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Plant Genomics

Overview of attention for book
Cover of 'Plant Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 CRISPR/Cas-Mediated In Planta Gene Targeting
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    Chapter 2 User Guide for the LORE1 Insertion Mutant Resource
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    Chapter 3 Enabling Reverse Genetics in Medicago truncatula Using High-Throughput Sequencing for Tnt1 Flanking Sequence Recovery
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    Chapter 4 The Generation of Doubled Haploid Lines for QTL Mapping
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    Chapter 5 Assessing Distribution and Variation of Genome-Wide DNA Methylation Using Short-Read Sequencing
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    Chapter 6 Circular Chromosome Conformation Capture in Plants
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    Chapter 7 Genome-Wide Profiling of Histone Modifications and Histone Variants in Arabidopsis thaliana and Marchantia polymorpha
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    Chapter 8 Tissue-Specific Transcriptome Profiling in Arabidopsis Roots
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    Chapter 9 Sample Preparation Protocols for Protein Abundance, Acetylome, and Phosphoproteome Profiling of Plant Tissues
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    Chapter 10 Automated High-Throughput Root Phenotyping of Arabidopsis thaliana Under Nutrient Deficiency Conditions
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    Chapter 11 Large-Scale Phenotyping of Root Traits in the Model Legume Lotus japonicus
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    Chapter 12 Long-Term Confocal Imaging of Arabidopsis thaliana Roots for Simultaneous Quantification of Root Growth and Fluorescent Signals
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    Chapter 13 Identification of Protein–DNA Interactions Using Enhanced Yeast One-Hybrid Assays and a Semiautomated Approach
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    Chapter 14 Mapping Protein-Protein Interaction Using High-Throughput Yeast 2-Hybrid
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    Chapter 15 Mapping Protein–Protein Interactions Using Affinity Purification and Mass Spectrometry
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    Chapter 16 Measuring Protein Movement, Oligomerization State, and Protein-Protein Interaction in Arabidopsis Roots Using Scanning Fluorescence Correlation Spe..
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    Chapter 17 Studying Protein–Protein Interactions In Planta Using Advanced Fluorescence Microscopy
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    Chapter 18 Chemiluminescence-Based Detection of Peptide Activity and Peptide-Receptor Binding in Plants
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    Chapter 19 Application of Chemical Genomics to Plant–Bacteria Communication: A High-Throughput System to Identify Novel Molecules Modulating the Induction of Bacterial Virulence Genes by Plant Signals
Attention for Chapter 13: Identification of Protein–DNA Interactions Using Enhanced Yeast One-Hybrid Assays and a Semiautomated Approach
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Chapter title
Identification of Protein–DNA Interactions Using Enhanced Yeast One-Hybrid Assays and a Semiautomated Approach
Chapter number 13
Book title
Plant Genomics
Published in
Methods in molecular biology, April 2017
DOI 10.1007/978-1-4939-7003-2_13
Pubmed ID
Book ISBNs
978-1-4939-7001-8, 978-1-4939-7003-2
Authors

Gaudinier, Allison, Tang, Michelle, Bågman, Anne-Maarit, Brady, Siobhan M., Allison Gaudinier, Michelle Tang, Anne-Maarit Bågman, Siobhan M. Brady

Editors

Wolfgang Busch

Abstract

Yeast one-hybrid assays are an in vitro gene-centered approach to map transcription factor-DNA interactions. Here we describe this method and adaptations to screen for interactions between plant transcriptional regulators and their targets. Of particular note, the use of yeast one-hybrid assays fills in an important gap in available methodologies. When one is interested in a specific biological process of interest, the yeast one-hybrid assay is the only method that allows researchers to identify upstream regulators of the biological process of interest. This technique can be also used to further validate physical protein-DNA interactions or as a hypothesis-generating tool. In this method, promoters or DNA regions of interest are cloned and transformed into yeast and tested for interaction against a collection of transcription factors (TFs). Yeast one-hybrid screens are adaptable to the question the researcher is asking and the tools and components available. In this chapter we will describe large-scale and high-throughput Y1H screening; however, this can easily be scaled down for smaller studies.

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 40%
Researcher 6 24%
Lecturer > Senior Lecturer 2 8%
Professor 1 4%
Student > Bachelor 1 4%
Other 2 8%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 56%
Biochemistry, Genetics and Molecular Biology 6 24%
Computer Science 1 4%
Unknown 4 16%

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 26 April 2017.
All research outputs
#11,931,553
of 14,989,074 outputs
Outputs from Methods in molecular biology
#4,526
of 8,834 outputs
Outputs of similar age
#193,350
of 266,087 outputs
Outputs of similar age from Methods in molecular biology
#13
of 36 outputs
Altmetric has tracked 14,989,074 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,834 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 29th percentile – i.e., 29% 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 266,087 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.