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Cell Cycle Volume 16, 2017 - Issue 20
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Reconciling conflicting models for global control of cell-cycle transcription

Chun-Yi ChoDepartment of Biology, Duke University, Durham, NC, USA
,
Francis C. MottaDepartment of Mathematics, Duke University, Durham, NC, USA
,
Christina M. KelliherDepartment of Biology, Duke University, Durham, NC, USA
,
Anastasia DeckardDepartment of Mathematics, Duke University, Durham, NC, USA
&
Steven B. HaaseDepartment of Biology, Duke University, Durham, NC, USACorrespondence[email protected]
Pages 1965-1978 | Received 04 Aug 2017, Accepted 07 Aug 2017, Published online: 21 Sep 2017

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Chun-Yi Cho, Christina M. Kelliher & Steven B. Haase. (2019) The cell-cycle transcriptional network generates and transmits a pulse of transcription once each cell cycle. Cell Cycle 18:4, pages 363-378.
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Joseph R. Pomerening. (2018) Better together: Unifying discordant cell-cycle oscillator models. Cell Cycle 17:1, pages 9-10.
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Articles from other publishers (11)

Julian Fox, Breschine Cummins, Robert C. Moseley, Marcio Gameiro & Steven B. Haase. (2024) A yeast cell cycle pulse generator model shows consistency with multiple oscillatory and checkpoint mutant datasets. Mathematical Biosciences 367, pages 109102.
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Bradley A. Nicholas, Reshma Purohit, Andrew D. Woods, Kavya Kannan, Ganapati Srinivasa, Julia A. Bridge, Jin-Ah Kim & Charles Keller. (2023) BCR-ABL is enriched in S- and G2-cell cycle phases. Leukemia Research 126, pages 107036.
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Breschine Cummins, Francis C. Motta, Robert C. Moseley, Anastasia Deckard, Sophia Campione, Marcio Gameiro, Tomáš Gedeon, Konstantin Mischaikow & Steven B. Haase. (2022) Experimental guidance for discovering genetic networks through hypothesis reduction on time series. PLOS Computational Biology 18:10, pages e1010145.
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Zhi-Liang Zheng. (2022) Cyclin-Dependent Kinases and CTD Phosphatases in Cell Cycle Transcriptional Control: Conservation across Eukaryotic Kingdoms and Uniqueness to Plants. Cells 11:2, pages 279.
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Robin Belton, Bree Cummins, Tomáš Gedeon & Brittany Terese Fasy. (2022) Extremal event graphs: A (stable) tool for analyzing noisy time series data. Foundations of Data Science 0:0, pages 0-0.
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Mohammad Mofatteh, Fabio Echegaray-Iturra, Andrew Alamban, Francesco Dalla Ricca, Anand Bakshi & Mustafa G Aydogan. (2021) Autonomous clocks that regulate organelle biogenesis, cytoskeletal organization, and intracellular dynamics. eLife 10.
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Nicholas L. Panchy, John P. Lloyd & Shin-Han Shiu. (2020) Improved recovery of cell-cycle gene expression in Saccharomyces cerevisiae from regulatory interactions in multiple omics data. BMC Genomics 21:1.
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Eric Berry, Bree Cummins, Robert R. Nerem, Lauren M. Smith, Steven B. Haase & Tomas Gedeon. (2020) Using extremal events to characterize noisy time series. Journal of Mathematical Biology 80:5, pages 1523-1557.
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Serdar Özsezen, Alexandros Papagiannakis, Haoqi Chen, Bastian Niebel, Andreas Milias-Argeitis & Matthias Heinemann. (2019) Inference of the High-Level Interaction Topology between the Metabolic and Cell-Cycle Oscillators from Single-Cell Dynamics. Cell Systems 9:4, pages 354-365.e6.
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Yukinobu Arata & Hiroaki Takagi. (2019) Quantitative Studies for Cell-Division Cycle Control. Frontiers in Physiology 10.
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Christina M. Kelliher, Matthew W. Foster, Francis C. Motta, Anastasia Deckard, Erik J. Soderblom, M. Arthur Moseley & Steven B. Haase. (2018) Layers of regulation of cell-cycle gene expression in the budding yeast Saccharomyces cerevisiae . Molecular Biology of the Cell 29:22, pages 2644-2655.
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