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Quorum Sensing

Overview of attention for book
Cover of 'Quorum Sensing'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Use of Whole-Cell Bioassays for Screening Quorum Signaling, Quorum Interference, and Biofilm Dispersion
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    Chapter 2 Detection of 2-Alkyl-4-Quinolones Using Biosensors
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    Chapter 3 “Hot Stuff”: The Many Uses of a Radiolabel Assay in Detecting Acyl-Homoserine Lactone Quorum-Sensing Signals
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    Chapter 4 Liquid Chromatography/Mass Spectrometry (LC/MS) for the Detection and Quantification of N-Acyl-L-Homoserine Lactones (AHLs) and 4-Hydroxy-2-Alkylquinolines (HAQs)
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    Chapter 5 Detection of the Bacterial Quorum-Sensing Signaling Molecules N-Acyl-Homoserine Lactones (HSL) and N-Acyl-Homoserine (HS) with an Enzyme-Linked Immunosorbent Assay (ELISA) and via Ultrahigh-Performance Liquid Chromatography Coupled to Mass Spectrometry (UHPLC-MS)
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    Chapter 6 Biosensors for the Detection and Quantification of AI-2 Class Quorum-Sensing Compounds
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    Chapter 7 Detection of Agr-Type Autoinducing Peptides Produced by Staphylococcus aureus
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    Chapter 8 Ultra-Performance Liquid Chromatography/Mass Spectrometry for the Detection and Quantification of Diffusible Signal Factor (DSF) Family Quorum-Sensing Signals
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    Chapter 9 Rapid Electrochemical Detection of Pseudomonas aeruginosa Signaling Molecules by Boron-Doped Diamond Electrode
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    Chapter 10 Detection and Quantification of Butyrolactones from Streptomyces
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    Chapter 11 Fluorescence Quenching Studies of γ-Butyrolactone-Binding Protein (CprB) from Streptomyces coelicolor A3(2)
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    Chapter 12 Methods to Study Solo/Orphan Quorum-Sensing Receptors
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    Chapter 13 Enzymatic Assays to Investigate Acyl-Homoserine Lactone Autoinducer Synthases
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    Chapter 14 Global Expression Analysis of Quorum Sensing-Controlled Genes by RNAseq
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    Chapter 15 Identification of AHL- and BDSF-Controlled Proteins in Burkholderia cenocepacia by Proteomics
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    Chapter 16 Imaging N-Acyl Homoserine Lactone Quorum Sensing In Vivo
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    Chapter 17 Assessing Pseudomonas aeruginosa Autoinducer Effects on Mammalian Epithelial Cells
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    Chapter 18 Animal Models for Pseudomonas aeruginosa Quorum Sensing Studies
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    Chapter 19 Methods to Study Quorum Sensing-Dependent Virulence and Movement of Phytopathogens In Planta
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    Chapter 20 Differential Equations Models to Study Quorum Sensing
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    Chapter 21 Qualitative and Quantitative Determination of Quorum Sensing Inhibition In Vitro
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    Chapter 22 A Coculture-Based Approach for Screening Campaigns Aimed at Identifying Novel Pseudomonas aeruginosa Quorum Sensing Inhibitors
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    Chapter 23 A Culture-Dependent Method for the Identification of Quorum Quenching Enzymes of Microbial Origin
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    Chapter 24 Directed Evolution of Quorum-Quenching Enzymes: A Method for the Construction of a Directed Evolution Platform and Characterization of a Quorum-Quenching Lactonase from Geobacillus kaustophilus
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    Chapter 25 Generation of High-Sensitivity Monoclonal Antibodies Specific for Homoserine Lactones
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    Chapter 26 Identification of AI-2 Quorum Sensing Inhibitors in Vibrio harveyi Through Structure-Based Virtual Screening
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    Chapter 27 Identification of Staphylococcal Quorum Sensing Inhibitors by Quantification of õ-Hemolysin with High Performance Liquid Chromatography
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    Chapter 28 Erratum to: Fluorescence Quenching Studies of γ-Butyrolactone-Binding Protein (CprB) from Streptomyces coelicolor A3(2)
Attention for Chapter 25: Generation of High-Sensitivity Monoclonal Antibodies Specific for Homoserine Lactones
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Chapter title
Generation of High-Sensitivity Monoclonal Antibodies Specific for Homoserine Lactones
Chapter number 25
Book title
Quorum Sensing
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7309-5_25
Pubmed ID
Book ISBNs
978-1-4939-7308-8, 978-1-4939-7309-5
Authors

Soumya Palliyil

Abstract

A number of bacteria use a class of chemical compounds called acyl-homoserine lactones (AHLs) as quorum sensing (QS) signals to coordinate their behavior at the population level, including pathogens like Pseudomonas aeruginosa. Blocking QS using antibodies is an attractive strategy for infection control as this process takes a central role in P. aeruginosa infections. Here the methods involved in the generation of high sensitivity anti-QS monoclonal antibodies from an immunized sheep phage display antibody library are described. A panel of AHL compounds conjugated to carrier proteins are used for sheep immunization and a phage display antibody library is constructed using the immune repertoire of sheep as a source of antibody genes. High sensitivity single chain antibody fragments (scFv) are isolated from the library using "smart selection strategies" and reformatted into single chain antibodies (scAbs). The resultant monoclonal antibodies: (1) recognize HSL compounds at low nanomolar concentrations; (2) have the potential to reduce virulence gene expression in P. aeruginosa; and (3) offer protection in a nematode model of infection.

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Ph. D. Student 1 11%
Student > Master 1 11%
Unknown 4 44%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%
Nursing and Health Professions 1 11%
Immunology and Microbiology 1 11%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 November 2017.
All research outputs
#13,337,759
of 23,007,887 outputs
Outputs from Methods in molecular biology
#3,491
of 13,157 outputs
Outputs of similar age
#213,776
of 442,278 outputs
Outputs of similar age from Methods in molecular biology
#327
of 1,498 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 442,278 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.