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Clinical Applications of Nucleic Acid Amplification

Overview of attention for book
Clinical Applications of Nucleic Acid Amplification
Springer US
Attention for Chapter: Capture Methylation-Sensitive Restriction Enzyme Sequencing (Capture MRE-Seq) for Methylation Analysis of Highly Degraded DNA Samples.
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Chapter title
Capture Methylation-Sensitive Restriction Enzyme Sequencing (Capture MRE-Seq) for Methylation Analysis of Highly Degraded DNA Samples.
Book title
Clinical Applications of Nucleic Acid Amplification
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-2950-5_6
Pubmed ID
Book ISBNs
978-1-07-162949-9, 978-1-07-162950-5
Authors

Xing, Xiaoyun, Karlow, Jennifer A, Li, Daofeng, Jang, Hyo Sik, Lee, Hyung Joo, Wang, Ting, Karlow, Jennifer A.

Abstract

Understanding the impact of DNA methylation within different disease contexts often requires accurate assessment of these modifications in a genome-wide fashion. Frequently, patient-derived tissues stored in long-term hospital tissue banks have been preserved using formalin-fixation paraffin-embedding (FFPE). While these samples can comprise valuable resources for studying disease, the fixation process ultimately compromises the DNA's integrity and leads to degradation. Degraded DNA can complicate CpG methylome profiling using traditional techniques, particularly when performing methylation-sensitive restriction enzyme sequencing (MRE-seq), yielding high backgrounds and resulting in lowered library complexity. Here, we describe Capture MRE-seq, a new MRE-seq protocol tailored to preserving unmethylated CpG information when using samples with highly degraded DNA. The results using Capture MRE-seq correlate well (0.92) with traditional MRE-seq calls when profiling non-degraded samples, and can recover unmethylated regions in highly degraded samples when traditional MRE-seq fails, which we validate using bisulfite sequencing-based data (WGBS) as well as methylated DNA immunoprecipitation followed by sequencing (MeDIP-seq).

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Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 50%
Unknown 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Unknown 1 50%
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 12 April 2023.
All research outputs
#20,924,291
of 25,698,912 outputs
Outputs from Methods in molecular biology
#9,148
of 14,362 outputs
Outputs of similar age
#354,652
of 479,428 outputs
Outputs of similar age from Methods in molecular biology
#538
of 714 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,362 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 714 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.