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Epigenome Editing

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Cover of 'Epigenome Editing'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Editing the Epigenome: Overview, Open Questions, and Directions of Future Development
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    Chapter 2 Zinc Fingers, TALEs, and CRISPR Systems: A Comparison of Tools for Epigenome Editing
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    Chapter 3 Designing Epigenome Editors: Considerations of Biochemical and Locus Specificities
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    Chapter 4 Generation of TALE-Based Designer Epigenome Modifiers
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    Chapter 5 Neuroepigenetic Editing
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    Chapter 6 Allele-Specific Epigenome Editing
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    Chapter 7 Key to Delivery: The (Epi-)genome Editing Vector Toolbox
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    Chapter 8 CRISPR/dCas9 Switch Systems for Temporal Transcriptional Control
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    Chapter 9 Delivery of Designer Epigenome Modifiers into Primary Human T Cells
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    Chapter 10 Viral Expression of Epigenome Editing Tools in Rodent Brain Using Stereotaxic Surgery Techniques
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    Chapter 11 Stable Expression of Epigenome Editors via Viral Delivery and Genomic Integration
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    Chapter 12 Purified Protein Delivery to Activate an Epigenetically Silenced Allele in Mouse Brain
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    Chapter 13 Non-viral Methodology for Efficient Co-transfection
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    Chapter 14 Chromatin Immunoprecipitation in Human and Yeast Cells
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    Chapter 15 Chromatin Immunoprecipitation and High-Throughput Sequencing (ChIP-Seq): Tips and Tricks Regarding the Laboratory Protocol and Initial Downstream Data Analysis
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    Chapter 16 Generation of Whole Genome Bisulfite Sequencing Libraries for Comprehensive DNA Methylome Analysis
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    Chapter 17 Approaches for the Analysis and Interpretation of Whole Genome Bisulfite Sequencing Data
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    Chapter 18 Whole-Genome Bisulfite Sequencing for the Analysis of Genome-Wide DNA Methylation and Hydroxymethylation Patterns at Single-Nucleotide Resolution
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    Chapter 19 Locus-Specific DNA Methylation Analysis by Targeted Deep Bisulfite Sequencing
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    Chapter 20 DNA Methylation Analysis by Bisulfite Conversion Coupled to Double Multiplexed Amplicon-Based Next-Generation Sequencing (NGS)
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    Chapter 21 Cell-to-Cell Transcription Variability as Measured by Single-Molecule RNA FISH to Detect Epigenetic State Switching
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    Chapter 22 Establishment of Cell Lines Stably Expressing dCas9-Fusions to Address Kinetics of Epigenetic Editing
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    Chapter 23 Editing of DNA Methylation Using dCas9-Peptide Repeat and scFv-TET1 Catalytic Domain Fusions
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    Chapter 24 Chemical Inducible dCas9-Guided Editing of H3K27 Acetylation in Mammalian Cells
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    Chapter 25 Screening Regulatory Element Function with CRISPR/Cas9-based Epigenome Editing
Attention for Chapter 18: Whole-Genome Bisulfite Sequencing for the Analysis of Genome-Wide DNA Methylation and Hydroxymethylation Patterns at Single-Nucleotide Resolution
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Chapter title
Whole-Genome Bisulfite Sequencing for the Analysis of Genome-Wide DNA Methylation and Hydroxymethylation Patterns at Single-Nucleotide Resolution
Chapter number 18
Book title
Epigenome Editing
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7774-1_18
Pubmed ID
Book ISBNs
978-1-4939-7773-4, 978-1-4939-7774-1
Authors

Magali Kernaleguen, Christian Daviaud, Yimin Shen, Eric Bonnet, Victor Renault, Jean-François Deleuze, Florence Mauger, Jörg Tost

Abstract

The analysis of genome-wide epigenomic alterations including DNA methylation and hydroxymethylation has become a subject of intensive research for many biological and disease-associated investigations. Whole-genome bisulfite sequencing (WGBS) using next-generation sequencing technologies is currently considered as the gold standard for a comprehensive and quantitative analysis of DNA methylation throughout the genome. However, bisulfite conversion does not allow distinguishing between cytosine methylation and hydroxymethylation requiring an additional chemical or enzymatic step to identify hydroxymethylated cytosines. Here we provide two detailed protocols based on commercial kits for the preparation of sequencing libraries for the comprehensive whole-genome analysis of DNA methylation and/or hydroxymethylation. If only DNA methylation is of interest, sequencing libraries can be constructed from limited amounts of input DNA by ligation of methylated adaptors to the fragmented DNA prior to bisulfite conversion. For samples with significant levels of hydroxymethylation such as stem cells or brain tissue, we describe the protocol of oxidative bisulfite sequencing (OxBs-seq), which in its current version uses a post-bisulfite adaptor tagging (PBAT) approach. Two methylomes need to be generated: a classic methylome following bisulfite conversion and analyzing both methylated and hydroxymethylated cytosines and a methylome analyzing only methylated cytosines, respectively. We also provide a step-by-step description of the data analysis using publicly available bioinformatic tools. The described protocols have been successfully applied to different human samples and yield robust and reproducible results.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 21%
Researcher 13 18%
Student > Bachelor 10 14%
Student > Master 8 11%
Other 5 7%
Other 3 4%
Unknown 17 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 44%
Agricultural and Biological Sciences 9 13%
Medicine and Dentistry 5 7%
Neuroscience 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 5 7%
Unknown 18 25%
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 17 March 2018.
All research outputs
#15,494,712
of 23,026,672 outputs
Outputs from Methods in molecular biology
#5,390
of 13,170 outputs
Outputs of similar age
#269,811
of 442,370 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,026,672 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 13,170 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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