cells. Furthermore, ChIP experiments demonstrate higher repressive and lower active chromatin marks at the promoters of ISGs in BCR-ABL-expressing cells. CONCLUSIONS: JAK2V617F but not BCR-ABL sensitizes MPN cells to interferon, and this effect was dependent on STAT1. Moreover, STAT2 is a survival factor in BCR-ABL- and JAK2V617F-positive cells but an IFNa-sensitizing factor solely in 32D-JAK2V617F cells by upregulation of STAT1 expression. More... »

PAGES

36

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13045-019-0722-9

DOI

http://dx.doi.org/10.1186/s13045-019-0722-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113179502

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30940163


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Pauwelsstr 30, 52074, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schubert", 
        "givenName": "Claudia", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Institute for Computational Genomics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Allhoff", 
        "givenName": "Manuel", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Pauwelsstr 30, 52074, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tillmann", 
        "givenName": "Stefan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Institute for Computational Genomics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mai\u00e9", 
        "givenName": "Tiago", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Institute for Computational Genomics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Costa", 
        "givenName": "Ivan G.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "German Cancer Research Center", 
          "id": "https://www.grid.ac/institutes/grid.7497.d", 
          "name": [
            "Regulation of Cellular Differentiation Group, Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lipka", 
        "givenName": "Daniel B.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Pauwelsstr 30, 52074, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schemionek", 
        "givenName": "Mirle", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Pauwelsstr 30, 52074, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Feldberg", 
        "givenName": "Kristina", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Pauwelsstr 30, 52074, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baumeister", 
        "givenName": "Julian", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Pauwelsstr 30, 52074, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Br\u00fcmmendorf", 
        "givenName": "Tim H.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Pauwelsstr 30, 52074, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chatain", 
        "givenName": "Nicolas", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Pauwelsstr 30, 52074, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koschmieder", 
        "givenName": "Steffen", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1182/blood-2010-12-326843", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001924846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2010-05-286757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002336875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2013.08.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002481722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2013.08.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002481722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nri1604", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002731283", 
          "https://doi.org/10.1038/nri1604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nri1604", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002731283", 
          "https://doi.org/10.1038/nri1604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/leu.2009.38", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002899527", 
          "https://doi.org/10.1038/leu.2009.38"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/leu.2009.38", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002899527", 
          "https://doi.org/10.1038/leu.2009.38"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13045-016-0275-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002992874", 
          "https://doi.org/10.1186/s13045-016-0275-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4049/jimmunol.174.2.609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003814847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2002-01-0073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005962923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.2910360105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009323252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkt111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011010100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3324/haematol.2011.061390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011202350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0125783", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012385600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cytogfr.2016.02.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012897961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cytogfr.2016.02.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012897961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cytogfr.2016.02.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012897961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ceb.2015.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014467005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m113.476192", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014807921"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1110557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015548963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.15.3.1312", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018398740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m406400200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018915759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m706816200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020236369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/15287394.2012.674914", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021348253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15252/embj.201592383", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021398600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m511797200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022740191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/ph3040994", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023177712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1110556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026700534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2141.2001.02556.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029543142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199904293401706", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030090763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2013-04-498956", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030677998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.93.26.15092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032154691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2002-02-0659", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034504490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ccr.2005.03.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034806424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ccr.2005.03.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034806424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199707243370402", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034926285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m109.042242", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035767543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nri3581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036931590", 
          "https://doi.org/10.1038/nri3581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.leu.2404609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038469614", 
          "https://doi.org/10.1038/sj.leu.2404609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2012-05-432989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039362816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmc1502524", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040488156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4049/jimmunol.1004128", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041242317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03546", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041406511", 
          "https://doi.org/10.1038/nature03546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03546", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041406511", 
          "https://doi.org/10.1038/nature03546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m111.231068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041740073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2015.03.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042981905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2015.03.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042981905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.leu.2404549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043862344", 
          "https://doi.org/10.1038/sj.leu.2404549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m011685200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046463262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2012-07-442012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046667770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2010-12-325373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047042467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb747", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047833568", 
          "https://doi.org/10.1038/ncb747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb747", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047833568", 
          "https://doi.org/10.1038/ncb747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.exphem.2010.03.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048341688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/rheumatology/keu299", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049170830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci35721", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049461992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci35721", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049461992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.28427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049949206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa022457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052596157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.thj.6200004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056649279", 
          "https://doi.org/10.1038/sj.thj.6200004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cc.5.24.3573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072298757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3324/haematol.2017.181297", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099615106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3324/haematol.2017.181297", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099615106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41375-018-0295-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110129452", 
          "https://doi.org/10.1038/s41375-018-0295-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41375-018-0295-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110129452", 
          "https://doi.org/10.1038/s41375-018-0295-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41375-018-0295-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110129452", 
          "https://doi.org/10.1038/s41375-018-0295-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Interferon alpha (IFNa) monotherapy is recommended as the standard therapy in polycythemia vera (PV) but not in chronic myeloid leukemia (CML). Here, we investigated the mechanisms of IFNa efficacy in JAK2V617F- vs. BCR-ABL-positive cells.\nMETHODS: Gene expression microarrays and RT-qPCR of PV vs. CML patient PBMCs and CD34+ cells and of the murine cell line 32D expressing JAK2V617F or BCR-ABL were used to analyze and compare interferon-stimulated gene (ISG) expression. Furthermore, using CRISPR/Cas9n technology, targeted disruption of STAT1 or STAT2, respectively, was performed in 32D-BCR-ABL and 32D-JAK2V617F cells to evaluate the role of these transcription factors for IFNa efficacy. The knockout cell lines were reconstituted with STAT1, STAT2, STAT1Y701F, or STAT2Y689F to analyze the importance of wild-type and phosphomutant STATs for the IFNa response. ChIP-seq and ChIP were performed to correlate histone marks with ISG expression.\nRESULTS: Microarray analysis and RT-qPCR revealed significant upregulation of ISGs in 32D-JAK2V617F but downregulation in 32D-BCR-ABL cells, and these effects were reversed by tyrosine kinase inhibitor (TKI) treatment. Similar expression patterns were confirmed in human cell lines, primary PV and CML patient PBMCs and CD34+ cells, demonstrating that these effects are operational in patients. IFNa treatment increased Stat1, Stat2, and Irf9 mRNA as well as pY-STAT1 in all cell lines; however, viability was specifically decreased in 32D-JAK2V617F. STAT1 or STAT2 knockout and reconstitution with wild-type or phospho-deficient STAT mutants demonstrated the necessity of STAT2 for IFNa-induced STAT1 phosphorylation in BCR-ABL- but not in JAK2V617F-expressing cells. STAT1 was essential for IFNa activity in both BCR-ABL- and JAK2V617F-positive cells. Furthermore, ChIP experiments demonstrate higher repressive and lower active chromatin marks at the promoters of ISGs in BCR-ABL-expressing cells.\nCONCLUSIONS: JAK2V617F but not BCR-ABL sensitizes MPN cells to interferon, and this effect was dependent on STAT1. Moreover, STAT2 is a survival factor in BCR-ABL- and JAK2V617F-positive cells but an IFNa-sensitizing factor solely in 32D-JAK2V617F cells by upregulation of STAT1 expression.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13045-019-0722-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1039771", 
        "issn": [
          "1756-8722"
        ], 
        "name": "Journal of Hematology & Oncology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Differential roles of STAT1 and STAT2 in the sensitivity of JAK2V617F- vs. BCR-ABL-positive cells to interferon alpha", 
    "pagination": "36", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13045-019-0722-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113179502"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "124310f23ddd1e8f26b7279970777d999f700c8c96d32250888a278e6f878add"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101468937"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30940163"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13045-019-0722-9", 
      "https://app.dimensions.ai/details/publication/pub.1113179502"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-16T06:25", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000377_0000000377/records_106840_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13045-019-0722-9"
  }
]
 

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/s13045-019-0722-9'

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/s13045-019-0722-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13045-019-0722-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13045-019-0722-9'


 

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

309 TRIPLES      21 PREDICATES      83 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13045-019-0722-9 schema:about anzsrc-for:11
2 anzsrc-for:1102
3 schema:author Nbcc75df85b7f40bdbc42592e95a33ba9
4 schema:citation sg:pub.10.1038/leu.2009.38
5 sg:pub.10.1038/nature03546
6 sg:pub.10.1038/ncb747
7 sg:pub.10.1038/nri1604
8 sg:pub.10.1038/nri3581
9 sg:pub.10.1038/s41375-018-0295-6
10 sg:pub.10.1038/sj.leu.2404549
11 sg:pub.10.1038/sj.leu.2404609
12 sg:pub.10.1038/sj.thj.6200004
13 sg:pub.10.1186/s13045-016-0275-0
14 https://doi.org/10.1002/ijc.28427
15 https://doi.org/10.1002/ijc.2910360105
16 https://doi.org/10.1016/j.ccr.2005.03.023
17 https://doi.org/10.1016/j.ceb.2015.10.003
18 https://doi.org/10.1016/j.cell.2013.08.021
19 https://doi.org/10.1016/j.celrep.2015.03.056
20 https://doi.org/10.1016/j.cytogfr.2016.02.010
21 https://doi.org/10.1016/j.exphem.2010.03.005
22 https://doi.org/10.1046/j.1365-2141.2001.02556.x
23 https://doi.org/10.1056/nejm199707243370402
24 https://doi.org/10.1056/nejm199904293401706
25 https://doi.org/10.1056/nejmc1502524
26 https://doi.org/10.1056/nejmoa022457
27 https://doi.org/10.1056/nejmoa1110556
28 https://doi.org/10.1056/nejmoa1110557
29 https://doi.org/10.1073/pnas.93.26.15092
30 https://doi.org/10.1074/jbc.m011685200
31 https://doi.org/10.1074/jbc.m109.042242
32 https://doi.org/10.1074/jbc.m111.231068
33 https://doi.org/10.1074/jbc.m113.476192
34 https://doi.org/10.1074/jbc.m406400200
35 https://doi.org/10.1074/jbc.m511797200
36 https://doi.org/10.1074/jbc.m706816200
37 https://doi.org/10.1080/15287394.2012.674914
38 https://doi.org/10.1093/nar/gkt111
39 https://doi.org/10.1093/rheumatology/keu299
40 https://doi.org/10.1128/mcb.15.3.1312
41 https://doi.org/10.1172/jci35721
42 https://doi.org/10.1182/blood-2002-01-0073
43 https://doi.org/10.1182/blood-2002-02-0659
44 https://doi.org/10.1182/blood-2010-05-286757
45 https://doi.org/10.1182/blood-2010-12-325373
46 https://doi.org/10.1182/blood-2010-12-326843
47 https://doi.org/10.1182/blood-2012-05-432989
48 https://doi.org/10.1182/blood-2012-07-442012
49 https://doi.org/10.1182/blood-2013-04-498956
50 https://doi.org/10.1371/journal.pone.0125783
51 https://doi.org/10.15252/embj.201592383
52 https://doi.org/10.3324/haematol.2011.061390
53 https://doi.org/10.3324/haematol.2017.181297
54 https://doi.org/10.3390/ph3040994
55 https://doi.org/10.4049/jimmunol.1004128
56 https://doi.org/10.4049/jimmunol.174.2.609
57 https://doi.org/10.4161/cc.5.24.3573
58 schema:datePublished 2019-12
59 schema:datePublishedReg 2019-12-01
60 schema:description BACKGROUND: Interferon alpha (IFNa) monotherapy is recommended as the standard therapy in polycythemia vera (PV) but not in chronic myeloid leukemia (CML). Here, we investigated the mechanisms of IFNa efficacy in JAK2V617F- vs. BCR-ABL-positive cells. METHODS: Gene expression microarrays and RT-qPCR of PV vs. CML patient PBMCs and CD34+ cells and of the murine cell line 32D expressing JAK2V617F or BCR-ABL were used to analyze and compare interferon-stimulated gene (ISG) expression. Furthermore, using CRISPR/Cas9n technology, targeted disruption of STAT1 or STAT2, respectively, was performed in 32D-BCR-ABL and 32D-JAK2V617F cells to evaluate the role of these transcription factors for IFNa efficacy. The knockout cell lines were reconstituted with STAT1, STAT2, STAT1Y701F, or STAT2Y689F to analyze the importance of wild-type and phosphomutant STATs for the IFNa response. ChIP-seq and ChIP were performed to correlate histone marks with ISG expression. RESULTS: Microarray analysis and RT-qPCR revealed significant upregulation of ISGs in 32D-JAK2V617F but downregulation in 32D-BCR-ABL cells, and these effects were reversed by tyrosine kinase inhibitor (TKI) treatment. Similar expression patterns were confirmed in human cell lines, primary PV and CML patient PBMCs and CD34+ cells, demonstrating that these effects are operational in patients. IFNa treatment increased Stat1, Stat2, and Irf9 mRNA as well as pY-STAT1 in all cell lines; however, viability was specifically decreased in 32D-JAK2V617F. STAT1 or STAT2 knockout and reconstitution with wild-type or phospho-deficient STAT mutants demonstrated the necessity of STAT2 for IFNa-induced STAT1 phosphorylation in BCR-ABL- but not in JAK2V617F-expressing cells. STAT1 was essential for IFNa activity in both BCR-ABL- and JAK2V617F-positive cells. Furthermore, ChIP experiments demonstrate higher repressive and lower active chromatin marks at the promoters of ISGs in BCR-ABL-expressing cells. CONCLUSIONS: JAK2V617F but not BCR-ABL sensitizes MPN cells to interferon, and this effect was dependent on STAT1. Moreover, STAT2 is a survival factor in BCR-ABL- and JAK2V617F-positive cells but an IFNa-sensitizing factor solely in 32D-JAK2V617F cells by upregulation of STAT1 expression.
61 schema:genre research_article
62 schema:inLanguage en
63 schema:isAccessibleForFree true
64 schema:isPartOf N19c238de39314d7782a72f546f50a090
65 N8d1a03b8d733479f9f25bdcf3778bffe
66 sg:journal.1039771
67 schema:name Differential roles of STAT1 and STAT2 in the sensitivity of JAK2V617F- vs. BCR-ABL-positive cells to interferon alpha
68 schema:pagination 36
69 schema:productId N381c8db979dd41aaa58ea357161ea086
70 N466d492c9573443295e7056beba6b303
71 N5c4b4e24919e41339bd85dcb63f94be4
72 Nd98a9cc16230437c98f3d45b46dcb215
73 Ndb3b4b7fab1941828b6be4148d4187cb
74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113179502
75 https://doi.org/10.1186/s13045-019-0722-9
76 schema:sdDatePublished 2019-04-16T06:25
77 schema:sdLicense https://scigraph.springernature.com/explorer/license/
78 schema:sdPublisher N3ebc86c0b709415ba7fbc0bb76d155d5
79 schema:url https://link.springer.com/10.1186%2Fs13045-019-0722-9
80 sgo:license sg:explorer/license/
81 sgo:sdDataset articles
82 rdf:type schema:ScholarlyArticle
83 N11dd3c58215545d4952da6cbb5915ede schema:affiliation https://www.grid.ac/institutes/grid.1957.a
84 schema:familyName Brümmendorf
85 schema:givenName Tim H.
86 rdf:type schema:Person
87 N121abc2d129d44eeaad4f66f0483369e rdf:first N497a2f6833bd41128a71fdb2f771b24a
88 rdf:rest N23cb8b7d83cf4d0c9d9a39d23a715f61
89 N16ac1a67113349a19aa2d1edf6371eda rdf:first Nceb757b42e134eeea56715e27a334ef0
90 rdf:rest N98f5653041244876b1a96aec9a8ffa1a
91 N19c238de39314d7782a72f546f50a090 schema:issueNumber 1
92 rdf:type schema:PublicationIssue
93 N1b5ce7fa702f4636ac48f98d745606fe rdf:first N44b1a358f4884a07b915b70a4f9a6ea6
94 rdf:rest N881008c561a0497d882cffd6551379fe
95 N23cb8b7d83cf4d0c9d9a39d23a715f61 rdf:first N8349e15552884103a6176bfda9408720
96 rdf:rest N5e07d4ea5c784083806a71fe835f4551
97 N2df2d444563e4aa9aee32b1ece4927be rdf:first N11dd3c58215545d4952da6cbb5915ede
98 rdf:rest N1b5ce7fa702f4636ac48f98d745606fe
99 N381c8db979dd41aaa58ea357161ea086 schema:name doi
100 schema:value 10.1186/s13045-019-0722-9
101 rdf:type schema:PropertyValue
102 N3cef6b571d0044d79bd3e237c075471e rdf:first Nb5015493fe6d49de9a2702dfcf7e4954
103 rdf:rest N2df2d444563e4aa9aee32b1ece4927be
104 N3ebc86c0b709415ba7fbc0bb76d155d5 schema:name Springer Nature - SN SciGraph project
105 rdf:type schema:Organization
106 N44b1a358f4884a07b915b70a4f9a6ea6 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
107 schema:familyName Chatain
108 schema:givenName Nicolas
109 rdf:type schema:Person
110 N466d492c9573443295e7056beba6b303 schema:name readcube_id
111 schema:value 124310f23ddd1e8f26b7279970777d999f700c8c96d32250888a278e6f878add
112 rdf:type schema:PropertyValue
113 N497a2f6833bd41128a71fdb2f771b24a schema:affiliation https://www.grid.ac/institutes/grid.1957.a
114 schema:familyName Maié
115 schema:givenName Tiago
116 rdf:type schema:Person
117 N4e0fddaeb18e4e359ef923defbaf8419 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
118 schema:familyName Feldberg
119 schema:givenName Kristina
120 rdf:type schema:Person
121 N5c4b4e24919e41339bd85dcb63f94be4 schema:name nlm_unique_id
122 schema:value 101468937
123 rdf:type schema:PropertyValue
124 N5e07d4ea5c784083806a71fe835f4551 rdf:first Nfd2f821a0b6c43b9ad4bce6d80040a93
125 rdf:rest N8122561556b8460da404fa34edefe876
126 N781dd3dceabf4d47ad2410a3e29cb961 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
127 schema:familyName Schubert
128 schema:givenName Claudia
129 rdf:type schema:Person
130 N8122561556b8460da404fa34edefe876 rdf:first Nf2ce195f6e3e4c1bb9b7dced86948585
131 rdf:rest Ndb8136658fe84d83a742c6e6db1ef040
132 N8349e15552884103a6176bfda9408720 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
133 schema:familyName Costa
134 schema:givenName Ivan G.
135 rdf:type schema:Person
136 N881008c561a0497d882cffd6551379fe rdf:first Ndad88eec174b49b18bb72f41fdfc4130
137 rdf:rest rdf:nil
138 N8d1a03b8d733479f9f25bdcf3778bffe schema:volumeNumber 12
139 rdf:type schema:PublicationVolume
140 N98f5653041244876b1a96aec9a8ffa1a rdf:first Na54ff9f30fea47eb95debb837ed73e38
141 rdf:rest N121abc2d129d44eeaad4f66f0483369e
142 Na54ff9f30fea47eb95debb837ed73e38 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
143 schema:familyName Tillmann
144 schema:givenName Stefan
145 rdf:type schema:Person
146 Nb5015493fe6d49de9a2702dfcf7e4954 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
147 schema:familyName Baumeister
148 schema:givenName Julian
149 rdf:type schema:Person
150 Nbcc75df85b7f40bdbc42592e95a33ba9 rdf:first N781dd3dceabf4d47ad2410a3e29cb961
151 rdf:rest N16ac1a67113349a19aa2d1edf6371eda
152 Nceb757b42e134eeea56715e27a334ef0 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
153 schema:familyName Allhoff
154 schema:givenName Manuel
155 rdf:type schema:Person
156 Nd98a9cc16230437c98f3d45b46dcb215 schema:name dimensions_id
157 schema:value pub.1113179502
158 rdf:type schema:PropertyValue
159 Ndad88eec174b49b18bb72f41fdfc4130 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
160 schema:familyName Koschmieder
161 schema:givenName Steffen
162 rdf:type schema:Person
163 Ndb3b4b7fab1941828b6be4148d4187cb schema:name pubmed_id
164 schema:value 30940163
165 rdf:type schema:PropertyValue
166 Ndb8136658fe84d83a742c6e6db1ef040 rdf:first N4e0fddaeb18e4e359ef923defbaf8419
167 rdf:rest N3cef6b571d0044d79bd3e237c075471e
168 Nf2ce195f6e3e4c1bb9b7dced86948585 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
169 schema:familyName Schemionek
170 schema:givenName Mirle
171 rdf:type schema:Person
172 Nfd2f821a0b6c43b9ad4bce6d80040a93 schema:affiliation https://www.grid.ac/institutes/grid.7497.d
173 schema:familyName Lipka
174 schema:givenName Daniel B.
175 rdf:type schema:Person
176 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
177 schema:name Medical and Health Sciences
178 rdf:type schema:DefinedTerm
179 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
180 schema:name Cardiorespiratory Medicine and Haematology
181 rdf:type schema:DefinedTerm
182 sg:journal.1039771 schema:issn 1756-8722
183 schema:name Journal of Hematology & Oncology
184 rdf:type schema:Periodical
185 sg:pub.10.1038/leu.2009.38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002899527
186 https://doi.org/10.1038/leu.2009.38
187 rdf:type schema:CreativeWork
188 sg:pub.10.1038/nature03546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041406511
189 https://doi.org/10.1038/nature03546
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/ncb747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047833568
192 https://doi.org/10.1038/ncb747
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/nri1604 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002731283
195 https://doi.org/10.1038/nri1604
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/nri3581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036931590
198 https://doi.org/10.1038/nri3581
199 rdf:type schema:CreativeWork
200 sg:pub.10.1038/s41375-018-0295-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110129452
201 https://doi.org/10.1038/s41375-018-0295-6
202 rdf:type schema:CreativeWork
203 sg:pub.10.1038/sj.leu.2404549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043862344
204 https://doi.org/10.1038/sj.leu.2404549
205 rdf:type schema:CreativeWork
206 sg:pub.10.1038/sj.leu.2404609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038469614
207 https://doi.org/10.1038/sj.leu.2404609
208 rdf:type schema:CreativeWork
209 sg:pub.10.1038/sj.thj.6200004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056649279
210 https://doi.org/10.1038/sj.thj.6200004
211 rdf:type schema:CreativeWork
212 sg:pub.10.1186/s13045-016-0275-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002992874
213 https://doi.org/10.1186/s13045-016-0275-0
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1002/ijc.28427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049949206
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1002/ijc.2910360105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009323252
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/j.ccr.2005.03.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034806424
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/j.ceb.2015.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014467005
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/j.cell.2013.08.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002481722
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/j.celrep.2015.03.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042981905
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.cytogfr.2016.02.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012897961
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/j.exphem.2010.03.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048341688
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1046/j.1365-2141.2001.02556.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029543142
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1056/nejm199707243370402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034926285
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1056/nejm199904293401706 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030090763
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1056/nejmc1502524 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040488156
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1056/nejmoa022457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052596157
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1056/nejmoa1110556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026700534
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1056/nejmoa1110557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015548963
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1073/pnas.93.26.15092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032154691
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1074/jbc.m011685200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046463262
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1074/jbc.m109.042242 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035767543
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1074/jbc.m111.231068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041740073
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1074/jbc.m113.476192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014807921
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1074/jbc.m406400200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018915759
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1074/jbc.m511797200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022740191
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1074/jbc.m706816200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020236369
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1080/15287394.2012.674914 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021348253
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1093/nar/gkt111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011010100
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1093/rheumatology/keu299 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049170830
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1128/mcb.15.3.1312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018398740
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1172/jci35721 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049461992
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1182/blood-2002-01-0073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005962923
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1182/blood-2002-02-0659 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034504490
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1182/blood-2010-05-286757 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002336875
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1182/blood-2010-12-325373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047042467
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1182/blood-2010-12-326843 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001924846
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1182/blood-2012-05-432989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039362816
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1182/blood-2012-07-442012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046667770
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1182/blood-2013-04-498956 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030677998
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1371/journal.pone.0125783 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012385600
288 rdf:type schema:CreativeWork
289 https://doi.org/10.15252/embj.201592383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021398600
290 rdf:type schema:CreativeWork
291 https://doi.org/10.3324/haematol.2011.061390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011202350
292 rdf:type schema:CreativeWork
293 https://doi.org/10.3324/haematol.2017.181297 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099615106
294 rdf:type schema:CreativeWork
295 https://doi.org/10.3390/ph3040994 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023177712
296 rdf:type schema:CreativeWork
297 https://doi.org/10.4049/jimmunol.1004128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041242317
298 rdf:type schema:CreativeWork
299 https://doi.org/10.4049/jimmunol.174.2.609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003814847
300 rdf:type schema:CreativeWork
301 https://doi.org/10.4161/cc.5.24.3573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072298757
302 rdf:type schema:CreativeWork
303 https://www.grid.ac/institutes/grid.1957.a schema:alternateName RWTH Aachen University
304 schema:name Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Pauwelsstr 30, 52074, Aachen, Germany
305 Institute for Computational Genomics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
306 rdf:type schema:Organization
307 https://www.grid.ac/institutes/grid.7497.d schema:alternateName German Cancer Research Center
308 schema:name Regulation of Cellular Differentiation Group, Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
309 rdf:type schema:Organization
 




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


...