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Cell Cycle Control

Overview of attention for book
Cover of 'Cell Cycle Control'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Cell Cycle-Regulated Transcription: Effectively Using a Genomics Toolbox.
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    Chapter 2 Cell Cycle Regulation by Checkpoints.
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    Chapter 3 Interplay Between the Cell Cycle and Double-Strand Break Response in Mammalian Cells
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    Chapter 4 Cell Cycle Regulation by Protein Degradation
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    Chapter 5 Linking Chromosome Duplication and Segregation via Sister Chromatid Cohesion.
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    Chapter 6 The Greatwall-PP2A Axis in Cell Cycle Control.
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    Chapter 7 Cell Cycle Regulation by the Nutrient-Sensing Mammalian Target of Rapamycin (mTOR) Pathway.
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    Chapter 8 The senescence arrest program and the cell cycle.
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    Chapter 9 Oncogenic Ras Pushes (and Pulls) Cell Cycle Progression Through ERK Activation
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    Chapter 10 Cell Cycle Regulation During Viral Infection
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    Chapter 11 The roles of cohesins in mitosis, meiosis, and human health and disease.
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    Chapter 12 Introductory Review of Computational Cell Cycle Modeling
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    Chapter 13 Cell Cycle Synchronization and Flow Cytometry Analysis of Mammalian Cells
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    Chapter 14 Analyzing Transcription Dynamics During the Budding Yeast Cell Cycle.
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    Chapter 15 Analyzing cell cycle checkpoints in response to ionizing radiation in Mammalian cells.
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    Chapter 16 Analyzing DNA replication checkpoint in budding yeast.
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    Chapter 17 Analyzing cell cycle-dependent degradation and ubiquitination in budding yeast.
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    Chapter 18 Imaging Analysis of Cell Cycle-Dependent Degradation of Cdt1 in Mammalian Cells
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    Chapter 19 PCNA-Dependent Ubiquitination of Cdt1 and p21 in Mammalian Cells.
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    Chapter 20 Analyzing Cdc2/Cdk1 Activation During Stress Response in Schizosaccharomyces pombe.
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    Chapter 21 Analyzing Ras-Associated Cell Proliferation Signaling
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    Chapter 22 Telomere Regulation During the Cell Cycle in Fission Yeast.
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    Chapter 23 Detecting Senescence: Methods and Approaches
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    Chapter 24 Analyzing RB and E2F During the G1–S Transition
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    Chapter 25 Analyzing G1-S Transcriptional Control.
  27. Altmetric Badge
    Chapter 26 Analysis of Replication Timing Using Synchronized Budding Yeast Cultures.
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    Chapter 27 Analysis of ssDNA Gaps and DSBs in Genetically Unstable Yeast Cultures.
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    Chapter 28 Chromatin Fractionation Analysis of Licensing Factors in Mammalian Cells.
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    Chapter 29 Imaging Analysis to Determine Chromatin Binding of the Licensing Factor MCM2-7 in Mammalian Cells.
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    Chapter 30 Chromatin Immunoprecipitation to Investigate Origin Association of Replication Factors in Mammalian Cells.
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    Chapter 31 Live-Cell Fluorescence Imaging for Phenotypic Analysis of Mitosis.
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    Chapter 32 Analyzing sister chromatid cohesion in Mammalian cells.
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    Chapter 33 Affinity Purification of Protein Complexes from Drosophila Embryos in Cell Cycle Studies.
  35. Altmetric Badge
    Chapter 34 Tracking Histone Variant Nucleosomes Across the Human Cell Cycle Using Biophysical, Biochemical, and Cytological Analyses.
Attention for Chapter 27: Analysis of ssDNA Gaps and DSBs in Genetically Unstable Yeast Cultures.
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Chapter title
Analysis of ssDNA Gaps and DSBs in Genetically Unstable Yeast Cultures.
Chapter number 27
Book title
Cell Cycle Control
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0888-2_27
Pubmed ID
Book ISBNs
978-1-4939-0887-5, 978-1-4939-0888-2
Authors

Jie Peng, M K Raghuraman, Wenyi Feng, M. K. Raghuraman, Peng, Jie, Raghuraman, M. K., Feng, Wenyi

Abstract

DNA replication defects are an underlying cause of genome instability, which could stem from alterations in replication intermediates such as extensive single-stranded DNA (ssDNA). Under replication stress, ssDNA is a precursor of the ultimate double-strand breaks (DSBs). Indeed, mutations that render the cell incapable of mediating and protecting the replication forks produce ssDNA genome-wide at high frequency and cause lethality when encountering DNA damage or replication perturbation. Here we describe two related microarray-based methods to query genetically unstable yeast cultures, such as the mec1 and rad53 mutants. These mutants are defective in central protein kinases in the checkpoint pathway. To induce ssDNA and DSB formation in these mutants, we utilize hydroxyurea, a drug that causes nucleotide shortage in the cell.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Lecturer 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 20%
Social Sciences 1 20%
Medicine and Dentistry 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 June 2014.
All research outputs
#15,301,754
of 22,757,090 outputs
Outputs from Methods in molecular biology
#5,314
of 13,089 outputs
Outputs of similar age
#190,021
of 305,260 outputs
Outputs of similar age from Methods in molecular biology
#200
of 597 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 597 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.