2016
DOI: 10.1038/srep26858
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Ring-Shaped Microlanes and Chemical Barriers as a Platform for Probing Single-Cell Migration

Abstract: Quantification and discrimination of pharmaceutical and disease-related effects on cell migration requires detailed characterization of single-cell motility. In this context, micropatterned substrates that constrain cells within defined geometries facilitate quantitative readout of locomotion. Here, we study quasi-one-dimensional cell migration in ring-shaped microlanes. We observe bimodal behavior in form of alternating states of directional migration (run state) and reorientation (rest state). Both states sh… Show more

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Cited by 22 publications
(26 citation statements)
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References 59 publications
(69 reference statements)
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“…This behavior is quantified by the dominant oscillation frequency, the spatial distribution of cell positions and the persistent velocity of polarized migrating cells as a function of microlane length. The finding of quasi oscillatory pole-to-pole migration with repetitive depolarization-repolarization cycles is in agreement with previous measurements of the typical persistence length of directed migration on microtracks or microchannels, which was reported to be about 400 μm and hence larger than the length of the microlanes studied here [7,32,33,41]. At the poles of the microlanes, actin polymerization in the leading protrusion is quenched which is most likely due to the reduced capability to form focal adhesions in the PEGylated area.…”
Section: Resultssupporting
confidence: 93%
See 1 more Smart Citation
“…This behavior is quantified by the dominant oscillation frequency, the spatial distribution of cell positions and the persistent velocity of polarized migrating cells as a function of microlane length. The finding of quasi oscillatory pole-to-pole migration with repetitive depolarization-repolarization cycles is in agreement with previous measurements of the typical persistence length of directed migration on microtracks or microchannels, which was reported to be about 400 μm and hence larger than the length of the microlanes studied here [7,32,33,41]. At the poles of the microlanes, actin polymerization in the leading protrusion is quenched which is most likely due to the reduced capability to form focal adhesions in the PEGylated area.…”
Section: Resultssupporting
confidence: 93%
“…There, a universal relation between persistence and cell velocity was shown to hold [7]. Other micropatterns with non-trivial geometries give rise to novel migratory behavior: circular adhesion islands lead to rotational migration of small cohorts of cells [36], ratchet geometries induce directed migration [37][38][39], cells confined in dumbbell-shaped micropatterns undergo repeated stochastic transitions characterized by intricate nonlinear migratory dynamics [40], and microlanes with gaps show emergence of stochastic cell reversal and transits [41]. In addition, migration patterns may change upon interference with the cytoskeleton.…”
Section: Introductionmentioning
confidence: 99%
“…There, we also show snapshots of the 396 leading edge of simulated cells for a direct comparison between experiment and 397 simulation. Both in experiment and simulation, we find that the lamellipodium splits or microchannels, which was reported to be about 400 µm and hence larger than the 432 length of the microlanes studied here [7,32,33,41]. At the poles of the microlanes, 433 actin polymerization in the leading protrusion is quenched which is most likely due to 434 the reduced capability to form focal adhesions in the PEGylated area.…”
mentioning
confidence: 66%
“…Some cells divide, die, or occasionally leave the microlane during the recording period, resulting in a broad distribution of trajectory lengths. The experimental methods have been described before [36].…”
Section: A Experimental Trajectoriesmentioning
confidence: 99%
“…Our study employs one-dimensional cell migration on microcontact printed tracks [34,35]. Specifically, we analyze a large data set of human breast cancer cells on homogeneous circular tracks, which is a setup we previously introduced and which has the advantage that long, one-dimensional time traces of many cells can be monitored without mutual interference [36]. The single-cell analysis reveals stationary statistics as well as almost perfect Gaussian velocity distributions with significant cell-to-cell variations.…”
Section: Introductionmentioning
confidence: 99%