TY - JOUR
AU - Wakamoto, Yuichi
AB - The fact that a unit can proliferate through growth and division is a hallmark of cell systems. This fundamental property of the cells, however, imposes technical challenges on live-cell imaging that spans many cellular generations. Firstly, proliferation of cells quickly alters the surrounding environments by consuming the nutrients and producing waste chemicals. Secondly, the number of cells in a culture increases exponentially, making cell tracking difficult. Thirdly, phenotypic states of cells are generally heterogeneous even in a genetically homogeneous clonal population; the natural selection makes the statistical analysis on time-series data of cells non-trivial. To overcome these difficulties, we have developed a method of microfluidic time-lapse microscopy that allows the acquisition of the information on single cell dynamics and detailed cellular lineage trees in controlled environments that spans over hundreds of cellular generations [1]. Furthermore, we have developed a general method for analyzing cellular dynamics on lineage trees that provides the information on the reproductivity of different phenotypic states (fitness landscapes) and on how strongly a certain phenotypic trait is correlated with cellular fitness (selection strength) [2]. We apply those measurement and analysis techniques to the study on bacterial long-term acclimation phenomenon of bacteria exposed to antibiotic drugs, and reveal the expression of the antibiotic resistance genes in single cells changes their significance and impact on cellular fitness depending on the stages of drug exposures. 1 M. Hashimoto et al.  . PNAS 113 ( 2016) 2151–3256. 2 T. Nozoe et al.  . bioRxiv ( 2016) doi: http://dx.doi.org/10.1101/069260.
TI - OB-I-4 Techniques for Measuring and Analyzing Single-Cell Histories and Lineage Trees
JF - Microscopy
DO - 10.1093/jmicro/dfw045
DA - 2016-11-01
UR - https://www.deepdyve.com/lp/oxford-university-press/ob-i-4-techniques-for-measuring-and-analyzing-single-cell-histories-7EsDTNAGu9
SP - i9
EP - i9
VL - 65
IS - suppl_1
DP - DeepDyve
ER -