Sentence examples for model systems reflecting from inspiring English sources

To identify new genetic regulators of cellular aging and senescence, we performed genome-wide comparative RNA profiling with selected human cellular model systems, reflecting replicative senescence, stress-induced premature senescence, and distinct other forms of cellular aging.

There are many reasons for these gaps in our knowledge, including the following: A lack of suitable model systems reflecting the complexity and diversity of breast cancer; Limited access to clinical material from patients before and, in particular, during treatment; A severe lack of material from metastatic deposits made available for studies of target hits and biological response to therapies.

Both of these model systems reflect inflammatory events as they occur in patients, although neither of them are a perfect model.

Meaningful data regarding potential clinical efficacy of caspase inhibitors such as zVAD-fmk will only be yielded if the cell death pathways stimulated in model systems reflect that triggered in patients.

We designed model systems to reflect the minerals present in sandstone, namely illite attached to a flat SiO2 surface, in the form of an oxidized silicon wafer, freshly cleaved mica and an ozone cleaned SiO2 surface.

The fact that GR expression was present in all cell lines, in conjunction with the demonstration that the AR antagonist bicalutamide blocked the effects of R1881 only in AR-expressing clones, strongly supports that our model systems accurately reflect physiologic AR signaling.

In mathematical biology, the classical prey-predator model (ODE system) reflects only population changes due to predation in a situation where predator and prey densities are not spatially dependent.

We used MCF10A cells to construct a model system to reflect changes seen in BBCs.

To further investigate whether the changes in the structural features led to an alteration of protein stability, thermal aggregation was used as a model system to reflect the responses of the proteins under stress.

An ideal model system should reflect human biology (specificity) while reducing the complexity of the human disease of interest, such that it can be studied and manipulated effectively (feasibility).

However, no definitive cure for AD exists due to lack of limited model systems that accurately reflect AD-related immunity in human brains, nor for a drug development strategy for delivery across the blood-brain barrier (BBB) and assessment of drug efficacy in human brains.