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Early and accurate diagnosis and treatment of cancer depend on rapid, sensitive, and selective detection of tumor cells. Current diagnosis of cancers, especially leukemia, relies on histology and flow cytometry using single dye-labeled antibodies. However, this combination may not lead to high signal output, which can hinder detection, especially when the probes have relatively weak affinities or when the receptor is expressed in a low concentration on the target cell surface. To solve these problems, we have developed a novel method for sensitive and rapid detection of cancer cells using dye-doped silica nanoparticles (NPs) which increases detection sensitivity in flow cytometry analyses between 10- and 100-fold compared to standard methods. Our NPs are ~60 nm in size and can encapsulate thousands of individual dye molecules within their matrix. We have extensively investigated surface modification strategies in order to make the NPs suitable for selective detection of cancer cells using flow cytometry. The NPs are functionalized with polyethylene glycol (PEG) to prevent nonspecific interactions and with neutravidin to allow universal binding with biotinylated molecules. By virtue of their reliable and selective detection of target cancer cells, these NPs have demonstrated their promising usefulness in conventional flow cytometry. Moreover, they have shown low background signal, high signal enhancement, and efficient functionalization, either with antibody- or aptamer-targeting moieties.


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Highly Fluorescent Dye-Doped Silica Nanoparticles Increase Flow Cytometry Sensitivity for Cancer Cell Monitoring

Show Author's information M. -Carmen EstévezMeghan B. O’DonoghueXiaolan ChenWeihong Tan( )
Center for Research at the Bio/Nano InterfaceDepartments of Chemistry and Department of Physiology and Functional GenomicsShands Cancer Center and UF Genetics InstituteMcKnight Brain InstituteUniversity of FloridaGainesvilleFlorida32611-7200USA

Abstract

Early and accurate diagnosis and treatment of cancer depend on rapid, sensitive, and selective detection of tumor cells. Current diagnosis of cancers, especially leukemia, relies on histology and flow cytometry using single dye-labeled antibodies. However, this combination may not lead to high signal output, which can hinder detection, especially when the probes have relatively weak affinities or when the receptor is expressed in a low concentration on the target cell surface. To solve these problems, we have developed a novel method for sensitive and rapid detection of cancer cells using dye-doped silica nanoparticles (NPs) which increases detection sensitivity in flow cytometry analyses between 10- and 100-fold compared to standard methods. Our NPs are ~60 nm in size and can encapsulate thousands of individual dye molecules within their matrix. We have extensively investigated surface modification strategies in order to make the NPs suitable for selective detection of cancer cells using flow cytometry. The NPs are functionalized with polyethylene glycol (PEG) to prevent nonspecific interactions and with neutravidin to allow universal binding with biotinylated molecules. By virtue of their reliable and selective detection of target cancer cells, these NPs have demonstrated their promising usefulness in conventional flow cytometry. Moreover, they have shown low background signal, high signal enhancement, and efficient functionalization, either with antibody- or aptamer-targeting moieties.

Keywords: aptamer, Silica nanoparticle, flow cytometry, polyethylene glycol, cell detection, fluorophore

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Received: 18 January 2009
Revised: 12 March 2009
Accepted: 16 March 2009
Published: 01 June 2009
Issue date: June 2009

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© Tsinghua University Press and Springer-Verlag. This article is published with open access at Springerlink.com 2009

Acknowledgements

Acknowledgements

This work was supported by the NIH National CancerInstitute, R21CA122648, ONR N00014-07-1-0982, andthe State of Florida Center of Excellence. M. -C. E.acknowledges financial support from the Departmentd'Universitats, Recerca i Societat de la Informació dela Generalitat de Catalunya, Spain.

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