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Plant Signal Transduction

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Cover of 'Plant Signal Transduction'

Table of Contents

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    Book Overview
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    Chapter 1 Suppressor Screens in Arabidopsis
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    Chapter 2 Quantitative Reverse Transcription-qPCR-Based Gene Expression Analysis in Plants.
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    Chapter 3 DNA-Binding Factor Target Identification by Chromatin Immunoprecipitation (ChIP) in Plants.
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    Chapter 4 Identification of Genes Responsible for Natural Variation in Volatile Content Using Next-Generation Sequencing Technology.
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    Chapter 5 Micro-Tom Tomato as an Alternative Plant Model System: Mutant Collection and Efficient Transformation
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    Chapter 6 Culture of the Tomato Micro-Tom Cultivar in Greenhouse
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    Chapter 7 Virus-Induced Gene Silencing as a Tool to Study Tomato Fruit Biochemistry
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    Chapter 8 A Simplified and Rapid Method for the Isolation and Transfection of Arabidopsis Leaf Mesophyll Protoplasts for Large-Scale Applications
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    Chapter 9 Preparation of Epidermal Peels and Guard Cell Protoplasts for Cellular, Electrophysiological, and -Omics Assays of Guard Cell Function
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    Chapter 10 Application of Variable Angle Total Internal Reflection Fluorescence Microscopy to Investigate Protein Dynamics in Intact Plant Cells
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    Chapter 11 Immunoprecipitation of Plasma Membrane Receptor-Like Kinases for Identification of Phosphorylation Sites and Associated Proteins
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    Chapter 12 Yeast Three-Hybrid System for the Detection of Protein-Protein Interactions.
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    Chapter 13 Cautions in Measuring In Vivo Interactions Using FRET and BiFC in Nicotiana benthamiana
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    Chapter 14 Analysis of Protein–Lipid Interactions Using Purified C2 Domains
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    Chapter 15 Assessing Kinase Activity in Plants with In-Gel Kinase Assays
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    Chapter 16 Analyses of Plant UDP-Dependent Glycosyltransferases to Identify Their Volatile Substrates Using Recombinant Proteins
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    Chapter 17 Competitive Index: Mixed Infection-Based Virulence Assays for Genetic Analysis in Pseudomonas syringae-Plant Interactions.
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    Chapter 18 Simplified Assays for Evaluation of Resistance to Alternaria brassicicola and Turnip Mosaic Virus
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    Chapter 19 Simultaneous Determination of Plant Hormones by GC-TOF-MS
Attention for Chapter 13: Cautions in Measuring In Vivo Interactions Using FRET and BiFC in Nicotiana benthamiana
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Chapter title
Cautions in Measuring In Vivo Interactions Using FRET and BiFC in Nicotiana benthamiana
Chapter number 13
Book title
Plant Signal Transduction
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3115-6_13
Pubmed ID
Book ISBNs
978-1-4939-3114-9, 978-1-4939-3115-6
Authors

Meral Tunc-Ozdemir, Yan Fu, Alan M. Jones, Tunc-Ozdemir, Meral, Fu, Yan, Jones, Alan M.

Abstract

Bimolecular fluorescence complementation (BiFC) and Förster Resonance Energy Transfer (FRET) are two widely used techniques to investigate protein-protein interactions and subcellular compartmentalization of proteins in complexes. As of January 2015, there were 805 publications retrieved by PUBMED with the query "bimolecular fluorescence complementation" and 11,327 publications retrieved with the query "fluorescence resonance energy transfer". Only a few of these publications describe studies of plant cells. Given the importance and popularity of these techniques, applying them correctly is crucial but unfortunately many studies lack proper controls and verifications. We describe (1) BiFC and FRET problems that are frequently encountered at different stages of the protocols, (2) how to use appropriate controls, and (3) how to apply plant transformation and imaging procedures. We provide step-by-step protocols for the beginner to obtain high quality, artifact-free BiFC and FRET data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
China 1 4%
Unknown 22 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 25%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Student > Ph. D. Student 2 8%
Student > Postgraduate 2 8%
Other 3 13%
Unknown 7 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 33%
Biochemistry, Genetics and Molecular Biology 4 17%
Engineering 2 8%
Chemistry 1 4%
Unspecified 1 4%
Other 0 0%
Unknown 8 33%