Introduction | However, signaling pathways involve extensive crosstalk and feedforward as well as feedback loops resulting in complex, nonlinear intracellular signaling networks, whose topologies are often context-specific and altered in diseases [1]. |
Introduction | Both signaling pathways are tightly interlinked and several mechanisms have been proposed for feedback loops within and crosstalk between PI3K and MAPK signaling (S2—S3 Tables). |
Introduction | For example, it was shown that within the MAPK signaling pathway a negative feedback loop is triggered by ERK or p9ORSK targeting SOS [4], and a positive feedback loop operates from ERK to |
Negative crosstalk: experimental validation | The candidate mechanisms within model 4_8_12 generate crosstalk as well as feedforward and feedback loops within the network structure leading to robust network behavior. |
Ordinary differential equation model selection | At first glance, model 4_8_12 includes three feedback loops (Fig 6A). |
Ordinary differential equation model selection | Within the PI3K pathway, the edge PI3K to Gabl closes a positive feedback loop . |
Ordinary differential equation model selection | Notably, these mechanisms give rise to two positive and two negative feedback loops , each containing species from both the PI3K and MAPK pathways. |
Selection of minimal model structures | Notably, in some cases, the qualitative response is not restricted by the model structure: If a path between the inhibited and measured species includes a negative feedback loop , or if paths of both signs exist between the two nodes, the actual response depends on the strength of the different mechanism and, thus, cannot be predicted by a purely qualitative model. |
Embodied choice | 1 (C) illustrates this aspect by including a feedback loop from the action to decision systems that is missing from both serial and parallel models. |
Horizontal position, x | The dependence of the action focus upon both the accumulated information and the current movement and location is characteristic of embodied choice models, because such models require a feedback loop from action to decision systems. |
Results | Model 1 serially initiates action after decision completion; Model 2 is parallel by allowing changes of mind in the decision system after the action initiates; Model 3 has action preparation operating in parallel with decision system, with also some aspects of embodiment by using action completion for decision completion; and Model 4 is fully embodied with a feedback loop from the action to decision systems, encompassing both action preparation and commitment. |
Study 2: Decision speed and accuracy from embodied choice | Embodied choice models, here exemplified by Model 4, include both action preparation and a feedback loop from action to decision systems that, while allowing changes of mind, also produce a commitment effect: changes of mind become less likely as the action nears completion. |
Study 2: Decision speed and accuracy from embodied choice | Here we found that a parallel model of action preparation (Model 3) early in the decision process approached the performance of the original DDM for relatively long response times; meanwhile, a feedback loop from action to decision gave a commitment effect necessary to achieve response speeds close to the minimum action time (Model 4). |
Prolonged survival of starving cells by a RpoS-mediated negative feedback loop | Prolonged survival of starving cells by a RpoS-mediated negative feedback loop |
Prolonged survival of starving cells by a RpoS-mediated negative feedback loop | Importantly, with this repression, a negative feedback loop among RpoS, substrate concentration and cell growth is formed as depicted in Fig. |
Prolonged survival of starving cells by a RpoS-mediated negative feedback loop | The negative feedback loop suggested above may play a similar role, providing a mechanism for a gradual change of NCFU observed in the first phase of the survival kinetics (Fig. |