Single-Cell Biophysics: Measurement, Modulation, and Modeling

Single-Cell Biophysics: Measurement, Modulation, and Modeling

Poster Abstracts

80-POS Board 40 Heterogeneous Response of Lymphocytic Cells to Mitomycin-C Revealed by Microfluidic Single-Cell Time-Lapse Microscopy Akihisa Seita 1 , Yuichi Wakamoto 1,2 . 1 University of Tokyo, Bunkyo-ku, Tokyo, Japan, 2 University of Tokyo, Bunkyo-ku, Tokyo, Japan. Over the past years, single-cell analysis has revealed that cellular phenotypes are heterogeneous even for genetically identical cells. It has been also shown that at least some types of phenotypic heterogeneity contribute to adaptation of cellular population without apparent genetic mutations from bacterial cells to cancer cells. However, understanding which single-cell phenotypic states are related to growth and death of individual cells is generally difficult due to time-course fluctuation of cellular phenotypes and transitions of environmental conditions caused by the proliferation of cells. Microfluidic single-cell time-lapse microscopy is a promising technique to achieve the reliable measurements on time-course fluctuations of cellular phenotype and tight control of environmental conditions, yet such methods have been still limited to the measurements for bacterial cells. Here, we have created a microfluidics device for mammalian cells based on the “Mother machine” scheme, that have allowed the long-term tracking of single bacterial cells in controlled environments. With this device, we observed the response of single lymphocytic cells (L1210) to Mitomycin-C for five days prior to drug treatment and six days under the continuous exposure to the drug. The result showed that the cell lineages that divided more frequently before the drug exposure had lower chances of survival after the exposure, which indicates that pre-exposure growth states are correlated with the survival fates of individual cell lineages against Mitomycin- C. In addition, pre-exposure interdivision times were positively correlated between the neighboring generations (~0.6), suggesting some epigenetic factors affecting the growth characteristics of cell lineages.

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