Distinguishing cancer cell lines at asingle living cell level via detection of sialic acid by dual-channel plasmonic imaging and by using a SERS-microfluidic droplet platform.

Abstract

A high-throughput, dual-channel single cell analytical method is described for the detection of sialic acid (SA) on single cell based on the use of microfluidic droplets integrated with plasmonic imaging and surface-enhanced Raman spectroscopy (SERS) with theassistance of a multifunctional metal nanoparticle-based probe. The multifunctional plasmonic nanoprobe was prepared by modifying silver nanoparticles (AgNPs) with 4-mercaptophenylboronic acid (MPBA) that both warrants SA recognition and acts as a Raman reporter. This nanoprobe is a high-contrast indicator under bright field imaging due to the strong energy loss feature of AgNPs, and also owns possesses astrong SERS enhancement capability toward MPBA. Cells incubated with the plasmonic nanoprobes were isolated in water-in-oil droplets and then were re-dispersed in a chamber array chip. High-precision profiles of SA on asingle cell in one droplet were obtained by the bright field imaging and imageprocessing. The SA expression levels on different cell lines (MCF-7, HepG2, SGC and BNL.CL2) traced by SERS spectroscopy were compared. The statistical data among different cell lines confirm that the SA expression levels on cancer cells are much higher than that on normal cells. Single cell analysis further revealed that the cell-to-cell variations are more obvious in cancer cell lines. This study provides a valuable tool for understanding glycan-related biochemical processes. Graphical abstract A high-throughput, dual-channel microfluidic droplet platform succeeded in distinguishing different cancer cell lines at single living cell level integrated with plasmonic imaging and surface-enhanced Raman spectroscopy with assistance of a multifunctional metal nanoparticle-based probe.