Evidence map›Paper›PMID 20517476›Full record

ArticleInternational journal of nanomedicine2010

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

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

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Human virus detection with graphene-based materials.Biosensors & bioelectronics · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Changhyun RohRadiation Research Division for Biotechnology, Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Sinjeong-dong, Jeongeup, Jeonbuk, South Korea. chroh@kaeri.re.kr
Ho-Young Lee
Sang-Eun Kim
Sung-Kee Jo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Quantum DotsBiosensing TechniquesEquipment DesignEquipment Failure AnalysisNanoparticlesProtein Array AnalysisReproducibility of ResultsRNARNA-Dependent RNA PolymeraseSensitivity and SpecificityViral Nonstructural ProteinsNS-5 protein, hepatitis C virusRNARNA-Dependent RNA PolymeraseViral Nonstructural Proteinsbiochiphepatitis C virusquantum dotsRNA oligonucleotideviral protein

Identifiers

PMID20517476
PMCPMC2875725

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.