Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions.
Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions.
复制标题
DOI:
10.1016/j.isci.2018.08.015
复制
发表时间:
2018-10-26
期刊:
影响因子:
5.8
通讯作者:
Martin SS
中科院分区:
文献类型:
--
作者:
Bailey PC;Lee RM;Vitolo MI;Pratt SJP;Ory E;Chakrabarti K;Lee CJ;Thompson KN;Martin SS
The mammosphere assay has become widely employed to quantify stem-like cells in a population. However, the problem is there is no standard protocol employed by the field. Cell seeding densities of 1,000 to 100,000 cells/mL have been reported. These high densities lead to cellular aggregation. To address this, we have individually tracked 1,127 single MCF-7 and 696 single T47D human breast tumor cells by eye over the course of 14 days. This tracking has given us detailed information for the commonly used endpoints of 5, 7, and 14 days that is unclouded by cellular aggregation. This includes mean sphere sizes, sphere-forming efficiencies, and a well-defined minimum size for both lines. Importantly, we have correlated early cell division with eventual sphere formation. At 24 hr post seeding, we can predict the total spheres on day 14 with 98% accuracy in both lines. This approach removes cell aggregation and potentially shortens a 5- to 14-day assay to a 24 hours. Single-cell tracking removes confounding aggregation from the mammosphere assay Tracking reveals sphere-forming efficiencies much higher than commonly reported True clonal spheres are smaller than commonly reported At 24 hours, tracking can predict total day 14 spheres with 98% accuracy Biology Experimental Methods; Cancer
登录
查看更多内容
影响因子:
10.5
作者:
Dontu, G;Abdallah, WM;Wicha, MS
通讯作者:
Wicha, MS
影响因子:
3.8
作者:
Gu, Wenyi;Prasadam, Indira;Yu, Chengzhong
通讯作者:
Yu, Chengzhong
DOI:
10.1186/bcr2106
发表时间:
2008
期刊:
Breast cancer research : BCR
影响因子:
--
作者:
Grimshaw MJ;Cooper L;Papazisis K;Coleman JA;Bohnenkamp HR;Chiapero-Stanke L;Taylor-Papadimitriou J;Burchell JM
通讯作者:
Burchell JM
影响因子:
3.7
作者:
Morrison, Brian J.;Hastie, Marcus L.;Lopez, J. Alejandro
通讯作者:
Lopez, J. Alejandro
影响因子:
--
作者:
Niit, Maximilian;Hoskin, Victoria;Raptis, Leda
通讯作者:
Raptis, Leda