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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
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    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 16: Taking the shortcut for high-throughput shotgun proteomic analysis of bacteria.
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Chapter title
Taking the shortcut for high-throughput shotgun proteomic analysis of bacteria.
Chapter number 16
Book title
Host-Bacteria Interactions
Published in
Methods in molecular biology, July 2014
DOI 10.1007/978-1-4939-1261-2_16
Pubmed ID
Book ISBNs
978-1-4939-1260-5, 978-1-4939-1261-2
Authors

Erica Marie Hartmann, François Allain, Jean-Charles Gaillard, Olivier Pible, Jean Armengaud

Editors

Annette C. Vergunst, David O'Callaghan

Abstract

Currently, proteomic tools are able to establish a complete list of the most abundant proteins present in a sample, providing the opportunity to study at high resolution the physiology of any bacteria for which the genome sequence is available. For a comprehensive list, proteins should be first resolved into fractions that are then proteolyzed by trypsin. The resulting peptide mixtures are analyzed by a high-throughput tandem mass spectrometer that records thousands of MS/MS spectra for each fraction. These spectra are then assigned to peptides, which are used as evidence of the existence of proteins. In addition to generating a list of protein identifications, this shortcut to proteomics uses the number of spectra recorded for each protein to quantify the observations. Here, we describe one of the most simple sample preparation methods for high-throughput proteomics of bacteria, as well as the subsequent data processing to extract quantitative information based on the spectral count approach.

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

Geographical breakdown

Country Count As %
Tunisia 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Master 5 16%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 10%
Student > Doctoral Student 2 6%
Other 7 23%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 32%
Biochemistry, Genetics and Molecular Biology 8 26%
Immunology and Microbiology 2 6%
Computer Science 2 6%
Environmental Science 1 3%
Other 4 13%
Unknown 4 13%
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
#18,379,018
of 22,764,165 outputs
Outputs from Methods in molecular biology
#7,871
of 13,089 outputs
Outputs of similar age
#163,497
of 228,768 outputs
Outputs of similar age from Methods in molecular biology
#25
of 92 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 59% of its contemporaries.