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CpG Islands

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Cover of 'CpG Islands'

Table of Contents

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    Book Overview
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    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 11: Assay for Transposase Accessible Chromatin (ATAC-Seq) to Chart the Open Chromatin Landscape of Human Pancreatic Islets
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Chapter title
Assay for Transposase Accessible Chromatin (ATAC-Seq) to Chart the Open Chromatin Landscape of Human Pancreatic Islets
Chapter number 11
Book title
CpG Islands
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7768-0_11
Pubmed ID
Book ISBNs
978-1-4939-7767-3, 978-1-4939-7768-0
Authors

Helena Raurell-Vila, Mireia Ramos-Rodríguez, Lorenzo Pasquali, Raurell-Vila, Helena, Ramos-Rodríguez, Mireia, Pasquali, Lorenzo

Abstract

The regulatory mechanisms that ensure an accurate control of gene transcription are central to cellular function, development and disease. Such mechanisms rely largely on noncoding regulatory sequences that allow the establishment and maintenance of cell identity and tissue-specific cellular functions.The study of chromatin structure and nucleosome positioning allowed revealing transcription factor accessible genomic sites with regulatory potential, facilitating the comprehension of tissue-specific cis-regulatory networks. Recently a new technique coupled with high-throughput sequencing named Assay for Transposase Accessible Chromatin (ATAC-seq) emerged as an efficient method to chart open chromatin genome wide. The application of such technique to different cell types allowed unmasking tissue-specific regulatory elements and characterizing cis-regulatory networks. Herein we describe the implementation of the ATAC-seq method to human pancreatic islets, a tissue playing a central role in the control of glucose metabolism.

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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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 29%
Student > Ph. D. Student 6 25%
Student > Bachelor 3 13%
Student > Doctoral Student 2 8%
Professor 1 4%
Other 2 8%
Unknown 3 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 50%
Agricultural and Biological Sciences 5 21%
Medicine and Dentistry 2 8%
Neuroscience 1 4%
Engineering 1 4%
Other 0 0%
Unknown 3 13%
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 02 April 2018.
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#21,075,298
of 25,837,817 outputs
Outputs from Methods in molecular biology
#9,241
of 14,425 outputs
Outputs of similar age
#349,824
of 455,808 outputs
Outputs of similar age from Methods in molecular biology
#949
of 1,488 outputs
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