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On another level of complexity, 3D fluorescence tracking can be used to assess how different cells co-operate to form complex tissues.
It remains largely speculative how different cells execute complex final functions (proliferation, invasion, etc).
This may contribute to determining the morphological structure of different cell lines and potentially regulate how different cells adapt the actin cytoskeleton for migration and adherence in vivo.
We suggest that this system would be best exploited to understand how different cells interact with each other to form a functional organ.
Particularly interesting are topics such as how the barrier tight junctions are constructed and regulated in pathophysiological conditions and how different cells and cell types interact to maintain a dynamic barrier function (cell-cell direct interaction and paracrine effects).
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We use a cell-based two-dimensional tissue growth model including mechanics to investigate how different cell division rules result in different statistical properties of the cells at the tissue level.
Such models have been successful at discovering developmental modules or sub-networks able to recover and predict multi-gene expression profiles observed in cell types, thus providing a dynamical mechanism to understand how different cell types are attained, given a fixed GRN topology that should be present within all the cells [3] [5].
Cellular protein concentrations are a particular powerful point of control and this explains how different cell types can show different responses.
On this issue, the methodology herein presented could at least allow to hypothesize how different cell pathways/functions are commonly regulated.
Similar phenomena occur in plants and fungi, raising the question of how different cell types generate the correct number of fronts (Wu and Lew, 2013).
Thus, Creb3l2 seems to be a key regulator of both the availability and composition of COPII vesicular carriers, which could explain how different cell types secrete specific proteins.
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