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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 3: Bacterial Cell Wall Homeostasis
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Chapter title
Bacterial Cell Wall Homeostasis
Chapter number 3
Book title
Bacterial Cell Wall Homeostasis
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3676-2_3
Pubmed ID
Book ISBNs
978-1-4939-3674-8, 978-1-4939-3676-2
Authors

Hong, Hee-Jeon, Hesketh, Andy, Hee-Jeon Hong, Andy Hesketh

Editors

Hee-Jeon Hong

Abstract

Transcriptomics, the genome-wide analysis of gene transcription, has become an important tool for characterizing and understanding the signal transduction networks operating in bacteria. Here we describe a protocol for quantifying and interpreting changes in the transcriptome of Streptomyces coelicolor that take place in response to treatment with three antibiotics active against different stages of peptidoglycan biosynthesis. The results defined the transcriptional responses associated with cell envelope homeostasis including a generalized response to all three antibiotics involving activation of transcription of the cell envelope stress sigma factor σ(E), together with elements of the stringent response, and of the heat, osmotic, and oxidative stress regulons. Many antibiotic-specific transcriptional changes were identified, representing cellular processes potentially important for tolerance to each antibiotic. The principles behind the protocol are transferable to the study of cell envelope homeostatic mechanisms probed using alternative chemical/environmental insults or in other bacterial strains.

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Student > Postgraduate 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Medicine and Dentistry 1 50%

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 18 June 2016.
All research outputs
#6,000,173
of 7,912,542 outputs
Outputs from Methods in molecular biology
#2,948
of 5,618 outputs
Outputs of similar age
#184,329
of 263,161 outputs
Outputs of similar age from Methods in molecular biology
#4
of 5 outputs
Altmetric has tracked 7,912,542 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 5,618 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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