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The results for the analysis of IFN-β+APAP versus IFN-β are displayed in Figure 2. Leading edge analysis assumes that genes that contribute to multiple pathways will be of greater interest than those that only contribute to one pathway.
Indeed, given the importance of autophagy to cell survival it is to be expected that multiple pathways will be involved in its regulation, resulting in a degree of redundancy in the system [42].
It is expected that assays of multiple types, probing multiple pathways, will be required to predict in vivo toxicity across a wide range of chemicals this is the approach taken within ToxCast and ToxRefDB.
The number of networks derived from the differentially expressed gene set underscores the complexity of renal disease pathogenesis, and suggests that therapies directed at multiple pathways will be needed to effectively treat human kidney diseases.
This is not surprising as many growth factors activate downstream ERK/MAPK and PI3K/AKT/mTOR signaling but emphasizes that further clinical and laboratory studies will need to be performed to identify if there is a predominant therapeutic target in this subtype of ER+ BC, or if multiple pathways will need to be inhibited to produce clinical benefit in these patients.
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In the case where a gene is differentially expressed and also interacts with differentially expressed genes in multiple pathways, this will typically show up in the pathway interaction network, indicating that it acts on the verge of different pathways.
In this sense, multi-target drugs capable of triggering multiple apoptotic pathways will be ideal candidates for chemotherapy.
Therefore, probing into multiple signalling pathways will be necessary to determine the pathway that G7-18NATE peptise invadinginvading
Whether the later mutations act on a single pathway or multiple, different pathways will require the detailed dissection of the oscillator's mechanism.
Defining the interplay of these multiple signaling pathways will be critical in understanding the self-renewal versus differentiation decisions of hESCs.
The development of diabetic cardiomyopathy is most likely induced by a range of systemic changes, which through multiple signaling pathways will lead to functional and structural derangements (Fig. 1).
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