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Such robustness may arise from the multiple negative feedbacks within the network, that help maintain a very stable, stationary state in the absence of stimulation, and ensure specific signaling patterns despite the uncertainties involved.
Multiple negative feedbacks regulating the core components of small RNA silencing pathways have been reported [ 1, 31, 32, 36, 40].
While there exists extensive literature on mathematical models addressing the role of the multiple negative feedbacks in NF- κB dynamics [ 17- 19, 27, 34- 36], the positive cytokine feedback has only been considered by Werner et al. [ 37].
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Chaining multiple negative feedback loops together should lead to a multiplicative improvement.
The model incorporates multiple negative feedback loops through which the PI3K/AKT pathway leads to the negative regulation of RTK signaling.
Further studies revealed that elevated mTORC1/S6K could suppress the activation of the PI3K pathway through multiple negative feedback loops (Gual et al., 2005).
Multiple negative feedback loop structures are common in circadian clock models ranging from Synechococcus cyanobacteria [54] to plants [21], [25] and mammals [19].
However as the over-production of pro-inflammatory cytokines results in tissue damage or septic shock, precise control of these signaling pathways is essential and achieved via the induction of multiple negative feedback mechanisms.
In summary, the results suggest that a multiple negative feedback loop structure confers desirable properties through enhancing sensitivity to both qualitative and quantitative changes of the photo-profiles and their robustness to noisy external fluctuations.
Our current approach cannot account for the multiple negative feedback regulations of either AKAP12 or DUSP1.
The former system represents a single-loop system while the latter represents one with multiple negative feedback loops coupled together.
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