Evidence map›Paper›PMID 28220104›Full record

ReviewFrontiers in neurology2017

Systems Biology-Derived Discoveries of Intrinsic Clocks.

Arthur Millius, Hiroki R Ueda

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Circadian ribosome profiling reveals a role for theProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Review
  4. It's about time; divergent circadian clocks in livers of mice and naked mole-rats.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. What's next for chronobiology and drug discovery.Expert opinion on drug discovery · 2017
    Article
  14. Article
  15. Review
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

2 authors at 1 institution in 1 country.

Arthur MilliusLaboratory for Synthetic Biology, RIKEN Quantitative Biology Center , Suita, Osaka , Japan.
Hiroki R UedaLaboratory for Synthetic Biology, RIKEN Quantitative Biology Center, Suita, Osaka, Japan; Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Osaka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A systems approach to studying biology uses a variety of mathematical, computational, and engineering tools to holistically understand and model properties of cells, tissues, and organisms. Building from early biochemical, genetic, and physiological studies, systems biology became established through the development of genome-wide methods, high-throughput procedures, modern computational processing power, and bioinformatics. Here, we highlight a variety of systems approaches to the study of biological rhythms that occur with a 24-h period-circadian rhythms. We review how systems methods have helped to elucidate complex behaviors of the circadian clock including temperature compensation, rhythmicity, and robustness. Finally, we explain the contribution of systems biology to the transcription-translation feedback loop and posttranslational oscillator models of circadian rhythms and describe new technologies and "-omics" approaches to understand circadian timekeeping and neurophysiology.

Indexed as

circadian rhythmmodelsneurophysiologyribosome profilingRNA sequencingsystems biologytheory

Identifiers

PMID28220104
PMCPMC5292584
OpenAlexW2587076041

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.