Evidence map›Paper›PMID 32459177›Full record

ArticleeLife2020

Epigenetic inheritance of circadian period in clonal cells.

Yan Li, Yongli Shan, Gokhul Krishna Kilaru, Stefano Berto, Guang-Zhong Wang, Kimberly H Cox, Seung-Hee Yoo, Shuzhang Yang, Genevieve Konopka, Joseph S Takahashi

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  8. Nucleosome destabilization by polyamines.Archives of biochemistry and biophysics · 2022
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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

10 authors at 3 institutions in 2 countries.

Yan LiDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States.ORCID 0000-0003-4962-9910
Yongli ShanDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States.
Gokhul Krishna KilaruDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States.
Stefano BertoDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States.
Guang-Zhong WangDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States.ORCID 0000-0001-6432-8310
Kimberly H CoxDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States.ORCID 0000-0002-7097-9563
Seung-Hee YooDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States.
Shuzhang YangDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States.
Genevieve KonopkaDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States.ORCID 0000-0002-3363-7302
Joseph S TakahashiDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States.ORCID 0000-0003-0384-8878
Southwestern Medical Center · USHoward Hughes Medical Institute · USShanghai Institute of Nutrition and Health · CN

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Circadian oscillations are generated via transcriptional-translational negative feedback loops. However, individual cells from fibroblast cell lines have heterogeneous rhythms, oscillating independently and with different period lengths. Here we showed that heterogeneity in circadian period is heritable and used a multi-omics approach to investigate underlying mechanisms. By examining large-scale phenotype-associated gene expression profiles in hundreds of mouse clonal cell lines, we identified and validated multiple novel candidate genes involved in circadian period determination in the absence of significant genomic variants. We also discovered differentially co-expressed gene networks that were functionally associated with period length. We further demonstrated that global differential DNA methylation bidirectionally regulated these same gene networks. Interestingly, we found that depletion of DNMT1 and DNMT3A had opposite effects on circadian period, suggesting non-redundant roles in circadian gene regulation. Together, our findings identify novel gene candidates involved in periodicity, and reveal DNA methylation as an important regulator of circadian periodicity.

Indexed as

AnimalsCells, CulturedCircadian RhythmClone CellsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3AEpigenesis, GeneticGene Knockdown TechniquesGene Regulatory NetworksGenomeHumansMaleMicePhenotypeDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADnmt1 protein, mouseDNMT3A protein, humanDnmt3a protein, mousecircadian rhythmsDNA methylationfibroblast cell linesmouseneuroscience

Identifiers

PMID32459177
PMCPMC7289596
OpenAlexW3032144722

What OpenQuestion holds

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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.