Sentence examples for cellular complexity in from inspiring English sources

Microfluidics is clearly a simple and powerful way to consider molecular and cellular complexity in vivo.

Here I consider the extent of cellular complexity in both free-living cells and cells in metazoan tissues, and ask whether any general organizational principles can be identified.

One of the key changes that enabled increased cellular complexity in eukaryotes was the evolution of the cytoskeleton - based ancestrally on actin filaments and tubulin-based microtubules (intermediate filaments most probably only appearing later in a specific lineage).

A reduction in cellular complexity will in turn decrease the complexity of the endogenous signaling environment and the diversity of inductive cell:cell interactions that can occur.

Moreover, tumor cells growing in such conditions lack the architectural and cellular complexity of in vivo tumors, so it is impossible to recreate the interaction between the tumor and its host [4].

The promises of modern biotechnology hinge upon the hope that we can understand microscopic cellular complexity and in doing so create novel function.

To overcome the cellular complexity observed in this assay, adherent culture systems have been employed to isolate and expand somatic and cancer stem cells [36], [37] with the intent of providing a less heterogeneous population [38].

First they showed different cellular complexity, implying differences in intracellular components.

Endosymbiosis led to mitochondria and chloroplasts and a great increase in cellular complexity.

Our analysis provides molecular evidence for the existence of several key cellular functions in the LCEA, and shows that a large proportion of motor family diversity and cellular complexity had already arisen in this ancient cell.

Potential drawbacks are: the relatively low efficiency of this method, although this is likely to improve as techniques become optimised; a reduction in cellular complexity, which complicates the production of neural circuits; and that neurons are a nonrenewable resource, requiring transdifferentiation for each experiment.