Evidence map›Paper›PMID 26655902›Full record

ArticleCell reports2015

Cycling Transcriptional Networks Optimize Energy Utilization on a Genome Scale.

Guang-Zhong Wang, Stephanie L Hickey, Lei Shi, Hung-Chung Huang, Prachi Nakashe, Nobuya Koike, Benjamin P Tu, Joseph S Takahashi, Genevieve Konopka

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
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  7. Circadian gene transcription plays a role in cellular metabolism in hibernating brown bears, Ursus arctos.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2023
    Article
  8. Review
  9. Dominant constraints on the evolution of rhythmic gene expression.Computational and structural biotechnology journal · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Circadian Clock Regulates Inflammation and the Development of Neurodegeneration.Frontiers in cellular and infection microbiology · 2021
    Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Guang-Zhong WangDepartment of Neuroscience, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Stephanie L HickeyDepartment of Neuroscience, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Lei ShiDepartment of Biochemistry, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Hung-Chung HuangDepartment of Neuroscience, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Prachi NakasheDepartment of Neuroscience, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Nobuya KoikeDepartment of Neuroscience, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Benjamin P TuDepartment of Biochemistry, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Joseph S TakahashiDepartment of Neuroscience, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Howard Hughes Medical Institute, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. Electronic address: joseph.takahashi@utsouthwestern.edu.
Genevieve KonopkaDepartment of Neuroscience, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. Electronic address: genevieve.konopka@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · US

Funding

Transcriptional Architecture and Chromatin Landscape of Circadian Clocks in AgingR01AG045795 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI GREEN, CARLA B., TAKAHASHI, JOSEPH S · 2013 to 2017
$1.5M
FOXP2-Regulated Signaling Pathways Critical for Higher Cognitive FunctionsR00MH090238 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI KONOPKA, GENEVIEVE · 2011 to 2013
$856k
Identification of human-relevant CLOCK molecular signaling pathwaysR21MH107672 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI KONOPKA, GENEVIEVE · 2015 to 2016
$445k
Howard Hughes Medical InstituteNIA NIH HHS R01 AG045795NIA NIH HHS R01AG045795NIMH NIH HHS R00 MH090238NIMH NIH HHS R00MH090238NIMH NIH HHS R21 MH107672NIMH NIH HHS R21MH107672
6 · The paper itself

Abstract

Genes expressing circadian RNA rhythms are enriched for metabolic pathways, but the adaptive significance of cyclic gene expression remains unclear. We estimated the genome-wide synthetic and degradative cost of transcription and translation in three organisms and found that the cost of cycling genes is strikingly higher compared to non-cycling genes. Cycling genes are expressed at high levels and constitute the most costly proteins to synthesize in the genome. We demonstrate that metabolic cycling is accelerated in yeast grown under higher nutrient flux and the number of cycling genes increases ∼40%, which are achieved by increasing the amplitude and not the mean level of gene expression. These results suggest that rhythmic gene expression optimizes the metabolic cost of global gene expression and that highly expressed genes have been selected to be downregulated in a cyclic manner for energy conservation.

Indexed as

Gene Regulatory NetworksGenomeAnimalsCircadian RhythmDrosophilaEnergy MetabolismGlucoseLiverMetabolic Networks and PathwaysMiceProteomeRNA, MessengerSaccharomyces cerevisiaeTranscriptomeGlucoseProteomeRNA, Messenger

Identifiers

PMID26655902
PMCPMC4680985
OpenAlexW2216814063

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.