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DNA Methylation Protocols

Overview of attention for book
Cover of 'DNA Methylation Protocols'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Summary of the Biological Processes, Disease-Associated Changes, and Clinical Applications of DNA Methylation
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    Chapter 2 Considerations for Design and Analysis of DNA Methylation Studies
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    Chapter 3 Quantification of Global DNA Methylation Levels by Mass Spectrometry
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    Chapter 4 Antibody-Based Detection of Global Nuclear DNA Methylation in Cells, Tissue Sections, and Mammalian Embryos
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    Chapter 5 Whole-Genome Bisulfite Sequencing Using the Ovation® Ultralow Methyl-Seq Protocol
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    Chapter 6 Tagmentation-Based Library Preparation for Low DNA Input Whole Genome Bisulfite Sequencing
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    Chapter 7 Post-Bisulfite Adaptor Tagging for PCR-Free Whole-Genome Bisulfite Sequencing
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    Chapter 8 Multiplexed Reduced Representation Bisulfite Sequencing with Magnetic Bead Fragment Size Selection
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    Chapter 9 Low Input Whole-Genome Bisulfite Sequencing Using a Post-Bisulfite Adapter Tagging Approach
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    Chapter 10 Methyl-CpG-Binding Domain Sequencing: MBD-seq
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    Chapter 11 The HELP-Based DNA Methylation Assays
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    Chapter 12 Comprehensive Whole DNA Methylome Analysis by Integrating MeDIP-seq and MRE-seq
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    Chapter 13 Digital Restriction Enzyme Analysis of Methylation (DREAM)
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    Chapter 14 Nucleosome Occupancy and Methylome Sequencing (NOMe-seq)
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    Chapter 15 Bisulphite Sequencing of Chromatin Immunoprecipitated DNA (BisChIP-seq)
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    Chapter 16 A Guide to Illumina BeadChip Data Analysis
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    Chapter 17 Microdroplet PCR for Highly Multiplexed Targeted Bisulfite Sequencing
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    Chapter 18 Multiplexed DNA Methylation Analysis of Target Regions Using Microfluidics (Fluidigm)
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    Chapter 19 Large-Scale Targeted DNA Methylation Analysis Using Bisulfite Padlock Probes
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    Chapter 20 Targeted Bisulfite Sequencing Using the SeqCap Epi Enrichment System
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    Chapter 21 Multiplexed and Sensitive DNA Methylation Testing Using Methylation-Sensitive Restriction Enzymes “MSRE-qPCR”
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    Chapter 22 Quantitative DNA Methylation Analysis at Single-Nucleotide Resolution by Pyrosequencing®
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    Chapter 23 Methylation-Specific PCR
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    Chapter 24 Quantitation of DNA Methylation by Quantitative Multiplex Methylation-Specific PCR (QM-MSP) Assay
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    Chapter 25 MethyLight and Digital MethyLight
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    Chapter 26 Quantitative Region-Specific DNA Methylation Analysis by the EpiTYPER™ Technology
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    Chapter 27 Methylation-Specific Multiplex Ligation-Dependent Probe Amplification (MS-MLPA)
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    Chapter 28 Methylation-Sensitive High Resolution Melting (MS-HRM)
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    Chapter 29 Hairpin Bisulfite Sequencing: Synchronous Methylation Analysis on Complementary DNA Strands of Individual Chromosomes
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    Chapter 30 Helper-Dependent Chain Reaction (HDCR) for Selective Amplification of Methylated DNA Sequences
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    Chapter 31 DNA Methylation Analysis from Blood Spots: Increasing Yield and Quality for Genome-Wide and Locus-Specific Methylation Analysis
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    Chapter 32 DNA Methylation Analysis of Free-Circulating DNA in Body Fluids
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    Chapter 33 Tet-Assisted Bisulfite Sequencing (TAB-seq)
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    Chapter 34 Multiplexing for Oxidative Bisulfite Sequencing (oxBS-seq)
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    Chapter 35 Affinity-Based Enrichment Techniques for the Genome-Wide Analysis of 5-Hydroxymethylcytosine
Attention for Chapter 21: Multiplexed and Sensitive DNA Methylation Testing Using Methylation-Sensitive Restriction Enzymes “MSRE-qPCR”
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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Chapter title
Multiplexed and Sensitive DNA Methylation Testing Using Methylation-Sensitive Restriction Enzymes “MSRE-qPCR”
Chapter number 21
Book title
DNA Methylation Protocols
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7481-8_21
Pubmed ID
Book ISBNs
978-1-4939-7479-5, 978-1-4939-7481-8
Authors

Gabriel Beikircher, Walter Pulverer, Manuela Hofner, Christa Noehammer, Andreas Weinhaeusel

Abstract

DNA methylation is a chemically stable key-player in epigenetics. In the vertebrate genome the 5-methyl cytosine (5mC) has been found almost exclusively in the CpG dinucleotide context. CpG dinucleotides are enriched in CpG islands very frequently located within or close to gene promoters. Analyses of DNA methylation changes in human diagnostics have been conducted classically using methylation-sensitive restriction enzymes (MSRE). Since the discovery of bisulfite conversion-based sequencing and PCR assays, MSRE-based PCR assays have been less frequently used, although especially in the field of cancer epigenetics MSRE-based genome-wide discovery and targeted screening applications have been and are still performed successfully. Even though epigenome-wide discovery of altered DNA methylation patterns has found its way into various fields of human disease and molecular genetics research, the validation of findings upon discovery is still a bottleneck. Usually several multiples of 10 up to 100 candidate biomarkers from discovery have to be confirmed or are of interest for further work. In particular, bisulfite PCR assays are often limited in the number of candidates which can be analyzed, due to their low multiplexing capability, especially, if only small amounts of DNA are available from for example clinical specimens. In clinical research and diagnostics a similar situation arises for the analyses of cell-free DNA (cfDNA) in body fluids or circulating tumor cells (CTCs). Although tissue- or disease- (e.g., cancer) specific DNA methylation patterns can be deduced very efficiently in a genome-wide manner if around 100 ng of DNA are available, confirming these candidates and selecting target-sequences for studying methylation changes in liquid biopsies using cfDNA or CTCs remains a big challenge. Along these lines we have developed MSRE-qPCR and introduce here method details, which have been found very suitable for the efficient confirmation and testing of DNA methylation in a quantitative multiplexed manner (e.g., 48-96 plex) from ng amounts of DNA. The method is applicable in a standard qPCR setting as well for nanoliter scaled high-throughput qPCR, enabling detection of <10 copies of targets, thus suitable to pick up 0.1-1% of specific methylated DNA in an unmethylated background.

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Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 27%
Student > Bachelor 8 15%
Researcher 7 13%
Student > Master 6 11%
Unspecified 2 4%
Other 4 7%
Unknown 13 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 42%
Agricultural and Biological Sciences 6 11%
Medicine and Dentistry 3 5%
Unspecified 2 4%
Chemistry 2 4%
Other 4 7%
Unknown 15 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 February 2021.
All research outputs
#3,099,825
of 23,011,300 outputs
Outputs from Methods in molecular biology
#663
of 13,157 outputs
Outputs of similar age
#71,623
of 442,319 outputs
Outputs of similar age from Methods in molecular biology
#44
of 1,498 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% 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 442,319 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.