Quantification of circadian rhythms in single cells.

Bioluminescence techniques allow accurate monitoring of the circadian clock in single cells. We have analyzed bioluminescence data of Per gene expression in mouse SCN neurons and fibroblasts. From these data, we extracted parameters such as damping rate and noise intensity using two simple mathemati...

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Main Authors: Pål O Westermark, David K Welsh, Hitoshi Okamura, Hanspeter Herzel
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-11-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC2776301?pdf=render
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author Pål O Westermark
David K Welsh
Hitoshi Okamura
Hanspeter Herzel
author_facet Pål O Westermark
David K Welsh
Hitoshi Okamura
Hanspeter Herzel
author_sort Pål O Westermark
collection DOAJ
description Bioluminescence techniques allow accurate monitoring of the circadian clock in single cells. We have analyzed bioluminescence data of Per gene expression in mouse SCN neurons and fibroblasts. From these data, we extracted parameters such as damping rate and noise intensity using two simple mathematical models, one describing a damped oscillator driven by noise, and one describing a self-sustained noisy oscillator. Both models describe the data well and enabled us to quantitatively characterize both wild-type cells and several mutants. It has been suggested that the circadian clock is self-sustained at the single cell level, but we conclude that present data are not sufficient to determine whether the circadian clock of single SCN neurons and fibroblasts is a damped or a self-sustained oscillator. We show how to settle this question, however, by testing the models' predictions of different phases and amplitudes in response to a periodic entrainment signal (zeitgeber).
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spelling doaj.art-547d2239cc7a40db9c7cb1989afe8f132022-12-21T23:31:55ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582009-11-01511e100058010.1371/journal.pcbi.1000580Quantification of circadian rhythms in single cells.Pål O WestermarkDavid K WelshHitoshi OkamuraHanspeter HerzelBioluminescence techniques allow accurate monitoring of the circadian clock in single cells. We have analyzed bioluminescence data of Per gene expression in mouse SCN neurons and fibroblasts. From these data, we extracted parameters such as damping rate and noise intensity using two simple mathematical models, one describing a damped oscillator driven by noise, and one describing a self-sustained noisy oscillator. Both models describe the data well and enabled us to quantitatively characterize both wild-type cells and several mutants. It has been suggested that the circadian clock is self-sustained at the single cell level, but we conclude that present data are not sufficient to determine whether the circadian clock of single SCN neurons and fibroblasts is a damped or a self-sustained oscillator. We show how to settle this question, however, by testing the models' predictions of different phases and amplitudes in response to a periodic entrainment signal (zeitgeber).http://europepmc.org/articles/PMC2776301?pdf=render
spellingShingle Pål O Westermark
David K Welsh
Hitoshi Okamura
Hanspeter Herzel
Quantification of circadian rhythms in single cells.
PLoS Computational Biology
title Quantification of circadian rhythms in single cells.
title_full Quantification of circadian rhythms in single cells.
title_fullStr Quantification of circadian rhythms in single cells.
title_full_unstemmed Quantification of circadian rhythms in single cells.
title_short Quantification of circadian rhythms in single cells.
title_sort quantification of circadian rhythms in single cells
url http://europepmc.org/articles/PMC2776301?pdf=render
work_keys_str_mv AT palowestermark quantificationofcircadianrhythmsinsinglecells
AT davidkwelsh quantificationofcircadianrhythmsinsinglecells
AT hitoshiokamura quantificationofcircadianrhythmsinsinglecells
AT hanspeterherzel quantificationofcircadianrhythmsinsinglecells