Microfluidic device performing on flow study of serial cell-cell interactions of two cell populations.

In this study we present a novel microfluidic hydrodynamic trapping device to probe the cell-cell interaction between all cell samples of two distinct populations. We have exploited an hydrodynamic trapping method using microfluidics to immobilize a batch of cells from the first population at specific locations, then relied on hydrodynamic filtering principles, the flowing cells from the second cell population are placed in contact with the trapped ones, through a roll-over mechanism. The rolling cells interact with the serially trapped cells one after the other. The proposed microfluidic phenomenon was characterized with beads. We have shown the validity of our method by detecting the capacity of olfactory receptors to induce adhesion of cell doublets overexpressing these receptors. We report here the first controlled on-flow single cell resolution cell-cell interaction assay in a microfluidic device for future application in cell-cell interactions-based cell library screenings.

Label-Free Electric Monitoring of Human Cancer Cells as a Potential Diagnostic Tool.

Dielectrophoresis is widely used for cell characterization, and the exerted force on cells depends on the difference of polarizability between the latter and the surrounding medium. This physical phenomenon is translated by the real part of the Clausius-Mossotti factor. It is mostly modeled from the imaginary part, measured by electrorotation. The method described here measures experimentally the real part of the Clausius-Mossotti factor. It relies on the cell velocity when submitted to pure dielectrophoresis, and it was conducted on several human cell lines, at different times. A variety of cell lines was evaluated, from different organs or representative of different stages of cancer, with promising findings for early cancer detection.

Involvement of membrane proteins and ion channels on the self-rotation of human cells in a non-rotating AC electric field.

Dielectrophoresis is a force that has been exploited in microsystems for label-free characterization and separation of cells, when their electrical signature is known. However, the polarization effect of cells at the transmembrane protein level is not well established. In this work, we have use the self-rotation effect of cells in a non-rotating field, known as the "Quincke effect," in order to measure the maximum rotation frequency (frotmax ) of different cell populations when modifying the composition of their membrane. We investigated the influence of active ionic transportation of membrane protein concentration on frotmax of HEK cells. Our results show that ionic transportation is responsible for the reduction of conductivity within the cytoplasm, which results in higher frotmax . However, the influence of the concentration of proteins in the membrane, achieved by silencing gene expression in cancer cells, changes significantly frotmax , which is not explained by the changes of ionic conductivity within the cell.

Comprehensive analysis of human cells motion under an irrotational AC electric field in an electro-microfluidic chip.

AC electrokinetics is a versatile tool for contact-less manipulation or characterization of cells and has been widely used for separation based on genotype translation to electrical phenotypes. Cells responses to an AC electric field result in a complex combination of electrokinetic phenomena, mainly dielectrophoresis and electrohydrodynamic forces. Human cells behaviors to AC electrokinetics remain unclear over a large frequency spectrum as illustrated by the self-rotation effect observed recently. We here report and analyze human cells behaviors in different conditions of medium conductivity, electric field frequency and magnitude. We also observe the self-rotation of human cells, in the absence of a rotational electric field. Based on an analytical competitive model of electrokinetic forces, we propose an explanation of the cell self-rotation. These experimental results, coupled with our model, lead to the exploitation of the cell behaviors to measure the intrinsic dielectric properties of JURKAT, HEK and PC3 human cell lines.