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Two-Hybrid Systems

Overview of attention for book
Cover of 'Two-Hybrid Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Protein Interactomics by Two-Hybrid Methods
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    Chapter 2 Making the Right Choice: Critical Parameters of the Y2H Systems
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    Chapter 3 Identification of Protein–Protein Interactions Using Pool-Array-Based Yeast Two-Hybrid Screening
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    Chapter 4 Detecting Interactions of Membrane Proteins: The Split-Ubiquitin System
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    Chapter 5 The Ras Recruitment System (RRS) for the Identification and Characterization of Protein–Protein Interactions
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    Chapter 6 A Bacterial Adenylate Cyclase-Based Two-Hybrid System Compatible with Gateway ® Cloning
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    Chapter 7 Analyses of Protein Interaction Networks Using Computational Tools
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    Chapter 8 Options and Considerations When Using a Yeast One-Hybrid System
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    Chapter 9 Screening Arrayed Libraries with DNA and Protein Baits to Identify Interacting Proteins
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    Chapter 10 Construction of Arabidopsis Transcription Factor ORFeome Collections and Identification of Protein–DNA Interactions by High-Throughput Yeast One-Hybrid Screens
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    Chapter 11 Transcription Factor-Centered Yeast One-Hybrid Assay
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    Chapter 12 The Yeast Three-Hybrid System for Protein Interactions
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    Chapter 13 The Yeast Three-Hybrid System for Screening RNA-Binding Proteins in Plants
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    Chapter 14 Using Yeast Hybrid System to Identify Proteins Binding to Small Molecules
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    Chapter 15 Shuttling of Entire Libraries from an Entry Vector to a Destination Vector of the Gateway System
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    Chapter 16 Bimolecular Fluorescence Complementation with Improved Gateway-Compatible Vectors to Visualize Protein–Protein Interactions in Plant Cells
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    Chapter 17 Bimolecular Fluorescence Complementation to Visualize Protein–Protein Interactions in Human Cells Based on Gateway Cloning Technology
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    Chapter 18 KISS: A Mammalian Two-Hybrid Method for In Situ Analysis of Protein–Protein Interactions
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    Chapter 19 Coimmunoprecipitation of Interacting Proteins in Plants
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    Chapter 20 Analysis of Protein–Protein Interaction by Co-IP in Human Cells
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    Chapter 21 Tandem Affinity Purification of Protein Complexes from Arabidopsis Cell Cultures
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    Chapter 22 Transient Transactivation Studies in Nicotiana benthamiana Leaves
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    Chapter 23 The Use of the Chromatin Immunoprecipitation Technique for In Vivo Identification of Plant Protein–DNA Interactions
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    Chapter 24 Chromatin Immunoprecipitation for Identification of Protein–DNA Interactions in Human Cells
Attention for Chapter 23: The Use of the Chromatin Immunoprecipitation Technique for In Vivo Identification of Plant Protein–DNA Interactions
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Chapter title
The Use of the Chromatin Immunoprecipitation Technique for In Vivo Identification of Plant Protein–DNA Interactions
Chapter number 23
Book title
Two-Hybrid Systems
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7871-7_23
Pubmed ID
Book ISBNs
978-1-4939-7870-0, 978-1-4939-7871-7
Authors

José A. Jarillo, Dorota N. Komar, Manuel Piñeiro, Jarillo, José A., Komar, Dorota N., Piñeiro, Manuel

Abstract

Two-hybrid systems allow for the identification of proteins that physically interact in the context of biological processes. In the cases where these proteins interact with DNA it is essential to define their binding properties with specific regions of the genome to shed light on the intricate gene regulatory networks that modulate the biological response of interest. The chromatin immunoprecipitation (ChIP) protocol described here provides a powerful means to identify the DNA-binding sites of transcription factors, proteins involved in chromatin remodeling processes, or histone marks that modulate gene expression in eukaryotes and specifically in plants like the model species Arabidopsis thaliana. This procedure involves the in vivo fixation of protein-DNA complexes, the physical fragmentation of chromatin with ultrasounds, the specific immunoprecipitation of protein-DNA complexes, and the use of quantitative PCR techniques for the relative quantification of the DNA sequences associated with the proteins of study. This valuable methodology has contributed significantly to a better understanding of the gene expression regulatory mechanisms underlying the control of a variety of biological processes in Arabidopsis.

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The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 20%
Student > Postgraduate 1 20%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Agricultural and Biological Sciences 1 20%
Unknown 2 40%
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 June 2018.
All research outputs
#17,976,833
of 23,085,832 outputs
Outputs from Methods in molecular biology
#7,313
of 13,205 outputs
Outputs of similar age
#310,660
of 442,605 outputs
Outputs of similar age from Methods in molecular biology
#869
of 1,499 outputs
Altmetric has tracked 23,085,832 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,205 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.