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Chromatin Immunoprecipitation

Overview of attention for book
Cover of 'Chromatin Immunoprecipitation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 ChIP and ChIP-Related Techniques: Expanding the Fields of Application and Improving ChIP Performance
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    Chapter 2 Considerations on Experimental Design and Data Analysis of Chromatin Immunoprecipitation Experiments
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    Chapter 3 How to Combine ChIP with qPCR
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    Chapter 4 Analysis of Protein–DNA Interaction by Chromatin Immunoprecipitation and DNA Tiling Microarray (ChIP-on-chip)
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    Chapter 5 Chromatin Immunoprecipitation from Mouse Embryonic Tissue or Adherent Cells in Culture, Followed by Next-Generation Sequencing
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    Chapter 6 Chromatin RNA Immunoprecipitation (ChRIP)
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    Chapter 7 DNA Accessibility by MNase Digestions
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    Chapter 8 Characterization of the Nucleosome Landscape by Micrococcal Nuclease-Sequencing (MNase-seq)
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    Chapter 9 ChIP-re-ChIP: Co-occupancy Analysis by Sequential Chromatin Immunoprecipitation
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    Chapter 10 Sm-ChIPi: Single-Molecule Chromatin Immunoprecipitation Imaging
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    Chapter 11 Chromatin Immunoprecipitation of Skeletal Muscle Tissue
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    Chapter 12 Chromatin Immunoprecipitation Assay in the Hyperthermoacidophilic Crenarchaeon, Sulfolobus acidocaldarius
  14. Altmetric Badge
    Chapter 13 Using Intra-ChIP to Measure Protein–DNA Interactions in Intracellular Pathogens
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    Chapter 14 Native Chromatin Immunoprecipitation-Sequencing (ChIP-Seq) from Low Cell Numbers
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    Chapter 15 MOBE-ChIP: Probing Cell Type-Specific Binding Through Large-Scale Chromatin Immunoprecipitation
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    Chapter 16 Multiplexed ChIP-Seq Using Direct Nucleosome Barcoding: A Tool for High-Throughput Chromatin Analysis
  18. Altmetric Badge
    Chapter 17 Analysis of ChIP-seq Data in R/Bioconductor
  19. Altmetric Badge
    Chapter 18 Spike-In Normalization of ChIP Data Using DNA–DIG–Antibody Complex
Attention for Chapter 9: ChIP-re-ChIP: Co-occupancy Analysis by Sequential Chromatin Immunoprecipitation
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Chapter title
ChIP-re-ChIP: Co-occupancy Analysis by Sequential Chromatin Immunoprecipitation
Chapter number 9
Book title
Chromatin Immunoprecipitation
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7380-4_9
Pubmed ID
Book ISBNs
978-1-4939-7379-8, 978-1-4939-7380-4
Authors

Timothy V. Beischlag, Gratien G. Prefontaine, Oliver Hankinson

Abstract

Chromatin immunoprecipitation (ChIP) exploits the specific interactions between DNA and DNA-associated proteins. It can be used to examine a wide range of experimental parameters. A number of proteins bound at the same genomic location can identify a multi-protein chromatin complex where several proteins work together to regulate gene transcription or chromatin configuration. In many instances, this can be achieved using sequential ChIP; or simply, ChIP-re-ChIP. Whether it is for the examination of specific transcriptional or epigenetic regulators, or for the identification of cistromes, the ability to perform a sequential ChIP adds a higher level of power and definition to these analyses. In this chapter, we describe a simple and reliable method for the sequential ChIP assay.

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X Demographics

The data shown below were collected from the profiles of 3 X users 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Researcher 7 16%
Student > Master 6 14%
Student > Bachelor 3 7%
Student > Postgraduate 3 7%
Other 8 18%
Unknown 8 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 43%
Agricultural and Biological Sciences 7 16%
Psychology 2 5%
Immunology and Microbiology 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 11%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 December 2017.
All research outputs
#14,369,287
of 23,011,300 outputs
Outputs from Methods in molecular biology
#4,225
of 13,157 outputs
Outputs of similar age
#240,442
of 442,310 outputs
Outputs of similar age from Methods in molecular biology
#432
of 1,498 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% 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 442,310 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.