Evidence map›Paper›PMID 32605138›Full record

ArticleInternational journal of molecular sciences2020

Cell-Fate Determination from Embryo to Cancer Development: Genomic Mechanism Elucidated.

Masa Tsuchiya, Alessandro Giuliani, Kenichi Yoshikawa

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 31% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Phase Separation in Chromatin Organization and Human Diseases.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Review
  7. From Cell States to Cell Fates: Control of Cell State Transitions.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. Synchronization between Attractors: Genomic Mechanism of Cell-Fate Change.International journal of molecular sciences · 2023
    Review
  9. Review
  10. Article
  11. 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

3 authors at 3 institutions in 2 countries.

Masa TsuchiyaSEIKO Life Science Laboratory, SRI, Osaka 540-659, Japan.
Alessandro GiulianiEnvironment and Health Department, Istituto Superiore di Sanitá, 00161 Rome, Italy.ORCID 0000-0002-4640-804X
Kenichi YoshikawaFaculty of Life and Medical Sciences, Doshisha University, Kyotanabe 610-0394, Japan.ORCID 0000-0002-2751-7136
Doshisha University · JPIstituto Superiore di Sanità · ITLife Science Institute · JP

Funding

Japan Society for the Promotion of Science 20H01877
6 · The paper itself

Abstract

Elucidation of the genomic mechanism that guides the cell-fate change is one of the fundamental issues of biology. We previously demonstrated that whole genome expression is coordinated by the emergence of a critical point at both the cell-population and single-cell levels through the physical principle of self-organized criticality. In this paper, we further examine the genomic mechanism that determines the cell-fate changes from embryo to cancer development. The state of the critical point, acting as the organizing center of the cell fate, determines whether the genome resides in a super- or sub-critical state. In the super-critical state, a specific stochastic perturbation can spread over the entire system through the "genome engine", an autonomous critical-control genomic system, whereas in the sub-critical state, the perturbation remains at a local level. The cell-fate changes when the genome becomes super-critical. We provide a consistent framework to develop a time-evolutional transition theory for the biological regulation of the cell-fate change.

Indexed as

Cell DifferentiationGene Expression Regulation, DevelopmentalGene Expression Regulation, NeoplasticBiomarkers, TumorCell LineageEmbryo, MammalianGenomicsHumansNeoplasmsSingle-Cell AnalysisBiomarkers, Tumorbiological regulationcell fate decisioncritical pointgenome attractorgenome enginegenome expressionself-organized criticality (SOC)transition theory

Identifiers

PMID32605138
PMCPMC7369777
OpenAlexW3037180695

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.