Weakly circadian cells improve resynchrony.
The mammalian suprachiasmatic nuclei (SCN) contain thousands of neurons capable of generating near 24-h rhythms. When isolated from their network, SCN neurons exhibit a range of oscillatory phenotypes: sustained or damping oscillations, or arrhythmic patterns. The implications of this variability ar...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2012-01-01
|
| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC3510091?pdf=render |
| _version_ | 1818556408068571136 |
|---|---|
| author | Alexis B Webb Stephanie R Taylor Kurt A Thoroughman Francis J Doyle Erik D Herzog |
| author_facet | Alexis B Webb Stephanie R Taylor Kurt A Thoroughman Francis J Doyle Erik D Herzog |
| author_sort | Alexis B Webb |
| collection | DOAJ |
| description | The mammalian suprachiasmatic nuclei (SCN) contain thousands of neurons capable of generating near 24-h rhythms. When isolated from their network, SCN neurons exhibit a range of oscillatory phenotypes: sustained or damping oscillations, or arrhythmic patterns. The implications of this variability are unknown. Experimentally, we found that cells within SCN explants recover from pharmacologically-induced desynchrony by re-establishing rhythmicity and synchrony in waves, independent of their intrinsic circadian period We therefore hypothesized that a cell's location within the network may also critically determine its resynchronization. To test this, we employed a deterministic, mechanistic model of circadian oscillators where we could independently control cell-intrinsic and network-connectivity parameters. We found that small changes in key parameters produced the full range of oscillatory phenotypes seen in biological cells, including similar distributions of period, amplitude and ability to cycle. The model also predicted that weaker oscillators could adjust their phase more readily than stronger oscillators. Using these model cells we explored potential biological consequences of their number and placement within the network. We found that the population synchronized to a higher degree when weak oscillators were at highly connected nodes within the network. A mathematically independent phase-amplitude model reproduced these findings. Thus, small differences in cell-intrinsic parameters contribute to large changes in the oscillatory ability of a cell, but the location of weak oscillators within the network also critically shapes the degree of synchronization for the population. |
| first_indexed | 2024-12-13T23:46:57Z |
| format | Article |
| id | doaj.art-31954a25e23e4f2aa539b464b50428ab |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-12-13T23:46:57Z |
| publishDate | 2012-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-31954a25e23e4f2aa539b464b50428ab2022-12-21T23:26:55ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582012-01-01811e100278710.1371/journal.pcbi.1002787Weakly circadian cells improve resynchrony.Alexis B WebbStephanie R TaylorKurt A ThoroughmanFrancis J DoyleErik D HerzogThe mammalian suprachiasmatic nuclei (SCN) contain thousands of neurons capable of generating near 24-h rhythms. When isolated from their network, SCN neurons exhibit a range of oscillatory phenotypes: sustained or damping oscillations, or arrhythmic patterns. The implications of this variability are unknown. Experimentally, we found that cells within SCN explants recover from pharmacologically-induced desynchrony by re-establishing rhythmicity and synchrony in waves, independent of their intrinsic circadian period We therefore hypothesized that a cell's location within the network may also critically determine its resynchronization. To test this, we employed a deterministic, mechanistic model of circadian oscillators where we could independently control cell-intrinsic and network-connectivity parameters. We found that small changes in key parameters produced the full range of oscillatory phenotypes seen in biological cells, including similar distributions of period, amplitude and ability to cycle. The model also predicted that weaker oscillators could adjust their phase more readily than stronger oscillators. Using these model cells we explored potential biological consequences of their number and placement within the network. We found that the population synchronized to a higher degree when weak oscillators were at highly connected nodes within the network. A mathematically independent phase-amplitude model reproduced these findings. Thus, small differences in cell-intrinsic parameters contribute to large changes in the oscillatory ability of a cell, but the location of weak oscillators within the network also critically shapes the degree of synchronization for the population.http://europepmc.org/articles/PMC3510091?pdf=render |
| spellingShingle | Alexis B Webb Stephanie R Taylor Kurt A Thoroughman Francis J Doyle Erik D Herzog Weakly circadian cells improve resynchrony. PLoS Computational Biology |
| title | Weakly circadian cells improve resynchrony. |
| title_full | Weakly circadian cells improve resynchrony. |
| title_fullStr | Weakly circadian cells improve resynchrony. |
| title_full_unstemmed | Weakly circadian cells improve resynchrony. |
| title_short | Weakly circadian cells improve resynchrony. |
| title_sort | weakly circadian cells improve resynchrony |
| url | http://europepmc.org/articles/PMC3510091?pdf=render |
| work_keys_str_mv | AT alexisbwebb weaklycircadiancellsimproveresynchrony AT stephaniertaylor weaklycircadiancellsimproveresynchrony AT kurtathoroughman weaklycircadiancellsimproveresynchrony AT francisjdoyle weaklycircadiancellsimproveresynchrony AT erikdherzog weaklycircadiancellsimproveresynchrony |