By Rudolf Winklbauer, Andreas Selchow, Beate Boller, Jürgen Bereiter-Hahn (auth.), Wolfgang Alt, Andreas Deutsch, Graham A. Dunn (eds.)
Understanding the dynamics of cellphone and tissue movement types a necessary step in realizing the dynamics of lifestyles and organic self-organization. organic movement is without doubt one of the most blatant expressions of self-organization, because it calls for self sufficient production and controlled motion of forces resulting in form formation and translocation of cells and tissues. the subjects of the booklet comprise intracellular motility and cytoplasma dynamics (e.g. telephone division), unmarried telephone stream in various extracellular media (e.g. chemotaxis or touch guidance), mobilephone aggregation and cooperative movement (e.g. mobile swarms or slugs) and, ultimately, cell-cell interactions in constructing tissues (e.g. embryogenesis or plant movement). The dynamics underlying organic movement are defined, at the one hand, by means of a number of tools of photograph processing and correlation research, and nonetheless by utilizing physico-chemical theories, constructing corresponding mathematical types and appearing continuum box or stochastic simulations. hence, the examine is of an interdisciplinary personality ordinarily present in theoretical and mathematical biology. Its presentation is meant to arrive a vast viewers â€" from theoretically bioscientists, physicians and biophysicists to utilized mathematicians attracted to the appliance of nonlinear dynamical platforms and simulation algorithms. crucial function of the booklet is that it considers attainable synergetic mechanisms of interplay and cooperation on varied microscopic degrees: at the molecular point of cytoskeletal polymers, membrane proteins and extracellular matrix filaments, in addition to at the point of cells and mobile tissues. New effects quandary the features of filament or telephone alignment, a variety of modes of strength transduction and the formation of worldwide tension fields. The latter element of mechanical cell-cell conversation is emphasised with a view to supplement the even more well-studied phenomena of chemical, genetical or electrophysical communication.
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Knowing the dynamics of telephone and tissue movement kinds a necessary step in knowing the dynamics of existence and organic self-organization. organic movement is among the most blatant expressions of self-organization, because it calls for self reliant construction and controlled motion of forces resulting in form formation and translocation of cells and tissues.
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Additional resources for Dynamics of Cell and Tissue Motion
5 shows this decomposition into factors applied to spontaneous fluctuations in displacement for the cell which was also used as an example in Fig. 3. 5 o 20 10 " 1ft Nt M ~ ~~~ M)~ V o o 1 I I~ ~ 1 rls A r"\ t~ I~ IJAJ . , ~t~ I~ vt ,j .. 1' . 05 o Figure 5: The spontaneous fluctuations in displacement (black) for the cell which was also used as an example in Fig. 3. The two almost coincident traces shown in dark grey are the relative areas of protrusion and retraction whereas the polarity is shown in light grey.
To investigate these dynamics, we measured the inner and outer diameters of one type of F-actin structure, rings, which are relatively easy to define (Figs. 4 & 5). Both NC-4 and AX-2 cell strains react to a cAMP impulse initially by a transient disappearance of almost all rings and then an oscillation in F -actin ring generation and size. Fourier analysis indicates that the oscillation frequency is similar in the two cell strains. Logistic regression of ring diameter vs. rim width indicated that rings grow from very small dimensions and that the rim broadens proportionally in a typical sigmoidal fashion (Vicker et aZ.
More recently, Dunn & Zicha (1995) and Weber et al. (1995) have investigated the cross-correlation structure of protrusion and retraction at different lag times and have shown that they are generally interlinked during the locomotion of chick fibroblasts and Dictyostelium cells respectively. Weber's article reveals that the cross-correlogram is a particularly sensitive device for detecting subtle differences in motility exhibited by mutants lacking combinations of actin-crosslinking proteins. Here, we will show how the cross-correlation between the two processes, at different time lags, can reveal control mechanisms and possible cause/effect relationships in the dynamics of the cell's locomotory machinery.
Dynamics of Cell and Tissue Motion by Rudolf Winklbauer, Andreas Selchow, Beate Boller, Jürgen Bereiter-Hahn (auth.), Wolfgang Alt, Andreas Deutsch, Graham A. Dunn (eds.)