Optical Sensing Platform for Detection and Sorting Cancer Cells
Paper ID : 1254-ICNS
Arash Ramedani *1, Abdolreza Simchi2, Omid Sabzevari3
1Institute for Nanoscience and Nanotechnology, Sharif University of Technology, Azadi Avenue, P.O. Box 11365-8639, Tehran, Iran
2Department of Materials Science and Engineering, Sharif University of Technology, Tehran, 14588, Iran
3Department of Toxicology & Pharmacology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran 1416753955, Iran
One of the major limitations of traditional fluorescence-activated cell sorting (FACS) is its inability to compartmentalize single cancer cells. Sorting of cancer cells in microdroplets significantly influences our ability to the analysis of cancer cell proteins. Here, we adapted a previously developed microfluidic device by the Mazutis group as a 3D in vitro model to sorted MCF-7 cancer cells on a chip. We present a modification of GQD bead for high-throughput analysis and sorting of single cancer cells. We elaborate a binding assay as an example of this approach for detecting MCF-7 cancer cell lines that have PLAC1 antibodies. PLAC1 is detected after only 15 min by co-compartmentalizing single MCF-7 cells, a fluorescent optical bead coated with PLAC1 antibodies in 50-pl droplets. The fluorescent GQD beads capture cancer cells with PLAC1 antibodies, and when the cancer cells bind to these beads, the fluorescence emission from that drop is increased, producing a detectable fluorescence signal that enables droplet sorting at 200 Hz as well as cell enrichment. The droplet-based microfluidics system described is easily adapted for screening other intracellular, cell-surface or secreted proteins and for quantifying catalytic or regulatory activities.
Microfluidics; Graphene quantum dots; Cancer cell sorting; Fluorescent optical bead
Status : Abstract Accepted (Poster Presentation)