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Quantitative 3D analysis of complex single border cell behaviors in coordinated collective cell migration
Adam Cliffe1, David P Doupé1, HsinHo Sung1
1Institute of Molecule and Cell Biology (IMCB), Computational Bioimage Analysis Unit, A*STAR, Singapore 138673, Singapore.
Nature Communications
|April 5, 2017
Summary
This study introduces CCMToolKit, an image analysis tool to quantify collective cell migration in Drosophila. It reveals distinct running and rotating migration modes, with cells more active during rotation.
Area of Science:
- Developmental Biology
- Cell Biology
- Cancer Research
Background:
- Collective cell migration is vital for development, healing, and metastasis.
- Quantifying individual cell behaviors during in vivo migration is challenging.
Purpose of the Study:
- To develop and apply an image analysis toolkit (CCMToolKit) for quantifying collective cell migration.
- To characterize distinct migration modes and individual cell behaviors within a migrating cluster.
Main Methods:
- Utilized CCMToolKit for 3D image analysis of the Drosophila border cell system.
- Quantified cell movement patterns, including running and rotating modes.
- Analyzed cluster dynamics and individual cell extensions during migration.
Main Results:
- Identified and quantified "running" and "rotating" migration modes, along with intermediate behaviors.
- Running mode is characterized by external protrusions, while rotating mode involves internal cell extensions.
- Individual cells exhibit higher mobility and activity during rotating migration compared to running migration.
- Demonstrated that cells can exchange positions within the migrating cluster.
Conclusions:
- CCMToolKit provides a robust method for analyzing complex collective cell migration.
- Distinct migration modes influence overall cluster movement and individual cell behavior.
- Understanding these dynamics offers insights into developmental processes, wound healing, and cancer metastasis.