Journal of Biological Rhythms

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Register here to gain access to SAGE's 500+ Journals Online

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (10)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Rohling, J.
Right arrow Articles by Meijer, J. H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Rohling, J.
Right arrow Articles by Meijer, J. H.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Journal of Biological Rhythms, Vol. 21, No. 4, 301-313 (2006)
DOI: 10.1177/0748730406290317

Simulation of Day-Length Encoding in the SCN: From Single-Cell to Tissue-Level Organization

Jos Rohling

Department of Molecular Cell Biology, Group Neurophysiology, Leiden University Medical Center, Leiden, The Netherlands, Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands

Lex Wolters

Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands

Johanna H. Meijer

Department of Molecular Cell Biology, Group Neurophysiology, Leiden University Medical Center, Leiden, The Netherlands, J.H.Meijer{at}lumc.nl

The circadian pacemaker of the SCN is a heterogeneous structure containing many single-cell oscillators that display phase differences in gene expression and electrical activity rhythms. Thus far, it is unknown how single neurons contribute to the population signal measured from the SCN. The authors used single-unit electrical activity rhythms that have previously been recorded in SCN slices and investigated in simulation studies how changes in pattern shape and distribution of single neurons alter the ensemble activity rhythm of the SCN. The results were compared with recorded ensemble rhythms. The simulations show that single units should be distributed in phase to render the recorded multiunit waveform and that different distributions can account for the multiunit pattern of the SCN, including a bimodal distribution. Vice versa, the authors show that the single-unit distribution cannot be inferred from the ensemble pattern. Photoperiodic encoding by the SCN relies on changes in waveform of the neuronal output from the SCN and received special attention in this study’s simulations. The authors show that a broadening or narrowing of the multiunit pattern can be based on changes in phase differences between neurons, as well as on changes in the circadian pattern of individual neurons. However, these mechanisms give rise to differences in the maximal discharge level of the multiunit pattern, leading to testable predictions to distinguish between the 2 mechanisms. If single units broaden their activity pattern in long days, the maximum frequency of the multiunit activity should increase, while an increase in phase difference between the single-unit activity rhythms should lead to a decrement in maximum frequency. The simulations also show that coding for day-length by an evening and morning oscillator is not self-evident and will only work under a limited set of conditions in which the distribution within each component and temporal distance between the components is taken into account. While the simulations were based on single-cell and multiunit electrical activity patterns, they are also relevant for understanding the relation between single-cell and population molecular expression profiles.

Key Words: circadian rhythms • suprachiasmatic nucleus • entrainment • photoperiodic encoding • evening/morning oscillators • simulation


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
Proc. Natl. Acad. Sci. USAHome page
S. R. Pulivarthy, N. Tanaka, D. K. Welsh, L. De Haro, I. M. Verma, and S. Panda
Reciprocity between phase shifts and amplitude changes in the mammalian circadian clock
PNAS, December 18, 2007; 104(51): 20356 - 20361.
[Abstract] [Full Text] [PDF]


Home page
J Biol RhythmsHome page
P. Indic, W. J. Schwartz, E. D. Herzog, N. C. Foley, and M. C. Antle
Modeling the Behavior of Coupled Cellular Circadian Oscillators in the Suprachiasmatic Nucleus
J Biol Rhythms, June 1, 2007; 22(3): 211 - 219.
[Abstract] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
N. Inagaki, S. Honma, D. Ono, Y. Tanahashi, and K.-i. Honma
Separate oscillating cell groups in mouse suprachiasmatic nucleus couple photoperiodically to the onset and end of daily activity
PNAS, May 1, 2007; 104(18): 7664 - 7669.
[Abstract] [Full Text] [PDF]


Home page
J Biol RhythmsHome page
D. K. Welsh
Gate Cells See the Light
J Biol Rhythms, February 1, 2007; 22(1): 26 - 28.
[PDF]