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Silver nanoparticles for the detection of cell surface antigens in mass cytometry

Overview of attention for article published in Cytometry Part A, June 2016
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Mentioned by

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5 tweeters

Citations

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13 Dimensions

Readers on

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36 Mendeley
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1 CiteULike
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Title
Silver nanoparticles for the detection of cell surface antigens in mass cytometry
Published in
Cytometry Part A, June 2016
DOI 10.1002/cyto.a.22904
Pubmed ID
Authors

Axel Ronald Schulz, Silke Stanislawiak, Sabine Baumgart, Andreas Grützkau, Henrik E. Mei

Abstract

Mass cytometry has pioneered >40-parameter single-cell analyses that allow for the characterization of complex cellular networks at unprecedented depth. Up to 135 parameters can be simultaneously detected, but limited availability of metal tags suitable for labeling of specific probes prevents optimal exploitation of the analytical capacity of mass cytometers. To this end, we here establish the application of elemental silver nanoparticles (AgNP) of different size for reporting cell surface antigens on human leukocytes in mass cytometry assays. The mass channels at 107 Da and 109 Da are uniquely occupied by silver isotopes and do not interfere with other mass cytometry reagents. Streptavidin-coated AgNP (SA-AgNP) facilitated distinct and specific detection of various antigens, such as CD8, CD244 and CD294 on peripheral blood leukocytes pre-incubated with respective biotinylated primary antibodies. Signal intensities elicited by 40 nm-sized AgNP allowed specific detection of the low abundance antigen CD25 on both, peripheral blood regulatory T cells and CD25(lo) CD127(+) CD4(+) T cells, enabling their distinct clustering in viSNE plots. SA-AgNP were of high elemental purity, showed minor background binding to cells in immunoassays, and were compatible with previously established staining protocols for PBMC and leukocytes, facilitating their use in complex mass cytometry panels. Considering the synthesis of AgNP from isotopically purified silver, the usage of AgNP extends the analytical capacity of mass cytometry panels by one, prospectively two, additional parameters, suitable for the detection of cellular targets of low abundance. © 2016 International Society for Advancement of Cytometry.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Singapore 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Researcher 8 22%
Student > Master 5 14%
Other 4 11%
Professor > Associate Professor 3 8%
Other 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 36%
Biochemistry, Genetics and Molecular Biology 6 17%
Medicine and Dentistry 4 11%
Immunology and Microbiology 4 11%
Chemistry 4 11%
Other 5 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 November 2018.
All research outputs
#3,659,481
of 12,576,786 outputs
Outputs from Cytometry Part A
#265
of 830 outputs
Outputs of similar age
#84,553
of 259,896 outputs
Outputs of similar age from Cytometry Part A
#10
of 18 outputs
Altmetric has tracked 12,576,786 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 830 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 44th percentile – i.e., 44% 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 259,896 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 65% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.