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AFBI assay – Aptamer Fluorescence Binding and Internalization assay for cultured adherent cells

Overview of attention for article published in Methods, March 2016
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Article details
Title
AFBI assay – Aptamer Fluorescence Binding and Internalization assay for cultured adherent cells
Published in
Methods, March 2016
DOI 10.1016/j.ymeth.2016.03.005
Pubmed ID
Authors
Abstract

The SELEX (Systematic Evolution of Ligands by Exponential Enrichment) process allows for the enrichment of DNA or RNA aptamers from a complex nucleic acid library that are specific for a target molecule. The SELEX process has been adapted from identifying aptamers in vitro using recombinant target protein to cell-based methodologies (Cell-SELEX), where the targets are expressed on the surface of cells. One major advantage of Cell-SELEX is that the target molecules are maintained in a native confirmation. Additionally, Cell-SELEX may be used to discover novel therapeutic biomarkers by performing selections on diseased versus healthy cells. However, a caveat to Cell-SELEX is that testing of single aptamers identified in the selection is laborious, time-consuming, and expensive. The most frequently used methods to screen for aptamer binding and internalization on cells are flow cytometry and quantitative PCR (qPCR). While flow cytometry can directly assess binding of a fluorescently-labeled aptamer to a target, it requires significant starting material and is not easily scalable. qPCR-based approaches are highly sensitive but have non-negligible experiment-to-experiment variability due to the number of sample processing steps. Herein we describe a cell-based aptamer fluorescence binding and internalization (AFBI) assay. This assay requires minimal reagents and has few experimental steps/manipulations, thereby allowing for rapid screening of many aptamers and conditions simultaneously and direct quantitation of aptamer binding and internalization.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
China 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 24%
Student > Ph. D. Student 6 21%
Student > Master 4 14%
Other 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 6 21%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 31%
Agricultural and Biological Sciences 7 24%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Environmental Science 1 3%
Computer Science 1 3%
Other 3 10%
Unknown 6 21%
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 24 January 2018.
All research outputs
#24,404,930
of 29,689,648 outputs
Outputs from Methods
#2,192
of 2,623 outputs
Outputs of similar age
#242,253
of 321,080 outputs
Outputs of similar age from Methods
#45
of 53 outputs
Altmetric has tracked 29,689,648 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,623 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.