Cited by 383Single-cell and spatial transcriptomicsDevelopmental Biology and Gene RegulationPluripotent Stem Cells Research

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index; 43 of the 60 sources its claims cite were checked for support.

The emergent landscape of the mouse gut endoderm at single-cell resolution

Open access

Abstract

Here we delineate the ontogeny of the mammalian endoderm by generating 112,217 single-cell transcriptomes, which represent all endoderm populations within the mouse embryo until midgestation. We use graph-based approaches to model differentiating cells, which provides a spatio-temporal characterization of developmental trajectories and defines the transcriptional architecture that accompanies the emergence of the first (primitive or extra-embryonic) endodermal population and its sister pluripotent (embryonic) epiblast lineage. We uncover a relationship between descendants of these two lineages, in which epiblast cells differentiate into endoderm at two distinct time points-before and during gastrulation. Trajectories of endoderm cells were mapped as they acquired embryonic versus extra-embryonic fates and as they spatially converged within the nascent gut endoderm, which revealed these cells to be globally similar but retain aspects of their lineage history. We observed the regionalized identity of cells along the anterior-posterior axis of the emergent gut tube, which reflects their embryonic or extra-embryonic origin, and the coordinated patterning of these cells into organ-specific territories.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This study generated 112,217 single-cell transcriptomes spanning mouse endoderm from E3.5 to E8.75 and used graph-based trajectory inference to map endoderm ontogeny. It shows that epiblast cells contribute to endoderm before and during gastrulation, that embryonic and extra-embryonic endoderm converge transcriptionally in the gut tube while retaining lineage memory, and that anterior-posterior organ territories are transcriptionally primed before overt organ formation.

Key findings

  • Profiled 112,217 cells across 13 tissue types from E3.5 to E8.75, covering primitive/extra-embryonic endoderm, definitive/embryonic endoderm, and emergent gut endoderm.
  • Identified an epiblast-to-endoderm contribution: a subset of EPI cells acquired endoderm identity before gastrulation, validated by Sox2-Cre lineage tracing (GFP-positive cells in emVE: 1–5 cells, 10/20 embryos) and tetraploid ESC chimeras (1–5 cells, 9/19 embryos); Ttr-Cre tracing showed no EPI contribution from VE (0/27 embryos).
  • VE and DE descendants intermixed along the E8.75 gut tube AP axis, with DE enriched anteriorly and VE posteriorly; a classifier trained on E7.5 VE/DE cells achieved auROC 0.96 and predicted E8.75 origin with auROC 0.92, indicating retained lineage history.
  • E8.75 gut tube cells ordered along AP pseudo-space matched the stereotypical order of organ identities; TF expression predicted AP pseudo-space with correlation 0.97, and a core set of 20 TFs was identified.

Methods

  • Mouse embryos were collected from E3.5 to E8.75; pre-/early post-implantation stages used whole embryos, while E6.5–E8.75 used endodermal tissue enrichment, including Afp-GFP FACS to separate GFP-positive extra-embryonic and GFP-negative embryonic populations.
  • Single-cell 3′ RNA-seq libraries were generated on the 10x Genomics Chromium platform, with 13 tissue types collected in duplicate or triplicate; bulk RNA-seq, in situ hybridization, immunofluorescence, and lineage tracing were used for validation.
  • Computational analysis combined Harmony to bridge time-points with Palantir for pseudo-time, branch probabilities, and differentiation potential; Phenograph and tSNE were used for clustering/visualization, plus manifold classifiers and sparse regression models for AP pseudo-space and VE/DE classification.

Limitations

  • The paper states that investigators were not blinded to allocation during experiments and outcome assessment.
  • No formal limitations section is present; the text makes evident that findings are restricted to the mouse embryo and rely heavily on computational trajectory inference, with many predictions validated by imaging/ISH rather than functional perturbation.
  • The study notes that Afp-GFP/Ttr-Cre-based discrimination of VE versus DE origin was limited to stages up to E8.75, the latest stage analyzed.

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Integrity signals

Registry

Crossref · 10.1038/s41586-019-1127-1

Cites

59 of 59 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

72 Own result · 32 Own interpretation · 19 Own method · 10 Supported · 9 Partly supported · 5 No full text of the sources · 2 Supported so far · 2 Couldn’t confirm · 2 Not checked yet · 2 No basis given · accuracy not yet measured

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  • Probably not a substantial claim. 25
  • It may state two separate claims as one. 47
  • The quote only partly states this claim. 1
66 of 66
  • The paper relies on this without support.

    The dynamics of key transcription factors and signaling pathway components within the ICM remain unclear.

    “The dynamics of key TFs and signaling pathway components within the ICM remain unclear.”
  • The authors state this as an assumption.

    Regions along pseudo-time where differentiation potential drops represent points where lineage specification and commitment occur.

    “Regions along pseudo-time where DP drops represent points where lineage specification and commitment occur.”
2 of 2

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Citations

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Metadata

Authors
Nowotschin, S., Setty, M., Kuo, Y.-Y., Liu, V., Garg, V., Sharma, R., Simon, C. S., Saiz, N., Gardner, R., Boutet, S. C., Church, D. M., Hoodless, P. A., Hadjantonakis, A.-K., & Pe’er, D.
Affiliations
  • Memorial Sloan Kettering Cancer Center (US)
  • 10X Genomics (United States) (US)
  • BC Cancer Agency (CA)
Corresponding author
  • Hadjantonakis, Anna-Katerina
  • Pe’er, Dana
Venue
Nature
Published
2019-04-08
Volume
569
Issue
7756
Pages
361-367
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2929173597
Cited by
383
References
57
Citations by year
2026: 43 · 2025: 46 · 2024: 64 · 2023: 63 · 2022: 52 · 2021: 52 · 2020: 44 · 2019: 18
FWCI
11.88
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • National Institutes of Health (4r01ca164729-05)
  • National Cancer Institute (R01-CA164729, P30CA008748)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01DK084391)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (DP1HD084071, R01HD094868)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
Keywords
gut endoderm, mouse embryo, single-cell transcriptomics, extraembryonic endoderm, primitive endoderm, gastrulation, cell differentiation trajectories, anterior-posterior axis, lineage history
MeSH terms
Animals, Blastocyst, Cell Differentiation, Endoderm, Female, Intestines, Male, Cell Lineage, Body Patterning, Mice, Gastrulation, Single-Cell Analysis

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