↓ Skip to main content

Dove Medical Press

A highly sensitive and selective viral protein detection method based on RNA oligonucleotide nanoparticle

Overview of attention for article published in International Journal of Nanomedicine, April 2010
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
27 Mendeley
Title
A highly sensitive and selective viral protein detection method based on RNA oligonucleotide nanoparticle
Published in
International Journal of Nanomedicine, April 2010
DOI 10.2147/ijn.s10134
Pubmed ID
Authors

Changhyun Roh, Ho-Young Lee, Sang-Eun Kim, Sung-Kee Jo

Abstract

Globally, approximately 170 million people (representing approximately 3% of the population worldwide), are infected with hepatitis C virus (HCV) and at risk of serious liver disease, including chronic hepatitis. We propose a new quantum dots (QDs)-supported RNA oligonucleotide approach for the specific and sensitive detection of viral protein using a biochip. This method was developed by immobilizing a HCV nonstructural protein 5B (NS5B) on the surface of a glass chip via the formation of a covalent bond between an amine protein group and a ProLinker glass chip. The QDs-supported RNA oligonucleotide was conjugated via an amide formation reaction from coupling of a 5'-end-amine-modified RNA oligonucleotide on the surface of QDs displaying carboxyl groups via standard EDC coupling. The QDs-conjugated RNA oligonucleotide was interacted to immobilized viral protein NS5B on the biochip. The detection is based on the variation of signal of QDs-supported RNA oligonucleotide bound on an immobilized biochip. It was demonstrated that the value of the signal has a linear relationship with concentrations of the HCV NS5B viral protein in the 1 microg mL(-1) to 1 ng mL(-1) range with a detection limit of 1 ng mL(-1). The major advantages of this RNA-oligonucleotide nanoparticle assay are its good specificity, ease of performance, and ability to perform one-spot monitoring. The proposed method could be used as a general method of HCV detection and is expected to be applicable to other types of diseases as well.

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

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Singapore 1 4%
Canada 1 4%
Unknown 24 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Researcher 6 22%
Professor > Associate Professor 3 11%
Student > Master 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 5 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 30%
Engineering 4 15%
Chemistry 3 11%
Medicine and Dentistry 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 7%
Unknown 6 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 13 October 2014.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from International Journal of Nanomedicine
#2,470
of 4,123 outputs
Outputs of similar age
#85,549
of 103,521 outputs
Outputs of similar age from International Journal of Nanomedicine
#13
of 15 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,123 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 28th percentile – i.e., 28% 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 103,521 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 15 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.