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Epigenetic repression of cardiac progenitor gene expression by Ezh2 is required for postnatal cardiac homeostasis.

Nature genetics | 2012

Adult-onset diseases can be associated with in utero events, but mechanisms for this remain unknown(1,2). The Polycomb histone methyltransferase Ezh2 stabilizes transcription by depositing repressive marks during development that persist into adulthood(3-9), but its function in postnatal organ homeostasis is unknown. We show that Ezh2 stabilizes cardiac gene expression and prevents cardiac pathology by repressing the homeodomain transcription factor gene Six1, which functions in cardiac progenitor cells but is stably silenced upon cardiac differentiation. Deletion of Ezh2 in cardiac progenitors caused postnatal myocardial pathology and destabilized cardiac gene expression with activation of Six1-dependent skeletal muscle genes. Six1 induced cardiomyocyte hypertrophy and skeletal muscle gene expression. Furthermore, genetically reducing Six1 levels rescued the pathology of Ezh2-deficient hearts. Thus, Ezh2-mediated repression of Six1 in differentiating cardiac progenitors is essential for stable gene expression and homeostasis in the postnatal heart. Our results suggest that epigenetic dysregulation in embryonic progenitor cells is a predisposing factor for adult disease and dysregulated stress responses.

Pubmed ID: 22267199 RIS Download

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Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: U01 HL098179
  • Agency: NHLBI NIH HHS, United States
    Id: U01HL098166
  • Agency: NHLBI NIH HHS, United States
    Id: U01HL098179
  • Agency: NCRR NIH HHS, United States
    Id: C06 RR018928
  • Agency: NHLBI NIH HHS, United States
    Id: U01 HL098179-04
  • Agency: NHLBI NIH HHS, United States
    Id: U01 HL098179-01
  • Agency: NHLBI NIH HHS, United States
    Id: U01 HL098179-02
  • Agency: NHLBI NIH HHS, United States
    Id: U01 HL098179-03

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Progen (tool)

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Antibody and density gradient media supplier.

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LIMMA (tool)

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Software package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.

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