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Oral Biology

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Cover of 'Oral Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Salivary Diagnostics Using Purified Nucleic Acids
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    Chapter 2 RNA Sequencing Analysis of Salivary Extracellular RNA
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    Chapter 3 Qualitative and Quantitative Proteome Analysis of Oral Fluids in Health and Periodontal Disease by Mass Spectrometry
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    Chapter 4 Antioxidant Micronutrients and Oxidative Stress Biomarkers
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    Chapter 5 NMR-Based Metabolomics of Oral Biofluids
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    Chapter 6 Gene Therapy of Salivary Diseases
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    Chapter 7 The Oral Microbiota in Health and Disease: An Overview of Molecular Findings
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    Chapter 8 Microbial Community Profiling Using Terminal Restriction Fragment Length Polymorphism (T-RFLP) and Denaturing Gradient Gel Electrophoresis (DGGE)
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    Chapter 9 Analysis of 16S rRNA Gene Amplicon Sequences Using the QIIME Software Package
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    Chapter 10 Adhesion of Yeast and Bacteria to Oral Surfaces
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    Chapter 11 Quantitative Analysis of Periodontal Pathogens Using Real-Time Polymerase Chain Reaction (PCR)
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    Chapter 12 Methods to Study Antagonistic Activities Among Oral Bacteria
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    Chapter 13 Natural Transformation of Oral Streptococci by Use of Synthetic Pheromones
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    Chapter 14 Markerless Genome Editing in Competent Streptococci
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    Chapter 15 Tools and Strategies for Analysis of Genome-Wide and Gene-Specific DNA Methylation Patterns
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    Chapter 16 Generating Multiple Base-Resolution DNA Methylomes Using Reduced Representation Bisulfite Sequencing
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    Chapter 17 A Protocol for the Determination of the Methylation Status of Gingival Tissue DNA at Specific CpG Islands
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    Chapter 18 Genome-Wide Analysis of Periodontal and Peri-Implant Cells and Tissues
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    Chapter 19 Differential Expression and Functional Analysis of High-Throughput -Omics Data Using Open Source Tools
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    Chapter 20 Exploring Genome-Wide Expression Profiles Using Machine Learning Techniques
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    Chapter 21 Embryonic Explant Culture: Studying Effects of Regulatory Molecules on Gene Expression in Craniofacial Tissues
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    Chapter 22 Oral Epithelial Cell Culture Model for Studying the Pathogenesis of Chronic Inflammatory Disease
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    Chapter 23 Fabrication and Characterization of Decellularized Periodontal Ligament Cell Sheet Constructs
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    Chapter 24 A Method to Isolate, Purify, and Characterize Human Periodontal Ligament Stem Cells
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    Chapter 25 Constructing Tissue Microarrays: Protocols and Methods Considering Potential Advantages and Disadvantages for Downstream Use
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    Chapter 26 Growing Adipose-Derived Stem Cells Under Serum-Free Conditions
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    Chapter 27 Quantitative Real-Time Gene Profiling of Human Alveolar Osteoblasts
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    Chapter 28 Proteomic Analysis of Dental Tissue Microsamples
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    Chapter 29 Characterization, Quantification, and Visualization of Neutrophil Extracellular Traps
Attention for Chapter 16: Generating Multiple Base-Resolution DNA Methylomes Using Reduced Representation Bisulfite Sequencing
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Chapter title
Generating Multiple Base-Resolution DNA Methylomes Using Reduced Representation Bisulfite Sequencing
Chapter number 16
Book title
Oral Biology
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6685-1_16
Pubmed ID
Book ISBNs
978-1-4939-6683-7, 978-1-4939-6685-1
Authors

Aniruddha Chatterjee, Euan J. Rodger, Peter A. Stockwell, Gwenn Le Mée, Ian M. Morison

Editors

Gregory J. Seymour, Mary P. Cullinan, Nicholas C.K. Heng

Abstract

Reduced representation bisulfite sequencing (RRBS) is an effective technique for profiling genome-wide DNA methylation patterns in eukaryotes. RRBS couples size selection, bisulfite conversion, and second-generation sequencing to enrich for CpG-dense regions of the genome. The progressive improvement of second-generation sequencing technologies and reduction in cost provided an opportunity to examine the DNA methylation patterns of multiple genomes. Here, we describe a protocol for sequencing multiple RRBS libraries in a single sequencing reaction to generate base-resolution methylomes. Furthermore, we provide a brief guideline for base-calling and data analysis of multiplexed RRBS libraries. These strategies will be useful to perform large-scale, genome-wide DNA methylation analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Researcher 2 13%
Librarian 1 7%
Other 1 7%
Professor 1 7%
Other 3 20%
Unknown 4 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 27%
Medicine and Dentistry 2 13%
Linguistics 1 7%
Arts and Humanities 1 7%
Agricultural and Biological Sciences 1 7%
Other 1 7%
Unknown 5 33%