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Non-Circadian Expression Masking Clock-Driven Weak Transcription Rhythms in U2OS Cells

Overview of attention for article published in PLOS ONE, July 2014
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Title
Non-Circadian Expression Masking Clock-Driven Weak Transcription Rhythms in U2OS Cells
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0102238
Pubmed ID
Authors

Julia Hoffmann, Laura Symul, Anton Shostak, Tamás Fischer, Felix Naef, Michael Brunner

Abstract

U2OS cells harbor a circadian clock but express only a few rhythmic genes in constant conditions. We identified 3040 binding sites of the circadian regulators BMAL1, CLOCK and CRY1 in the U2OS genome. Most binding sites even in promoters do not correlate with detectable rhythmic transcript levels. Luciferase fusions reveal that the circadian clock supports robust but low amplitude transcription rhythms of representative promoters. However, rhythmic transcription of these potentially clock-controlled genes is masked by non-circadian transcription that overwrites the weaker contribution of the clock in constant conditions. Our data suggest that U2OS cells harbor an intrinsically rather weak circadian oscillator. The oscillator has the potential to regulate a large number of genes. The contribution of circadian versus non-circadian transcription is dependent on the metabolic state of the cell and may determine the apparent complexity of the circadian transcriptome.

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Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Switzerland 1 1%
Unknown 65 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Student > Master 11 16%
Researcher 9 13%
Student > Bachelor 8 12%
Student > Doctoral Student 3 4%
Other 8 12%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 37%
Biochemistry, Genetics and Molecular Biology 14 21%
Chemistry 3 4%
Immunology and Microbiology 2 3%
Engineering 2 3%
Other 4 6%
Unknown 17 25%