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Viral Nanoparticles for In vivo Tumor Imaging
Published on: November 16, 2012
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Specific visualization of tumor cells using upconversion nanophosphors.
E A Grebenik1, A N Generalova1, A V Nechaev2
1Shemyakin/Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya Str., 16/10, Moscow, 117997, Russia.
Acta Naturae
|January 6, 2015
Summary
Researchers developed a targeted nanoparticle construct for selective cancer cell labeling. This novel approach utilizes upconversion nanophosphors (UCNPs) and a HER2-targeting antibody fragment for improved medical diagnostics.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Molecular Biology
Background:
- Targeted constructs using photoluminescent nanoparticles are crucial for medical diagnostics.
- Upconversion nanophosphors (UCNPs) offer stable optical properties within biological tissues.
- HER2 receptor overexpression is common in several human cancers, making it a key diagnostic target.
Purpose of the Study:
- To develop a targeted two-component construct for selective labeling of HER2-overexpressing tumor cells.
- To utilize upconversion nanophosphors (UCNPs) and an anti-tumor antibody fragment for enhanced tumor cell visualization.
- To demonstrate the construct's efficacy in targeting specific cancer cell lines.
Main Methods:
- Development of a two-component construct using UCNPs and 4D5 single-chain variable fragment (scFv).
- Employment of a barnase:barstar (Bn:Bs) protein pair as a molecular adapter for self-assembly.
- Testing the construct's binding selectivity against HER2-overexpressing SK-BR-3 cells.
Main Results:
- A stable, targeted construct (4D5 scFv-Bn : UCNP-Bs) was successfully synthesized.
- The construct demonstrated high affinity and selective binding to HER2-positive SK-BR-3 human breast adenocarcinoma cells.
- The self-assembly mechanism using the Bn:Bs pair proved effective for construct formation.
Conclusions:
- The developed construct enables precise visualization of tumor cells overexpressing HER2.
- This approach offers a versatile platform for creating similar constructs for detecting various disease markers.
- The study highlights the potential of UCNP-based targeted therapies in oncology.

