↓ Skip to main content

Two-dimensional gel electrophoresis in bacterial proteomics

Overview of attention for article published in Protein & Cell, May 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
103 Mendeley
Title
Two-dimensional gel electrophoresis in bacterial proteomics
Published in
Protein & Cell, May 2012
DOI 10.1007/s13238-012-2034-5
Pubmed ID
Authors

Shirly O T Curreem, Rory M Watt, Susanna K P Lau, Patrick C Y Woo

Abstract

Two-dimensional gel electrophoresis (2-DE) is a gel-based technique widely used for analyzing the protein composition of biological samples. It is capable of resolving complex mixtures containing more than a thousand protein components into individual protein spots through the coupling of two orthogonal biophysical separation techniques: isoelectric focusing (first dimension) and polyacrylamide gel electrophoresis (second dimension). 2-DE is ideally suited for analyzing the entire expressed protein complement of a bacterial cell: its proteome. Its relative simplicity and good reproducibility have led to 2-DE being widely used for exploring proteomics within a wide range of environmental and medically-relevant bacteria. Here we give a broad overview of the basic principles and historical development of gel-based proteomics, and how this powerful approach can be applied for studying bacterial biology and physiology. We highlight specific 2-DE applications that can be used to analyze when, where and how much proteins are expressed. The links between proteomics, genomics and mass spectrometry are discussed. We explore how proteomics involving tandem mass spectrometry can be used to analyze (post-translational) protein modifications or to identify proteins of unknown origin by de novo peptide sequencing. The use of proteome fractionation techniques and non-gel-based proteomic approaches are also discussed. We highlight how the analysis of proteins secreted by bacterial cells (secretomes or exoproteomes) can be used to study infection processes or the immune response. This review is aimed at non-specialists who wish to gain a concise, comprehensive and contemporary overview of the nature and applications of bacterial proteomics.

X Demographics

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

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 102 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 20%
Student > Bachelor 18 17%
Researcher 17 17%
Student > Master 16 16%
Student > Doctoral Student 5 5%
Other 9 9%
Unknown 17 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 29%
Biochemistry, Genetics and Molecular Biology 21 20%
Chemistry 7 7%
Medicine and Dentistry 6 6%
Immunology and Microbiology 4 4%
Other 14 14%
Unknown 21 20%
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 23 May 2012.
All research outputs
#18,306,425
of 22,665,794 outputs
Outputs from Protein & Cell
#557
of 737 outputs
Outputs of similar age
#126,108
of 163,862 outputs
Outputs of similar age from Protein & Cell
#8
of 12 outputs
Altmetric has tracked 22,665,794 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 737 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one is in the 10th percentile – i.e., 10% 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 163,862 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.