Evidence map›Paper›PMID 32774786›Full record

ReviewComputational and structural biotechnology journal2020

Genome-wide circadian regulation: A unique system for computational biology.

Lingying Sun, Junjie Ma, Christoph W Turck, Pin Xu, Guang-Zhong Wang

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  4. Acrolein-triggered atherosclerosisJournal of biomedical research · 2024
    Article
  5. Article
  6. Article
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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

5 authors at 3 institutions in 3 countries.

Lingying SunCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Junjie MaCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Christoph W TurckMax Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich 80804, Germany.
Pin XuDepartment of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390-9111, USA.
Guang-Zhong WangCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Chinese Academy of Sciences · CNMax Planck Institute of Psychiatry · DEThe University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circadian rhythms are 24-hour oscillations affecting an organism at multiple levels from gene expression all the way to tissues and organs. They have been observed in organisms across the kingdom of life, spanning from cyanobacteria to humans. In mammals, the master circadian pacemaker is located in the hypothalamic suprachiasmatic nuclei (SCN) in the brain where it synchronizes the peripheral oscillators that exist in other tissues. This system regulates the circadian activity of a large part of the transcriptome and recent findings indicate that almost every cell in the body has this clock at the molecular level. In this review, we briefly summarize the different factors that can influence the circadian transcriptome, including light, temperature, and food intake. We then summarize recently identified general principles governing genome-scale circadian regulation, as well as future lines of research. Genome-scale circadian activity represents a fascinating study model for computational biology. For this purpose, systems biology methods are promising exploratory tools to decode the global regulatory principles of circadian regulation.

Indexed as

ABSR, Autoregressive Bayesian spectral regressionAMPK, AMP-activated protein kinaseAR, Arrhythmic feedingARSER, Harmonic regression based on autoregressive spectral estimationBMAL1, The aryl hydrocarbon receptor nuclear translocator-like (ARNTL)CCD, Cortical collecting ductCircadian regulatory networkCircadian rhythmsCircadian transcriptomeCR, Calorie-restricted dietCRY, CryptochromeCycling genesDCT/CNT, Distal convoluted tubule and connecting tubuleDD, Dark: darkeJTK_CYCLE, Empirical JTK_CYCLEEnergetic costHF, High fat dietJTK_CYCLE, Jonckheere-Terpstra-Kendall (JTK) cycleKD, Ketogenic dietLB, Ad libitumLD, Light:darkLiver-RE, Liver clock reconstituted BMAL1-deficient miceLS, Lomb-ScargleNAD, Nicotinamide adenine dinucleotidesND, Normal dietNR, Night-restricted feedingPAS, PER-ARNT-SIMPER, PeriodRAIN, Rhythmicity Analysis Incorporating Nonparametric methodsRF, Restricted feedingSCN, Suprachiasmatic nucleusSREBP, The sterol regulatory element binding proteinTTFL, Transcriptional-translational feedback loopWT, Wild type

Identifiers

PMID32774786
PMCPMC7385043
OpenAlexW3041513946

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.