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

Research output: Contribution to journalArticle

14 Citations (Scopus)

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 ProLinkerTM 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 μg 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.

Original languageEnglish
Pages (from-to)323-329
Number of pages7
JournalInternational Journal of Nanomedicine
Volume5
Issue number1
StatePublished - 27 Apr 2010

Fingerprint

Oligonucleotides
Viral Proteins
Quantum Dots
RNA
Nanoparticles
Semiconductor quantum dots
Proteins
Viruses
Biochips
Hepacivirus
Amines
Glass
Viral Nonstructural Proteins
Immobilized Proteins
Covalent bonds
Chronic Hepatitis
Amides
Liver
Limit of Detection
Liver Diseases

Keywords

  • Biochip
  • Hepatitis C virus
  • Quantum dots
  • RNA oligonucleotide
  • Viral protein

Cite this

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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 ProLinkerTM 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 μg 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.",
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A highly sensitive and selective viral protein detection method based on RNA oligonucleotide nanoparticle. / Roh, Changhyun; Lee, Ho Young; Kim, Sang Eun; Jo, Sung Kee.

In: International Journal of Nanomedicine, Vol. 5, No. 1, 27.04.2010, p. 323-329.

Research output: Contribution to journalArticle

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