2016
DOI: 10.15252/msb.20166982
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Frequency modulation of ERK activation dynamics rewires cell fate

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Cited by 37 publications
(43 citation statements)
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“…Our model demonstrates that a remarkably simple network – a single negative feedback loop, coupled to target gene promoters with different sensitivities to Erk – enables target genes to act as tunable band-pass filters that respond to specific frequencies of Ras pulses. The frequency of upstream stimuli may thus be decoded into distinct cellular responses, consistent with recent studies showing that pulsatile NGF stimulation induces more homogenous differentiation in PC-12 cells than does continuous stimulation (Ryu et al, 2016), as well as by the finding that certain frequencies of osmolarity stress dramatically reduce yeast cell growth (Mitchell et al, 2015). Future studies combining precise optogenetic stimuli and reporters of cell fate could shed new light on whether the dynamics of a single pathway are sufficient to distinguish among cell fate responses.…”
Section: Discussionsupporting
confidence: 79%
“…Our model demonstrates that a remarkably simple network – a single negative feedback loop, coupled to target gene promoters with different sensitivities to Erk – enables target genes to act as tunable band-pass filters that respond to specific frequencies of Ras pulses. The frequency of upstream stimuli may thus be decoded into distinct cellular responses, consistent with recent studies showing that pulsatile NGF stimulation induces more homogenous differentiation in PC-12 cells than does continuous stimulation (Ryu et al, 2016), as well as by the finding that certain frequencies of osmolarity stress dramatically reduce yeast cell growth (Mitchell et al, 2015). Future studies combining precise optogenetic stimuli and reporters of cell fate could shed new light on whether the dynamics of a single pathway are sufficient to distinguish among cell fate responses.…”
Section: Discussionsupporting
confidence: 79%
“…Several computational models have been developed that can predict the behaviour of RTKs and their downstream signalling pathways (Ryu et al, ; Adlung et al, ), including those that have been adapted to predict optimal combination therapies in an attempt to overcome resistance to RTK inhibitors. Invariably, these models are developed and calibrated under standard conditions using data derived from cancer cell lines grown on tissue culture plastic.…”
Section: Potential Applications For Modelling Of Matrix Signallingmentioning
confidence: 99%
“…A number of elegant models have been developed to describe the dynamics of MAPK signalling, in which a key regulatory mechanism is the negative feedback and crosstalk that occurs through both rapid, phosphorylation‐based inhibition of upstream signalling components, and slower transcriptional induction of negative regulators (Kholodenko et al, ; Bluthgen, ; Ryu et al, ). This dynamic network rewiring strongly regulates the temporal kinetics of each discrete MAPK but also generates feedback‐based network structures that can influence the sensitivity and dynamic behaviour of all MAPK pathways (Fey et al, ).…”
Section: Potential Applications For Modelling Of Matrix Signallingmentioning
confidence: 99%
“…For example, in rat PC12 cells, sustained epidermal growth factor (EGF) stimulation of ERK signaling was found to induce proliferation, while sustained nerve growth factor (NGF) stimulation resulted in differentiation . In contrast, when pulses of low EGF concentrations were applied to the cells, they underwent differentiation instead, while pulses of higher EGF concentrations resulted in proliferation …”
Section: Erk Pathway Signaling Dynamicsmentioning
confidence: 99%