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Plant MAP Kinases

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Cover of 'Plant MAP Kinases'

Table of Contents

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    Book Overview
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    Chapter 1 Transient expression in Arabidopsis leaf mesophyll protoplast system for cell-based functional analysis of MAPK cascades signaling.
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    Chapter 2 Quantification of stress-induced mitogen-activated protein kinase expressional dynamic using reverse transcription quantitative real-time PCR.
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    Chapter 3 Analysis of MAPK Activities Using MAPK-Specific Antibodies.
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    Chapter 4 Detection of protein phosphorylation and charge isoforms using vertical one-dimensional isoelectric focusing gels.
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    Chapter 5 Affinity-Based SDS PAGE Identification of Phosphorylated Arabidopsis MAPKs and Substrates by Acrylamide Pendant Phos-Tag™.
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    Chapter 6 Identification of Constitutively Active AtMPK6 Mutants Using a Functional Screen in Saccharomyces cerevisiae.
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    Chapter 7 Virus-induced gene silencing in plant MAPK research.
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    Chapter 8 RNA interference of plant MAPK cascades for functional studies.
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    Chapter 9 Immunofluorescent Localization of MAPKs and Colocalization with Microtubules in Arabidopsis Seedling Whole-Mount Probes.
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    Chapter 10 Immunofluorescent Localization of MAPKs in Steedman's Wax Sections.
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    Chapter 11 Fluorescent Protein Tagging of Arabidopsis MAPKs for In Vivo Localization Studies.
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    Chapter 12 Bimolecular Fluorescent Complementation (BiFC) by MAP Kinases and MAPK Phosphatases.
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    Chapter 13 Determination of Phosphorylation Sites in Microtubule Associated Protein MAP65-1.
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    Chapter 14 In Vivo Phosphorylation of WRKY Transcription Factor by MAPK.
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    Chapter 15 Rapid mutagenesis-based analysis of phosphorylation sites in mitogen-activated protein kinase substrates.
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    Chapter 16 Yeast Two-Hybrid System for Dissecting the Rice MAPK Interactome.
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    Chapter 17 Experimental and analytical approaches to characterize plant kinases using protein microarrays.
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    Chapter 18 Protein Complexes Characterization in Arabidopsis thaliana by Tandem Affinity Purification Coupled to Mass Spectrometry Analysis.
  20. Altmetric Badge
    Chapter 19 Quantitative Phosphoproteomic Analysis Using iTRAQ Method.
Attention for Chapter 19: Quantitative Phosphoproteomic Analysis Using iTRAQ Method.
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Chapter title
Quantitative Phosphoproteomic Analysis Using iTRAQ Method.
Chapter number 19
Book title
Plant MAP Kinases
Published in
Methods in molecular biology, May 2014
DOI 10.1007/978-1-4939-0922-3_19
Pubmed ID
Book ISBNs
978-1-4939-0921-6, 978-1-4939-0922-3
Authors

Asano T, Nishiuchi T, Tomoya Asano, Takumi Nishiuchi

Editors

George Komis, Jozef Šamaj

Abstract

The MAPK (mitogen-activated kinase) cascade plays important roles in plant perception of and reaction to developmental and environmental cues. Phosphoproteomics are useful to identify target proteins regulated by MAPK-dependent signaling pathway. Here, we introduce the quantitative phosphoproteomic analysis using a chemical labeling method. The isobaric tag for relative and absolute quantitation (iTRAQ) method is a MS-based technique to quantify protein expression among up to eight different samples in one experiment. In this technique, peptides were labeled by some stable isotope-coded covalent tags. We perform quantitative phosphoproteomics comparing Arabidopsis wild type and a stress-responsive mapkk mutant after phytotoxin treatment. To comprehensively identify the downstream phosphoproteins of MAPKK, total proteins were extracted from phytotoxin-treated wild-type and mapkk mutant plants. The phosphoproteins were purified by Pro-Q(®) Diamond Phosphoprotein Enrichment Kit and were digested with trypsin. Resulting peptides were labeled with iTRAQ reagents and were quantified and identified by MALDI TOF/TOF analyzer. We identified many phosphoproteins that were decreased in the mapkk mutant compared with wild type.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Professor > Associate Professor 1 14%
Researcher 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Computer Science 2 29%
Agricultural and Biological Sciences 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%
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 23 January 2015.
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Outputs of similar age from Methods in molecular biology
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