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Imaging of Protein Secretion from a Single Cell Using Plasmonic Substrates

Overview of attention for article published in BioNanoScience, January 2013
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Title
Imaging of Protein Secretion from a Single Cell Using Plasmonic Substrates
Published in
BioNanoScience, January 2013
DOI 10.1007/s12668-013-0076-7
Pubmed ID
Authors

Henryk Szmacinski, Vladimir Toshchakov, Wenji Piao, Joseph R. Lakowicz

Abstract

Detecting, imaging, and monitoring cell function on a single cell basis is very important in the field of immunology research where many molecules are secreted from cells in response to external stimuli including immunization. Here we introduce substrates with plasmonic nanoparticles and fluorescence microscopy as promising imaging methods for studies on molecular processes controlling cell behavior, particularly secretion of cytokines. We developed unique composition of silver and silica layers of plasmonic nanostructures which resulted in fluorescence enhancement of more than 200-fold for ensemble of molecules in the immunoassay. For the proof of concept demonstration, we used primary mouse macrophages and imaged tumor necrosis alpha (TNF-α) secretion after stimulation of the cells with lipopolysaccharide (LPS). We demonstrate that metal-enhanced fluorescence assay provides imaging capability detection of cytokine secretion from a single cell without extensive biochemical procedures as required with standard methods. In addition it is demonstrated that cell viability can be controlled during secretion.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 39%
Professor > Associate Professor 2 11%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Student > Ph. D. Student 1 6%
Other 3 17%
Unknown 3 17%
Readers by discipline Count As %
Chemistry 4 22%
Biochemistry, Genetics and Molecular Biology 2 11%
Engineering 2 11%
Physics and Astronomy 2 11%
Immunology and Microbiology 1 6%
Other 3 17%
Unknown 4 22%
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 01 March 2013.
All research outputs
#20,185,720
of 22,701,287 outputs
Outputs from BioNanoScience
#98
of 118 outputs
Outputs of similar age
#247,851
of 280,591 outputs
Outputs of similar age from BioNanoScience
#3
of 3 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 118 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 280,591 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 3 others from the same source and published within six weeks on either side of this one.