z-logo
open-access-imgOpen Access
Quantitative 3D analysis of complex single border cell behaviors in coordinated collective cell migration
Author(s) -
Adam Cliffe,
David P. Doupé,
Hsin-Ho Sung,
Isaac Kok Hwee Lim,
Kok Haur Ong,
Li Cheng,
Weimiao Yu
Publication year - 2017
Publication title -
nature communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.559
H-Index - 365
ISSN - 2041-1723
DOI - 10.1038/ncomms14905
Subject(s) - cluster (spacecraft) , cell migration , chaotic , cell , computer science , mode (computer interface) , dynamics (music) , biological system , physics , microbiology and biotechnology , biology , artificial intelligence , human–computer interaction , computer network , genetics , acoustics
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom