1,721,081 research outputs found
Data for the "Coupling traction force patterns and actomyosin wave dynamics reveals mechanics of cell motion"
No full textData for the "Coupling traction force patterns and actomyosin wave dynamics reveals mechanics of cell motion", Elisabeth Ghabache, Yuansheng Cao, Yuchuan Miao, Alex Groisman, Peter N. Devreotes, Wouter-Jan RappelThe data is presented in .mat files and corresponds to Figs. 2-6 in the study.</div
Numerical Simulation of Three-Dimensional Dendritic Growth[Phys. Rev. Lett. 77, 4050 (1996)]
No full textAdaptation in Living Systems
No full text Adaptation refers to the biological phenomenon where living systems change their internal states in response to changes in their environments in order to maintain certain key functions critical for their survival and fitness. Adaptation is one of the most ubiquitous and arguably one of the most fundamental properties of living systems. It occurs throughout all biological scales, from adaptation of populations of species over evolutionary time to adaptation of a single cell to different environmental stresses during its life span. In this article, we review some of the recent progress made in understanding molecular mechanisms of cellular-level adaptation. We take the minimalist (or the physicist) approach and study the simplest systems that exhibit generic adaptive behaviors, namely chemotaxis in bacterium cells (Escherichia coli) and eukaryotic cells (Dictyostelium). We focus on understanding the basic biochemical interaction networks that are responsible for adaptation dynamics. By combining theoretical modeling with quantitative experimentation, we demonstrate universal features in adaptation as well as important differences in different cellular systems. Future work in extending the modeling framework to study adaptation in more complex systems such as sensory neurons is also discussed. </jats:p
The oscillatory instability in rapid solidification
No full textWe modify the usual directional solidification equations for the case of large pulling velocities (rapid solidification). Using these equations we describe a numerical method to analyze the stability for numerically obtained cellular structures. We find cells which are oscillatory unstable which will lead to the observation of banded regions in the experiment. The width of these bands are estimated and found to agree roughly with the experimentally observed ones.Les équations habituelles de la solidification directionnelle sont modifiées dans le cas de vitesses de tirage élevées (solidification rapide). A partir de ces équations, nous décrivons une méthode numérique pour analyser la stabilité des structures cellulaires obtenues numériquement. Ces cellules présentent une instabilité oscillatoire, ce qui prédit l'observation de régions en forme de bandes dans l'expérience. La largeur de ces bandes, que nous avons estimée, est à peu près en accord avec celle observée expérimentalement
The stability of cells in directional solidification
No full textThe stability of numerically obtained cells in the one sided model of directional solidification is
investigated, using a numerical approach. In particular, the shapes of the cells corresponding to
the Saffman-Taylor branch are discussed. The possibility for an oscillatory instability is
investigated and the results are compared with a recent approximate analytical stability
calculation. For large thermal length we find an instability which is oscillatory for some
parametervalues. The results agree partially with the analytical stability calculation. The possible
limit cycle arising from this instability is discussed
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