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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 7: Identification of Brassinosteroid Target Genes by Chromatin Immunoprecipitation Followed by High-Throughput Sequencing (ChIP-seq) and RNA-Sequencing
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Chapter title
Identification of Brassinosteroid Target Genes by Chromatin Immunoprecipitation Followed by High-Throughput Sequencing (ChIP-seq) and RNA-Sequencing
Chapter number 7
Book title
Brassinosteroids
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6813-8_7
Pubmed ID
Book ISBNs
978-1-4939-6811-4, 978-1-4939-6813-8
Authors

Trevor Nolan, Sanzhen Liu, Hongqing Guo, Lei Li, Patrick Schnable, Yanhai Yin

Editors

Eugenia Russinova, Ana I. Caño-Delgado

Abstract

Brassinosteroids (BRs) play important roles in many growth and developmental processes. BRs signal to regulate BR-INSENSITIVE1-ETHYL METHANESULFONATE-SUPPRESSOR1 (BES1) and BRASSINAZOLE-RESISTANT1 (BZR1) transcription factors (TFs), which, in turn, regulate several hundreds of transcription factors (termed BES1/BZR1-targeted TFs or BTFs) and thousands of genes to mediate various BR responses. Chromatin Immunoprecipitation followed by high-throughput sequencing (ChIP-seq) with BES1/BZR1 and BTFs is an important approach to identify BR target genes. In combination with RNA-sequencing experiments, these genomic methods have become powerful tools to detect BR target genes and reveal transcriptional networks underlying BR-regulated processes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 25%
Unspecified 1 8%
Professor > Associate Professor 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 5 42%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 42%
Biochemistry, Genetics and Molecular Biology 2 17%
Unspecified 1 8%
Unknown 4 33%

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 21 February 2017.
All research outputs
#6,929,085
of 9,093,370 outputs
Outputs from Methods in molecular biology
#3,585
of 7,058 outputs
Outputs of similar age
#222,436
of 311,586 outputs
Outputs of similar age from Methods in molecular biology
#718
of 1,370 outputs
Altmetric has tracked 9,093,370 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,058 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 311,586 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,370 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.