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https://doi.org/10.1038/ncomms14905
Title: | Quantitative 3D analysis of complex single border cell behaviors in coordinated collective cell migration | Authors: | Cliffe, A Doupé, D.P Sung, H Lim, I.K.H Ong, K.H Cheng, L Yu, W |
Keywords: | cancer cells and cell components developmental biology fly genetic marker three-dimensional modeling cell function cell migration Drosophila human human cell image analysis insect cell culture motion nonhuman quantitative study running animal cell motion cell tracking confocal microscopy cytology female image processing oocyte ovary physiology procedures rotation three dimensional imaging Animals Cell Movement Cell Tracking Drosophila Female Image Processing, Computer-Assisted Imaging, Three-Dimensional Microscopy, Confocal Oocytes Ovary Rotation |
Issue Date: | 2017 | Publisher: | Nature Publishing Group | 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 : 14905. ScholarBank@NUS Repository. https://doi.org/10.1038/ncomms14905 | Rights: | Attribution 4.0 International | 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. © 2017 The Author(s). | Source Title: | Nature Communications | URI: | https://scholarbank.nus.edu.sg/handle/10635/179724 | ISSN: | 2041-1723 | DOI: | 10.1038/ncomms14905 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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