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Correlating Velocity Patterns With Spatial Dynamics In Glioma Cell Migration
Authors:Thomas?S.?Deisboeck  author-information"  >  author-information__contact u-icon-before"  >  mailto:deisboec@helix.mgh.harvard.edu"   title="  deisboec@helix.mgh.harvard.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Tim?Demuth,Yuri?Mansury
Affiliation:(1) Complex Biosystems Modeling Laboratory, HST-Biomedical Engineering Center, Massachusetts Institute of Technology, Cambridge, MA, 02139;(2) Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Massachusetts General Hospital, Charlestown, MA, 02129;(3) Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, 85004;(4) Complex Biosystems Modeling Laboratory, Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital-East, 2301, Bldg. 149, 13th Street, Charlestown, MA, 02129
Abstract:Highly malignant neuroepithelial tumors are known for their extensive tissue invasion. Investigating the relationship between their spatial behavior and temporal patterns by employing detrended fluctuation analysis (DFA), we report here that faster glioma cell motility is accompanied by both greater predictability of the cells' migration velocity and concomitantly, more directionality in the cells' migration paths. Implications of this finding for both experimental and clinical cancer research are discussed.
Keywords:Glioma cell migration  Detrended fluctuations analysis
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