Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Engineering Self-Organized Criticality in Living Cells

Version 1 : Received: 13 November 2020 / Approved: 20 November 2020 / Online: 20 November 2020 (13:57:20 CET)

How to cite: Vidiella, B.; Guillamon, A.; Sardanyes, J.; Maull, V.; Conde, N.; Sole, R. Engineering Self-Organized Criticality in Living Cells. Preprints 2020, 2020110546 (doi: 10.20944/preprints202011.0546.v1). Vidiella, B.; Guillamon, A.; Sardanyes, J.; Maull, V.; Conde, N.; Sole, R. Engineering Self-Organized Criticality in Living Cells. Preprints 2020, 2020110546 (doi: 10.20944/preprints202011.0546.v1).

Abstract

Complex dynamical fluctuations, from molecular noise within cells, collective intelligence, brain dynamics or computer traffic have been shown to display noisy behaviour consistent with a critical state between order and disorder. Living close to the critical point can have a number of adaptive advantages and it has been conjectured that evolution could select (and even tend to) these critical states. One way of approaching such state is by means of so-called self-organized criticality (SOC) where the system poises itself close to the critical point. Is this the case of living cells? It is difficult to test this idea given the enormous dimensionality associated with gene and metabolic webs. In this paper, we present an alternative approach: to engineer synthetic gene networks displaying SOC behaviour. This is achieved by exploiting the presence of a saturation (congestion) phenomenon of the ClpXP protein degradation machinery in E. coli cells. Using a feedback design that detects and then reduces ClpXP congestion, a {\em critical motif} is built from a two-gene network system, where SOC can be successfully implemented. Both deterministic and stochastic models are used, consistently supporting the presence of criticality in intracellular traffic. The potential implications for both cellular dynamics and designed intracellular noise are discussed.

Subject Areas

Cellular networks; self-organized criticality; phase transitions; queueing theory; synthetic biology

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.