Evidence map›Paper›PMID 25410303›Full record

ArticleScientific reports2014

Stochastic promoter activation affects Nanog expression variability in mouse embryonic stem cells.

Hiroshi Ochiai, Takeshi Sugawara, Tetsushi Sakuma, Takashi Yamamoto

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

66 citing papers in PubMed, 124 citations in OpenAlex.

  1. Review
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  6. Single-Cell Multiomic Analysis of Circadian Rhythmicity in Mouse Liver.bioRxiv : the preprint server for biology · 2025
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  10. Intercellular mRNA transfer alters the human pluripotent stem cell state.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
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  14. Inter-cellular mRNA Transfer Alters Human Pluripotent Stem Cell State.bioRxiv : the preprint server for biology · 2024
    Article
  15. Control of cell state transitions by post-transcriptional regulation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  16. Review
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  20. Article

6 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Hiroshi OchiaiResearch Center for the Mathematics on Chromatin Live Dynamics (RcMcD), Hiroshima University, Higashi-Hiroshima 739-8530, Japan.
Takeshi SugawaraResearch Center for the Mathematics on Chromatin Live Dynamics (RcMcD), Hiroshima University, Higashi-Hiroshima 739-8530, Japan.
Tetsushi SakumaDepartment of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Higashi-Hiroshima 739-8526, Japan.
Takashi Yamamoto1] Research Center for the Mathematics on Chromatin Live Dynamics (RcMcD), Hiroshima University, Higashi-Hiroshima 739-8530, Japan [2] Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Higashi-Hiroshima 739-8526, Japan.
Hiroshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mouse embryonic stem cells (mESCs) are self-renewing and capable of differentiating into any of the three germ layers. An interesting feature of mESCs is the presence of cell-to-cell heterogeneity in gene expression that may be responsible for cell fate decisions. Nanog, a key transcription factor for pluripotency, displays heterogeneous expression in mESCs, via mechanisms that are not fully understood. To understand this variability, we quantitatively analyzed Nanog transcription and found that Nanog was both infrequently transcribed, and transcribed in a pulsatile and stochastic manner. It is possible that such stochastic transcriptional activation could contribute to the heterogeneity observed in Nanog expression as "intrinsic noise." To discriminate the effects of both intrinsic noise from other (extrinsic) noise on the expression variability of Nanog mRNA, we performed allele-specific single-molecule RNA fluorescent in situ hybridization in a reporter cell line and found that intrinsic noise contributed to approximately 45% of the total variability in Nanog expression. Furthermore, we found that Nanog mRNA and protein levels were well correlated in individual cells. These results suggest that stochastic promoter activation significantly affects the Nanog expression variability in mESCs.

Indexed as

Genetic VariationPromoter Regions, GeneticTranscription, GeneticAnimalsBase SequenceCell DifferentiationCell LineEmbryonic Stem CellsGene Expression RegulationHomeodomain ProteinsIn Situ Hybridization, FluorescenceMiceMice, Inbred C57BLMice, TransgenicMolecular Sequence DataNanog Homeobox ProteinHomeodomain ProteinsNanog Homeobox ProteinNanog protein, mouse

Identifiers

PMID25410303
PMCPMC4238020
OpenAlexW1977203045

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Registered trials

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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.