Evidence map›Paper›PMID 31747875›Full record

ArticleBMC genomics2019

A single factor dominates the behavior of rhythmic genes in mouse organs.

Yang Cheng, Yuhao Chi, Luoying Zhang, Guang-Zhong Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Dominant constraints on the evolution of rhythmic gene expression.Computational and structural biotechnology journal · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Genome-wide circadian regulation: A unique system for computational biology.Computational and structural biotechnology journal · 2020
    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

4 authors.

Yang ChengCAS 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, China, Shanghai, 200031, China.
Yuhao ChiCAS 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, China, Shanghai, 200031, China.
Luoying ZhangKey Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.
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, China, Shanghai, 200031, China. guangzhong.wang@picb.ac.cn.ORCID http://orcid.org/0000-0001-6432-8310

Funding

National Key R&D Program of China 2016YFC0901700National Key R&D Program of China 2016YFC1303100National Natural Science Foundation of China 31600960National Natural Science Foundation of China 31871333National Natural Science Foundation of China 81827901
6 · The paper itself

Abstract

backgroundCircadian rhythm, regulated by both internal and external environment of the body, is a multi-scale biological oscillator of great complexity. On the molecular level, thousands of genes exhibit rhythmic transcription, which is both organ- and species-specific, but it remains a mystery whether some common factors could potentially explain their rhythmicity in different organs. In this study we address this question by analyzing the transcriptome data in 12 mouse organs to determine such major impacting factors.

resultsWe found a strong positive correlation between the transcriptional level and rhythmic amplitude of circadian rhythmic genes in mouse organs. Further, transcriptional level could explain over 70% of the variation in amplitude. In addition, the functionality and tissue specificity were not strong predictors of amplitude, and the expression level of rhythmic genes was linked to the energy consumption associated with transcription.

conclusionExpression level is a single major factor impacts the behavior of rhythmic genes in mouse organs. This single determinant implicates the importance of rhythmic expression itself on the design of the transcriptional system. So, rhythmic regulation of highly expressed genes can effectively reduce the energetic cost of transcription, facilitating the long-term adaptive evolution of the entire genetic system.

Indexed as

Gene Expression RegulationTranscriptomeAdipose Tissue, BrownAdipose Tissue, WhiteAdrenal GlandsAnimalsAortaAtlases as TopicBrain StemCerebellumCircadian RhythmCircadian Rhythm Signaling Peptides and ProteinsEnergy MetabolismHypothalamusKidneyLiverCircadian Rhythm Signaling Peptides and ProteinsCircadian rhythmEnergy costRhythmically expressed geneRhythmic gene function

Identifiers

PMID31747875
PMCPMC6868821

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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.