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Protein fishing from single live cells

Overview of attention for article published in Journal of Nanobiotechnology, September 2018
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Title
Protein fishing from single live cells
Published in
Journal of Nanobiotechnology, September 2018
DOI 10.1186/s12951-018-0395-5
Pubmed ID
Authors

Elaheh Shekaramiz, Rupak Doshi, H. Kumar Wickramasinghe

Abstract

Intracellular protein and proteomic studies using mass spectrometry, imaging microscopy, flow cytometry, or western blotting techniques require genetic manipulation, cell permeabilization, and/or cell lysis. We present a biophysical method that employs a nanoaspirator to 'fish' native cytoplasmic or nuclear proteins from single mammalian cells, without compromising cell viability, followed by ex cellulo quantitative detection. Our work paves the way for spatiotemporally-controlled, quantitative, live, single-cell proteomics.

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 35%
Student > Doctoral Student 2 12%
Student > Ph. D. Student 1 6%
Professor > Associate Professor 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 5 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 24%
Chemistry 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Medicine and Dentistry 1 6%
Immunology and Microbiology 1 6%
Other 2 12%
Unknown 6 35%
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 27 November 2018.
All research outputs
#20,533,292
of 23,103,436 outputs
Outputs from Journal of Nanobiotechnology
#1,261
of 1,456 outputs
Outputs of similar age
#293,883
of 337,560 outputs
Outputs of similar age from Journal of Nanobiotechnology
#22
of 22 outputs
Altmetric has tracked 23,103,436 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 1,456 research outputs from this source. They receive a mean Attention Score of 3.5. 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 337,560 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 22 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.