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Two-Hybrid Systems

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Cover of 'Two-Hybrid Systems'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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
  25. Altmetric Badge
    Chapter 24 Chromatin Immunoprecipitation for Identification of Protein–DNA Interactions in Human Cells
Attention for Chapter 11: Transcription Factor-Centered Yeast One-Hybrid Assay
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Chapter title
Transcription Factor-Centered Yeast One-Hybrid Assay
Chapter number 11
Book title
Two-Hybrid Systems
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7871-7_11
Pubmed ID
Book ISBNs
978-1-4939-7870-0, 978-1-4939-7871-7
Authors

Xiaoyu Ji, Liuqiang Wang, Dandan Zang, Yucheng Wang, Ji, Xiaoyu, Wang, Liuqiang, Zang, Dandan, Wang, Yucheng

Abstract

The interaction between a protein and DNA is involved in almost all cellular functions, and is vitally important in transcriptional regulation. There are two complementary approaches used to detect the interactions between a transcription factor (TF) and DNA, i.e., the TF-centered or protein-DNA approach, and the gene-centered or DNA-protein approach. The yeast one-hybrid (Y1H) is a powerful and widely used gene-centered system to identify DNA-protein interactions. However, a powerful and simple TF-centered method to study protein-DNA interactions like Y1H is lacking. Here, we provide a TF-centered method based on the Y1H system to identify the motifs recognized by a defined TF, termed TF-centered Y1H. In this system, a random short DNA sequence insertion library is generated as the prey DNA sequences to interact with a defined TF as the bait. TF-centered Y1H could identify quickly the motifs bound by a defined TF, representing a reliable and efficient approach with the advantages of Y1H. Therefore, this TF-centered Y1H may have a wide application in protein-DNA interaction studies.

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X Demographics

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 1 13%
Professor 1 13%
Student > Master 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 38%
Agricultural and Biological Sciences 3 38%
Unknown 2 25%
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.
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#19,017,658
of 23,577,761 outputs
Outputs from Methods in molecular biology
#8,198
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Outputs of similar age
#333,879
of 445,160 outputs
Outputs of similar age from Methods in molecular biology
#941
of 1,482 outputs
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