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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
  3. Altmetric Badge
    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
  20. Altmetric Badge
    Chapter 19 Structural Comparison and Simulation of Pneumococcal Peptidoglycan Hydrolase LytB.
Attention for Chapter 6: Bacterial Cell Wall Homeostasis
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Chapter title
Bacterial Cell Wall Homeostasis
Chapter number 6
Book title
Bacterial Cell Wall Homeostasis
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3676-2_6
Pubmed ID
Book ISBNs
978-1-4939-3674-8, 978-1-4939-3676-2
Authors

Reyes-Cortés, Ruth, Arguijo-Hernández, Emma S, Carballo-Ontiveros, Marco A, Martínez-Peñafiel, Eva, Kameyama, Luis, Ruth Reyes-Cortés, Emma S. Arguijo-Hernández, Marco A. Carballo-Ontiveros, Eva Martínez-Peñafiel, Luis Kameyama

Editors

Hee-Jeon Hong

Abstract

In order to identify host components involved in the infective process of bacteriophages, we developed a wide-range strategy to obtain cell envelope mutants, using Escherichia coli W3110 and its specific phage mEp213. The strategy consisted in four steps: (1) random mutagenesis using transposon miniTn10Km(r); (2) selection of phage-resistant mutants by replica-plating; (3) electroporation of the phage-resistant mutants with mEp213 genome, followed by selection of those allowing phage development; and (4) sequencing of the transposon-disrupted genes. This strategy allowed us to distinguish the host factors related to phage development or multiplication within the cell, from those involved in phage infection at the level of the cell envelope.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 20%
Student > Ph. D. Student 2 20%
Researcher 1 10%
Other 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 20%
Veterinary Science and Veterinary Medicine 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Environmental Science 1 10%
Immunology and Microbiology 1 10%
Other 1 10%
Unknown 3 30%
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 24 February 2018.
All research outputs
#17,808,979
of 22,877,793 outputs
Outputs from Methods in molecular biology
#7,245
of 13,132 outputs
Outputs of similar age
#267,795
of 393,703 outputs
Outputs of similar age from Methods in molecular biology
#752
of 1,471 outputs
Altmetric has tracked 22,877,793 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 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 393,703 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.