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Plant Hormones

Overview of attention for book
Cover of 'Plant Hormones'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Real-Time Analysis of the Apical Hook Development.
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    Chapter 2 Grafting with Arabidopsis thaliana.
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    Chapter 3 Tips and Tricks for Exogenous Application of Synthetic Post-translationally Modified Peptides to Plants
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    Chapter 4 Assaying Germination and Seedling Responses of Arabidopsis to Karrikins.
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    Chapter 5 Low-Cost Microprocessor-Controlled Rotating Stage for Medium-Throughput Time-Lapse Plant Phenotyping.
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    Chapter 6 Genome-Wide Association Mapping of Root Traits in the Context of Plant Hormone Research.
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    Chapter 7 High-Throughput Scoring of Seed Germination.
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    Chapter 8 Histochemical Staining of β-Glucuronidase and Its Spatial Quantification.
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    Chapter 9 Imaging TCSn::GFP, a Synthetic Cytokinin Reporter, in Arabidopsis thaliana.
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    Chapter 10 Highlighting Gibberellins Accumulation Sites in Arabidopsis thaliana Root Using Fluorescently Labeled Gibberellins.
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    Chapter 11 In Silico Methods for Cell Annotation, Quantification of Gene Expression, and Cell Geometry at Single-Cell Resolution Using 3DCellAtlas.
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    Chapter 12 Analyzing Cell Wall Elasticity After Hormone Treatment: An Example Using Tobacco BY-2 Cells and Auxin.
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    Chapter 13 FRET-FLIM for Visualizing and Quantifying Protein Interactions in Live Plant Cells
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    Chapter 14 In Vivo Identification of Plant Protein Complexes Using IP-MS/MS
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    Chapter 15 Assaying Auxin Receptor Activity Using SPR Assays with F-Box Proteins and Aux/IAA Degrons.
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    Chapter 16 Studying Transcription Factor Binding to Specific Genomic Loci by Chromatin Immunoprecipitation (ChIP).
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    Chapter 17 Hormone Receptor Glycosylation.
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    Chapter 18 Highly Sensitive Salicylic Acid Quantification in Milligram Amounts of Plant Tissue.
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    Chapter 19 High-Resolution Cell-Type Specific Analysis of Cytokinins in Sorted Root Cell Populations of Arabidopsis thaliana.
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    Chapter 20 Hormone Profiling in Plant Tissues.
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    Chapter 21 Use of Xenopus laevis Oocytes to Study Auxin Transport.
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    Chapter 22 Characterizing Auxin Response Circuits in Saccharomyces cerevisiae by Flow Cytometry.
Attention for Chapter 14: In Vivo Identification of Plant Protein Complexes Using IP-MS/MS
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Chapter title
In Vivo Identification of Plant Protein Complexes Using IP-MS/MS
Chapter number 14
Book title
Plant Hormones
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6469-7_14
Pubmed ID
27864765
Book ISBNs
978-1-4939-6467-3, 978-1-4939-6469-7
Authors

Wendrich, Jos R., Boeren, Sjef, Möller, Barbara K., Weijers, Dolf, De Rybel, Bert, Jos R. Wendrich, Sjef Boeren, Barbara K. Möller, Dolf Weijers, Bert De Rybel, Rybel, Bert

Editors

Jürgen Kleine-Vehn, Michael Sauer

Abstract

Individual proteins often function as part of a protein complex. The identification of interacting proteins is therefore vital to understand the biological role and function of the studied protein. Here we describe a method for the in vivo identification of nuclear, cytoplasmic, and membrane-associated protein complexes from plant tissues using a strategy of immunoprecipitation followed by tandem mass spectrometry. By performing quantitative mass spectrometry measurements on biological triplicates, relative abundance of proteins in GFP-tagged complexes compared to background controls can be statistically evaluated to identify high-confidence interactors. We detail the entire workflow of this approach.

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

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 29%
Researcher 11 17%
Student > Master 4 6%
Student > Bachelor 3 5%
Student > Postgraduate 2 3%
Other 4 6%
Unknown 22 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 32%
Biochemistry, Genetics and Molecular Biology 20 31%
Arts and Humanities 1 2%
Linguistics 1 2%
Immunology and Microbiology 1 2%
Other 2 3%
Unknown 19 29%
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 October 2017.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from Methods in molecular biology
#9,241
of 14,425 outputs
Outputs of similar age
#328,526
of 428,160 outputs
Outputs of similar age from Methods in molecular biology
#715
of 1,093 outputs
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So far Altmetric has tracked 14,425 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,093 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.

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