Evidence map›Paper›PMID 26067993›Full record

ArticlePloS one2015

Emergent Self-Organized Criticality in Gene Expression Dynamics: Temporal Development of Global Phase Transition Revealed in a Cancer Cell Line.

Masa Tsuchiya, Alessandro Giuliani, Midori Hashimoto, Jekaterina Erenpreisa, Kenichi Yoshikawa

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Synchronization between Attractors: Genomic Mechanism of Cell-Fate Change.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Spatial-Temporal Genome Regulation in Stress-Response and Cell-Fate Change.International journal of molecular sciences · 2023
    Review
  11. Emergent Criticality in Coupled Boolean Networks.Entropy (Basel, Switzerland) · 2023
    Article
  12. Article
  13. Review
  14. Tipping the Balance: A Criticality Perspective.Entropy (Basel, Switzerland) · 2022
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Four-Types of IIT-Induced Group Integrity ofEntropy (Basel, Switzerland) · 2020
    Article
  20. Article
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.

Masa TsuchiyaSystems Biology Program, School of Media and Governance, Keio University, Fujisawa, Japan.
Alessandro GiulianiEnvironment and Health Department, Istituto Superiore di Sanitá, Rome, Italy.
Midori HashimotoGraduate School of Frontier Science, The University of Tokyo, Kashiwa, Japan.
Jekaterina ErenpreisaLatvian Biomedical Research & Study Centre, Riga, Latvia.
Kenichi YoshikawaFaculty of Life and Medical Sciences, Doshisha University, Kyotanabe, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe underlying mechanism of dynamic control of the genome-wide expression is a fundamental issue in bioscience. We addressed it in terms of phase transition by a systemic approach based on both density analysis and characteristics of temporal fluctuation for the time-course mRNA expression in differentiating MCF-7 breast cancer cells. METHODOLOGY: In a recent work, we suggested criticality as an essential aspect of dynamic control of genome-wide gene expression. Criticality was evident by a unimodal-bimodal transition through flattened unimodal expression profile. The flatness on the transition suggests the existence of a critical transition at which up- and down-regulated expression is balanced. Mean field (averaging) behavior of mRNAs based on the temporal expression changes reveals a sandpile type of transition in the flattened profile. Furthermore, around the transition, a self-similar unimodal-bimodal transition of the whole expression occurs in the density profile of an ensemble of mRNA expression. These singular and scaling behaviors identify the transition as the expression phase transition driven by self-organized criticality (SOC). PRINCIPAL

findingsEmergent properties of SOC through a mean field approach are revealed: i) SOC, as a form of genomic phase transition, consolidates distinct critical states of expression, ii) Coupling of coherent stochastic oscillations between critical states on different time-scales gives rise to SOC, and iii) Specific gene clusters (barcode genes) ranging in size from kbp to Mbp reveal similar SOC to genome-wide mRNA expression and ON-OFF synchronization to critical states. This suggests that the cooperative gene regulation of topological genome sub-units is mediated by the coherent phase transitions of megadomain-scaled conformations between compact and swollen chromatin states. CONCLUSION AND SIGNIFICANCE: In summary, our study provides not only a systemic method to demonstrate SOC in whole-genome expression, but also introduces novel, physically grounded concepts for a breakthrough in the study of biological regulation.

Indexed as

GenomicsTranscriptomeComputer SimulationEpidermal Growth FactorGenome, HumanHumansMCF-7 CellsNeuregulin-1RNA, MessengerEpidermal Growth FactorNeuregulin-1RNA, Messenger

Identifiers

PMID26067993
PMCPMC4465832

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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.