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Brassinosteroids

Overview of attention for book
Cover of 'Brassinosteroids'

Table of Contents

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    Book Overview
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    Chapter 1 Protocol for Extraction and Isolation of Brassinosteroids from Plant Tissues
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    Chapter 2 Synthetic Protocol for AFCS: A Biologically Active Fluorescent Castasterone Analog Conjugated to an Alexa Fluor 647 Dye
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    Chapter 3 Physiological Analysis of Brassinosteroid Responses and Sensitivity in Rice
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    Chapter 4 Light Regulation of Brassinosteroid Signaling Components: Checking Regulation of Protein Stability in Darkness
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    Chapter 5 Approaches to Study Light Effects on Brassinosteroid Sensitivity
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    Chapter 6 A Technical Framework for Studying the Signaling Nexus of Brassinosteroids and Immunity
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    Chapter 7 Identification of Brassinosteroid Target Genes by Chromatin Immunoprecipitation Followed by High-Throughput Sequencing (ChIP-seq) and RNA-Sequencing
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    Chapter 8 Quantitation of Cell Type-Specific Responses to Brassinosteroid by Deep Sequencing of Polysome-Associated Polyadenylated RNA
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    Chapter 9 Methods for Modeling Brassinosteroid-Mediated Signaling in Plant Development
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    Chapter 10 Quantitative Microscopic Analysis of Plasma Membrane Receptor Dynamics in Living Plant Cells
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    Chapter 11 Analysis of In Vitro DNA Interactions of Brassinosteroid-Controlled Transcription Factors Using Electrophoretic Mobility Shift Assay
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    Chapter 12 Identification of Brassinosteroid Signaling Complexes by Coimmunoprecipitation and Mass Spectrometry
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    Chapter 13 Simplified Enrichment of Plasma Membrane Proteins from Arabidopsis thaliana Seedlings Using Differential Centrifugation and Brij-58 Treatment
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    Chapter 14 Probing Activation and Deactivation of the BRASSINOSTEROID INSENSITIVE1 Receptor Kinase by Immunoprecipitation
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    Chapter 15 The Primary Root of Sorghum bicolor (L. Moench) as a Model System to Study Brassinosteroid Signaling in Crops
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    Chapter 16 Brassinosteroid Action in Plant Abiotic Stress Tolerance
Attention for Chapter 8: Quantitation of Cell Type-Specific Responses to Brassinosteroid by Deep Sequencing of Polysome-Associated Polyadenylated RNA
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About this Attention Score

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  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Chapter title
Quantitation of Cell Type-Specific Responses to Brassinosteroid by Deep Sequencing of Polysome-Associated Polyadenylated RNA
Chapter number 8
Book title
Brassinosteroids
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6813-8_8
Pubmed ID
Book ISBNs
978-1-4939-6811-4, 978-1-4939-6813-8
Authors

Kristina Vragović, Elizabeth Bartom, Sigal Savaldi-Goldstein

Editors

Eugenia Russinova, Ana I. Caño-Delgado

Abstract

Hormonal signaling pathways control almost every aspect of plant physiology and development. Extensive analysis of hormonal signaling output, i.e., gene expression, has therefore been the focus of many studies. These analyses have been primarily conducted on total extracts derived from a mixture of tissues and cell types, consequentially limiting delineation of precise models. In this chapter, methods for tissue-specific functional genomics are overviewed, in which hormonal responses are analyzed at the transcriptional and the translational levels. Deep sequencing of polysome-associated polyadenylated RNA is employed for cell type-specific quantitation of translatome responses to brassinosteroids. Polysomes are purified by the previously established Translating Ribosome Affinity Purification (TRAP) method, in which the expression of a tagged ribosomal protein is targeted to the tissue of interest, allowing tissue-specific immunopurification of the polysome complexes. The methods presented assess establishment and selection of suitable transgenic lines. A protocol for hormonal treatment of the Arabidopsis thaliana root as a case study, TRAP and linear amplification of the purified polysome-associated polyadenylated RNA are described. Finally, a step-by-step presentation is included of the analysis of the RNA deep-sequencing data and Rscript for plotting hierarchically clustered heatmap of the expressed genes.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Unknown 1 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 February 2017.
All research outputs
#4,303,579
of 8,993,272 outputs
Outputs from Methods in molecular biology
#1,683
of 6,898 outputs
Outputs of similar age
#146,483
of 309,226 outputs
Outputs of similar age from Methods in molecular biology
#348
of 1,327 outputs
Altmetric has tracked 8,993,272 research outputs across all sources so far. This one has received more attention than most of these and is in the 51st percentile.
So far Altmetric has tracked 6,898 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 309,226 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 1,327 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.