Literature DB >> 18758238

Transcription networks and cyclin/CDKs: the yin and yang of cell cycle oscillators.

Laura A Simmons Kovacs1, David A Orlando, Steven B Haase.   

Abstract

It is widely accepted that the central cell cycle oscillator is based on cyclin/CDK complexes. In a recent study, we challenged this model, and showed that a transcription factor network can drive correctly-timed periodic events independent of cyclin/CDK functions. The transcription factor network oscillator was revealed in budding yeast cells deleted for all six B-cyclin genes. These cells undergo successive rounds of budding, and continue to activate the bulk of the cell cycle-regulated genes on schedule, even though they are unable to replicate DNA or enter mitosis. These findings led us to propose that the cell cycle is regulated by the coupled activities of a transcription network oscillator and the CDK oscillator. Here, we discuss the transcription network oscillator in the context of the historical view that CDKs form the central cell cycle oscillator. We also discuss the role of transcription networks in controlling temporal programs in a variety of biological systems and their ability to function as oscillators. Finally, we consider how the transcription network oscillator collaborates with CDKs and checkpoint mechanisms to control the ordered events of the cell cycle.

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Year:  2008        PMID: 18758238     DOI: 10.4161/cc.7.17.6515

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  22 in total

1.  Cyclin-dependent kinase 8 regulates mitotic commitment in fission yeast.

Authors:  Zsolt Szilagyi; Gabor Banyai; Marcela Davila Lopez; Christopher J McInerny; Claes M Gustafsson
Journal:  Mol Cell Biol       Date:  2012-03-26       Impact factor: 4.272

Review 2.  Topology and control of the cell-cycle-regulated transcriptional circuitry.

Authors:  Steven B Haase; Curt Wittenberg
Journal:  Genetics       Date:  2014-01       Impact factor: 4.562

3.  A homeodomain transcription factor regulates the DNA replication checkpoint in yeast.

Authors:  Frances S Purtill; Simon K Whitehall; Emma S Williams; Christopher J McInerny; Andrew D Sharrocks; Brian A Morgan
Journal:  Cell Cycle       Date:  2011-02-15       Impact factor: 4.534

4.  Using extremal events to characterize noisy time series.

Authors:  Eric Berry; Bree Cummins; Robert R Nerem; Lauren M Smith; Steven B Haase; Tomas Gedeon
Journal:  J Math Biol       Date:  2020-02-01       Impact factor: 2.259

5.  Reconciling conflicting models for global control of cell-cycle transcription.

Authors:  Chun-Yi Cho; Francis C Motta; Christina M Kelliher; Anastasia Deckard; Steven B Haase
Journal:  Cell Cycle       Date:  2017-09-21       Impact factor: 4.534

6.  Dynamic motif occupancy (DynaMO) analysis identifies transcription factors and their binding sites driving dynamic biological processes.

Authors:  Zheng Kuang; Zhicheng Ji; Jef D Boeke; Hongkai Ji
Journal:  Nucleic Acids Res       Date:  2018-01-09       Impact factor: 16.971

7.  The Late S-Phase Transcription Factor Hcm1 Is Regulated through Phosphorylation by the Cell Wall Integrity Checkpoint.

Authors:  Takahiro Negishi; Jiri Veis; David Hollenstein; Mizuho Sekiya; Gustav Ammerer; Yoshikazu Ohya
Journal:  Mol Cell Biol       Date:  2016-01-04       Impact factor: 4.272

8.  Reliability of transcriptional cycles and the yeast cell-cycle oscillator.

Authors:  Volkan Sevim; Xinwei Gong; Joshua E S Socolar
Journal:  PLoS Comput Biol       Date:  2010-07-08       Impact factor: 4.475

9.  Coordinated progression through two subtranscriptomes underlies the tachyzoite cycle of Toxoplasma gondii.

Authors:  Michael S Behnke; John C Wootton; Margaret M Lehmann; Josh B Radke; Olivier Lucas; Julie Nawas; L David Sibley; Michael W White
Journal:  PLoS One       Date:  2010-08-26       Impact factor: 3.240

10.  Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach.

Authors:  Marc Bailly-Bechet; Alfredo Braunstein; Andrea Pagnani; Martin Weigt; Riccardo Zecchina
Journal:  BMC Bioinformatics       Date:  2010-06-29       Impact factor: 3.169

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