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Host-Bacteria Interactions

Overview of attention for book
Cover of 'Host-Bacteria Interactions'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Galleria mellonella as an Infection Model for Select Agents.
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    Chapter 2 Drosophila as a model for intestinal infections.
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    Chapter 3 Zebrafish embryos as a model to study bacterial virulence.
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    Chapter 4 Studying host-pathogen interaction events in living mice visualized in real time using biophotonic imaging.
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    Chapter 5 Intravital two-photon imaging to understand bacterial infections of the Mammalian host.
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    Chapter 6 Cre Reporter Assay for Translocation (CRAfT): A Tool for the Study of Protein Translocation into Host Cells.
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    Chapter 7 Detection of the interaction between host and bacterial proteins: eukaryotic nucleolin interacts with francisella elongation factor tu.
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    Chapter 8 Hijacking the host proteasome for the temporal degradation of bacterial effectors.
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    Chapter 9 Live cell imaging of phosphoinositide dynamics during legionella infection.
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    Chapter 10 Investigating interference with apoptosis induction by bacterial proteins.
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    Chapter 11 Bimolecular fluorescence complementation for imaging protein interactions in plant hosts of microbial pathogens.
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    Chapter 12 Investigating TLR Signaling Responses in Murine Dendritic Cells Upon Bacterial Infection.
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    Chapter 13 siRNA Screens Using Drosophila Cells to Identify Host Factors Required for Infection.
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    Chapter 14 Purification of Intracellular Bacteria: Isolation of Viable Brucella abortus from Host Cells.
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    Chapter 15 RNA Sequencing of FACS-Sorted Immune Cell Populations from Zebrafish Infection Models to Identify Cell Specific Responses to Intracellular Pathogens.
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    Chapter 16 Taking the shortcut for high-throughput shotgun proteomic analysis of bacteria.
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    Chapter 17 Comparative Genomic Analysis at the PATRIC, A Bioinformatic Resource Center.
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    Chapter 18 A Markerless Deletion Method for Genetic Manipulation of Burkholderia cenocepacia and Other Multidrug-Resistant Gram-Negative Bacteria.
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    Chapter 19 Gene Inactivation in Coxiella burnetii.
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    Chapter 20 A Chemical Mutagenesis Approach to Identify Virulence Determinants in the Obligate Intracellular Pathogen Chlamydia trachomatis.
Attention for Chapter 19: Gene Inactivation in Coxiella burnetii.
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Chapter title
Gene Inactivation in Coxiella burnetii.
Chapter number 19
Book title
Host-Bacteria Interactions
Published in
Methods in molecular biology, July 2014
DOI 10.1007/978-1-4939-1261-2_19
Pubmed ID
Book ISBNs
978-1-4939-1260-5, 978-1-4939-1261-2
Authors

Beare PA, Heinzen RA, Paul A. Beare, Robert A. Heinzen, Beare, Paul A., Heinzen, Robert A.

Editors

Annette C. Vergunst, David O'Callaghan

Abstract

Coxiella burnetii, the agent of human Q fever, is a zoonotic bacterial pathogen with a worldwide distribution. Owing to an historic lack of methods for genetic manipulation, virulence factors deployed by this bacterium for disease pathogenesis are poorly understood. However, the recent advance of host cell-free (axenic) growth of C. burnetii has coincided with development of several new genetic technologies including site-specific and random transposon systems, shuttle vectors, and an inducible gene expression system. We have recently added two methods for targeted gene inactivation to the expanding C. burnetii genetics toolbox. Here, we describe a "loop in/loop out" gene inactivation system for C. burnetii. This procedure allows for generation of site-directed mutants in approximately 10 weeks and has been used by our laboratory to generate more than 50 individual C. burnetii mutants. The collection of C. burnetii genetic tools now allows for conventional mutation and complementation strategies to define virulence factors.

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X Demographics

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 21%
Student > Ph. D. Student 3 21%
Lecturer > Senior Lecturer 1 7%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Other 2 14%
Unknown 3 21%
Readers by discipline Count As %
Immunology and Microbiology 4 29%
Agricultural and Biological Sciences 3 21%
Biochemistry, Genetics and Molecular Biology 2 14%
Medicine and Dentistry 2 14%
Unknown 3 21%
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 29 September 2014.
All research outputs
#17,725,418
of 22,761,738 outputs
Outputs from Methods in molecular biology
#7,189
of 13,088 outputs
Outputs of similar age
#154,709
of 228,768 outputs
Outputs of similar age from Methods in molecular biology
#21
of 92 outputs
Altmetric has tracked 22,761,738 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 13,088 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.