↓ Skip to main content

Listeria monocytogenes

Overview of attention for book
Cover of 'Listeria monocytogenes'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Sampling the Processing Environment for Listeria
  3. Altmetric Badge
    Chapter 2 Traditional Methods for Isolation of Listeria monocytogenes
  4. Altmetric Badge
    Chapter 3 Confirmation of Isolates of Listeria by Conventional and Real-Time PCR
  5. Altmetric Badge
    Chapter 4 Serotype Assignment by Sero-Agglutination, ELISA, and PCR
  6. Altmetric Badge
    Chapter 5 Pulsed-Field Gel Electrophoresis (PFGE) Analysis of Listeria monocytogenes
  7. Altmetric Badge
    Chapter 6 Multilocus Sequence Typing (MLST) of Listeria monocytogenes
  8. Altmetric Badge
    Chapter 7 Ribotyping and Automated Ribotyping of Listeria monocytogenes
  9. Altmetric Badge
    Chapter 8 Fluorescent Amplified Fragment Length Polymorphism (fAFLP) Analysis of Listeria monocytogenes
  10. Altmetric Badge
    Chapter 9 High-Throughput Characterization of Listeria monocytogenes Using the OmniLog Phenotypic Microarray
  11. Altmetric Badge
    Chapter 10 Analysis of Listeria monocytogenes Subproteomes.
  12. Altmetric Badge
    Chapter 11 The Listeria Cell Wall and Associated Carbohydrate Polymers
  13. Altmetric Badge
    Chapter 12 Use of Bacteriophage Cell Wall-Binding Proteins for Rapid Diagnostics of Listeria
  14. Altmetric Badge
    Chapter 13 Virulence Characterization of Listeria monocytogenes
  15. Altmetric Badge
    Chapter 14 Internalization Assays for Listeria monocytogenes
  16. Altmetric Badge
    Chapter 15 Extraction and Analysis of Plasmid DNA from Listeria monocytogenes
  17. Altmetric Badge
    Chapter 16 Generation of Nonpolar Deletion Mutants in Listeria monocytogenes Using the “SOEing” Method
  18. Altmetric Badge
    Chapter 17 Mutant Construction and Integration Vector-Mediated Gene Complementation in Listeria monocytogenes.
  19. Altmetric Badge
    Chapter 18 Absolute and Relative Gene Expression in Listeria monocytogenes Using Real-Time PCR
  20. Altmetric Badge
    Chapter 19 Genome Sequencing of Listeria monocytogenes.
  21. Altmetric Badge
    Chapter 20 Using Enhanced Green Fluorescent Protein (EGFP) Promoter Fusions to Study Gene Regulation at Single Cell and Population Levels
  22. Altmetric Badge
    Chapter 21 Control of Listeria monocytogenes in the Processing Environment by Understanding Biofilm Formation and Resistance to Sanitizers
  23. Altmetric Badge
    Chapter 22 Vaccination Studies: Detection of a Listeria monocytogenes- Specific T Cell Immune Response Using the ELISPOT Technique
  24. Altmetric Badge
    Chapter 23 Sampling the Food Processing Environment: Taking Up the Cudgel for Preventive Quality Management in Food Processing Environments
Attention for Chapter 10: Analysis of Listeria monocytogenes Subproteomes.
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
2 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Analysis of Listeria monocytogenes Subproteomes.
Chapter number 10
Book title
Listeria monocytogenes
Published in
Methods in molecular biology, May 2014
DOI 10.1007/978-1-4939-0703-8_10
Pubmed ID
Book ISBNs
978-1-4939-0702-1, 978-1-4939-0703-8
Authors

Hébraud M, Michel Hébraud

Abstract

The proteomic approaches have considerably evolved over the past two decades. This opened the doors for larger scale and deeper explorations of cellular physiology. Like for other living organisms, using the tools of proteomics has undoubtedly improved knowledge about the foodborne pathogen Listeria monocytogenes. Among the different technologies and approaches permanently evolving in the field of proteomics, the 2-DE is an analytical separation method of choice to resolve thousands of proteins simultaneously in a single gel, allowing their quantification, the study of their posttranslational modifications and the understanding of their biological function. In this, 2-DE remains a perfectly complementary technique to the new high-throughput techniques such as shotgun proteomics approaches. Moreover, in order to gain in analysis depth and improve knowledge about the target of action and the function of proteins in relation to their subcellular location, it is necessary to explore more specifically the different subcellular proteomes. Thus, the subproteomic analyses became essential and dramatically increased these last years, particularly on proteins secreted into the extracellular milieu, named exoproteome, or on cell envelope proteins (cell wall and membrane proteins) which are involved in the interactions with the surrounding environment. Here, the extraction and separation of L. monocytogenes subproteomes are described based on cell fractionation and 2-DE techniques. This chapter gives a workflow to obtain the exoproteome, the intracellular proteome, the cell wall, and membrane proteomes of the Gram-positive bacterium L. monocytogenes. The different steps of 2-DE technology, composed of a first dimension based on the separation of proteins according to their charge, an equilibration step, then a second dimension based on the separation of proteins according to their mass, and finally the staining of proteins in the gel are detailed. Emerging technologies to extract the exoproteome or the cell surface proteome after enzymatic shaving and to analyze them by shotgun method are also discussed briefly.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Agricultural and Biological Sciences 1 50%

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 24 December 2014.
All research outputs
#3,799,449
of 4,691,823 outputs
Outputs from Methods in molecular biology
#2,173
of 3,382 outputs
Outputs of similar age
#121,891
of 155,500 outputs
Outputs of similar age from Methods in molecular biology
#272
of 412 outputs
Altmetric has tracked 4,691,823 research outputs across all sources so far. This one is in the 3rd percentile – i.e., 3% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,382 research outputs from this source. They receive a mean Attention Score of 1.4. This one is in the 1st percentile – i.e., 1% 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 155,500 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 412 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.