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Rapid and sensitive phenotypic marker detection on breast cancer cells using surface-enhanced Raman scattering (SERS) imaging

Authors
Lee, SangyeopChon, HyangahLee, JiyoungKo, JuhuiChung, Bong HyunLim, Dong WooChoo, Jaebum
Issue Date
Jan-2014
Publisher
ELSEVIER ADVANCED TECHNOLOGY
Keywords
Surface-enhanced Raman scattering; SERS nano tag; Multiplex detection; Breast cancer; Cell phenotype
Citation
BIOSENSORS & BIOELECTRONICS, v.51, pp.238 - 243
Indexed
SCIE
SCOPUS
Journal Title
BIOSENSORS & BIOELECTRONICS
Volume
51
Start Page
238
End Page
243
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/24083
DOI
10.1016/j.bios.2013.07.063
ISSN
0956-5663
Abstract
We report a surface-enhanced Raman scattering (SERS)-based cellular imaging technique to detect and quantify breast cancer phenotypic markers expressed on cell surfaces. This technique involves the synthesis of SERS nano tags consisting of silica-encapsulated hollow gold nanospheres (SEHGNs) conjugated with specific antibodies. Hollow gold nanospheres (HGNs) enhance SERS signal intensity of individual particles by localizing surface electromagnetic fields through pinholes in the hollow particle structures. This capacity to enhance imaging at the level of single molecules permits the use of HGNs to detect specific biological markers expressed in living cancer cells. In addition, silica encapsulation greatly enhances the stability of nanoparticles. Here we applied a SERS-based imaging technique using SEHGNs in the multiplex imaging of three breast cancer cell phenotypes. Expression of epidermal growth factor (EGF), ErbB2, and insulin-like growth factor-1 (IGF-1) receptors were assessed in the MDA-MB-468, KPL4 and SK-BR-3 human breast cancer cell lines. SERS imaging technology described here can be used to test the phenotype of a cancer cell and quantify proteins expressed on the cell surface simultaneously. Based on results, this technique may enable an earlier diagnosis of breast cancer than is currently possible and offer guidance in treatment. (C) 2013 Elsevier B.V. All rights reserved.
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ERICA 공학대학 (DEPARTMENT OF BIONANO ENGINEERING)
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