Evidence map›Paper›PMID 25349387›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

A circadian gene expression atlas in mammals: implications for biology and medicine.

Ray Zhang, Nicholas F Lahens, Heather I Ballance, Michael E Hughes, John B Hogenesch

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,417 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,417citing papers in PubMed, 1 pooled it
49.6field-weighted citation impact, top 1% 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

1,417 citing papers in PubMed, 1 synthesis or guideline pooled it, 2,334 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Neutrophils in cancer.Nature reviews. Cancer · 2026
    Review
  7. Circadian rhythms in health and disease.Molecular biomedicine · 2026
    Review
  8. Article
  9. Article
  10. CircadiOmics: bioinformatics platform for circadian rhythms.Bioinformatics (Oxford, England) · 2026
    Article
  11. Article
  12. Review
  13. Review
  14. Article
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  17. Review
  18. Article
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1,357 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Ray ZhangDepartment of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; and.
Nicholas F LahensDepartment of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; and.
Heather I BallanceDepartment of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; and.
Michael E HughesDepartment of Biology, University of Missouri, St. Louis, MO 63121 hogenesc@mail.med.upenn.edu hughesmi@umsl.edu.
John B HogeneschDepartment of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; and hogenesc@mail.med.upenn.edu hughesmi@umsl.edu.
University of Pennsylvania · USUniversity of Missouri–St. Louis · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
Training in Sleep & Sleep DisordersT32HL007953 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI David Menassah Raizen, AMY M SAWYER · 2000 to 2026
$10.6M
Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Molecular, Cellular and Physiological Mechanisms of the Mammalian Circadian ClockR01NS054794 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI HOGENESCH, JOHN B, LIU, ANDREW C. · 2007 to 2022
$8.1M
Multiscale Analysis of Inter-Clock CommunicationR01HL097800 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A, HOGENESCH, JOHN B · 2009 to 2012
$2.0M
NHGRI NIH HHS T32 HG000046NHGRI NIH HHS T32HG000046NHLBI NIH HHS 5-R01-HL097800-04NHLBI NIH HHS R01 HL097800NHLBI NIH HHS T32 5T32HL007953-13NHLBI NIH HHS T32 HL007953NIEHS NIH HHS P30 ES013508NINDS NIH HHS 1R01NS054794-06NINDS NIH HHS R01 NS054794
6 · The paper itself

Abstract

To characterize the role of the circadian clock in mouse physiology and behavior, we used RNA-seq and DNA arrays to quantify the transcriptomes of 12 mouse organs over time. We found 43% of all protein coding genes showed circadian rhythms in transcription somewhere in the body, largely in an organ-specific manner. In most organs, we noticed the expression of many oscillating genes peaked during transcriptional "rush hours" preceding dawn and dusk. Looking at the genomic landscape of rhythmic genes, we saw that they clustered together, were longer, and had more spliceforms than nonoscillating genes. Systems-level analysis revealed intricate rhythmic orchestration of gene pathways throughout the body. We also found oscillations in the expression of more than 1,000 known and novel noncoding RNAs (ncRNAs). Supporting their potential role in mediating clock function, ncRNAs conserved between mouse and human showed rhythmic expression in similar proportions as protein coding genes. Importantly, we also found that the majority of best-selling drugs and World Health Organization essential medicines directly target the products of rhythmic genes. Many of these drugs have short half-lives and may benefit from timed dosage. In sum, this study highlights critical, systemic, and surprising roles of the mammalian circadian clock and provides a blueprint for advancement in chronotherapy.

Indexed as

Databases, Nucleic AcidAnimalsChronotherapyCircadian RhythmGene Expression ProfilingGene Expression RegulationHumansMiceTranscriptomechronotherapycircadiangene networksgenomicsnoncoding RNA

Identifiers

PMID25349387
PMCPMC4234565
OpenAlexW2133918896

What OpenQuestion holds

Textmetadata
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.