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Dissecting Daily and Circadian Expression Rhythms of Clock-Controlled Genes in Human Blood

Overview of attention for article published in Journal of Biological Rhythms, November 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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101 Mendeley
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Article details
Title
Dissecting Daily and Circadian Expression Rhythms of Clock-Controlled Genes in Human Blood
Published in
Journal of Biological Rhythms, November 2015
DOI 10.1177/0748730415611761
Pubmed ID
Authors
Abstract

The identification and investigation of novel clock-controlled genes (CCGs) has been conducted thus far mainly in model organisms such as nocturnal rodents, with limited information in humans. Here, we aimed to characterize daily and circadian expression rhythms of CCGs in human peripheral blood during a sleep/sleep deprivation (S/SD) study and a constant routine (CR) study. Blood expression levels of 9 candidate CCGs (SREBF1, TRIB1, USF1, THRA1, SIRT1, STAT3, CAPRIN1, MKNK2, and ROCK2), were measured across 48 h in 12 participants in the S/SD study and across 33 h in 12 participants in the CR study. Statistically significant rhythms in expression were observed for STAT3, SREBF1, TRIB1, and THRA1 in samples from both the S/SD and the CR studies, indicating that their rhythmicity is driven by the endogenous clock. The MKNK2 gene was significantly rhythmic in the S/SD but not the CR study, which implies its exogenously driven rhythmic expression. In addition, we confirmed the circadian expression of PER1, PER3, and REV-ERBα in the CR study samples, while BMAL1 and HSPA1B were not significantly rhythmic in the CR samples; all 5 genes previously showed significant expression in the S/SD study samples. Overall, our results demonstrate that rhythmic expression patterns of clock and selected clock-controlled genes in human blood cells are in part determined by exogenous factors (sleep and fasting state) and in part by the endogenous circadian timing system. Knowledge of the exogenous and endogenous regulation of gene expression rhythms is needed prior to the selection of potential candidate marker genes for future applications in medical and forensic settings.

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X Demographics

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Sweden 1 <1%
Unknown 100 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 17%
Researcher 14 14%
Student > Bachelor 12 12%
Student > Master 9 9%
Professor 5 5%
Other 22 22%
Unknown 22 22%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 23 23%
Biochemistry, Genetics and Molecular Biology 20 20%
Medicine and Dentistry 11 11%
Neuroscience 4 4%
Nursing and Health Professions 3 3%
Other 11 11%
Unknown 29 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 October 2025.
All research outputs
#6,544,107
of 24,387,992 outputs
Outputs from Journal of Biological Rhythms
#272
of 726 outputs
Outputs of similar age
#77,643
of 290,272 outputs
Outputs of similar age from Journal of Biological Rhythms
#4
of 13 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 726 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 290,272 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.