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Biological dosimeters are usually simple organisms, or components of them, modeling the cellular DNA.
The cell reprogramming technology enables a reverse engineering approach for modeling the cellular degenerative phenotypes of a wide range of human disorders.
In particular, accurate annotations and identification of gene presence and absence are critical for understanding and modeling the cellular physiology of newly sequenced genomes.
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To model the cellular and molecular context of ATRX-mutant gliomagenesis, we inactivated Atrx in Tp53-intact and deficient murine neuroepithelial progenitors (mNPCs).
Future studies should measure and model the cellular structure precisely and also reproduce the mechanical fields to correlate with intracellular responses such as stress fiber formation.
Our study introduces a dynamic network to model cellular interactions between two different cell types which can be used to model the cellular population changes post-MI.
We used a new approach to model the cellular interactions between macrophage activation types in the post-MI setting.
In view of these considerations, one could question the validity of the in vitro hiPSC phenotype for modelling the cellular pathophysiology caused by sarcomeric mutations.
These findings suggest that collections of cell lines representing multiple cell types can be used to model the cellular heterogeneity of tissues.
In contrast to BBDR models, the NRC vision included a central role for TP models that quantitatively model the cellular responses in terms of more basic biochemical and genomic responses.
Thus there may be some inaccuracies when modeling the integrated cellular network with the substitution of gene expression levels.
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