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groups:westerm:start [2014/11/17 18:31] – [Recent Publications] westermgroups:westerm:start [2016/07/01 14:18] (current) – [Recent Publications] westerm
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 We combine single-cell imaging and biophysical modeling to study how the circadian rhythm changes over age in different tissues in young and old mice. To study how processes in the cell are orchestrated, and how that orchestration might change as an animal age, we combine microarrays with theoretical and bioinformatic methods such as pathway analysis and control analysis. We are committed to using, developing, and discovering theoretical models and frameworks of highest clarity and rigor, and to combine those with state-of-the-art experimental techniques in one of Europe's foremost circadian rhythms labs, in order to advance our knowledge of aging and circadian rhythms. We combine single-cell imaging and biophysical modeling to study how the circadian rhythm changes over age in different tissues in young and old mice. To study how processes in the cell are orchestrated, and how that orchestration might change as an animal age, we combine microarrays with theoretical and bioinformatic methods such as pathway analysis and control analysis. We are committed to using, developing, and discovering theoretical models and frameworks of highest clarity and rigor, and to combine those with state-of-the-art experimental techniques in one of Europe's foremost circadian rhythms labs, in order to advance our knowledge of aging and circadian rhythms.
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 +==== People ====
 +The group currently consists of Dr. Pål Westermark, Paul F. Thaben, Sarah Lück, Dr. Michael Faber, Felix Wesener.
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 +==== RAIN ====
 +Our web service [[http://rain.biologie.hu-berlin.de/rain|RAIN]] allows detection of rhythms in biological time series, using an innovative algorithm developed by our group. The accompanying paper is available in [[http://www.ncbi.nlm.nih.gov/pubmed/25326247|Journal of Biological Rhythms]]. 
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 ==== Recent Publications ==== ==== Recent Publications ====
 +Thaben, P.F., and Westermark, P.O. (2016). Differential rhythmicity: detecting altered rhythmicity in biological data. //Bioinformatics// btw309. [[http://www.ncbi.nlm.nih.gov/pubmed/27207944|PubMed]]
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 +Lück, S., and Westermark, P.O. (2016). Circadian mRNA expression: insights from modeling and transcriptomics //Cellular and Molecular Life Sciences// **73**, 497–521. [[http://www.ncbi.nlm.nih.gov/pubmed/26496725|PubMed]]
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 Lück, S., Thurley, K., Thaben, P.F., and Westermark, P.O. (2014). Rhythmic Degradation Explains and Unifies Circadian Transcriptome and Proteome Data. //Cell Reports// **9**, 741–751. [[http://www.ncbi.nlm.nih.gov/pubmed/25373909|PubMed]] Lück, S., Thurley, K., Thaben, P.F., and Westermark, P.O. (2014). Rhythmic Degradation Explains and Unifies Circadian Transcriptome and Proteome Data. //Cell Reports// **9**, 741–751. [[http://www.ncbi.nlm.nih.gov/pubmed/25373909|PubMed]]
  
-Thaben, P.F., and Westermark, P.O. (2014). Detecting Rhythms in Time Series with RAIN. //J Biol Rhythms//, ePub ahead of print, DOI 10.1177/0748730414553029. [[http://www.ncbi.nlm.nih.gov/pubmed/25326247|PubMed]]+Thaben, P.F., and Westermark, P.O. (2014). Detecting Rhythms in Time Series with RAIN. //Journal of Biological Rhythms// **29**391–400. [[http://www.ncbi.nlm.nih.gov/pubmed/25326247|PubMed]]
  
 Westermark, P.O., and Herzel, H. (2013). Mechanism for 12 Hr Rhythm Generation by the Circadian Clock. //Cell Reports// **3**, 1228–1238. [[http://www.ncbi.nlm.nih.gov/pubmed/23583178|PubMed]] Westermark, P.O., and Herzel, H. (2013). Mechanism for 12 Hr Rhythm Generation by the Circadian Clock. //Cell Reports// **3**, 1228–1238. [[http://www.ncbi.nlm.nih.gov/pubmed/23583178|PubMed]]
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 +49 30 20938970 +49 30 20938970
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