Evidence map›Paper›PMID 32358201›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Noise-driven cellular heterogeneity in circadian periodicity.

Yan Li, Yongli Shan, Ravi V Desai, Kimberly H Cox, Leor S Weinberger, Joseph S Takahashi

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 59 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Yan LiDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390-9111.
Yongli ShanDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390-9111.
Ravi V DesaiGladstone/University of California San Francisco Center for Cell Circuitry, Gladstone Institutes, San Francisco, CA 94158.
Kimberly H CoxDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390-9111.
Leor S WeinbergerGladstone/University of California San Francisco Center for Cell Circuitry, Gladstone Institutes, San Francisco, CA 94158.
Joseph S TakahashiDepartment of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390-9111; joseph.takahashi@utsouthwestern.edu.ORCID 0000-0003-0384-8878
The University of Texas Southwestern Medical Center · USGladstone Institutes · USHoward Hughes Medical Institute · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
Modulating Stochastic Gene Expression for Cell-fate Control and TherapeuticsR37AI109593 · NIAID · J. DAVID GLADSTONE INSTITUTES · PI WEINBERGER, LEOR S · 2021 to 2025
$6.2M
Stochastic Gene Expression in Retroviral LatencyR01AI109593 · NIAID · J. DAVID GLADSTONE INSTITUTES · PI WEINBERGER, LEOR S · 2014 to 2018
$2.2M
Biasing cell-fate specification through identification and perturbation of mechanisms regulating noise in NANOG expression.F30HD095614 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DESAI, RAVI · 2018 to 2021
$175k
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI109593NIAID NIH HHS R37 AI109593NICHD NIH HHS F30 HD095614NIGMS NIH HHS T32 GM007618
6 · The paper itself

Abstract

Nongenetic cellular heterogeneity is associated with aging and disease. However, the origins of cell-to-cell variability are complex and the individual contributions of different factors to total phenotypic variance are still unclear. Here, we took advantage of clear phenotypic heterogeneity of circadian oscillations in clonal cell populations to investigate the underlying mechanisms of cell-to-cell variability. Using a fully automated tracking and analysis pipeline, we examined circadian period length in thousands of single cells and hundreds of clonal cell lines and found that longer circadian period is associated with increased intercellular heterogeneity. Based on our experimental results, we then estimated the contributions of heritable and nonheritable factors to this variation in circadian period length using a variance partitioning model. We found that nonheritable noise predominantly drives intercellular circadian period variation in clonal cell lines, thereby revealing a previously unrecognized link between circadian oscillations and intercellular heterogeneity. Moreover, administration of a noise-enhancing drug reversibly increased both period length and variance. These findings suggest that circadian period may be used as an indicator of cellular noise and drug screening for noise control.

Indexed as

Circadian ClocksCircadian RhythmModels, BiologicalAnimalsCells, CulturedLuminescent MeasurementsMiceMouse Embryonic Stem CellsPeriod Circadian ProteinsSingle-Cell AnalysisStochastic ProcessesPeriod Circadian Proteinscircadian oscillationheterogeneity/varianceperiodsingle-cell imagingtranscriptional noise

Identifiers

PMID32358201
PMCPMC7229691
OpenAlexW3021847098

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.