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Plant Cell Division

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Cover of 'Plant Cell Division'

Table of Contents

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    Book Overview
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    Chapter 1 Synchronization of Green Algae by Light and Dark Regimes for Cell Cycle and Cell Division Studies
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    Chapter 2 Plant Cell Division Analyzed by Transient Agrobacterium-Mediated Transformation of Tobacco BY-2 Cells
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    Chapter 3 Identifying Gene Regulatory Networks in Arabidopsis by In Silico Prediction, Yeast-1-Hybrid, and Inducible Gene Profiling Assays.
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    Chapter 4 Cytrap Marker Systems for In Vivo Visualization of Cell Cycle Progression in Arabidopsis
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    Chapter 5 Imaging Nuclear Morphology and Organization in Cleared Plant Tissues Treated with Cell Cycle Inhibitors
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    Chapter 6 Isolation of Plant Nuclei at Defined Cell Cycle Stages Using EdU Labeling and Flow Cytometry.
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    Chapter 7 Preparation and Fluorescent Analysis of Plant Metaphase Chromosomes.
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    Chapter 8 Fluorescence In Situ Hybridization on Rice Chromosomes.
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    Chapter 9 Dynamics of the Plant Nuclear Envelope During Cell Division
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    Chapter 10 Immunolabeling of Nuclei/Chromosomes in Arabidopsis thaliana.
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    Chapter 11 In Vivo Imaging of Microtubule Organization in Dividing Giant Cell.
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    Chapter 12 Real-Time Lineage Analysis to Study Cell Division Orientation in the Arabidopsis Shoot Meristem
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    Chapter 13 Cell Proliferation Analysis Using EdU Labeling in Whole Plant and Histological Samples of Arabidopsis
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    Chapter 14 Studying Cell Division Plane Positioning in Early-Stage Embryos
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    Chapter 15 Characterization of Cytokinetic Mutants Using Small Fluorescent Probes
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    Chapter 16 Using Live-Cell Markers in Maize to Analyze Cell Division Orientation and Timing.
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    Chapter 17 Ratiometric Fluorescence Live Imaging Analysis of Membrane Lipid Order in Arabidopsis Mitotic Cells Using a Lipid Order-Sensitive Probe.
Attention for Chapter 3: Identifying Gene Regulatory Networks in Arabidopsis by In Silico Prediction, Yeast-1-Hybrid, and Inducible Gene Profiling Assays.
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Chapter title
Identifying Gene Regulatory Networks in Arabidopsis by In Silico Prediction, Yeast-1-Hybrid, and Inducible Gene Profiling Assays.
Chapter number 3
Book title
Plant Cell Division
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3142-2_3
Pubmed ID
Book ISBNs
978-1-4939-3141-5, 978-1-4939-3142-2
Authors

Sparks, Erin E, Benfey, Philip N, Sparks, Erin E., Benfey, Philip N., Erin E. Sparks, Philip N. Benfey

Abstract

A system-wide understanding of gene regulation will provide deep insights into plant development and physiology. In this chapter we describe a threefold approach to identify the gene regulatory networks in Arabidopsis thaliana that function in a specific tissue or biological process. Since no single method is sufficient to establish comprehensive and high-confidence gene regulatory networks, we focus on the integration of three approaches. First, we describe an in silico prediction method of transcription factor-DNA binding, then an in vivo assay of transcription factor-DNA binding by yeast-1-hybrid and lastly the identification of co-expression clusters by transcription factor induction in planta. Each of these methods provides a unique tool to advance our understanding of gene regulation, and together provide a robust model for the generation of gene regulatory networks.

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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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 2 17%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 33%
Student > Master 3 25%
Student > Doctoral Student 1 8%
Student > Ph. D. Student 1 8%
Researcher 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 42%
Biochemistry, Genetics and Molecular Biology 3 25%
Nursing and Health Professions 1 8%
Mathematics 1 8%
Unknown 2 17%
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 15 December 2015.
All research outputs
#20,298,249
of 22,835,198 outputs
Outputs from Methods in molecular biology
#9,915
of 13,126 outputs
Outputs of similar age
#330,613
of 393,571 outputs
Outputs of similar age from Methods in molecular biology
#1,053
of 1,470 outputs
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So far Altmetric has tracked 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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