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Cancer Epigenetics for Precision Medicine

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Cover of 'Cancer Epigenetics for Precision Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 Early Epigenetic Markers for Precision Medicine
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    Chapter 2 Interplay Between Genetic and Epigenetic Changes in Breast Cancer Subtypes
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    Chapter 3 Role of Microbiome in Carcinogenesis Process and Epigenetic Regulation of Colorectal Cancer
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    Chapter 4 Epigenome-Based Precision Medicine in Lung Cancer
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    Chapter 4 Review on Current Trends of Deep Learning
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    Chapter 5 Epigenetics in Hematological Malignancies
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    Chapter 6 MicroRNAs Role in Prostate Cancer
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    Chapter 7 Effects of Dietary Nutrients on Epigenetic Changes in Cancer
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    Chapter 8 Diet, Microbiome, and Epigenetics in the Era of Precision Medicine
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    Chapter 9 Alcohol-Induced Epigenetic Changes in Cancer
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    Chapter 10 Epigenetic Basis of Circadian Rhythm Disruption in Cancer
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    Chapter 11 Epigenetic Changes of the Immune System with Role in Tumor Development
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    Chapter 12 DNA Methylation as a Biomarker of Aging in Epidemiologic Studies
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    Chapter 13 Challenges and Opportunities in Social Epigenomics and Cancer
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    Chapter 14 Epigenetic and Genetic Regulation of PDCD1 Gene in Cancer Immunology
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    Chapter 15 Methylation and MicroRNA Profiling to Understand Racial Disparities of Prostate Cancer
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    Chapter 16 Analysis of DNA Hypermethylation in Pancreatic Cancer Using Methylation-Specific PCR and Bisulfite Sequencing
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    Chapter 17 Pyrosequencing Methylation Analysis
Attention for Chapter 17: Pyrosequencing Methylation Analysis
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Chapter title
Pyrosequencing Methylation Analysis
Chapter number 17
Book title
Cancer Epigenetics for Precision Medicine
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8751-1_17
Pubmed ID
Book ISBNs
978-1-4939-8750-4, 978-1-4939-8751-1
Authors

Matthew Poulin, Jeffrey Y. Zhou, Liying Yan, Toshi Shioda

Abstract

Pyrosequencing, a real-time sequencing technology, is considered a "gold standard" for quantitative allele quantification at single base resolution. Quantitative bisulfite Pyrosequencing determines DNA methylation level by analyzing artificial "C/T" SNPs at CpG sites within a specific Pyrosequencing assay. The bisulfite Pyrosequencing methylation assay design is DNA strand specific and the primer design should not contain any CpG sites and should be free of high-frequency mutations. Additionally Pyrosequencing assays must be tested for preferential amplification during bisulfite PCR to ensure the sequencing quantification accuracy and reproducibility. Pyrosequencing analysis gives a reproducible measurement of average methylation at several CpG sites within the Pyrosequencing assay directly from a PCR product, rapidly and accurately for many samples at a time. It is therefore well suited for clinical research, validation of whole-genome methylation screening results, and global methylation analysis using repetitive elements including LINE-1, Alu, and Sat2. Pyrosequencing reproducibility and accuracy result in low measurement variance, thereby increasing the likelihood of early detection of small changes in methylation levels that may become apparent in response to treatment. For example, the high reproducibility of the LINE-1 assay is important for detecting the relatively small daily changes in methylation levels associated with hypomethylation. This enables detection of differences in patterns between normal and disease tissue such as in tumor suppresser genes, and to determine global methylation changes in response drug treatments. Relatively low cost and easy automation allows the researcher to increase the experiment's sample population to detect trends that would otherwise not have a sufficient sampling basis for statistical significance.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 18%
Student > Master 8 16%
Student > Ph. D. Student 5 10%
Researcher 4 8%
Student > Doctoral Student 2 4%
Other 5 10%
Unknown 17 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 30%
Medicine and Dentistry 3 6%
Agricultural and Biological Sciences 3 6%
Environmental Science 1 2%
Unspecified 1 2%
Other 7 14%
Unknown 20 40%