Sentence examples for model of spindle from inspiring English sources

Destexhe, A., Contreras, D., Sejnowski, T.J. and Steriade, M. A model of spindle rhythmicity in the isolated thalamic reticular nucleus.

An integrated digital model of spindle, tool holder, tool and cutting process is presented.

Our results support a model of spindle assembly in which microtubule polymerization dynamics are not spatially regulated, and the proper organization of microtubules in the spindle is determined by nonuniform microtubule nucleation and the local sorting of microtubules by transport.

The lack of alignment to any specific type of cell-cell junction argues against a simple model of spindle positioning in which the spindle tethers level with the junction.

The rationale for this model of spindle organization is now explained in greater detail in the manuscript (the overlap length is maximized, under two constraints: the total polymer mass LT is given, and the pole-to-pole distance Ls is fixed).

Our findings move away from a simple, static, model of spindle positioning whereby spindle location is determined solely by anchoring to a specific cortical landmark, such as an adherens junction (den Elzen et al., 2009; Lu et al., 2001; Marthiens et al., 2010), to a more dynamic system based on antagonistic forces.

In this research, considering the effects of drawbar on the dynamic behavior of the milling motorized spindle-bearing system, a double-rotor model of spindle-drawbar-bearing assembly has been established by utilizing the whole transfer matrix method (WTMM) and a nonlinear rolling bearing dynamic model including the centrifugal force and gyroscopic effects.

It has been difficult to validate models of spindle assembly due to a lack of information on the organization of microtubules in these structures.

As described for the modeling of spindle migration, we used the default cutoff posterior probability of 0.5 to identify the small group (Additional File 16).

The simulations of the null models of spindle architecture were identical to those used to determine the critical force of wild-type spindles, except that microtubule length and number were sampled from probability distributions.

This mechanism differs from previously described models of spindle positioning in that it relies on a dynamic balance of apicobasal forces rather than on tethering of the spindle to particular location(s) in the cortex (Marthiens et al., 2010).