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Clinical Applications of PCR

Overview of attention for book
Cover of 'Clinical Applications of PCR'

Table of Contents

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    Book Overview
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    Chapter 1 A Targeted Q-PCR-Based Method for Point Mutation Testing by Analyzing Circulating DNA for Cancer Management Care.
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    Chapter 2 COLD-PCR: Applications and Advantages
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    Chapter 3 PCR-Based Detection of DNA Copy Number Variation.
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    Chapter 4 Emulsion PCR: Techniques and Applications
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    Chapter 5 Digital PCR: Principles and Applications
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    Chapter 6 Quantitative PCR for Plasma Epstein-Barr Virus Loads in Cancer Diagnostics
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    Chapter 7 High-Resolution Melt Curve Analysis in Cancer Mutation Screen
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    Chapter 8 Locked Nucleic Acid Probes (LNA) for Enhanced Detection of Low-Level, Clinically Significant Mutations
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    Chapter 9 Genotyping of Frequent Mutations in Solid Tumors by PCR-Based Single-Base Extension and MassARRAY Analysis
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    Chapter 10 Microfluidics-Based PCR for Fusion Transcript Detection.
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    Chapter 11 Polymerase Chain Reaction Diagnosis of Leishmaniasis: A Species-Specific Approach
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    Chapter 12 Detection of Trypanosoma cruzi by Polymerase Chain Reaction
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    Chapter 13 PCR Techniques in Next-Generation Sequencing.
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    Chapter 14 Single-Cell Quantitative PCR: Advances and Potential in Cancer Diagnostics
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    Chapter 15 Quantitative Real-Time PCR: Recent Advances
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    Chapter 16 PCR Techniques in Characterizing DNA Methylation.
Attention for Chapter 16: PCR Techniques in Characterizing DNA Methylation.
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Chapter title
PCR Techniques in Characterizing DNA Methylation.
Chapter number 16
Book title
Clinical Applications of PCR
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3360-0_16
Pubmed ID
Book ISBNs
978-1-4939-3358-7, 978-1-4939-3360-0
Authors

Wani, Khalida, Aldape, Kenneth D, Khalida Wani, Kenneth D. Aldape

Editors

Rajyalakshmi Luthra, Rajesh R. Singh, Keyur P. Patel

Abstract

DNA methylation was the first epigenetic mark to be discovered, involving the addition of a methyl group to the 5' position of cytosine by DNA methyltransferases, and can be inherited through cell division. DNA methylation plays an important role in normal human development and is associated with the regulation of gene expression, tumorigenesis, and other genetic and epigenetic diseases. Differential methylation is now known to play a central role in the development and outcome of most if not all human malignancies.Bisulfite conversion is a commonly used approach for gene-specific DNA methylation analysis. Treatment of DNA with bisulfite converts cytosine to uracil while leaving 5-methylcytosine intact, allowing for single-nucleotide resolution information about the methylated areas of DNA. PCR-based methods are routinely used to study DNA methylation on a gene-specific basis, after bisulfite treatment. Variations of this method include bisulfite sequencing, methylation-specific PCR, real-time PCR-based MethyLight, and methylation-sensitive high-resolution melting PCR. Several whole-epigenome profiling technologies such as MethylC-seq reduced representation bisulfite sequencing (RRBS) and the Infinium Human methylation 450 K bead chip are now available allowing for the identification of epigenetic drivers of disease processes as well as biomarkers that could potentially be integrated into clinical practice.

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X Demographics

The data shown below were collected from the profiles of 3 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Bachelor 5 15%
Student > Ph. D. Student 4 12%
Student > Master 3 9%
Other 2 6%
Other 3 9%
Unknown 10 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 38%
Agricultural and Biological Sciences 5 15%
Environmental Science 1 3%
Nursing and Health Professions 1 3%
Social Sciences 1 3%
Other 2 6%
Unknown 11 32%
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 05 February 2016.
All research outputs
#15,355,821
of 22,842,950 outputs
Outputs from Methods in molecular biology
#5,347
of 13,127 outputs
Outputs of similar age
#230,878
of 393,571 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,470 outputs
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So far Altmetric has tracked 13,127 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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