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10.1088/2057-1739/2/2/025001 http://scihub22266oqcxt.onion/10.1088/2057-1739/2/2/025001 C5895103!5895103!29657838     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Converg+Sci+Phys+Oncol 2016 ; 2 (2): ä Nephropedia Template TP {{tp|p=29657838|t=2016. Collective cell migration over long time scales reveals distinct phenotypes |pdf=|usr=}}{{29657838}} gab.com Text Collective cell migration over long time scales reveals distinct phenotypes JO: Converg Sci Phys Oncol http://www.kidney.de/pget.php?&tw=1&pmid=29657838 #FOAvip Introduction: Migratory phenotypes of metastasizing tumor cells include single and collective cell migration. While migration of tumor cells is generally less cooperative than that of normal epithelial cells, our understanding of precisely how they differ in long time behavior is incomplete. Objectives: We measure in a model system how cancer progression affects collective migration on long time scales, and determine how perturbation of cell-cell adhesions, specifically reduced E-cadherin expression, affects the collective migration phenotype. Methods: Time lapse imaging of cellular sheets and particle image velocimetry (PIV) are used to quantitatively study the dynamics of cell motion over ten hours. Long time dynamics are measured via finite time Lyapunov exponents (FTLE) and changes in FTLE with time. Results: We find that non-malignant MCF10A cells are distinguished from malignant MCF10CA1a cells by both their short time (minutes) and long time (hours) dynamics. In addition, short time dynamics distinguish non-malignant E-cadherin knockdown cells from the control, but long time dynamics and increasing spatial correlations remain unchanged. Discussion: Epithelial sheet collective behavior includes long time dynamics that cannot be captured by metrics that assess cooperativity based on short time dynamics, such as instantaneous speed or directionality. The use of metrics incorporating migration data over hours instead of minutes allows us to more precisely describe how E-cadherin, a clinically relevant adhesion molecule, affects collective migration. We predict that the long time scale metrics described here will be more robust and predictive of malignant behavior than analysis of instantaneous velocity fields alone. Twit Text FOAVip Collective cell migration over long time scales reveals distinct phenotypes ????Converg Sci Phys Oncol http://www.kidney.de/pget.php?&tw=1&pmid=29657838 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29657838 #FOAvip English Wikipedia <ref>{{Cite pmid|29657838}}</ref> Collective cell migration over long time scales reveals distinct phenotypes #MMPMID29657838 Lee RM; Stuelten CH; Parent CA; Losert W Converg Sci Phys Oncol 2016[Jun]; 2 (2): ä PMID29657838show ga Introduction: Migratory phenotypes of metastasizing tumor cells include single and collective cell migration. While migration of tumor cells is generally less cooperative than that of normal epithelial cells, our understanding of precisely how they differ in long time behavior is incomplete. Objectives: We measure in a model system how cancer progression affects collective migration on long time scales, and determine how perturbation of cell-cell adhesions, specifically reduced E-cadherin expression, affects the collective migration phenotype. Methods: Time lapse imaging of cellular sheets and particle image velocimetry (PIV) are used to quantitatively study the dynamics of cell motion over ten hours. Long time dynamics are measured via finite time Lyapunov exponents (FTLE) and changes in FTLE with time. Results: We find that non-malignant MCF10A cells are distinguished from malignant MCF10CA1a cells by both their short time (minutes) and long time (hours) dynamics. In addition, short time dynamics distinguish non-malignant E-cadherin knockdown cells from the control, but long time dynamics and increasing spatial correlations remain unchanged. Discussion: Epithelial sheet collective behavior includes long time dynamics that cannot be captured by metrics that assess cooperativity based on short time dynamics, such as instantaneous speed or directionality. The use of metrics incorporating migration data over hours instead of minutes allows us to more precisely describe how E-cadherin, a clinically relevant adhesion molecule, affects collective migration. We predict that the long time scale metrics described here will be more robust and predictive of malignant behavior than analysis of instantaneous velocity fields alone. äCollective cell migration over long time scales reveals distinct pheno(epmc).pdf DeepDyve Pubget Overpricing