Sentence examples for model cells respond from inspiring English sources

For example, in one virtual tumor model, cells respond to microenvironmental changes (e.g. oxygen level, cell proximity) and decide to proliferate or die (79).

We have created a cell model to study androgen action on prostate stromal cell genes and we have shown that this model cell responds to androgen stimulation in some ways that are sometimes similar to prostate cancer cells but mostly differs significantly from prostate cancer cells that are usually used to model androgen effects on prostate cell gene expression.

According to this model, neuronal cells respond to deleterious external and internal factors by activation of a protective mechanism leading to upregulation of NEAT1 levels and formation of paraspeckles.

Our data support a working model whereby primary pancreatic duct cells respond to insulin (mostly via AKT signalling), but do not respond with increased proliferation or survival.

As one of the most extensively studied models for neuronal differentiation, PC12 cells respond to a broad spectrum of pharmacological agents, which trigger a myriad of intracellular signaling pathways leading to neuronal differentiation.

We note that in the fitted mathematical model, it is assumed that CD4+CD25− cells respond to changes in the level of CD4+CD25+Foxp3+ cells, rather than to their absolute level itself.

The model used here assumes that CD4+CD25− cells respond to changes in the levels of CD4 Tregs, rather than to their absolute numbers; assuming the latter failed to produce a good fit to the data since in different time intervals, comparable levels of CD4 Tregs were accompanied by either a rise or a drop in CD4+CD25− cells.

The model also allows us to investigate how cells respond when applying these perturbations at different time sequences.

Here we discuss how mathematical modelling is helping our understanding of how cells respond to changes in the characteristics of pulsing signals, namely their amplitude, frequency, and duration.

"With this model, you can see how different kinds of cells respond to the drugs".

A model depicting how PDF and PDF-positive morning cells respond to light cues and control the pace of downstream E cells.