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Forkhead-like transcription factors recruit Ndd1 to the chromatin of G2/M-specific promoters

Author

Listed:
  • Manfred Koranda

    (Ludwig Boltzmann Forschungsstelle, University of Vienna)

  • Alexander Schleiffer

    (Ludwig Boltzmann Forschungsstelle, University of Vienna
    Institute of Molecular Pathology)

  • Lukas Endler

    (Ludwig Boltzmann Forschungsstelle, University of Vienna)

  • Gustav Ammerer

    (Ludwig Boltzmann Forschungsstelle, University of Vienna)

Abstract

Many cell-cycle-specific events are supported by stage-specific gene expression. In budding yeast, at least three different nuclear factors seem to cooperate in the periodic activation of G2/M-specific genes1,2,3. Here we show, by using chromatin immunoprecipitation polymerase chain reaction assays, that a positive regulator, Ndd1, becomes associated with G2/M promoter regions in manner that depends on the stage in cell cycle. Its recruitment depends on a permanent protein–DNA complex consisting of the MADS box protein, Mcm1, and a recently identified partner Fkh2, a forkhead/winged helix related transcription factor4,5. The lethality of Ndd1 depletion is suppressed by fkh2 null mutations, which indicates that Fkh2 may also have a negative regulatory role in the transcription of G2/M-induced RNAs. We conclude that Ndd1–Fkh2 interactions may be the transcriptionally important process targeted by Cdk activity.

Suggested Citation

  • Manfred Koranda & Alexander Schleiffer & Lukas Endler & Gustav Ammerer, 2000. "Forkhead-like transcription factors recruit Ndd1 to the chromatin of G2/M-specific promoters," Nature, Nature, vol. 406(6791), pages 94-98, July.
    • Handle: RePEc:nat:nature:v:406:y:2000:i:6791:d:10.1038_35017589
    DOI: 10.1038/35017589
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    Cited by:

    1. Yue, Mu & Li, Jialiang & Cheng, Ming-Yen, 2019. "Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 131(C), pages 222-234.
    2. Ajmal Hamda B. & Madden Michael G., 2020. "Inferring dynamic gene regulatory networks with low-order conditional independencies – an evaluation of the method," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 19(4-6), pages 1-19, December.

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