Functional network inference of the suprachiasmatic nucleus. Abel, J. H., Meeker, K., Granados-Fuentes, D., St. John, P. C., Wang, T. J., Bales, B. B., Doyle, F. J., Herzog, E. D., & Petzold, L. R. Proceedings of the National Academy of Sciences, 113(16):4512–4517, April, 2016. Publisher: Proceedings of the National Academy of Sciences![Functional network inference of the suprachiasmatic nucleus [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex In the mammalian suprachiasmatic nucleus (SCN), noisy cellular oscillators communicate within a neuronal network to generate precise system-wide circadian rhythms. Although the intracellular genetic oscillator and intercellular biochemical coupling mechanisms have been examined previously, the network topology driving synchronization of the SCN has not been elucidated. This network has been particularly challenging to probe, due to its oscillatory components and slow coupling timescale. In this work, we investigated the SCN network at a single-cell resolution through a chemically induced desynchronization. We then inferred functional connections in the SCN by applying the maximal information coefficient statistic to bioluminescence reporter data from individual neurons while they resynchronized their circadian cycling. Our results demonstrate that the functional network of circadian cells associated with resynchronization has small-world characteristics, with a node degree distribution that is exponential. We show that hubs of this small-world network are preferentially located in the central SCN, with sparsely connected shells surrounding these cores. Finally, we used two computational models of circadian neurons to validate our predictions of network structure.
@article{abel2016,
title = {Functional network inference of the suprachiasmatic nucleus},
volume = {113},
url = {https://www.pnas.org/doi/abs/10.1073/pnas.1521178113},
doi = {10.1073/pnas.1521178113},
abstract = {In the mammalian suprachiasmatic nucleus (SCN), noisy cellular oscillators communicate within a neuronal network to generate precise system-wide circadian rhythms. Although the intracellular genetic oscillator and intercellular biochemical coupling mechanisms have been examined previously, the network topology driving synchronization of the SCN has not been elucidated. This network has been particularly challenging to probe, due to its oscillatory components and slow coupling timescale. In this work, we investigated the SCN network at a single-cell resolution through a chemically induced desynchronization. We then inferred functional connections in the SCN by applying the maximal information coefficient statistic to bioluminescence reporter data from individual neurons while they resynchronized their circadian cycling. Our results demonstrate that the functional network of circadian cells associated with resynchronization has small-world characteristics, with a node degree distribution that is exponential. We show that hubs of this small-world network are preferentially located in the central SCN, with sparsely connected shells surrounding these cores. Finally, we used two computational models of circadian neurons to validate our predictions of network structure.},
number = {16},
urldate = {2024-07-25},
journal = {Proceedings of the National Academy of Sciences},
author = {Abel, John H. and Meeker, Kirsten and Granados-Fuentes, Daniel and St. John, Peter C. and Wang, Thomas J. and Bales, Benjamin B. and Doyle, Francis J. and Herzog, Erik D. and Petzold, Linda R.},
month = apr,
year = {2016},
note = {Publisher: Proceedings of the National Academy of Sciences},
pages = {4512--4517},
file = {Full Text PDF:/Users/lcneuro/Zotero/storage/G4TYWY7N/Abel et al. - 2016 - Functional network inference of the suprachiasmati.pdf:application/pdf},
}
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