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CpG Islands

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Cover of 'CpG Islands'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 CpG Islands: A Historical Perspective
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    Chapter 2 Biochemical Identification of Nonmethylated DNA by BioCAP-Seq
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    Chapter 3 Prediction of CpG Islands as an Intrinsic Clustering Property Found in Many Eukaryotic DNA Sequences and Its Relation to DNA Methylation
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    Chapter 4 CpG Islands in Cancer: Heads, Tails, and Sides
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    Chapter 5 Infinium DNA Methylation Microarrays on Formalin-Fixed, Paraffin-Embedded Samples
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    Chapter 6 The Use of Methylation-Sensitive Multiplex Ligation-Dependent Probe Amplification for Quantification of Imprinted Methylation
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    Chapter 7 The Pancancer DNA Methylation Trackhub: A Window to The Cancer Genome Atlas Epigenomics Data
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    Chapter 8 Methylation-Sensitive Amplification Length Polymorphism (MS-AFLP) Microarrays for Epigenetic Analysis of Human Genomes
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    Chapter 9 Genome-Wide Profiling of DNA Methyltransferases in Mammalian Cells
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    Chapter 10 Experimental Design and Bioinformatic Analysis of DNA Methylation Data
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    Chapter 11 Assay for Transposase Accessible Chromatin (ATAC-Seq) to Chart the Open Chromatin Landscape of Human Pancreatic Islets
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    Chapter 12 Defining Regulatory Elements in the Human Genome Using Nucleosome Occupancy and Methylome Sequencing (NOMe-Seq)
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    Chapter 13 Genome-Wide Mapping of Protein–DNA Interactions on Nascent Chromatin
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    Chapter 14 Analysis of Chromatin Interactions Mediated by Specific Architectural Proteins in Drosophila Cells
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    Chapter 15 High-Throughput Single-Cell RNA Sequencing and Data Analysis
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    Chapter 16 Functional Insulator Scanning of CpG Islands to Identify Regulatory Regions of Promoters Using CRISPR
  18. Altmetric Badge
    Chapter 17 An Application-Directed, Versatile DNA FISH Platform for Research and Diagnostics
Attention for Chapter 17: An Application-Directed, Versatile DNA FISH Platform for Research and Diagnostics
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Chapter title
An Application-Directed, Versatile DNA FISH Platform for Research and Diagnostics
Chapter number 17
Book title
CpG Islands
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7768-0_17
Pubmed ID
Book ISBNs
978-1-4939-7767-3, 978-1-4939-7768-0
Authors

Eleni Gelali, Joaquin Custodio, Gabriele Girelli, Erik Wernersson, Nicola Crosetto, Magda Bienko

Abstract

DNA fluorescence in situ hybridization (DNA FISH) has emerged as a powerful microscopy technique that allows a unique view into the composition and arrangement of the genetic material in its natural context-be it the cell nucleus in interphase, or chromosomes in metaphase spreads. The core principle of DNA FISH is the ability of fluorescently labeled DNA probes (either double- or single-stranded DNA fragments) to bind to their complementary sequences in situ in cells or tissues, revealing the location of their target as fluorescence signals detectable with a fluorescence microscope. Numerous variants and improvements of the original DNA FISH method as well as a vast repertoire of applications have been described since its inception more than 4 decades ago. In recent years, the development of many new fluorescent dyes together with drastic advancements in methods for probe generation (Boyle et al., Chromosome Res 19:901-909, 2011; Beliveau et al., Proc Natl Acad Sci U S A 109:21301-21306, 2012; Bienko et al., Nat Methods 10:122-124, 2012), as well as improvements in the resolution of microscopy technologies, have boosted the number of DNA FISH applications, particularly in the field of genome architecture (Markaki et al., Bioessays 34:412-426, 2012; Beliveau et al., Nat Commun 6:7147, 2015). However, despite these remarkable steps forward, choosing which type of DNA FISH sample preparation protocol, probe design, hybridization procedure, and detection method is best suited for a given application remains still challenging for many research labs, preventing a more widespread use of this powerful technology. Here, we present a comprehensive platform to help researchers choose which DNA FISH protocol is most suitable for their particular application. In addition, we describe computational pipelines that can be implemented for efficient DNA FISH probe design and for signal quantification. Our goal is to make DNA FISH a versatile and streamlined technique that can be easily implemented by both research and diagnostic labs.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 %
Other 3 20%
Student > Ph. D. Student 3 20%
Professor > Associate Professor 2 13%
Student > Master 1 7%
Student > Doctoral Student 1 7%
Other 2 13%
Unknown 3 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 47%
Agricultural and Biological Sciences 2 13%
Environmental Science 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Neuroscience 1 7%
Other 0 0%
Unknown 3 20%

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 15 May 2019.
All research outputs
#13,283,823
of 15,037,508 outputs
Outputs from Methods in molecular biology
#6,242
of 8,868 outputs
Outputs of similar age
#240,547
of 277,401 outputs
Outputs of similar age from Methods in molecular biology
#6
of 7 outputs
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