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dc.contributor.authorVeronika, Merlin
dc.contributor.authorWelsch, Roy E.
dc.contributor.authorNg, Alvin
dc.contributor.authorMatsudaira, Paul T.
dc.contributor.authorRajapakse, Jagath
dc.date.accessioned2012-09-18T14:58:38Z
dc.date.available2012-09-18T14:58:38Z
dc.date.issued2011-11
dc.identifier.issn1471-2105
dc.identifier.urihttp://hdl.handle.net/1721.1/73033
dc.description.abstractBackground: Essential events of cell development and homeostasis are revealed by the associated changes of cell morphology and therefore have been widely used as a key indicator of physiological states and molecular pathways affecting various cellular functions via cytoskeleton. Cell motility is a complex phenomenon primarily driven by the actin network, which plays an important role in shaping the morphology of the cells. Most of the morphology based features are approximated from cell periphery but its dynamics have received none to scant attention. We aim to bridge the gap between membrane dynamics and cell states from the perspective of whole cell movement by identifying cell edge patterns and its correlation with cell dynamics. Results: We present a systematic study to extract, classify, and compare cell dynamics in terms of cell motility and edge activity. Cell motility features extracted by fitting a persistent random walk were used to identify the initial set of cell subpopulations. We propose algorithms to extract edge features along the entire cell periphery such as protrusion and retraction velocity. These constitute a unique set of multivariate time-lapse edge features that are then used to profile subclasses of cell dynamics by unsupervised clustering. Conclusions: By comparing membrane dynamic patterns exhibited by each subclass of cells, correlated trends of edge and cell movements were identified. Our findings are consistent with published literature and we also identified that motility patterns are influenced by edge features from initial time points compared to later sampling intervals.en_US
dc.language.isoen_US
dc.publisherSpringer (Biomed Central Ltd.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/1471-2105-12-s13-s19en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.sourceBioMed Centralen_US
dc.titleCorrelation of cell membrane dynamics and cell motilityen_US
dc.typeArticleen_US
dc.identifier.citationVeronika, Merlin et al. “Correlation of Cell Membrane Dynamics and Cell Motility.” BMC Bioinformatics 12.Suppl 13 (2011): S19. © 2011 BioMed Central Ltden_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.approverWelsch, Roy E.
dc.contributor.mitauthorWelsch, Roy E.
dc.contributor.mitauthorMatsudaira, Paul T.
dc.contributor.mitauthorRajapakse, Jagath
dc.relation.journalBMC Bioinformaticsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsVeronika, Merlin; Welsch, Roy; Ng, Alvin; Matsudaira, Paul; Rajapakse, Jagath Cen
dc.identifier.orcidhttps://orcid.org/0000-0002-9038-1622
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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