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Histones

Overview of attention for book
Cover of 'Histones'

Table of Contents

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    Book Overview
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    Chapter 1 In Vitro Assembly of Nucleosomes for Binding/Remodeling Assays.
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    Chapter 2 An Assay for Measuring Histone Variant Exchange within Nucleosomes In Vitro.
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    Chapter 3 Purification of Yeast Native Reagents for the Analysis of Chromatin Function-I: Nucleosomes for Reconstitution and Manipulation of Histone Marks.
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    Chapter 4 Purification of Yeast Native Reagents for the Analysis of Chromatin Function-II: Multiprotein Complexes and Biochemical Assays.
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    Chapter 5 Histone Purification from Saccharomyces cerevisiae.
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    Chapter 6 Analytical Ultracentrifuge Analysis of Nucleosomes Assembled from Recombinant, Acid-Extracted, HPLC-Purified Histones.
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    Chapter 7 SILAC-Based Quantitative Strategies for Accurate Histone Posttranslational Modification Profiling Across Multiple Biological Samples.
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    Chapter 8 Characterization of Individual Histone Posttranslational Modifications and Their Combinatorial Patterns by Mass Spectrometry-Based Proteomics Strategies.
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    Chapter 9 Production and Purification of Antibodies Against Histone Modifications.
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    Chapter 10 Immunofluorescence of Histone Proteins.
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    Chapter 11 Acid-Urea Gel Electrophoresis and Western Blotting of Histones.
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    Chapter 12 Chromatin Immunoprecipitation of Histone Modifications in Fission Yeast.
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    Chapter 13 A Spiking Strategy for ChIP-chip Data Normalization in S. cerevisiae.
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    Chapter 14 High-Resolution Genome-Wide Mapping of Nucleosome Positioning and Occupancy Level Using Paired-End Sequencing Technology.
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    Chapter 15 Physarum polycephalum for Studying the Function of Histone Modifications In Vivo.
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    Chapter 16 A Method for Large-Scale Screening of Random Sequence Libraries to Determine the Function of Unstructured Regions from Essential Proteins.
Attention for Chapter 13: A Spiking Strategy for ChIP-chip Data Normalization in S. cerevisiae.
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Chapter title
A Spiking Strategy for ChIP-chip Data Normalization in S. cerevisiae.
Chapter number 13
Book title
Histones
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6630-1_13
Pubmed ID
Book ISBNs
978-1-4939-6628-8, 978-1-4939-6630-1
Authors

Célia Jeronimo, François Robert

Editors

Benoit Guillemette, Luc R. Gaudreau

Abstract

Chromatin immunoprecipitation coupled to DNA microarrays (ChIP-chip) is widely used in the chromatin field, notably to map the position of histone variants or histone modifications along the genome. Often, the position and the occupancy of these epigenetic marks are to be compared between different experiments. It is now increasingly recognized that such cross-sample comparison is better done using externally added exogenous controls for normalization but no such method has been described for ChIP-chip. Here we describe a spiking normalization strategy that makes use of phiX174 phage DNA as a spiked control for normalization of ChIP-chip signals across different experiments.

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Professor 1 17%
Student > Ph. D. Student 1 17%
Student > Doctoral Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 83%
Agricultural and Biological Sciences 1 17%
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 23 January 2018.
All research outputs
#15,395,259
of 22,903,988 outputs
Outputs from Methods in molecular biology
#5,356
of 13,133 outputs
Outputs of similar age
#256,344
of 420,462 outputs
Outputs of similar age from Methods in molecular biology
#465
of 1,074 outputs
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So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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