Publications

Dual-Color Single-Cell Imaging of the Suprachiasmatic Nucleus Reveals a Circadian Role in Network Synchrony

Yongli Shan, John H. Abel, Yan Li, Mariko Izumo, Kimberly H. Cox, Byeongha Jeong, Seung-Hee Yoo, David P. Olson, Francis J. Doyle III, & Joseph S. Takahashi. Neuron, 2020.

Pharmaceutical-based entrainment of circadian phase via nonlinear model predictive control

J. H. Abel, A. Chakrabarty, E. B. Klerman, F. J. Doyle III.  Automatica. 2019.

Entrainment of circadian rhythms depends on firing rates and neuropeptide release of VIP SCN neurons

Mazuski C, Abel JH, Chen SP, Hermanstyne TO, Jones JR, Simon T, Doyle FJ, Herzog ED. Entrainment of circadian rhythms depends on firing rates and neuropeptide release of VIP SCN neurons. Neuron, 2018. doi:10.1016/j.neuron.2018.06.029

Controlling Biological Time: Nonlinear Model Predictive Control for Populations of Circadian Oscillators

J. H. Abel, A. Chakrabarty, and F. J. Doyle III. “Controlling Biological Time: Nonlinear Model Predictive Control for Populations of Circadian Oscillators.” in Emerging Applications of Control and Systems Theory, R. Tempo, S. Yurkovich, and P. Misra, Editors, Springer, 2018.

Ontogeny of circadian rhythms and synchrony in the suprachiasmatic nucleus

V Carmona-Alcocer, JH Abel, TC Sun, LR Petzold, FJ Doyle III, CL Simms, ED Herzog. “Ontogeny of circadian rhythms and synchrony in the suprachiasmatic nucleus,” Journal of Neuroscience, 2017. doi:10.1523/JNEUROSCI.2006-17.2017

GillesPy: a Python package for stochastic model building and simulation

J.H. Abel, B. Drawert, A. Hellander, and L.R. Petzold, “GillesPy: a Python package for stochastic model building
and simulation,” IEEE Life Sciences Letters, 2017. doi: 10.1109/LLS.2017.2652448

A systems theoretic approach to analysis and control of mammalian circadian dynamics

J.H. Abel and F.J. Doyle III. “A systems theoretic approach to analysis and control of mammalian circadian dynamics.” Chemical Engineering Research and Design, 2016. doi:10.1016/j.cherd.2016.09.033

Functional network inference of the suprachiasmatic nucleus

J.H. Abel, K. Meeker, D. Granados-Fuentes, P.C. St. John, T.J. Wang, B.B. Bales, F.J. Doyle III, E.D. Herzog, L.R. Petzold. “Functional network inference of the suprachiasmatic nucleus.” Proceedings of the National Academy of Sciences of the United States of America, 113(16), 2016. doi:10.1073/pnas.1521178113

A Coupled Stochastic Model Explains Differences in Cry Knockout Behavior

J.H. Abel, L.A. Widmer, P.C. St. John, J. Stelling, and F.J. Doyle III, ”
A Coupled Stochastic Model Explains Differences in Cry Knockout Behavior.” IEEE Life Sciences Letters, Jun 2015. doi:10.1109/LLS.2015.2439498

Amplitude metrics for cellular circadian bioluminescence reporters

P.C. St John, S.R. Taylor, J.H. Abel, F.J. Doyle III, “Amplitude metrics for cellular circadian bioluminescence reporters,” Biophysical Journal, vol. 107, no. 11, pp. 2712-22,Dec 2014. [DOI]

Lab News

Mapping the circuit of our internal clock

Harvard SEAS: “Research sheds light the neural structure that controls our sleep, eating habits, hormones and more.” See within for press from our most recent study of the circadian clock.

Harvard SEAS: here
UCSB Current: here

This has been featured elsewhere, including:
ExtremeTech
The Daily Mail

ScienceDaily: Researchers reveal, to single-cell resolution, the network of circadian neurons

While the overall effects of circadian activities have been studied, relatively little is understood about the structure of the network of brain cells as they communicate to control the synchronization process. In a paper that appears in the Proceedings of the National Academy of Sciences, UC Santa Barbara [and Harvard!] researchers and collaborators infer the architecture of the suprachiasmatic nucleus (SCN), the control center for the circadian processes in mammals.

Read more: here or here
Photo credit: Cristina Mazuski, Herzog Lab, WUSTL