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Plant Chromatin Dynamics

Overview of attention for book
Cover of 'Plant Chromatin Dynamics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Profiling Developmentally and Environmentally Controlled Chromatin Reprogramming
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    Chapter 2 Profiling DNA Methylation Using Bisulfite Sequencing (BS-Seq)
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    Chapter 3 Bisulfite Sequencing Using Small DNA Amounts
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    Chapter 4 Identification of Differentially Methylated Regions in the Genome of Arabidopsis thaliana
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    Chapter 5 A Rapid and Efficient ChIP Protocol to Profile Chromatin Binding Proteins and Epigenetic Modifications in Arabidopsis
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    Chapter 6 Sequential ChIP Protocol for Profiling Bivalent Epigenetic Modifications (ReChIP)
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    Chapter 7 A Method to Identify Nucleolus-Associated Chromatin Domains (NADs)
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    Chapter 8 Cell Type-Specific Profiling of Chromatin Modifications and Associated Proteins
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    Chapter 9 Mapping of Histone Modifications in Plants by Tandem Mass Spectrometry
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    Chapter 10 Histone H1 Purification and Post-Translational Modification Profiling by High–Resolution Mass Spectrometry
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    Chapter 11 Profiling Nucleosome Occupancy by MNase-seq: Experimental Protocol and Computational Analysis
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    Chapter 12 Identification of Open Chromatin Regions in Plant Genomes Using ATAC-Seq
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    Chapter 13 Unraveling the Complex Epigenetic Mechanisms that Regulate Gene Activity
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    Chapter 14 Technical Review: A Hitchhiker’s Guide to Chromosome Conformation Capture
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    Chapter 15 3C in Maize and Arabidopsis
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    Chapter 16 Profiling Histone Modifications in Synchronized Floral Tissues for Quantitative Resolution of Chromatin and Transcriptome Dynamics
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    Chapter 17 De Novo Identification of sRNA Loci and Non-coding RNAs by High-Throughput Sequencing
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    Chapter 18 Identification of In Planta Protein–Protein Interactions Using IP-MS
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    Chapter 19 RNA Immunoprecipitation Protocol to Identify Protein–RNA Interactions in Arabidopsis thaliana
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    Chapter 20 In Vitro Assays to Measure Histone Methyltransferase Activity Using Different Chromatin Substrates
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    Chapter 21 Identification of Parent-of-Origin-Dependent QTLs Using Bulk-Segregant Sequencing (Bulk-Seq)
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    Chapter 22 QTLepi Mapping in Arabidopsis thaliana
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    Chapter 23 A Compendium of Methods to Analyze the Spatial Organization of Plant Chromatin
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    Chapter 24 Localization of Chromatin Marks in Arabidopsis Early Embryos
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    Chapter 25 Cell-Type Specific Chromatin Analysis in Whole-Mount Plant Tissues by Immunostaining
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    Chapter 26 Measuring Dynamics of Histone Proteins by Photobleaching in Arabidopsis Roots
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    Chapter 27 Fluorescence In Situ Hybridization (FISH) and Immunolabeling on 3D Preserved Nuclei
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    Chapter 28 High-Affinity LNA–DNA Mixmer Probes for Detection of Chromosome-Specific Polymorphisms of 5S rDNA Repeats in Arabidopsis thaliana
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    Chapter 29 A Method for Testing Random Spatial Models on Nuclear Object Distributions
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    Chapter 30 Technical Review: Cytogenetic Tools for Studying Mitotic Chromosomes
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    Chapter 31 Technical Review: Microscopy and Image Processing Tools to Analyze Plant Chromatin: Practical Considerations
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    Chapter 32 Automated 3D Gene Position Analysis Using a Customized Imaris Plugin: XTFISHInsideNucleus
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    Chapter 33 Quantitative 3D Analysis of Nuclear Morphology and Heterochromatin Organization from Whole-Mount Plant Tissue Using NucleusJ
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    Chapter 34 Transmission Electron Microscopy Imaging to Analyze Chromatin Density Distribution at the Nanoscale Level
  36. Altmetric Badge
    Chapter 35 Erratum to: Bisulfite Sequencing Using Small DNA Amounts
Attention for Chapter 14: Technical Review: A Hitchhiker’s Guide to Chromosome Conformation Capture
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

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12 tweeters

Citations

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5 Dimensions

Readers on

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44 Mendeley
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Chapter title
Technical Review: A Hitchhiker’s Guide to Chromosome Conformation Capture
Chapter number 14
Book title
Plant Chromatin Dynamics
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7318-7_14
Pubmed ID
Book ISBNs
978-1-4939-7317-0, 978-1-4939-7318-7
Authors

Stefan Grob, Giacomo Cavalli

Abstract

The introduction of chromosome conformation capture (3C) technologies boosted the field of 3D-genome research and significantly enhanced the available toolset to study chromosomal architecture. 3C technologies not only offer increased resolution compared to the previously dominant cytological approaches but also allow the simultaneous study of genome-wide 3D chromatin contacts, thereby enabling a candidate-free perspective on 3D-genome architecture. Since its introduction in 2002, 3C technologies evolved rapidly and now constitute a collection of tools, each with their strengths and pitfalls with respect to specific research questions. This chapter aims at guiding 3C novices through the labyrinth of potential applications of the various family members, hopefully providing a valuable basis for choosing the appropriate strategy for different research questions.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 30%
Researcher 12 27%
Student > Master 6 14%
Student > Bachelor 3 7%
Professor > Associate Professor 2 5%
Other 6 14%
Unknown 2 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 52%
Agricultural and Biological Sciences 9 20%
Neuroscience 2 5%
Immunology and Microbiology 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 11%
Unknown 3 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 October 2017.
All research outputs
#3,729,115
of 16,035,941 outputs
Outputs from Methods in molecular biology
#929
of 9,312 outputs
Outputs of similar age
#84,838
of 324,363 outputs
Outputs of similar age from Methods in molecular biology
#1
of 1 outputs
Altmetric has tracked 16,035,941 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,312 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 89% of its peers.
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 324,363 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them