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Cell Cycle Oscillators

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Cover of 'Cell Cycle Oscillators'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Cell Cycle Control: A System of Interlinking Oscillators.
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    Chapter 2 Cell Cycle Oscillators
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    Chapter 3 Role of Computational Modeling in Understanding Cell Cycle Oscillators
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    Chapter 4 E2F Transcription Factors Control the Roller Coaster Ride of Cell Cycle Gene Expression
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    Chapter 5 Cell Synchronization of Mouse Embryonic Fibroblasts
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    Chapter 6 Cell Cycle Oscillators
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    Chapter 7 Elutriation for Cell Cycle Synchronization in Fission Yeast.
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    Chapter 8 Spatiotemporal Investigation of Phosphorylation Events During Cell Cycle Progression
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    Chapter 9 Cell Cycle Dynamics of Proteins and Post-translational Modifications Using Quantitative Immunofluorescence
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    Chapter 10 Building a Synthetic Transcriptional Oscillator.
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    Chapter 11 Cell Cycle Oscillators
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    Chapter 12 A Computational Method for Identifying Yeast Cell Cycle Transcription Factors.
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    Chapter 13 Measuring Activity and Specificity of Protein Phosphatases
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    Chapter 14 Combining the Optimized Yeast Cytosine Deaminase Protein Fragment Complementation Assay and an In Vitro Cdk1 Targeting Assay to Study the Regulation of the γ-Tubulin Complex.
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    Chapter 15 Cell Cycle Synchronization Using a Microfluidic Synchronizer for Fission Yeast Cells.
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    Chapter 16 Detection of Protein-Protein Interactions in Tobacco BY-2 Cells Using Bimolecular Fluorescence Complementation.
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    Chapter 17 Tracking the Cyclin B1-GFP Sensor to Profile the Pattern of Mitosis Versus Mitotic Bypass
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    Chapter 18 Cell Cycle Oscillators
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    Chapter 19 Using the Fly-FUCCI System for the Live Analysis of Cell Cycle Dynamics in Cultured Drosophila Cells.
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    Chapter 20 Imaging Cell Cycle Phases and Transitions of Living Cells from Yeast to Woman.
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    Chapter 21 Measurement of Cdk1/Cyclin B Kinase Activity by Specific Antibodies and Western Blotting
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    Chapter 22 Cell Cycle Oscillators
Attention for Chapter 4: E2F Transcription Factors Control the Roller Coaster Ride of Cell Cycle Gene Expression
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Chapter title
E2F Transcription Factors Control the Roller Coaster Ride of Cell Cycle Gene Expression
Chapter number 4
Book title
Cell Cycle Oscillators
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-2957-3_4
Pubmed ID
Book ISBNs
978-1-4939-2956-6, 978-1-4939-2957-3
Authors

Ingrid Thurlings, Alain de Bruin

Abstract

Initially, the E2F transcription factor was discovered as a factor able to bind the adenovirus E2 promoter and activate viral genes. Afterwards it was shown that E2F also binds to promoters of nonviral genes such as C-MYC and DHFR, which were already known at that time to be important for cell growth and DNA metabolism, respectively. These findings provided the first clues that the E2F transcription factor might be an important regulator of the cell cycle. Since this initial discovery in 1987, several additional E2F family members have been identified, and more than 100 targets genes have been shown to be directly regulated by E2Fs, the majority of these are important for controlling the cell cycle.The progression of a cell through the cell cycle is accompanied with the increased expression of a specific set of genes during one phase of the cell cycle and the decrease of the same set of genes during a later phase of the cell cycle. This roller coaster ride, or oscillation, of gene expression is essential for the proper progression through the cell cycle to allow accurate DNA replication and cell division. The E2F transcription factors have been shown to be critical for the temporal expression of the oscillating cell cycle genes.This review will focus on how the oscillation of E2Fs and their targets is regulated by transcriptional, post-transcriptional and post-translational mechanism in mammals, yeast, flies, and worms. Furthermore, we will discuss the functional impact of E2Fs on the cell cycle progression and outline the consequences when E2F expression is disturbed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Researcher 7 16%
Student > Doctoral Student 5 11%
Student > Master 5 11%
Student > Bachelor 4 9%
Other 1 2%
Unknown 13 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 33%
Agricultural and Biological Sciences 9 20%
Medicine and Dentistry 3 7%
Psychology 1 2%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 14 31%