2011
DOI: 10.1242/dev.066944
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‘White wave’ analysis of epithelial scratch wound healing reveals how cells mobilise back from the leading edge in a myosin-II-dependent fashion

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Cited by 4 publications
(6 citation statements)
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“…In monolayer epithelial sheets, a finite number of cells are mobilized to close a scratch, and the mobilization of distant cells is independent of the advancement of the leading cells (Matsubayashi et al, 2011). However, in the Drosophila embryo wound model, the cells away from the wound edge stretch toward the wound and show actomyosin-dependent shrinkage of cell-cell junctions with their neighbors to drive cell intercalation events and thus close the wound (Razzell et al, 2014).…”
Section: Epithelializationmentioning
confidence: 99%
“…In monolayer epithelial sheets, a finite number of cells are mobilized to close a scratch, and the mobilization of distant cells is independent of the advancement of the leading cells (Matsubayashi et al, 2011). However, in the Drosophila embryo wound model, the cells away from the wound edge stretch toward the wound and show actomyosin-dependent shrinkage of cell-cell junctions with their neighbors to drive cell intercalation events and thus close the wound (Razzell et al, 2014).…”
Section: Epithelializationmentioning
confidence: 99%
“…Therefore, TC migration does not rely on actomyosin contractibility, posing the question which molecular players might be involved in TC force generation. Interestingly, collective movement of cells depends on actin-based filopodia and lamellipodia (Mayor and Etienne-Manneville, 2016) and was shown in several cases to be independent of MyoII activity (Matsubayashi et al, 2011; Serra-Picamal et al, 2012). Furthermore, several studies showed that a down-regulation of MyoII is required for effective collective cell migration (Hidalgo-Carcedo et al, 2011; Omelchenko and Hall, 2012; Yamada and Nelson, 2007).…”
Section: Discussionmentioning
confidence: 99%
“…If |d| > 0, cells captured in those pixels moved and the pixels appear white in the resulting new image, but if cells did not move and |d| = 0, then the respective pixel remains black in the resulting image. It could be shown that this visualization of cell migration leads to a "white wave" spreading [33]. A unique feature of this tool is the visualization of cell migration over time.…”
Section: Tools and Algorithms For Data Analysismentioning
confidence: 99%
“…White Wave Model with ImageJ Difference in each pixel of two consecutive micrographs is visualized in a binary picture [33] Shows cell migration over time in form of "White Wave" Cannot distinguish direction of single cell migration;…”
Section: Consmentioning
confidence: 99%