Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Gastrulation

Gastrulation

Gastrulation establishes the three primary tissues of an embryo: the ectoderm, mesoderm, and endoderm. This developmental process relies on a series of intricate cellular movements, which in humans transforms a flat, “bilaminar disc” composed of two cell sheets into a three-tiered structure. In the resulting embryo, the endoderm serves as the bottom layer, and stacked directly above it is the intermediate mesoderm, and then the uppermost ectoderm. Respectively, these tissue strata...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Programmable pathway profiles reveal signaling principles of TGF-β superfamily receptors.

bioRxiv : the preprint server for biology·2026

Same author

Genome-wide chromatin recording resolves dynamic cell state changes.

bioRxiv : the preprint server for biology·2026

Same author

Neural stem cell epigenomes and fate bias are temporally coordinated during mouse cortical development.

Genes & development·2026

Same author

Regenerative base editing enables deep lineage recording.

bioRxiv : the preprint server for biology·2026

Same author

Asynchronous mouse embryo polarization leads to heterogeneity in cell fate specification.

eLife·2025

Same author

IceQream: Quantitative chromosome accessibility analysis using physical TF models.

Nature communications·2025

Same journal

A viral ORFeome library for systems-level genetic dissection of host-pathogen interactions.

Cell·2026

Same journal

Co-option of lysosomal machinery shapes the evolution of the intracellular photosymbiosis supporting coral reefs.

Cell·2026

Same journal

LEF1 and niche factors determine T cell stemness across chronic diseases.

Cell·2026

Same journal

Recurrent patterns of TOP1-mediated neuronal genomic damage shared by major neurodegenerative disorders.

Cell·2026

Same journal

Four-dimensional molecular mapping from a spatial snapshot reveals the dynamics of hair follicle organogenesis.

Cell·2026

Same journal

Whole-cell particle-based digital twin simulations from 4D lattice light-sheet microscopy data.

Cell·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Nov 7, 2025

Author Spotlight: A Pipeline to Analyze Lineage-Specific Mutant Embryos at Single-Cell Resolution

Author Spotlight: A Pipeline to Analyze Lineage-Specific Mutant Embryos at Single-Cell Resolution

Published on: June 14, 2024

A single-embryo, single-cell time-resolved model for mouse gastrulation.

Markus Mittnenzweig¹, Yoav Mayshar², Saifeng Cheng²

¹Department of Computer Science and Applied Mathematics and Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel.

|May 1, 2021

Summary

This summary is machine-generated.

This study introduces a temporal model for mouse gastrulation, revealing that cell fate acquisition involves complex multi-furcation dynamics, not just binary choices. This advances our understanding of embryonic development and cell differentiation.

Keywords:

cell fate decisions chimera assay developmental biology mouse gastrulation network flow model scRNA-seq tetraploid complementation assay trajectory inference

More Related Videos

Live Imaging of Early Cardiac Progenitors in the Mouse Embryo

Live Imaging of Early Cardiac Progenitors in the Mouse Embryo

Published on: July 12, 2022

Quantitative Analysis of Protein Expression to Study Lineage Specification in Mouse Preimplantation Embryos

Quantitative Analysis of Protein Expression to Study Lineage Specification in Mouse Preimplantation Embryos

Published on: February 22, 2016

Related Experiment Videos

Last Updated: Nov 7, 2025

Author Spotlight: A Pipeline to Analyze Lineage-Specific Mutant Embryos at Single-Cell Resolution

Author Spotlight: A Pipeline to Analyze Lineage-Specific Mutant Embryos at Single-Cell Resolution

Published on: June 14, 2024

Live Imaging of Early Cardiac Progenitors in the Mouse Embryo

Live Imaging of Early Cardiac Progenitors in the Mouse Embryo

Published on: July 12, 2022

Quantitative Analysis of Protein Expression to Study Lineage Specification in Mouse Preimplantation Embryos

Quantitative Analysis of Protein Expression to Study Lineage Specification in Mouse Preimplantation Embryos

Published on: February 22, 2016

Area of Science:

Developmental Biology
Genomics
Computational Biology

Background:

Mouse embryonic development is a key model for mammalian cell fate.
Single-cell atlases map embryonic transcriptional landscapes.
Inferring coordinated cell dynamics from these atlases is challenging.

Purpose of the Study:

To develop a temporal model for mouse gastrulation.
To infer differentiation flows and lineage specification dynamics.
To challenge the binary choice model of cell fate acquisition.

Main Methods:

Utilized data from 153 individually sampled mouse embryos over 36 hours.
Employed algorithms and precise timing to analyze transcriptional data.
Used time-matched chimeric embryos of Foxc1/Foxc2 mutants to study mesoderm development.

Main Results:

Inferred differentiation flows and lineage specification dynamics across the embryonic transcriptional manifold.
Identified rapid transcriptional bifurcations for early node and blood cell commitment.
Observed combinatorial multi-furcation dynamics, rather than hierarchical transitions, in most lineages.

Conclusions:

Cell fate acquisition in mouse gastrulation is governed by combinatorial multi-furcation dynamics.
This challenges the traditional view of differentiation as a series of binary choices.
Presents a new quantitative model for understanding cell fate acquisition during embryonic development.