Evidence map›Paper›PMID 37511359›Full record

ReviewInternational journal of molecular sciences2023

Synchronization between Attractors: Genomic Mechanism of Cell-Fate Change.

Masa Tsuchiya, Paul Brazhnik, Mariano Bizzarri, Alessandro Giuliani

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Masa TsuchiyaSEIKO Life Science Laboratory, SEIKO Research Institute for Education, Osaka 540-6591, Japan.
Paul BrazhnikAcademy of Integrated Science, Virginia Tech, Blacksburg, VA 24061, USA.
Mariano BizzarriSystems Biology Group, Department of Experimental Medicine, University La Sapienza, 00163 Roma, Italy.ORCID 0000-0003-0408-4136
Alessandro GiulianiEnvironment and Health Department, Istituto Superiore di Sanitá, 00161 Rome, Italy.ORCID 0000-0002-4640-804X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, we provide a brief overview of complex systems theory approaches to investigate the genomic mechanism of cell-fate changes. Cell trajectories across the epigenetic landscape, whether in development, environmental responses, or disease progression, are controlled by extensively coordinated genome-wide gene expression changes. The elucidation of the mechanisms underlying these coherent expression changes is of fundamental importance in cell biology and for paving the road to new therapeutic approaches. In previous studies, we pointed at dynamic criticality as a plausible characteristic of genome-wide transition dynamics guiding cell fate. Whole-genome expression develops an engine-like organization (genome engine) in order to establish an autonomous dynamical system, capable of both homeostasis and transition behaviors. A critical set of genes behaves as a critical point (CP) that serves as the organizing center of cell-fate change. When the system is pushed away from homeostasis, the state change that occurs at the CP makes local perturbation spread over the genome, demonstrating self-organized critical (SOC) control of genome expression. Oscillating-Mode genes (which normally keep genome expression on pace with microenvironment fluctuations), when in the presence of an effective perturbative stimulus, drive the dynamics of synchronization, and thus guide the cell-fate transition.

Indexed as

GenomeGenomicsCell Differentiationbiological regulationcell-fate decisioncritical pointgenome attractorgenome enginegenome expressionreversion of cancerself-organized criticality (SOC)transition theory

Identifiers

PMID37511359
PMCPMC10380305

What Socratic 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 Socratic graph.