Evidence map›Paper›PMID 40762476›Full record

ArticleDevelopment (Cambridge, England)2025

Generative model for the first cell fate bifurcation in mammalian development.

Maria Avdeeva, Madeleine Chalifoux, Bradley Joyce, Stanislav Y Shvartsman, Eszter Posfai

Abstract read
In one paragraph

Article in Development (Cambridge, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Maria AvdeevaCenter for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY 10010, USA.ORCID 0000-0002-6366-2269
Madeleine ChalifouxLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Bradley JoyceDepartment of Molecular Biology, Princeton, NJ 08544, USA.
Stanislav Y ShvartsmanCenter for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY 10010, USA.
Eszter PosfaiDepartment of Molecular Biology, Princeton, NJ 08544, USA.ORCID 0000-0002-4871-6652

Funding

Collective dynamics in cell clustersR01GM134204 · NIGMS · PRINCETON UNIVERSITY · PI Stanislav Y. Shvartsman · 2019 to 2026
$2.6M
Geometric and mechanical control of developmental Yap signalingR01HD107026 · NICHD · PRINCETON UNIVERSITY · PI Eszter Posfai · 2022 to 2026
$2.2M
Mechanisms of epiblast and primitive endoderm segregationR01HD110577 · NICHD · PRINCETON UNIVERSITY · PI Eszter Posfai · 2023 to 2026
$1.9M
Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD107026Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD110577National Institute of Child Health and Human Development R01HD107026National Institute of Child Health and Human Development R01HD110577NICHD NIH HHS R01 HD107026NICHD NIH HHS R01 HD110577NIGMS NIH HHS R01 GM134204NIGMS NIH HHS R01GM134204NIH HHSPrinceton University
6 · The paper itself

Abstract

The first cell fate bifurcation in mammalian development directs cells toward either the trophectoderm (TE) or inner cell mass (ICM) compartments in pre-implantation embryos. This decision is regulated by the subcellular localization of a transcriptional co-activator YAP and takes place over several progressively asynchronous cleavage divisions. As a result of this asynchrony and variable arrangement of blastomeres, reconstructing the dynamics of the TE/ICM cell specification from fixed embryos is extremely challenging. To address this, we developed a live-imaging approach and applied it to measure pairwise dynamics of nuclear YAP and its direct target genes, CDX2 and SOX2, which are key transcription factors of the TE and ICM, respectively. Using these datasets, we constructed a generative model of the first cell fate bifurcation, which reveals the time-dependent statistics of the TE and ICM cell allocation. In addition to making testable predictions for the joint dynamics of the full YAP/CDX2/SOX2 motif, the model revealed the stochastic nature of the induction timing of the key cell fate determinants and identified the features of YAP dynamics that are necessary or sufficient for this induction. Notably, temporal heterogeneity was particularly prominent for SOX2 expression among ICM cells. As heterogeneities within the ICM have been linked to the initiation of the second cell fate decision in the embryo, understanding the origins of this variability is of key significance. The presented approach reveals the dynamics of the first cell fate choice and lays the groundwork for dissecting the next cell fate decisions in mouse development.

Indexed as

Cell DifferentiationCell LineageEmbryonic DevelopmentModels, BiologicalAdaptor Proteins, Signal TransducingAnimalsBlastocyst Inner Cell MassBlastomeresCDX2 Transcription FactorCell Cycle ProteinsEmbryo, MammalianFemaleGene Expression Regulation, DevelopmentalMicePhosphoproteinsSOXB1 Transcription FactorsAdaptor Proteins, Signal TransducingCdx2 protein, mouseCDX2 Transcription FactorCell Cycle ProteinsPhosphoproteinsSox2 protein, mouseSOXB1 Transcription FactorsTranscription FactorsYap1 protein, mouseYAP-Signaling ProteinsBayesian modelingFirst cell fate decisionLive imagingMousePreimplantation

Identifiers

PMID40762476
PMCPMC12327801

What Socratic 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 Socratic graph.