Evidence map›Paper›PMID 29881643›Full record

ArticleQuantitative biology (Beijing, China)2018

Systems and synthetic biology approaches in understanding biological oscillators.

Zhengda Li, Qiong Yang

Abstract read
In one paragraph

Article in Quantitative biology (Beijing, China), 2018. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Frontiers in cell and developmental biology · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Circadian rhythms and the HPA axis: A systems view.WIREs mechanisms of disease · 2021
    Review
  15. The social nature of mitochondria: Implications for human health.Neuroscience and biobehavioral reviews · 2021
    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.

Zhengda LiDepartment of Biophysics, University of Michigan, Ann Arbor, MI 48109, USA.
Qiong YangDepartment of Biophysics, University of Michigan, Ann Arbor, MI 48109, USA.

Funding

Supplement: Quantitative in vitro and in vivo analyses of oscillatory processes in early zebrafish embryosR35GM119688 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YANG, QIONG · 2016 to 2020
$1.9M
NIGMS NIH HHS R35 GM119688
6 · The paper itself

Abstract

backgroundSelf-sustained oscillations are a ubiquitous and vital phenomenon in living systems. From primitive single-cellular bacteria to the most sophisticated organisms, periodicities have been observed in a broad spectrum of biological processes such as neuron firing, heart beats, cell cycles, circadian rhythms, etc. Defects in these oscillators can cause diseases from insomnia to cancer. Elucidating their fundamental mechanisms is of great significance to diseases, and yet challenging, due to the complexity and diversity of these oscillators.

resultsApproaches in quantitative systems biology and synthetic biology have been most effective by simplifying the systems to contain only the most essential regulators. Here, we will review major progress that has been made in understanding biological oscillators using these approaches. The quantitative systems biology approach allows for identification of the essential components of an oscillator in an endogenous system. The synthetic biology approach makes use of the knowledge to design the simplest,

conclusionWith the recent development of biological and computational tools, both approaches have made significant achievements.

Indexed as

biological oscillatorscircuit design principlessynthetic oscillators

Identifiers

PMID29881643
PMCPMC5987207

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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.