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Plant Gene Regulatory Networks

Overview of attention for book
Cover of 'Plant Gene Regulatory Networks'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 From Genes to Networks: Characterizing Gene-Regulatory Interactions in Plants
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    Chapter 2 Inducible Promoter Systems for Gene Perturbation Experiments in Arabidopsis
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    Chapter 3 Cell Type-Specific Gene Expression Profiling Using Fluorescence-Activated Nuclear Sorting
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    Chapter 4 Characterization of Cell-Type-Specific DNA Binding Sites of Plant Transcription Factors Using Chromatin Immunoprecipitation
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    Chapter 5 Yeast One- and Two-Hybrid High-Throughput Screenings Using Arrayed Libraries
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    Chapter 6 SELEX-Seq: A Method to Determine DNA Binding Specificities of Plant Transcription Factors
  8. Altmetric Badge
    Chapter 7 Analysis of a Plant Transcriptional Regulatory Network Using Transient Expression Systems
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    Chapter 8 Analysis of In Vivo Chromatin and Protein Interactions of Arabidopsis Transcript Elongation Factors
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    Chapter 9 Characterization of Mediator Complex and its Associated Proteins from Rice
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    Chapter 10 DNase I SIM: A Simplified In-Nucleus Method for DNase I Hypersensitive Site Sequencing
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    Chapter 11 In Situ Hi-C Library Preparation for Plants to Study Their Three-Dimensional Chromatin Interactions on a Genome-Wide Scale
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    Chapter 12 Multiplexed Transcriptional Activation or Repression in Plants Using CRISPR-dCas9-Based Systems
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    Chapter 13 Generation of dTALEs and Libraries of Synthetic TALE-Activated Promoters for Engineering of Gene Regulatory Networks in Plants
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    Chapter 14 Design of Knowledge Bases for Plant Gene Regulatory Networks
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    Chapter 15 AraNet: A Network Biology Server for Arabidopsis thaliana and Other Non-Model Plant Species
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    Chapter 16 Integration of Genome-Wide TF Binding and Gene Expression Data to Characterize Gene Regulatory Networks in Plant Development
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    Chapter 17 Predicting Transcription Factor Binding Sites and Their Cognate Transcription Factors Using Gene Expression Data
  19. Altmetric Badge
    Chapter 18 Computational Approaches to Study Gene Regulatory Networks
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    Chapter 19 Boolean Dynamic Modeling Approaches to Study Plant Gene Regulatory Networks: Integration, Validation, and Prediction
  21. Altmetric Badge
    Chapter 20 ODE-Based Modeling of Complex Regulatory Circuits
  22. Altmetric Badge
    Chapter 21 Inferring Gene Regulatory Networks in the Arabidopsis Root Using a Dynamic Bayesian Network Approach
Attention for Chapter 8: Analysis of In Vivo Chromatin and Protein Interactions of Arabidopsis Transcript Elongation Factors
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Chapter title
Analysis of In Vivo Chromatin and Protein Interactions of Arabidopsis Transcript Elongation Factors
Chapter number 8
Book title
Plant Gene Regulatory Networks
Published in
Methods in molecular biology, June 2017
DOI 10.1007/978-1-4939-7125-1_8
Pubmed ID
Book ISBNs
978-1-4939-7124-4, 978-1-4939-7125-1
Authors

Pfab, Alexander, Antosz, Wojciech, Holzinger, Philipp, Bruckmann, Astrid, Griesenbeck, Joachim, Grasser, Klaus D., Alexander Pfab, Wojciech Antosz, Philipp Holzinger, Astrid Bruckmann, Joachim Griesenbeck, Klaus D. Grasser

Editors

Kerstin Kaufmann, Bernd Mueller-Roeber

Abstract

A central step to elucidate the function of proteins commonly comprises the analysis of their molecular interactions in vivo. For nuclear regulatory proteins this involves determining protein-protein interactions as well as mapping of chromatin binding sites. Here, we present two protocols to identify protein-protein and chromatin interactions of transcript elongation factors (TEFs) in Arabidopsis. The first protocol (Subheading 3.1) describes protein affinity-purification coupled to mass spectrometry (AP-MS) that utilizes suspension cultured cells as experimental system. This approach provides an unbiased view of proteins interacting with epitope-tagged TEFs. The second protocol (Subheading 3.2) depicts details about a chromatin immunoprecipitation (ChIP) procedure to characterize genomic binding sites of TEFs. These methods should be valuable tools for the analysis of a broad variety of nuclear proteins.

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Doctoral Student 2 22%
Researcher 1 11%
Unknown 3 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 44%
Agricultural and Biological Sciences 2 22%
Unknown 3 33%
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 18 June 2017.
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#20,428,633
of 22,981,247 outputs
Outputs from Methods in molecular biology
#9,929
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#275,879
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Outputs of similar age from Methods in molecular biology
#217
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