A Practical Method for Single Cell Isolation and Analysis by RT-qPCR and Fluorescence Microscopy

Single cell heterogeneity plays an important role in the onset and progression of a variety of disease pathologies. One of the most notable examples of the impact of heterogeneity in the complexity of a disease is cancer. Traditionally, molecular analyses on cancer-related samples have been performed on bulk populations of cells, with the resultant data only representative of an average of the population, thereby concealing potentially relevant information about individual cells. Performing these studies at the single cell level is proposed to address this issue. However, current methods for the isolation and analysis of single cells often require specialized and expensive equipment that may be prohibitive to labs wishing to perform such analyses. Herein, a method for the isolation and gene expression analysis of single cells is described that (1) relies only on readily available, inexpensive materials, (2) is compatible with phase and fluorescent microscopy, and (3) allows for the ability to track specific cells throughout all measurements. This method utilizes random seeding of single cells on 72-well Terasaki plates (also called microtest plates) that have 20 µl, optically clear flat-bottomed wells in order to circumvent the need for specific hardware for cell isolation. Suspensions of the Barrett’s esophagus epithelial cell line CP-D stably expressing turboGFP and a related, GFP-negative BE cell line, CP-A, were prepared, seeded at a concentration of approximately 1-2 cells/well and incubated overnight. Wells containing single cells were visually identified using phase-contrast and fluorescent microscopy. Single cells were then lysed directly in the well, total RNA was isolated, and RT-qPCR was performed. RT-qPCR results reflected the ability to distinguish between turboGFP-expressing and non-expressing cells that matched previous identification by microscopy. These results indicate that this is a convenient and cost-effective method for studying gene expression in single cells.