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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
  24. Altmetric Badge
    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
  26. Altmetric Badge
    Chapter 25 Screening Regulatory Element Function with CRISPR/Cas9-based Epigenome Editing
Attention for Chapter 14: Chromatin Immunoprecipitation in Human and Yeast Cells
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Chapter title
Chromatin Immunoprecipitation in Human and Yeast Cells
Chapter number 14
Book title
Epigenome Editing
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7774-1_14
Pubmed ID
Book ISBNs
978-1-4939-7773-4, 978-1-4939-7774-1
Authors

Jessica B. Lee, Albert J. Keung, Lee, Jessica B., Keung, Albert J.

Abstract

Chromatin immunoprecipitation (ChIP) is an invaluable method to characterize interactions between proteins and genomic DNA, such as the genomic localization of transcription factors and posttranslational modification of histones. DNA and proteins are reversibly and covalently crosslinked using formaldehyde. Then the cells are lysed to release the chromatin. The chromatin is fragmented into smaller sizes either by micrococcal nuclease (MNase) or sonication and then purified from other cellular components. The protein-DNA complexes are enriched by immunoprecipitation (IP) with antibodies that target the epitope of interest. The DNA is released from the proteins by heat and protease treatment, followed by degradation of contaminating RNAs with RNase. The resulting DNA is analyzed using various methods, including PCR, qPCR, or sequencing. This protocol outlines each of these steps for both yeast and human cells.

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The data shown below were collected from the profiles of 2 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 25%
Researcher 4 17%
Student > Master 3 13%
Student > Ph. D. Student 3 13%
Other 2 8%
Other 2 8%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 38%
Agricultural and Biological Sciences 5 21%
Medicine and Dentistry 3 13%
Immunology and Microbiology 2 8%
Neuroscience 2 8%
Other 0 0%
Unknown 3 13%
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 11 March 2018.
All research outputs
#18,590,133
of 23,026,672 outputs
Outputs from Methods in molecular biology
#7,971
of 13,170 outputs
Outputs of similar age
#330,575
of 442,370 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.