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Bacterial Cell Wall Homeostasis

Overview of attention for book
Cover of 'Bacterial Cell Wall Homeostasis'

Table of Contents

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    Book Overview
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    Chapter 1 Bacterial Cell Wall Homeostasis
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    Chapter 2 Ultra-Sensitive, High-Resolution Liquid Chromatography Methods for the High-Throughput Quantitative Analysis of Bacterial Cell Wall Chemistry and Structure.
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    Chapter 3 Bacterial Cell Wall Homeostasis
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    Chapter 4 Cell Shaving and False-Positive Control Strategies Coupled to Novel Statistical Tools to Profile Gram-Positive Bacterial Surface Proteomes.
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    Chapter 5 Differential Proteomics Based on Multidimensional Protein Identification Technology to Understand the Biogenesis of Outer Membrane of Escherichia coli.
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    Chapter 6 Bacterial Cell Wall Homeostasis
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    Chapter 7 Zymographic Techniques for the Analysis of Bacterial Cell Wall in Bacillus.
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    Chapter 8 Liquid Chromatography-Tandem Mass Spectrometry to Define Sortase Cleavage Products.
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    Chapter 9 Genetics and Cell Morphology Analyses of the Actinomyces oris srtA Mutant.
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    Chapter 10 Bacterial Cell Wall Homeostasis
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    Chapter 11 Luciferase Reporter Gene System to Detect Cell Wall Stress Stimulon Induction in Staphylococcus aureus.
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    Chapter 12 Bacterial Cell Wall Homeostasis
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    Chapter 13 Continuous Fluorescence Assay for Peptidoglycan Glycosyltransferases.
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    Chapter 14 Analysis of Peptidoglycan Fragment Release.
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    Chapter 15 Bacterial Cell Wall Homeostasis
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    Chapter 16 Analysis of Bacterial Cell Surface Chemical Composition Using Cryogenic X-Ray Photoelectron Spectroscopy.
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    Chapter 17 Biophysical Measurements of Bacterial Cell Shape.
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    Chapter 18 Bacterial Cell Wall Homeostasis
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    Chapter 19 Structural Comparison and Simulation of Pneumococcal Peptidoglycan Hydrolase LytB.
Attention for Chapter 10: Bacterial Cell Wall Homeostasis
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Chapter title
Bacterial Cell Wall Homeostasis
Chapter number 10
Book title
Bacterial Cell Wall Homeostasis
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3676-2_10
Pubmed ID
Book ISBNs
978-1-4939-3674-8, 978-1-4939-3676-2
Authors

Hong, Hee-Jeon, Hee-Jeon Hong

Editors

Hee-Jeon Hong

Abstract

sigE in Streptomyces coelicolor encodes an extracytoplasmic function (ECF) sigma factor, σ (E), which is part of a signal transduction system that senses and responds to general cell wall stress in S. coelicolor. Expression of sigE is induced by a wide variety of agents that stress the cell wall under the control of two-component signal transduction system, CseB/CseC encoded in the same operon where sigE was identified from. Here we describe a method developing a bioassay system in S. coelicolor via a transcriptional fusion in which the promoter of sigE operon and a reporter gene (neo) conferring resistance to kanamycin were used. The effectiveness of the resulting bioassay system was determined by monitoring various agents that cause bacterial cell wall stress such as lysozyme or some antibiotics that target cell wall. In consequence, the result confirms that the bioassay system has a potential to be a simple but effective screening tool for identifying novel extracellular agents targeting bacterial cell wall.

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

Geographical breakdown

Country Count As %
Netherlands 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Lecturer 1 33%
Student > Postgraduate 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 67%
Immunology and Microbiology 1 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 17 January 2018.
All research outputs
#9,513,240
of 12,379,581 outputs
Outputs from Methods in molecular biology
#3,659
of 8,327 outputs
Outputs of similar age
#170,921
of 267,615 outputs
Outputs of similar age from Methods in molecular biology
#5
of 6 outputs
Altmetric has tracked 12,379,581 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,327 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.