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Bacterial Chemosensing

Overview of attention for book
Cover of 'Bacterial Chemosensing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Diversity of Bacterial Chemosensing
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    Chapter 2 Transmembrane Signal Transduction in Bacterial Chemosensing
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    Chapter 3 Two Spatial Chemotaxis Assays: The Nutrient-Depleted Chemotaxis Assay and the Agarose-Plug-Bridge Assay
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    Chapter 4 Quantification of Bacterial Chemotaxis Responses at the Mouths of Hydrogel Capillaries
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    Chapter 5 A Static Microfluidic Device for Investigating the Chemotaxis Response to Stable, Non-linear Gradients
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    Chapter 6 Visualizing Chemoattraction of Planktonic Cells to a Biofilm
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    Chapter 7 Labeling Bacterial Flagella with Fluorescent Dyes
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    Chapter 8 All-Codon Mutagenesis for Structure-Function Studies of Chemotaxis Signaling Proteins
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    Chapter 9 Mutational Analysis of Binding Protein–Chemoreceptor Interactions
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    Chapter 10 In Vitro Assay for Measuring Receptor-Kinase Activity in the Bacillus subtilis Chemotaxis Pathway
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    Chapter 11 FRET Analysis of the Chemotaxis Pathway Response
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    Chapter 12 Monitoring Two-Component Sensor Kinases with a Chemotaxis Signal Readout
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    Chapter 13 Analyzing Protein Domain Interactions in Chemoreceptors by In Vivo PEGylation
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    Chapter 14 Tuning Chemoreceptor Signaling by Positioning Aromatic Residues at the Lipid–Aqueous Interface
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    Chapter 15 Analyzing Chemoreceptor Interactions In Vivo with the Trifunctional Cross-Linker TMEA
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    Chapter 16 Use of Cryo-EM to Study the Structure of Chemoreceptor Arrays In Vivo
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    Chapter 17 Visualizing Chemoreceptor Arrays in Bacterial Minicells by Cryo-Electron Tomography and Subtomogram Analysis
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    Chapter 18 Bacterial Chemoreceptor Imaging at High Spatiotemporal Resolution Using Photoconvertible Fluorescent Proteins
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    Chapter 19 Imaging of Single Dye-Labeled Chemotaxis Proteins in Live Bacteria Using Electroporation
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    Chapter 20 Fluorescence Anisotropy to Detect In Vivo Stimulus-Induced Changes in Chemoreceptor Packing
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    Chapter 21 Chemotaxis to Atypical Chemoattractants by Soil Bacteria
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    Chapter 22 Screening Chemoreceptor–Ligand Interactions by High-Throughput Thermal-Shift Assays
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    Chapter 23 High-Throughput Screening to Identify Chemoreceptor Ligands
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    Chapter 24 Identification of Specific Ligands for Sensory Receptors by Small-Molecule Ligand Arrays and Surface Plasmon Resonance
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    Chapter 25 Fluorescence Measurement of Kinetics of CheY Autophosphorylation with Small Molecule Phosphodonors
  27. Altmetric Badge
    Chapter 26 Synthesis of a Stable Analog of the Phosphorylated Form of CheY: Phosphono-CheY
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    Chapter 27 Quantitative Modeling of Flagellar Motor-Mediated Adaptation
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    Chapter 28 Molecular Modeling of Chemoreceptor:Ligand Interactions
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    Chapter 29 Phylogenetic and Protein Sequence Analysis of Bacterial Chemoreceptors
Attention for Chapter 18: Bacterial Chemoreceptor Imaging at High Spatiotemporal Resolution Using Photoconvertible Fluorescent Proteins
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Chapter title
Bacterial Chemoreceptor Imaging at High Spatiotemporal Resolution Using Photoconvertible Fluorescent Proteins
Chapter number 18
Book title
Bacterial Chemosensing
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7577-8_18
Pubmed ID
29429094
Book ISBNs
978-1-4939-7576-1, 978-1-4939-7577-8
Authors

Jacopo Solari, Francois Anquez, Katharina M. Scherer, Thomas S. Shimizu, Solari, Jacopo, Anquez, Francois, Scherer, Katharina M., Shimizu, Thomas S.

Abstract

We describe two methods for high-resolution fluorescence imaging of the positioning and mobility of E. coli chemoreceptors fused to photoconvertible fluorescent proteins. Chemoreceptors such as Tar and Tsr are transmembrane proteins expressed at high levels (thousands of copies per cell). Together with their cognate cytosolic signaling proteins, they form clusters on the plasma membrane. Theoretical models imply that the size of these clusters is an important parameter for signaling, and recent PALM imaging has revealed a broad distribution of cluster sizes. We describe experimental setups and protocols for PALM imaging in fixed cells with ~10 nm spatial precision, which allows analysis of cluster-size distributions, and localized-photoactivation single-particle tracking (LPA-SPT) in live cells at ~10 ms temporal resolution, which allows for analysis of cluster mobility.

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Student > Ph. D. Student 2 18%
Researcher 2 18%
Professor > Associate Professor 2 18%
Unknown 2 18%
Readers by discipline Count As %
Physics and Astronomy 3 27%
Medicine and Dentistry 2 18%
Agricultural and Biological Sciences 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Engineering 1 9%
Other 0 0%
Unknown 3 27%
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 20 February 2018.
All research outputs
#17,930,799
of 23,023,224 outputs
Outputs from Methods in molecular biology
#7,289
of 13,166 outputs
Outputs of similar age
#310,396
of 442,364 outputs
Outputs of similar age from Methods in molecular biology
#868
of 1,498 outputs
Altmetric has tracked 23,023,224 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 13,166 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 442,364 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
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 is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.

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