Release Date: 2021-06-30
Publication DOI: 10.1038/s41598-021-89130-6
Data DOI: 10.17867/10000163
License: CC BY 4.0
PubMed ID: 33986306
PMC ID: PMC8119502
Recent evidence suggests that groups of cells are more likely to form clinically dangerous metastatic tumors, emphasizing the importance of understanding mechanisms underlying collective behavior. The emergent collective behavior of migrating cell sheets in vitro has been shown to be disrupted in tumorigenic cells but the connection between this behavior and in vivo tumorigenicity remains unclear. We use particle image velocimetry to measure a multidimensional migration phenotype for genetically defined human breast epithelial cell lines that range in their in vivo behavior from non-tumorigenic to aggressively metastatic. By using cells with controlled mutations, we show that PTEN deletion enhances collective migration, while Ras activation suppresses it, even when combined with PTEN deletion. These opposing effects on collective migration of two mutations that are frequently found in patient tumors could be exploited in the development of novel treatments for metastatic disease. Our methods are based on label-free phase contrast imaging, and thus could easily be applied to patient tumor cells. The short time scales of our approach do not require potentially selective growth, and thus in combination with label-free imaging would allow multidimensional collective migration phenotypes to be utilized in clinical assessments of metastatic potential.
Lee RM, Vitolo MI, Losert W, Martin SS
idr0111-lee-cellmigration/experimentA ()
idr0111-lee-cellmigration/experimentB ()
BioFile Finder
BioFile Finder is a tool for filtering, sorting and grouping tabular data. Each table below is loaded from IDR as a Parquet file, with each row representing an image. Images can be selected in BioFile Finder and the "Download" link will open them in the IDR viewer.
idr0111-lee-cellmigration ( , parquet: )
experimentA ( , parquet: )
experimentB ( , parquet: )
To download original image files in your browser, you can access original data.
Download as JSON.
For more download options, including bulk download using Globus or FTP clients, see the IDR Data download page.
Copyright: Lee et al
Data Publisher: University of Dundee
© 2016-2026 University of Dundee & Open Microscopy Environment. Creative Commons Attribution 4.0 International License.
OMERO is distributed under the terms of the GNU GPL. For more information, visit openmicroscopy.org