Collective dynamics over long time scales and large length scales reveals distinct cell migration phenotypes
POSTER
Abstract
In this study, we investigate multiple length and time scales in the collective migration of cell sheets and show that particle image velocimetry (PIV) based measurements yield insight into biological mechanisms. Comparing experimental PIV flow fields from migrating cells to the behavior of simulated cell groups, we connect individual cell properties to collective behavior over the millimeter-scale of the cell monolayer. We find that cell migration at the boundary can affect migration within the monolayer without the need to specify large-scale features in the simulations. In addition to tissue-scale trends in collective behavior, migrating cells have localized dynamic features which can change over multiple time scales. We developed a set of measurement techniques to extract multiple features of collective motion, and apply these techniques to both non-malignant and tumorigenic breast epithelial cells.
*This work was supported by the JCM Foundation through an ARCS/MWC Scholar Award to R. Lee. R. Lee and W. Losert acknowledge NSF grant PHY1205965. W. Rappel and H. Yue were supported by NIH Grant No. P01 GM078586 and NSF Grant No. DMS 1309542. This research was supported in part by the Intramural Research Program of the Center for Cancer Research, NCI, National Institutes of Health.
Presenters
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Rachel Lee
- Univ of Maryland-College Park