Evidence map›Paper›PMID 36348104›Full record

ArticleResults and problems in cell differentiation2022

A Unified Genomic Mechanism of Cell-Fate Change.

Masa Tsuchiya, Alessandro Giuliani, Giovanna Zimatore, Jekaterina Erenpreisa, Kenichi Yoshikawa

Abstract read
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In one paragraph

Article in Results and problems in cell differentiation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. From Cell States to Cell Fates: Control of Cell State Transitions.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. Review
  5. Synchronization between Attractors: Genomic Mechanism of Cell-Fate Change.International journal of molecular sciences · 2023
    Review
  6. Spatial-Temporal Genome Regulation in Stress-Response and Cell-Fate Change.International journal of molecular sciences · 2023
    Review
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 TsuchiyaSEIKO Life Science Laboratory, SEIKO Research Institute for Education, Osaka, Japan. tsuchiya.masa@gmail.com.
Alessandro GiulianiEnvironment and Health Department, Istituto Superiore di Sanitá, Rome, Italy. alessandro.giuliani@iss.it.
Giovanna ZimatoreeCampus University, Novedrate, Como, Italy.
Jekaterina ErenpreisaLatvian Biomedical Research and 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

The purpose of our studies is to elucidate the nature of massive control of the whole genome expression with a particular emphasis on cell-fate change. The whole genome expression is coordinated by the emergence of a critical point (CP: a peculiar set of biphasic genes) with the genome acting as an integrated dynamical system. In response to stimuli, the genome expression self-organizes into local sub-, near-, and super-critical states, each exhibiting distinct collective behaviors with its center of mass acting as a local attractor, coexisting with the whole genome attractor (GA). The CP serves as the organizing center of cell-fate change, and its activation makes local perturbation to spread over the genome affecting GA. The activation of CP is in turn elicited by genes with elevated temporal variance (oscillating-mode genes), normally in charge to keep genome expression at pace with microenvironment fluctuations. When oscillation exceeds a given threshold, the CP synchronizes with the GA driving genome expression state transition. The expression synchronization wave invading the entire genome is fostered by the fusion-splitting dynamics of silencing pericentromere-associated heterochromatin domains and the consequent folding-unfolding transitions of transcribing euchromatin domains. The proposed mechanism is a unified step toward a time-evolutional transition theory of biological regulation.

Indexed as

GenomeGenomicsCell DifferentiationBiological statistical mechanicsCell-fate decisionCritical pointGenome attractorGenome engineGenome expressionSelf-organized criticality (SOC)

Identifiers

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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.