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Epigenome Editing

Overview of attention for book
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 22: Establishment of Cell Lines Stably Expressing dCas9-Fusions to Address Kinetics of Epigenetic Editing
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Chapter title
Establishment of Cell Lines Stably Expressing dCas9-Fusions to Address Kinetics of Epigenetic Editing
Chapter number 22
Book title
Epigenome Editing
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7774-1_22
Pubmed ID
Book ISBNs
978-1-4939-7773-4, 978-1-4939-7774-1
Authors

Désirée Goubert, Mihály Koncz, Antal Kiss, Marianne G. Rots, Goubert, Désirée, Koncz, Mihály, Kiss, Antal, Rots, Marianne G.

Abstract

Epigenetic editing is a promising approach to modulate the local chromatin environment of target genes with the ultimate goal of stable gene expression reprogramming. Epigenetic editing tools minimally consist of a DNA-binding domain and an effector domain. The CRISPR/dCas9 platform, where mutations in the nuclease domains render the Cas9 protein inactive, is widely used to guide epigenetic effectors to their intended genomic loci. Its flexible nature, simple use, and relatively low cost have revolutionized the research field of epigenetic editing. Although effective expression modulation is readily achieved, only a few studies have addressed the maintenance of the induced effects on endogenous loci. Here, we describe a detailed protocol to engineer cells that stably express the CRISPR/dCas9-effectors. The protocol involves modification of published dCas9-based plasmid vectors for easy transfer of the effector domain between the vector designed for transient transfection and the vector used for establishing cell lines stably expressing the dCas9-effector fusion protein. Transient transfection of the dCas9-effector-producing cells with sgRNA-expressing plasmids allows studying of the maintenance of epigenetic editing. Targeting various genes in different chromatin contexts and/or co-targeting multiple CRISPR/dCas9-effectors can be used to unravel rules underlying maintained gene expression reprogramming.

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

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 15%
Other 2 10%
Student > Master 2 10%
Student > Ph. D. Student 2 10%
Lecturer > Senior Lecturer 1 5%
Other 2 10%
Unknown 8 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 30%
Agricultural and Biological Sciences 2 10%
Philosophy 1 5%
Linguistics 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 10%
Unknown 7 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 May 2018.
All research outputs
#15,165,138
of 23,323,574 outputs
Outputs from Methods in molecular biology
#4,835
of 13,334 outputs
Outputs of similar age
#257,614
of 444,068 outputs
Outputs of similar age from Methods in molecular biology
#511
of 1,502 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,334 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% 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 444,068 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,502 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 60% of its contemporaries.