Skip to main content

Research Repository

Advanced Search

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

Cliffe, Adam; Doupé, David P.; Sung, HsinHo; Lim, Isaac Kok Hwee; Ong, Kok Haur; Cheng, Li; Yu, Weimiao

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


Authors

Adam Cliffe

HsinHo Sung

Isaac Kok Hwee Lim

Kok Haur Ong

Li Cheng

Weimiao Yu



Abstract

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.

Citation

Cliffe, A., Doupé, D. P., Sung, H., Lim, I. K. H., Ong, K. H., Cheng, L., & Yu, W. (2017). Quantitative 3D analysis of complex single border cell behaviors in coordinated collective cell migration. Nature Communications, 8, Article 14905. https://doi.org/10.1038/ncomms14905

Journal Article Type Article
Acceptance Date Feb 13, 2017
Online Publication Date Apr 4, 2017
Publication Date Apr 4, 2017
Deposit Date Aug 4, 2017
Publicly Available Date Aug 4, 2017
Journal Nature Communications
Electronic ISSN 2041-1723
Publisher Nature Research
Peer Reviewed Peer Reviewed
Volume 8
Article Number 14905
DOI https://doi.org/10.1038/ncomms14905
Public URL https://durham-repository.worktribe.com/output/1350202

Files

Published Journal Article (1.8 Mb)
PDF

Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This work is licensed under a Creative Commons Attribution 4.0
International License. The images or other third party material in this
article are included in the article’s Creative Commons license, unless indicated otherwise
in the credit line; if the material is not included under the Creative Commons license,
users will need to obtain permission from the license holder to reproduce the material.
To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Author(s) 2017





You might also like



Downloadable Citations