Cliffe, Adam and Doupé, David P. and Sung, HsinHo and Lim, Isaac Kok Hwee and Ong, Kok Haur and Cheng, Li and Yu, Weimiao (2017) 'Quantitative 3D analysis of complex single border cell behaviors in coordinated collective cell migration.', Nature communications., 8 . p. 14905.
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.
Item Type: | Article |
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Full text: | (VoR) Version of Record Available under License - Creative Commons Attribution. Download PDF (1717Kb) |
Status: | Peer-reviewed |
Publisher Web site: | https://doi.org/10.1038/ncomms14905 |
Publisher 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 |
Date accepted: | 13 February 2017 |
Date deposited: | 04 August 2017 |
Date of first online publication: | 04 April 2017 |
Date first made open access: | 04 August 2017 |
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