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

Adam Cliffe, David P. Doupé, HsinHo Sung, Isaac Kok Hwee Lim, Kok Haur Ong, Li Cheng and Weimiao Yu ()
Additional contact information
Adam Cliffe: Institute of Molecule and Cell Biology (IMCB), Computational Bioimage Analysis Unit, A*STAR
David P. Doupé: Institute of Molecule and Cell Biology (IMCB), Computational Bioimage Analysis Unit, A*STAR
HsinHo Sung: Institute of Molecule and Cell Biology (IMCB), Computational Bioimage Analysis Unit, A*STAR
Isaac Kok Hwee Lim: Institute of Molecule and Cell Biology (IMCB), Computational Bioimage Analysis Unit, A*STAR
Kok Haur Ong: Institute of Molecule and Cell Biology (IMCB), Computational Bioimage Analysis Unit, A*STAR
Li Cheng: Bioinformatics Institute (BII), A*STAR
Weimiao Yu: Institute of Molecule and Cell Biology (IMCB), Computational Bioimage Analysis Unit, A*STAR

Nature Communications, 2017, vol. 8, issue 1, 1-13

Abstract: 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.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/ncomms14905 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms14905

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/ncomms14905

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().