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Biology subjects

Aslan, M. K.

Publications and source records attributed to Aslan, M. K..

2 recordsLinked to original sources

Viscoelastic Deformability Cytometry: Ultra-high Throughput Platform for Mechanical Phenotyping of Cells in Liquid and Solid Biopsies

Due to the differences in mechanical properties between cancer cells and their benign counterparts, the mechanical characteristics of cells have emerged as a significant feature in diagnosing cancer. Consequently, measuring cell deformability as a means of mechanical phenotyping is promising for both the detection and classification of the disease. However, performing high-throughput single-cell deformability measurements on liquid or solid tissue biopsies remains a significant challenge within a clinical setting. Herein, we introduce an ultra-high throughput viscoelastic-based microfluidic platform to measure the cell mechanical properties at rates of up to 100,000 cells/s. Thanks to the viscoelastic property of the fluid, cells are focused and deformed within the same platform obviating the need for any sheath fluid. We used the presented platform for cell phenotyping in both liquid and solid tumor biopsies, such as identification of malignant lymphocytes in peripheral blood samples and glioblastoma-type cell classification from solid tumor samples. The presented platform has the potential to open new opportunities in the assessment of cancer, enable precise mechanical profiling of rare cells, and facilitate sensitive diagnostic applications.

bioengineering↗

An Image-Guided Microfluidic System for Single-Cell Lineage Tracking

Cell lineage tracking is a long-standing and unresolved problem in biology. Microfluidic technologies have the potential to address this problem, by virtue of their ability to manipulate and process single-cells in a rapid, controllable and efficient manner. Indeed, when coupled with traditional imaging approaches, microfluidic systems allow the experimentalist to follow single-cell divisions over time. Herein, we present a valve-based microfluidic system able to probe the decision-making processes of single-cells, by tracking their lineage over multiple generations. The system operates by trapping single-cells within growth chambers, allowing the trapped cells to grow and divide, isolating sister cells after a user-defined number of divisions and finally extracting them for downstream transcriptome analysis. The platform incorporates multiple cell manipulation operations, image processing-based automation for cell loading and growth monitoring, reagent addition and device washing. To demonstrate the efficacy of the microfluidic workflow, 6C2 (chicken erythroleukemia) and T2EC (primary chicken erythrocytic progenitors) cells are tracked inside the microfluidic device over two generations, with a cell viability rate in excess of 90%. Sister cells are successfully isolated after division and extracted within a 500 nL volume, which is compatible with downstream single-cell RNA sequencing analysis.

cell biology↗