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Dissecting self-renewal in stem cells with RNA interference

Author

Listed:
  • Natalia Ivanova

    (Princeton University)

  • Radu Dobrin

    (Princeton University)

  • Rong Lu

    (Princeton University)

  • Iulia Kotenko

    (Princeton University)

  • John Levorse

    (Princeton University)

  • Christina DeCoste

    (Princeton University)

  • Xenia Schafer

    (Princeton University)

  • Yi Lun

    (Princeton University)

  • Ihor R. Lemischka

    (Princeton University)

Abstract

We present an integrated approach to identify genetic mechanisms that control self-renewal in mouse embryonic stem cells. We use short hairpin RNA (shRNA) loss-of-function techniques to downregulate a set of gene products whose expression patterns suggest self-renewal regulatory functions. We focus on transcriptional regulators and identify seven genes for which shRNA-mediated depletion negatively affects self-renewal, including four genes with previously unrecognized roles in self-renewal. Perturbations of these gene products are combined with dynamic, global analyses of gene expression. Our studies suggest specific biological roles for these molecules and reveal the complexity of cell fate regulation in embryonic stem cells.

Suggested Citation

  • Natalia Ivanova & Radu Dobrin & Rong Lu & Iulia Kotenko & John Levorse & Christina DeCoste & Xenia Schafer & Yi Lun & Ihor R. Lemischka, 2006. "Dissecting self-renewal in stem cells with RNA interference," Nature, Nature, vol. 442(7102), pages 533-538, August.
    • Handle: RePEc:nat:nature:v:442:y:2006:i:7102:d:10.1038_nature04915
    DOI: 10.1038/nature04915
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    Cited by:

    1. Qing Zhou & Seunghyun Min, 2017. "Uncertainty quantification under group sparsity," Biometrika, Biometrika Trust, vol. 104(3), pages 613-632.

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