Abstract

The rapid qualitative assessment of surface markers on cancer cells can allow for point-of-care prediction of patient response to various cancer drugs. Preclinical studies targeting cells with an antibody to “activated” matriptase conjugated to a potent toxin show promise as a selective treatment for a variety of solid tumors. In this paper, we implemented a novel technique for electrical detection of proteins on surfaces of cancer cells using multi-frequency microfluidic impedance cytometry. The biosensor, consists of two gold microelectrodes on a glass substrate embedded in a PDMS microfluidic channel, is used in conjugation with immuno-magnetic separation of cancer cells, and is capable of differentiating between bare magnetic beads, cancer cells and bead-cell aggregates based on their various impedance and frequency responses. We demonstrated proof-of-concept based on detection of “activated” matriptase proteins on the surface of cultured Mantle cells.

Details

Title
Rapid Assessment of Surface Markers on Cancer Cells Using Immuno-Magnetic Separation and Multi-frequency Impedance Cytometry for Targeted Therapy
Author
Lin Zhongtian 1 ; Lin Siang-Yo 2 ; Xie Pengfei 1 ; Chen-Yong, Lin 3 ; Rather, Gulam M 2   VIAFID ORCID Logo  ; Bertino, Joseph R 2 ; Javanmard Mehdi 4 

 Rutgers University New Brunswick; Department of Electrical and Computer Engineering, New Brunswick, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796) 
 Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796) 
 Georgetown University, School of Medicine, Washington, USA (GRID:grid.213910.8) (ISNI:0000 0001 1955 1644) 
 Rutgers University New Brunswick; Department of Electrical and Computer Engineering, New Brunswick, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796); Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2359372675
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.