期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 105, 期 2, 页码 459-463出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.0707603105
关键词
data analysis; fractional dynamics; non-Brownian motion
资金
- EPSRC [EP/E00492X/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/E00492X/1] Funding Source: researchfish
Cell movement-for example, during embryogenesis or tumor metastasis-is a complex dynamical process resulting from an intricate interplay of multiple components of the cellular migration machinery. At first sight, the paths of migrating cells resemble those of thermally driven Brownian particles. However, cell migration is an active biological process putting a characterization in terms of normal Brownian motion into question. By analyzing the trajectories of wild-type and mutated epithelial (transformed Madin-Darby canine kidney) cells, we show experimentally that anomalous dynamics characterizes cell migration. A superdiffusive increase of the mean squared displacement, non-Gaussian spatial probability distributions, and power-law decays of the velocity autocorrelations is the basis for this interpretation. Almost all results can be explained with a fractional Klein-Kramers equation allowing the quantitative classification of cell migration by a few parameters. Thereby, it discloses the influence and relative importance of individual components of the cellular migration apparatus to the behavior of the cell as a whole.
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