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ASXL1 mutations promote myeloid transformation through loss of PRC2-mediated gene repression.

Cancer cell | 2012

Recurrent somatic ASXL1 mutations occur in patients with myelodysplastic syndrome, myeloproliferative neoplasms, and acute myeloid leukemia, and are associated with adverse outcome. Despite the genetic and clinical data implicating ASXL1 mutations in myeloid malignancies, the mechanisms of transformation by ASXL1 mutations are not understood. Here, we identify that ASXL1 mutations result in loss of polycomb repressive complex 2 (PRC2)-mediated histone H3 lysine 27 (H3K27) tri-methylation. Through integration of microarray data with genome-wide histone modification ChIP-Seq data, we identify targets of ASXL1 repression, including the posterior HOXA cluster that is known to contribute to myeloid transformation. We demonstrate that ASXL1 associates with the PRC2, and that loss of ASXL1 in vivo collaborates with NRASG12D to promote myeloid leukemogenesis.

Pubmed ID: 22897849 RIS Download

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: U54 CA143798
  • Agency: NCI NIH HHS, United States
    Id: K08 CA160647
  • Agency: NCI NIH HHS, United States
    Id: R01 CA105129
  • Agency: NCI NIH HHS, United States
    Id: R01 CA169784
  • Agency: NCI NIH HHS, United States
    Id: 1K08CA160647-01
  • Agency: Howard Hughes Medical Institute, United States
  • Agency: NCI NIH HHS, United States
    Id: R01 CA173636
  • Agency: NHLBI NIH HHS, United States
    Id: 5U01HL100395

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Gene Expression Omnibus (GEO) (tool)

RRID:SCR_007303

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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