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Oral Biology

Overview of attention for book
Cover of 'Oral Biology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 15: Tools and Strategies for Analysis of Genome-Wide and Gene-Specific DNA Methylation Patterns
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Chapter title
Tools and Strategies for Analysis of Genome-Wide and Gene-Specific DNA Methylation Patterns
Chapter number 15
Book title
Oral Biology
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6685-1_15
Pubmed ID
Book ISBNs
978-1-4939-6683-7, 978-1-4939-6685-1
Authors

Aniruddha Chatterjee, Euan J. Rodger, Ian M. Morison, Michael R. Eccles, Peter A. Stockwell, Chatterjee, Aniruddha, Rodger, Euan J., Morison, Ian M., Eccles, Michael R., Stockwell, Peter A.

Editors

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

Abstract

DNA methylation is a stable epigenetic mechanism that has important roles in the normal function of a cell and therefore also in disease etiology. Accurate measurements of normal and altered DNA methylation patterns are important to understand its role in regulating gene expression and cell phenotype. Remarkable progress has been made over the last decade in developing methodologies to investigate DNA methylation. The availability of next-generation sequencing has enabled the profiling of methylation marks at an unprecedented scale. Several methods that were previously used to profile locus-specific methylation have now been upgraded to a genome-wide scale using high-throughput sequencing or array platforms. However, because there are so many techniques available, researchers are faced with the challenge of assessing the potential merits or limitations of each technique and selecting the appropriate method for their analysis. In this review we discuss the strengths and weaknesses of genome-wide and gene-specific analysis tools for interrogating DNA methylation. We particularly focus on the design and analysis strategies involved. This review will provide a guideline for selecting the appropriate methods and tools for large-scale and locus-specific DNA methylation analysis.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Researcher 10 13%
Unspecified 6 8%
Student > Bachelor 6 8%
Student > Doctoral Student 4 5%
Other 14 18%
Unknown 24 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 28%
Agricultural and Biological Sciences 7 9%
Unspecified 6 8%
Medicine and Dentistry 3 4%
Computer Science 2 3%
Other 7 9%
Unknown 31 40%
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 19 October 2017.
All research outputs
#18,487,595
of 22,908,162 outputs
Outputs from Methods in molecular biology
#7,927
of 13,132 outputs
Outputs of similar age
#310,554
of 420,477 outputs
Outputs of similar age from Methods in molecular biology
#692
of 1,074 outputs
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So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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