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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 Multi-Parametric Screening in Arabidopsis thaliana Seedlings
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    Chapter 2 Novel Micro-Phenotyping Approach to Chemical Genetic Screening for Increased Plant Tolerance to Abiotic Stress
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    Chapter 3 Method for Ultrarapid High-Content Screening for Biologically Active Chemicals Using Plant Pollen
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    Chapter 4 A High-Throughput Chemical Screening Method for Inhibitors and Potentiators of Hypersensitive Cell Death Using Suspension Cell Culture of Arabidopsis thaliana
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    Chapter 5 High-Throughput Screening of Chemical Compound Libraries for Modulators of Salicylic Acid Signaling by In Situ Monitoring of Glucuronidase-Based Reporter Gene Expression
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    Chapter 6 Identification of Chemical Inducers of the Phosphate-Starvation Signaling Pathway in A. thaliana Using Chemical Genetics
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    Chapter 7 Phenotype-Based Screening of Small Molecules to Modify Plant Cell Walls Using BY-2 Cells
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    Chapter 8 Small-Molecule Screening to Increase Agrobacterium -Mediated Transformation Efficiency in Legumes
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    Chapter 9 High-Throughput In Vitro Screening for Inhibitors of Cereal α-Glucosidase
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    Chapter 10 Chemical Screening for Strigolactone Receptor Antagonists Using Arabidopsis thaliana
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    Chapter 11 Chemical Control of ABA Receptors to Enable Plant Protection Against Water Stress
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    Chapter 12 Modes of Action Study of Seed Germination Inhibitor Germostatin by Forward Genetics Screening
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    Chapter 13 Enantiodifferential Approach for the Target Protein Detection of the Jasmonate Glucoside That Controls the Leaf Closure of Samanea saman
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    Chapter 14 Using the QCM Biosensor-Based T7 Phage Display Combined with Bioinformatics Analysis for Target Identification of Bioactive Small Molecule
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    Chapter 15 Genomic Identification and Analysis of Specialized Metabolite Biosynthetic Gene Clusters in Plants Using PlantiSMASH
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    Chapter 16 Chemical Genomics Translatability from Unicellular to Multicellular Models
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    Chapter 17 Chemical Screening for Flagella-Associated Phenotypes in Chlamydomonas reinhardtii
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    Chapter 18 FnCpf1-Mediated Targeted Mutagenesis in Plants
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    Chapter 19 Erratum to: Chemical Screening for Flagella-Associated Phenotypes in Chlamydomonas reinhardtii
Attention for Chapter 14: Using the QCM Biosensor-Based T7 Phage Display Combined with Bioinformatics Analysis for Target Identification of Bioactive Small Molecule
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Chapter title
Using the QCM Biosensor-Based T7 Phage Display Combined with Bioinformatics Analysis for Target Identification of Bioactive Small Molecule
Chapter number 14
Book title
Plant Chemical Genomics
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7874-8_14
Pubmed ID
Book ISBNs
978-1-4939-7873-1, 978-1-4939-7874-8
Authors

Yoichi Takakusagi, Kaori Takakusagi, Fumio Sugawara, Kengo Sakaguchi, Takakusagi, Yoichi, Takakusagi, Kaori, Sugawara, Fumio, Sakaguchi, Kengo

Abstract

Identification of target proteins that directly bind to bioactive small molecule is of great interest in terms of clarifying the mode of action of the small molecule as well as elucidating the biological phenomena at the molecular level. Of the experimental technologies available, T7 phage display allows comprehensive screening of small molecule-recognizing amino acid sequence from the peptide libraries displayed on the T7 phage capsid. Here, we describe the T7 phage display strategy that is combined with quartz-crystal microbalance (QCM) biosensor for affinity selection platform and bioinformatics analysis for small molecule-recognizing short peptides. This method dramatically enhances efficacy and throughput of the screening for small molecule-recognizing amino acid sequences without repeated rounds of selection. Subsequent execution of bioinformatics programs allows combinatorial and comprehensive target protein discovery of small molecules with its binding site, regardless of protein sample insolubility, instability, or inaccessibility of the fixed small molecules to internally located binding site on larger target proteins when conventional proteomics approaches are used.

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Student > Master 3 17%
Student > Postgraduate 2 11%
Researcher 1 6%
Student > Bachelor 1 6%
Other 0 0%
Unknown 6 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 17%
Chemistry 3 17%
Agricultural and Biological Sciences 2 11%
Veterinary Science and Veterinary Medicine 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 7 39%
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 February 2019.
All research outputs
#20,789,096
of 23,393,513 outputs
Outputs from Methods in molecular biology
#10,128
of 13,324 outputs
Outputs of similar age
#380,172
of 444,565 outputs
Outputs of similar age from Methods in molecular biology
#1,186
of 1,496 outputs
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So far Altmetric has tracked 13,324 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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