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Plant Chemical Genomics

Overview of attention for book
Cover of 'Plant Chemical Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Fully Automated Compound Screening in Arabidopsis thaliana Seedlings
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    Chapter 2 Time-profiling fluorescent reporters in the Arabidopsis root.
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    Chapter 3 Screening for Bioactive Small Molecules by In Vivo Monitoring of Luciferase-Based Reporter Gene Expression in Arabidopsis thaliana
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    Chapter 4 Application of Yeast-Two Hybrid Assay to Chemical Genomic Screens: A High-Throughput System to Identify Novel Molecules Modulating Plant Hormone Receptor Complexes
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    Chapter 5 High-Throughput Screening of Small-Molecule Libraries for Inducers of Plant Defense Responses
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    Chapter 6 Using a Reverse Genetics Approach to Investigate Small-Molecule Activity
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    Chapter 7 Investigating the Phytohormone Ethylene Response Pathway by Chemical Genetics
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    Chapter 8 Screening for Inhibitors of Chloroplast Galactolipid Synthesis Acting in Membrano and in Planta
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    Chapter 9 Forward Chemical Screening of Small RNA Pathways
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    Chapter 10 Identification and use of fluorescent dyes for plant cell wall imaging using high-throughput screening.
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    Chapter 11 High-Throughput Identification of Chemical Endomembrane Cycling Disruptors Utilizing Tobacco Pollen
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    Chapter 12 Plant chemical genomics: gravity sensing and response.
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    Chapter 13 Screening Chemical Libraries for Compounds That Affect Protein Sorting to the Yeast Vacuole
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    Chapter 14 The Use of Multidrug Approach to Uncover New Players of the Endomembrane System Trafficking Machinery
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    Chapter 15 Cheminformatic Analysis of High-Throughput Compound Screens
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    Chapter 16 Endomembrane Dissection Using Chemically Induced Bioactive Clusters
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    Chapter 17 Statistical Molecular Design: A Tool to Follow Up Hits from Small-Molecule Screening
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    Chapter 18 Early Stage Hit Triage for Plant Chemical Genetic Screens and Target Site Identification
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    Chapter 19 Screening for Gene Function Using the FOX ( F ull-Length cDNA O vere X pressor Gene) Hunting System
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    Chapter 20 Quantification of Stable Isotope Label in Metabolites via Mass Spectrometry
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    Chapter 21 1H NMR-Based Metabolomics Methods for Chemical Genomics Experiments
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    Chapter 22 Determination of Auxin Transport Parameters on the Cellular Level
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    Chapter 23 Analyzing the In Vivo Status of Exogenously Applied Auxins: A HPLC-Based Method to Characterize the Intracellularly Localized Auxin Transporters
Attention for Chapter 12: Plant chemical genomics: gravity sensing and response.
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Chapter title
Plant chemical genomics: gravity sensing and response.
Chapter number 12
Book title
Plant Chemical Genomics
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-592-7_12
Pubmed ID
Book ISBNs
978-1-62703-591-0, 978-1-62703-592-7
Authors

Marci Surpin, Surpin, Marci

Abstract

The gene families that encode the vesicle trafficking machinery in plants are highly expanded compared to those from protists and animals. As such, classical genetic screens for mutants with lesions in these genes are fraught with issues of redundancy and lethality. A chemical genomics approach can, in theory, circumvent these issues because inhibitory or stimulatory molecules may be applied at any point in development at sublethal concentrations. This chapter describes the protocols for a chemical genomics screen designed to identify components of the plant cell vesicle trafficking machinery. A two-tiered screen was designed where the primary screen assayed for chemicals that modified the gravitropic response, a process that in plant cells is intimately tied to vesicle trafficking; the secondary screen employed fluorescent marker lines that were treated with gravitropic inhibitors or inducers to assay for changes in endomembrane system morphology. We thus identified four compounds by which we can further explore the relationship between gravitropic signal transduction and vesicle trafficking.

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%
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 07 December 2013.
All research outputs
#18,355,685
of 22,733,113 outputs
Outputs from Methods in molecular biology
#7,854
of 13,086 outputs
Outputs of similar age
#229,313
of 305,181 outputs
Outputs of similar age from Methods in molecular biology
#293
of 594 outputs
Altmetric has tracked 22,733,113 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 13,086 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 594 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.