Cross-talk between receptor tyrosine kinase and tumor necrosis factor-α signaling networks regulates apoptosis but not proliferation.

Although many of the signaling networks activated by receptor tyrosine kinases (RTKs) and cytokine receptors are well understood, how these networks interconnect is much less clear. We set out to determine how cells respond to simultaneous exposure to opposing signals and how their downstream networks process this information. Using six isogenic cell lines, each stably transfected with a different RTK, we found that, in each case, the cognate growth factor induced proliferation, whereas TNFα induced apoptosis. Surprisingly, when the cells were treated simultaneously with growth factor and TNFα, the growth factor enhanced, rather than antagonized, TNFα-induced cell death. In contrast, TNFα had no effect on growth factor-induced proliferation, suggesting that cross-talk between these networks is unidirectional. A quantitative, system-wide study of signaling at early and late time points corroborated this observation: proteins in the RTK networks were not affected by TNFα treatment, but proteins in the TNFα network were affected by growth factors. These studies also highlighted the stress mitogen-activated protein kinase proteins p38 and c-Jun N-terminal kinase as the key nodes of signal integration, and their activation states at an early time point correlated well with subsequent measurements of apoptosis. Knocking down cRaf reduced the growth factor enhancement of TNFα-induced apoptosis, highlighting its role as a regulator of network cross-talk upstream of p38 and c-Jun N-terminal kinase. Overall, we found that when cells encounter conflicting stimuli, their phenotypic response is determined not by the sum of isolated processes, but by how their signaling networks interconnect. This underscores the need to build mechanistic models of network integration as a first step in predicting cellular behavior in complex settings and in rationally designing combination therapies.

Linear combinations of docking affinities explain quantitative differences in RTK signaling.

Receptor tyrosine kinases (RTKs) process extracellular cues by activating a broad array of signaling proteins. Paradoxically, they often use the same proteins to elicit diverse and even opposing phenotypic responses. Binary, 'on-off' wiring diagrams are therefore inadequate to explain their differences. Here, we show that when six diverse RTKs are placed in the same cellular background, they activate many of the same proteins, but to different quantitative degrees. Additionally, we find that the relative phosphorylation levels of upstream signaling proteins can be accurately predicted using linear models that rely on combinations of receptor-docking affinities and that the docking sites for phosphoinositide 3-kinase (PI3K) and Shc1 provide much of the predictive information. In contrast, we find that the phosphorylation levels of downstream proteins cannot be predicted using linear models. Taken together, these results show that information processing by RTKs can be segmented into discrete upstream and downstream steps, suggesting that the challenging task of constructing mathematical models of RTK signaling can be parsed into separate and more manageable layers.

High- and low-affinity epidermal growth factor receptor-ligand interactions activate distinct signaling pathways.

Signaling mediated by the Epidermal Growth Factor Receptor (EGFR) is crucial in normal development, and aberrant EGFR signaling has been implicated in a wide variety of cancers. Here we find that the high- and low-affinity interactions between EGFR and its ligands activate different signaling pathways. While high-affinity ligand binding is sufficient for activation of most canonical signaling pathways, low-affinity binding is required for the activation of the Signal transducers and activators of transcription (Stats) and Phospholipase C-gamma 1 (PLCγ1). As the Stat proteins are involved in many cellular responses including proliferation, migration and apoptosis, these results assign a function to low-affinity interactions that has been omitted from computational models of EGFR signaling. The existence of receptors with distinct signaling properties provides a way for EGFR to respond to different concentrations of the same ligand in qualitatively different ways.