Laboratory for Control, Learning, and Systems Biology

oscillations

2022
  1. D. Angeli, M.A. Al-Radhawi, E.D. Sontag, "A robust Lyapunov criterion for non-oscillatory behaviors in biological interaction networks", IEEE Transactions on Automatic Control, vol. 67, no. 7, pp. 3305-3320, 2022. doipdf
    Abstract

    This paper introduces a notion of non-oscillation, proposes a constructive method for its robust verification, and studies its application to biological interaction networks. The paper starts by revisiting Muldowney's result on non-existence of periodic solutions based on the study of the variational system of the second additive compound of the Jacobian of a nonlinear system. It then shows that exponential stability of the latter rules out limit cycles, quasi-periodic solutions, and broad classes of oscillatory behavior. The focus then turns ton nonlinear equations arising in biological interaction networks with general kinetics, the paper shows that the dynamics of the variational system can be embedded in a linear differential inclusion. This leads to algorithms for constructing piecewise linear Lyapunov functions to certify global robust non-oscillatory behavior. Finally, the paper applies the new techniques to study several regulated enzymatic cycles where available methods are not able to provide any information about their qualitative global behavior.

2018
  1. F. Blanchini, H. El-Samad, G. Giordano, E. D. Sontag, "Control-theoretic methods for biological networks", In Proc. 2018 IEEE Conf. Decision and Control, pp. 466-483, 2018. pdf
    Abstract

    This is a tutorial paper on control-theoretic methods for the analysis of biological systems.

2017
  1. S. J. Rahi, J. Larsch, K. Pecani, N. Mansouri, A. Y. Katsov, K. Tsaneva-Atanasova, E. D. Sontag, F. R. Cross, "Oscillatory stimuli differentiate adapting circuit topologies", Nature Methods, vol. 14, pp. 1010-1016, 2017. pdf
    Abstract

    Elucidating the structure of biological intracellular networks from experimental data remains a major challenge. This paper studies two types of ``response signatures'' to identify specific circuit motifs, from the observed response to periodic inputs. In particular, the objective is to distinguish negative feedback loops (NFLs) from incoherent feedforward loops (IFFLs), which are two types of circuits capable of producing exact adaptation. The theory of monotone systems with inputs is used to show that ``period skipping'' (non-harmonic responses) is ruled out in IFFL's, and a notion called ``refractory period stabilization'' is also analyzed. The approach is then applied to identify a circuit dominating cell cycle timing in yeast, and to uncover a calcium-mediated NFL circuit in C.elegans olfactory sensory neurons.

2008
  1. D. Angeli, E.D. Sontag, "Oscillations in I/O monotone systems", IEEE Transactions on Circuits and Systems, Special Issue on Systems Biology, vol. 55, pp. 166-176, 2008. pdf
    Preprint version in arXiv q-bio.QM/0701018, 14 Jan 2007
    Abstract

    In this note, we show how certain properties of Goldbeter's 1995 model for circadian oscillations can be proved mathematically, using techniques from the recently developed theory of monotone systems with inputs and outputs. The theory establishes global asymptotic stability, and in particular no oscillations, if the rate of transcription is somewhat smaller than that assumed by Goldbeter, based on the application of a tight small gain condition. This stability persists even under arbitrary delays in the feedback loop. On the other hand, when the condition is violated a Poincare'-Bendixson result allows to conclude existence of oscillations, for sufficiently high delays.

2004
  1. D. Angeli, E.D. Sontag, "An analysis of a circadian model using the small-gain approach to monotone systems", In Proc.\ IEEE Conf.\ Decision and Control, Paradise Island, Bahamas, Dec.\ 2004, IEEE Publications, pp. 575–578, 2004. pdf
    Abstract

    We show how certain properties of Goldbeter's original 1995 model for circadian oscillations can be proved mathematically. We establish global asymptotic stability, and in particular no oscillations, if the rate of transcription is somewhat smaller than that assumed by Goldbeter, but, on the other hand, this stability persists even under arbitrary delays in the feedback loop. We are mainly interested in illustrating certain mathematical techniques, including the use of theorems concerning tridiagonal cooperative systems and the recently developed theory of monotone systems with inputs and outputs.

2003
  1. J. R. Pomerening, E.D. Sontag, J. E. Ferrell, "Building a cell cycle oscillator: hysteresis and bistability in the activation of Cdc2", Nature Cell Biology, vol. 5, no. 4, pp. 346–351, 2003. wwwdoipdf
    Supplementary materials 2-4 are here: http://sontaglab.org/FTPDIR/pomerening-sontag-ferrell-additional.pdf
    Abstract

    In the early embryonic cell cycle, Cdc2-cyclin B functions like an autonomous oscillator, at whose core is a negative feedback loop: cyclins accumulate and produce active mitotic Cdc2-cyclin B Cdc2 activates the anaphase-promoting complex (APC); the APC then promotes cyclin degradation and resets Cdc2 to its inactive, interphase state. Cdc2 regulation also involves positive feedback4, with active Cdc2-cyclin B stimulating its activator Cdc25 and inactivating its inhibitors Wee1 and Myt1. Under the correct circumstances, these positive feedback loops could function as a bistable trigger for mitosis, and oscillators with bistable triggers may be particularly relevant to biological applications such as cell cycle regulation. This paper examined whether Cdc2 activation is bistable, confirming that the response of Cdc2 to non-degradable cyclin B is temporally abrupt and switchlike, as would be expected if Cdc2 activation were bistable. It is also shown that Cdc2 activation exhibits hysteresis, a property of bistable systems with particular relevance to biochemical oscillators. These findings help establish the basic systems-level logic of the mitotic oscillator.