Detection and differentiation of normal, cancerous, and metastatic cells using nanoparticle-polymer sensor arrays

Avinash Bajaj(University of Massachusetts Amherst), Oscar R. Miranda(University of Wisconsin–Madison), Ik‐Bum Kim(Georgia Institute of Technology), Ronnie L. Phillips(Georgia Institute of Technology), D. Joseph Jerry(University of Massachusetts Amherst), Uwe H. F. Bunz(Georgia Institute of Technology), Vincent M. Rotello(University of Wisconsin–Madison)
Proceedings of the National Academy of Sciences
June 24, 2009
Cited by 307Open Access
Full Text

Abstract

Rapid and effective differentiation between normal and cancer cells is an important challenge for the diagnosis and treatment of tumors. Here, we describe an array-based system for identification of normal and cancer cells based on a "chemical nose/tongue" approach that exploits subtle changes in the physicochemical nature of different cell surfaces. Their differential interactions with functionalized nanoparticles are transduced through displacement of a multivalent polymer fluorophore that is quenched when bound to the particle and fluorescent after release. Using this sensing strategy we can rapidly (minutes/seconds) and effectively distinguish (i) different cell types; (ii) normal, cancerous and metastatic human breast cells; and (iii) isogenic normal, cancerous and metastatic murine epithelial cell lines.


Related Papers

No related papers found

Powered by citation graph analysis