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Self-Amplifying Pulsatile Protein Dynamics without Positive Feedback

Authors: Martinez-Corral, Rosa; Raimundez, Elba; Lin, Yihan; Elowitz, Michael B.; Garcia-Ojalvo, Jordi;

Self-Amplifying Pulsatile Protein Dynamics without Positive Feedback

Abstract

Many proteins exhibit dynamic activation patterns in the form of irregular pulses. Such behavior is typically attributed to a combination of positive and negative feedback loops in the underlying regulatory network. However, the presence of positive feedbacks is difficult to demonstrate unequivocally, raising the question of whether stochastic pulses can arise from negative feedback only. Here, we use the protein kinase A (PKA) system, a key regulator of the yeast pulsatile transcription factor Msn2, as a case example to show that irregular pulses of protein activity can arise from a negative feedback loop alone. Simplification to two variables reveals that a combination of zero-order ultrasensitivity, timescale separation between the activator and the repressor, and an effective delay in the feedback are sufficient to amplify a perturbation into a pulse. The same circuit topology can account for both activation and inactivation pulses, pointing toward a general mechanism of stochastic pulse generation.

Countries
Spain, Germany, United States
Keywords

Periodicity, Saccharomyces cerevisiae Proteins, Cellular oscillations, feedback, cellular oscillations, Protein activation, biological noise, Saccharomyces cerevisiae, Protein activity pulses, Feedback, Cell signaling dynamics, Gene Expression Regulation, Fungal, Biological Noise ; Cell Signaling Dynamics ; Cellular Oscillations ; Feedback ; Protein Activation ; Protein Activity Pulses ; Ultrasensitivity, protein activity pulses, cell signaling dynamics, Feedback, Physiological, ultrasensitivity, Stochastic Processes, 500, Cyclic AMP-Dependent Protein Kinases, protein activation, DNA-Binding Proteins, Biological noise, Ultrasensitivity, Transcription Factors

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green
hybrid