Single cell time-lapse images of cancer cells proliferating for 120 hours observed under a live fluorescent microscope.  We engineer cells to carry three fluorescent markers: cell-cycle reporter (cyan), circadian clock (yellow), and p53 (red).

Cell Fate Decisions in Breast Cancer


As part of the current standard treatment, most breast cancer patients receive a combination of chemotherapy and radiotherapy. Despite its success, still many patients gain little or no benefit from this treatment, as evidenced from the elevated rates of locoregional recurrence, distant metastatic spread, and breast cancer deaths. Unfortunately, those patients will nevertheless suffer the short and long-term side effects of the inefficient therapy. My ultimate aim is to develop patient-specific strategies that maximize the damage in tumor cells while minimizing the damage to normal cells.




After the chemo- or radiotherapy a fraction of tumor cells will die, some cells will remain quiescent, while other cells will survive and continue dividing. This is a characteristic response to cancer therapy known as fractional response, where a subpopulation of cells survives the treatment. My research focuses on studying the cellular events and signaling dynamics that control the heterogeneous cell fate response of individual cells in time.  Specifically, how internal cycling factors, such as the circadian clock, the cell cycle, and the p53 protein dynamics interact with the DNA damage response pathway to determine the response to radiotherapy and chemotherapy in cancer cells. 



I develop methods that combine long-term live single-cell microscopy with time series analysis and mathematical modeling to track the evolving internal cellular state and the outcome cell fate. Gaining understanding on the internal state and dynamics of cell fate decision of individual tumor cells will help us to identify sensitive cellular states and to design optimal schedules for future cancer treatments.


This work is done in collaboration with the Laboratory of Galit Lahav from the Systems Biology Department at Harvard Medical School.

Experimental pipeline to design and encode fluorescent markers, track individual cellular rhythms and quantify the outcome cell fate decisions in our long-term live setup.

Mammalian Circadian Clock


Since millions of years the spinning of the Earth imposes daily periodically recurring environmental conditions on its inhabitants. Most organisms living on our planet have adapted by evolving their own internal about a day oscillator. This endogenous circadian oscillatory system controls an organism’s daily internal rhythms. In mammals, the central pacemaker responsible for generating such internal pace is the suprachiasmatic nucleus. The suprachiasmatic nucleus (SCN) is located in the base of the brain, in a region called the hypothalamus just above the optic chiasm, where the two optic nerves cross over. This tiny neural nucleus is responsible for controlling endogenous circadian rhythms. Many different body functions like sleep-wake cycles, body temperature and endocrine rhythms are regulated by the outputs of this nucleus.



Intracellular Coupling and Entrainment Mechanisms

In addition to the SCN, peripheral oscillators, such as lung tissue, exhibit damped and usually less precise oscillations, which are thought to be brought about by the lack of intercellular coupling. Both SCN and oscillators in peripheral tissues share almost identical single-cell molecular clocks, but they behave surprisingly different upon external periodic perturbations (entrainment). Carrying out a combined theoretical and experimental study of whole tissue and single-cell circadian oscillations, my work has contributed to the understanding of the central role played by the intercellular coupling that explains the entrainment differences. In a separate theoretical study we focused on the different dynamics from hypothesized models of intercellular coupling. Our predictions clarified how coupling mechanisms affect entrainment properties.

  • Abraham U*, Granada AE*, Westermark PO*, Heine M*, Kramer A, and Herzel H (2010) Coupling governs entrainment range of circadian clocks. Molecular Systems Biology, 6:438.
  • Bordyugov G*, Granada AE*, and Herzel H (2011). How Coupling Determines the Entrainment of Circadian Clocks. European Physical Journal B.
  • Erzberger A, Hampp G, Granada AE, Albrecht U, Herzel H (2013). Genetic redundancy strengthens the circadian clock leading to a narrow entrainment range. Journal of the Royal Society Interface 10(84):20130221.

* equal contribution.



Circadian desynchronization and Timescales of entrainment
Experiments elucidating SCN heterogeneity are often invasive and thus implicitly modify the SCN tissue in an unknown manner. An novel experimental protocol was proposed to non-invasively dissociate this circadian oscillatory network in vivo.  Rats exposed to exotic short Light-Dark cycles express two stable circadian motor activity rhythms (a fast and a slow rhythm). Motivated by these exciting works that characterized SCN heterogeneity, we developed a computational model and made predictions to help elucidate the sources of the observed heterogeneity (see first publication below). In addition, when an oscillator is entrained, its endogenous period is adjusted to that of the external recurring environment. Despite its heterogeneity, the SCN has the striking ability of fast entrainment. We have identified the core oscillator properties that determine the timescales to entrainment.

  • Granada AE, Cambras T, Diez-Noguera A, Herzel H (2011). Circadian desynchronization. Journal of the Royal Society Interface 1:153-166.
  • Granada AE, Herzel H (2009) How to achieve fast entrainment? The timescale to synchronization. PLoS One 4: e7057.


Human Chronotypes and Seasonal effects
Commonly known as the “early birds” or “night owls”, a person's chronotype is the propensity for the individual to sleep at a particular time during the day. A central question in human circadian research is to understand the interaction of the internal and environmental components that determine this chronotypes. Multiple major studies have characterized human chronotypes and study the distributions of human chronotypes but little is known about the factors that determine the shape of this distributions. In a series of works we have provided a framework to explain the distributions observed in human chronotypes and how the wake up time (phase of entrainment) depends on seasons and on additional internal human circadian clock parameters such as relaxation times and inter-cellular coupling.

  • Granada AE, Bordyugov G, Kramer A, Herzel H (2013). Human chronotypes from a theoretical perspective. PLoS One 8(3):e59464.
  • Granada AE, Herzel H, Kramer A, Abraham U. (2017). Information Transfer in the Mammalian Circadian Clock. Book chapter. Information and Communication Theory in Molecular Biology. Springer. ISBN-13: 978-3319547282


Perturbation and Information theory to study circadian oscillators.
Phase response curves are widely used in circadian clocks, neuroscience and heart physiology. They quantify the response of an oscillator to pulse-like perturbations. Phase response curves provide valuable information on the properties of oscillators and their synchronization. In the first publication listed below we discuss biological self-sustained oscillators (circadian clock, physiological rhythms, etc.) in the context of nonlinear dynamics theory. 
While direct synchronization by light is restricted to light-sensitive clock cells (e.g. in the eye), temperature cycles can be perceived by the majority of body cells, rendering it an elegant means to study environmental information transfer in mammalian clock cells. We studied the role of temperature oscillations as a zeitgeber for peripheral tissues. We combined information theory and theory of coupled oscillators to generate a set of theoretical predictions and tested them experimentally. See book chapeter below.

  • Granada AE, Hennig RM, Ronacher B, Kramer A, Herzel H (2009) Phase response curves elucidating the dynamics of coupled oscillators. Methods in Enzymology 454:1–27.    
  • Granada AE, Herzel H, Kramer A, Abraham U. (2017). Information Transfer in the Mammalian Circadian Clock. Book chapter. Information and Communication Theory in Molecular Biology. Springer. ISBN-13: 978-3319547282


This work is done in collaboration with the Labs of Hanspeter Herzel and Achim Kramer, from Humboldt University Berlin and the Charité University Hospital, respectively. 

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