Quantitative 3D analysis of complex single border cell behaviors in coordinated collective cell migration

被引:25
作者
Cliffe, Adam [1 ]
Doupe, David P. [1 ]
Sung, HsinHo [1 ]
Lim, Isaac Kok Hwee [1 ]
Ong, Kok Haur [1 ]
Cheng, Li [2 ]
Yu, Weimiao [1 ]
机构
[1] ASTAR, Inst Mol & Cell Biol, Computat Bioimage Anal Unit, Singapore 138673, Singapore
[2] ASTAR, Bioinformat Inst BII, Imaging Informat Div, Singapore 138671, Singapore
来源
NATURE COMMUNICATIONS | 2017年 / 8卷
关键词
GRADIENT VECTOR FLOW; ROLLING LEUKOCYTES; SEGMENTATION; TRACKING; GUIDANCE; MICROSCOPY; REVEALS; SHAPE; MORPHOGENESIS; ALGORITHMS;
D O I
10.1038/ncomms14905
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Understanding the mechanisms of collective cell migration is crucial for cancer metastasis, wound healing and many developmental processes. Imaging a migrating cluster in vivo is feasible, but the quantification of individual cell behaviours remains challenging. We have developed an image analysis toolkit, CCMToolKit, to quantify the Drosophila border cell system. In addition to chaotic motion, previous studies reported that the migrating cells are able to migrate in a highly coordinated pattern. We quantify the rotating and running migration modes in 3D while also observing a range of intermediate behaviours. Running mode is driven by cluster external protrusions. Rotating mode is associated with cluster internal cell extensions that could not be easily characterized. Although the cluster moves slower while rotating, individual cells retain their mobility and are in fact slightly more active than in running mode. We also show that individual cells may exchange positions during migration.
引用
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页数:13
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