Evidence map›Paper›PMID 38563517›Full record

ArticleDevelopment (Cambridge, England)2024

A geometrical model of cell fate specification in the mouse blastocyst.

Archishman Raju, Eric D Siggia

Abstract read
In one paragraph

Article in Development (Cambridge, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. AbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Generative epigenetic landscapes map the topology and topography of cell fates.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Review
  6. Reconstructing Waddington Landscape from Cell Migration and Proliferation.Interdisciplinary sciences, computational life sciences · 2025
    Article
  7. Dynamical systems of fate and form in development.Seminars in cell & developmental biology · 2025
    Review
  8. Review
  9. Article
  10. Information content and optimization of self-organized developmental systems.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

2 authors.

Archishman RajuSimons Centre for the Study of Living Machines, National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore 560065, India.ORCID 0000-0002-6209-7851
Eric D SiggiaCenter for Studies in Physics and Biology, Rockefeller University, New York, NY 10065, USA.ORCID 0000-0001-7482-1854

Funding

Department of Atomic Energy, Government of India RTI4006National Science Foundation PHY-1748958Rockefeller UniversitySimons Foundation 287975
6 · The paper itself

Abstract

The lineage decision that generates the epiblast and primitive endoderm from the inner cell mass (ICM) is a paradigm for cell fate specification. Recent mathematics has formalized Waddington's landscape metaphor and proven that lineage decisions in detailed gene network models must conform to a small list of low-dimensional stereotypic changes called bifurcations. The most plausible bifurcation for the ICM is the so-called heteroclinic flip that we define and elaborate here. Our re-analysis of recent data suggests that there is sufficient cell movement in the ICM so the FGF signal, which drives the lineage decision, can be treated as spatially uniform. We thus extend the bifurcation model for a single cell to the entire ICM by means of a self-consistently defined time-dependent FGF signal. This model is consistent with available data and we propose additional dynamic experiments to test it further. This demonstrates that simplified, quantitative and intuitively transparent descriptions are possible when attention is shifted from specific genes to lineages. The flip bifurcation is a very plausible model for any situation where the embryo needs control over the relative proportions of two fates by a morphogen feedback.

Indexed as

BlastocystCell DifferentiationCell LineageModels, BiologicalAnimalsEndodermFibroblast Growth FactorsGene Expression Regulation, DevelopmentalGerm LayersMiceSignal TransductionFibroblast Growth FactorsDynamical systemsMouse blastocystWaddington landscape

Identifiers

PMID38563517
PMCPMC11112346

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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.