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G Protein-Coupled Receptor Signaling in Plants

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Cover of 'G Protein-Coupled Receptor Signaling in Plants'

Table of Contents

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    Book Overview
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    Chapter 1 Topology Assessment, G Protein-Coupled Receptor (GPCR) Prediction, and In Vivo Interaction Assays to Identify Plant Candidate GPCRs.
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    Chapter 2 Measurement of GTP-Binding and GTPase Activity of Heterotrimeric Gα Proteins
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    Chapter 3 Biochemical Analysis of the Interaction Between Phospholipase Dα1 and GTP-Binding Protein α-Subunit from Arabidopsis thaliana
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    Chapter 4 Analysis of Cell Division and Cell Elongation in the Hypocotyls of Arabidopsis Heterotrimeric G Protein Mutants
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    Chapter 5 Aequorin Luminescence-Based Functional Calcium Assay for Heterotrimeric G-Proteins in Arabidopsis
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    Chapter 6 Methods for Analysis of Disease Resistance and the Defense Response in Arabidopsis
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    Chapter 7 Fusarium oxysporum Infection Assays in Arabidopsis
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    Chapter 8 Analysis of Unfolded Protein Response in Arabidopsis
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    Chapter 9 Functional Analysis of Heterotrimeric G Proteins in Chloroplast Development in Arabidopsis
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    Chapter 10 G Protein Signaling in UV Protection: Methods for Understanding the Signals in Young Etiolated Seedlings
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    Chapter 11 Functional Analysis of Small Rab GTPases in Cytokinesis in Arabidopsis thaliana
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    Chapter 12 In Vivo Localization in Arabidopsis Protoplasts and Root Tissue
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    Chapter 13 Analysis of Protein Prenylation and S -Acylation Using Gas Chromatography–Coupled Mass Spectrometry
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    Chapter 14 In Vitro Myristoylation Assay of Arabidopsis Proteins
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    Chapter 15 Assaying Protein S-Acylation in Plants
  17. Altmetric Badge
    Chapter 16 In Vitro Prenylation Assay of Arabidopsis Proteins
Attention for Chapter 1: Topology Assessment, G Protein-Coupled Receptor (GPCR) Prediction, and In Vivo Interaction Assays to Identify Plant Candidate GPCRs.
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Chapter title
Topology Assessment, G Protein-Coupled Receptor (GPCR) Prediction, and In Vivo Interaction Assays to Identify Plant Candidate GPCRs.
Chapter number 1
Book title
G Protein-Coupled Receptor Signaling in Plants
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-532-3_1
Pubmed ID
Book ISBNs
978-1-62703-531-6, 978-1-62703-532-3
Authors

Timothy E. Gookin, Jannick D. Bendtsen

Abstract

Genomic sequencing has provided a vast resource for identifying interesting genes, but often an exact "gene-of-interest" is unknown and is only described as putatively present in a genome by an observed phenotype, or by the known presence of a conserved signaling cascade, such as that facilitated by the heterotrimeric G-protein. The low sequence similarity of G protein-coupled receptors (GPCRs) and the absence of a known ligand with an associated high-throughput screening system in plants hampers their identification by simple BLAST queries or brute force experimental assays. Combinatorial bioinformatic analysis is useful in that it can reduce a large pool of possible candidates to a number manageable by medium or even low-throughput methods. Here we describe a method for the bioinformatic identification of candidate GPCRs from whole proteomes and their subsequent in vivo analysis for G-protein coupling using a membrane based yeast two-hybrid variant (Gookin et al., Genome Biol 9:R120, 2008). Rather than present the bioinformatic process in a format requiring scripts or computer programming knowledge, we describe procedures here in a simple, biologist-friendly outline that only utilizes the basic syntax of regular expressions.

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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 %
Brazil 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Bachelor 2 22%
Other 1 11%
Student > Ph. D. Student 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 56%
Biochemistry, Genetics and Molecular Biology 2 22%
Unknown 2 22%
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 06 August 2013.
All research outputs
#18,342,133
of 22,715,151 outputs
Outputs from Methods in molecular biology
#7,853
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Outputs of similar age
#218,043
of 280,748 outputs
Outputs of similar age from Methods in molecular biology
#220
of 341 outputs
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