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Bacterial Protein Secretion Systems

Overview of attention for book
Cover of 'Bacterial Protein Secretion Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Identification of Protein Secretion Systems in Bacterial Genomes Using MacSyFinder
  3. Altmetric Badge
    Chapter 2 Protein Sorting Prediction
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    Chapter 3 Cell Fractionation
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    Chapter 4 Defining Lipoprotein Localisation by Fluorescence Microscopy
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    Chapter 5 Identification of Lipoproteins Using Globomycin and Radioactive Palmitate
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    Chapter 6 Defining Membrane Protein Localization by Isopycnic Density Gradients
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    Chapter 7 Cell Surface Exposure
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    Chapter 8 Probing Inner Membrane Protein Topology by Proteolysis
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    Chapter 9 Mapping of Membrane Protein Topology by Substituted Cysteine Accessibility Method (SCAM™)
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    Chapter 10 Defining Membrane Protein Topology Using pho-lac Reporter Fusions
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    Chapter 11 In Vivo and In Vitro Protein–Peptidoglycan Interactions
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    Chapter 12 Measure of Peptidoglycan Hydrolase Activity
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    Chapter 13 Protein–Protein Interaction: Bacterial Two-Hybrid
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    Chapter 14 Protein–Protein Interactions: Yeast Two-Hybrid System
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    Chapter 15 Protein–Protein Interactions: Cytology Two-Hybrid
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    Chapter 16 Fusion Reporter Approaches to Monitoring Transmembrane Helix Interactions in Bacterial Membranes
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    Chapter 17 Protein–Protein Interactions: Co-Immunoprecipitation
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    Chapter 18 Protein–Protein Interaction: Tandem Affinity Purification in Bacteria
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    Chapter 19 Site-Directed and Time-Resolved Photocrosslinking in Cells Metabolically Labeled with Radioisotopes
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    Chapter 20 Protein–Protein Interactions: Pull-Down Assays
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    Chapter 21 Protein–Protein Interactions: Surface Plasmon Resonance
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    Chapter 22 Assessing Energy-Dependent Protein Conformational Changes in the TonB System
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    Chapter 23 Defining Assembly Pathways by Fluorescence Microscopy
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    Chapter 24 Large Complexes: Cloning Strategy, Production, and Purification
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    Chapter 25 Shearing and Enrichment of Extracellular Type IV Pili
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    Chapter 26 Blue Native PAGE Analysis of Bacterial Secretion Complexes
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    Chapter 27 In Situ Imaging of Bacterial Secretion Systems by Electron Cryotomography
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    Chapter 28 Structural Analysis of Protein Complexes by Cryo Electron Microscopy
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    Chapter 29 Bacterial Filamentous Appendages Investigated by Solid-State NMR Spectroscopy
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    Chapter 30 Energy Requirements for Protein Secretion via the Flagellar Type III Secretion System
  32. Altmetric Badge
    Chapter 31 Identification of Effectors: Precipitation of Supernatant Material
  33. Altmetric Badge
    Chapter 32 Screening for Secretion of the Type VI Secretion System Protein Hcp by Enzyme-Linked Immunosorbent Assay and Colony Blot
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    Chapter 33 Effector Translocation: Cya Reporter Assay
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    Chapter 34 Monitoring Effector Translocation using the TEM-1 Beta-Lactamase Reporter System
  36. Altmetric Badge
    Chapter 35 Effector Translocation Assay: Differential Solubilization
  37. Altmetric Badge
    Chapter 36 Quantitative Determination of Anti-bacterial Activity During Bacterial Co-culture
  38. Altmetric Badge
    Chapter 37 Erratum to: Bacterial Filamentous Appendages Investigated by Solid-State NMR Spectroscopy
Attention for Chapter 1: Identification of Protein Secretion Systems in Bacterial Genomes Using MacSyFinder
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  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Chapter title
Identification of Protein Secretion Systems in Bacterial Genomes Using MacSyFinder
Chapter number 1
Book title
Bacterial Protein Secretion Systems
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7033-9_1
Pubmed ID
Book ISBNs
978-1-4939-7031-5, 978-1-4939-7033-9
Authors

Abby, Sophie S., Rocha, Eduardo P. C., Sophie S. Abby, Eduardo P. C. Rocha

Editors

Laure Journet, Eric Cascales

Abstract

Protein secretion systems are complex molecular machineries that translocate proteins through the outer membrane, and sometimes through multiple other barriers. They have evolved by co-option of components from other envelope-associated cellular machineries, making them sometimes difficult to identify and discriminate. Here, we describe how to identify protein secretion systems in bacterial genomes using MacSyFinder. This flexible computational tool uses the knowledge stemming from experimental studies to identify homologous systems in genome data. It can be used with a set of predefined models-"TXSScan"-to identify all major secretion systems of diderm bacteria (i.e., with inner and with LPS-containing outer membranes). For this, it identifies and clusters colocalized components of secretion systems using sequence similarity searches with hidden Markov model protein profiles. Finally, it checks whether the genetic content and organization of clusters satisfy the constraints of the model. TXSScan models can be customized to search for variants of known systems. The models can also be built from scratch to identify novel systems. In this chapter, we describe a complete pipeline of analysis, including the identification of a reference set of experimentally studied systems, the identification of components and the construction of their protein profiles, the definition of the models, their optimization, and, finally, their use as tools to search genomic data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Researcher 19 20%
Student > Bachelor 11 12%
Student > Master 10 11%
Student > Doctoral Student 7 7%
Other 15 16%
Unknown 12 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 33%
Agricultural and Biological Sciences 23 24%
Immunology and Microbiology 11 12%
Unspecified 3 3%
Computer Science 3 3%
Other 6 6%
Unknown 18 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 July 2017.
All research outputs
#5,881,216
of 23,342,664 outputs
Outputs from Methods in molecular biology
#1,647
of 13,337 outputs
Outputs of similar age
#91,441
of 314,955 outputs
Outputs of similar age from Methods in molecular biology
#17
of 270 outputs
Altmetric has tracked 23,342,664 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,337 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 87% 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 314,955 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 70% of its contemporaries.
We're also able to compare this research output to 270 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.