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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 7: SILAC-Based Quantitative Strategies for Accurate Histone Posttranslational Modification Profiling Across Multiple Biological Samples.
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  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Chapter title
SILAC-Based Quantitative Strategies for Accurate Histone Posttranslational Modification Profiling Across Multiple Biological Samples.
Chapter number 7
Book title
Histones
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6630-1_7
Pubmed ID
Book ISBNs
978-1-4939-6628-8, 978-1-4939-6630-1
Authors

Alessandro Cuomo, Monica Soldi, Tiziana Bonaldi Ph.D., Tiziana Bonaldi

Editors

Benoit Guillemette, Luc R. Gaudreau

Abstract

Histone posttranslational modifications (hPTMs) play a key role in regulating chromatin dynamics and fine-tuning DNA-based processes. Mass spectrometry (MS) has emerged as a versatile technology for the analysis of histones, contributing to the dissection of hPTMs, with special strength in the identification of novel marks and in the assessment of modification cross talks. Stable isotope labeling by amino acid in cell culture (SILAC), when adapted to histones, permits the accurate quantification of PTM changes among distinct functional states; however, its application has been mainly confined to actively dividing cell lines. A spike-in strategy based on SILAC can be used to overcome this limitation and profile hPTMs across multiple samples. We describe here the adaptation of SILAC to the analysis of histones, in both standard and spike-in setups. We also illustrate its coupling to an implemented "shotgun" workflow, by which heavy arginine-labeled histone peptides, produced upon Arg-C digestion, are qualitatively and quantitatively analyzed in an LC-MS/MS system that combines ultrahigh-pressure liquid chromatography (UHPLC) with new-generation Orbitrap high-resolution instrument.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Master 3 18%
Researcher 3 18%
Other 1 6%
Student > Bachelor 1 6%
Other 3 18%
Unknown 2 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 29%
Agricultural and Biological Sciences 3 18%
Chemistry 2 12%
Unspecified 1 6%
Nursing and Health Professions 1 6%
Other 3 18%
Unknown 2 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 November 2016.
All research outputs
#5,768,262
of 22,903,988 outputs
Outputs from Methods in molecular biology
#1,627
of 13,133 outputs
Outputs of similar age
#106,772
of 420,462 outputs
Outputs of similar age from Methods in molecular biology
#187
of 1,074 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,462 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.