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dc.contributor.authorLee, Rachel M.
dc.contributor.authorYue, Haicen
dc.contributor.authorRappel, Wouter-Jan
dc.contributor.authorLosert, Wolfgang
dc.date.accessioned2017-04-12T17:46:08Z
dc.date.available2017-04-12T17:46:08Z
dc.date.issued2017
dc.identifierdoi:10.13016/M2855R
dc.identifier.urihttp://hdl.handle.net/1903/19190
dc.description.abstractCell migration plays an important role in a wide variety of biological processes and can incorporate both individual cell motion and collective behavior. The emergent properties of collective migration are receiving increasing attention as collective motion’s role in diseases such as metastatic cancer becomes clear. Yet, how individual cell behavior influences large-scale, multi-cell collective motion remains unclear. In our study, we provided insight into the mechanisms behind collective migration by studying cell migration in a spreading monolayer of epithelial MCF10A cells. We quantify migration using particle image velocimetry and find that cell groups have features of motion that span multiple length scales. Comparing our experimental results to a model of collective cell migration, we find that cell migration within the monolayer can be affected in qualitatively different ways by cell motion at the boundary, yet it is not necessary to introduce leader cells at the boundary or specify other large-scale features to recapitulate this large-scale phenotype in simulations. Instead, in our model, collective motion can be enhanced by increasing the overall activity of the cells or by giving the cells a stronger coupling between their motion and polarity. This suggests that investigating the activity and polarity persistence of individual cells will add insight into the collective migration phenotypes observed during development and disease. This dataset provides microscopy images and analysis to support the article in the Journal of the Royal Society Interface describing these migration behaviors.en_US
dc.description.sponsorshipThis work was carried out with financial support to RML and WL from a NSF-Physics of Living Systems grant (PHY1205965). RML was additionally supported by the JCM Foundation through an ARCS/MWC Scholar Award. WJR and HY were supported by NIH Grant No. P01 GM078586 and NSF Grant No. DMS 1309542. The raw images analyzed in this work have been described previously [1] and were collected with funding and support from the Intramural Research Program of the Center for Cancer Research, NCI, National Institutes of Health. [1] Lee RM, Kelley DH, Nordstrom KN, Ouellette NT, Losert W. Quantifying stretching and rearrangement in epithelial sheet migration. New J Phys. 2013;15(2):25036.en_US
dc.language.isoen_USen_US
dc.subjectcollective migrationen_US
dc.subjectepithelial cellsen_US
dc.subjectmodelingen_US
dc.subjectbiophysicsen_US
dc.titleData from: Inferring single cell behavior from large-scale epithelial sheet migration patternsen_US
dc.typeDataseten_US
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtPhysicsen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us


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