Evidence map›Paper›PMID 37982461›Full record

ArticleDevelopment (Cambridge, England)2024

Tracking early mammalian organogenesis - prediction and validation of differentiation trajectories at whole organism scale.

Ivan Imaz-Rosshandler, Christina Rode, Carolina Guibentif, Luke T G Harland, Mai-Linh N Ton, Parashar Dhapola, Daniel Keitley, Ricard Argelaguet, Fernando J Calero-Nieto, Jennifer Nichols and 3 more

Erratum issuedOpen access · hybridAbstract 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. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Gestational exposure to PMJournal of advanced research · 2026
    Article
  4. bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 8 institutions in 6 countries.

Ivan Imaz-RosshandlerDepartment of Haematology, University of Cambridge, Cambridge CB2 0RE, UK.ORCID 0000-0001-5975-0138
Christina RodeMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DS, UK.ORCID 0000-0002-9951-6757
Carolina GuibentifDepartment of Microbiology and Immunology, University of Gothenburg, 405 30 Gothenburg, Sweden.ORCID 0000-0003-1056-9922
Luke T G HarlandDepartment of Haematology, University of Cambridge, Cambridge CB2 0RE, UK.ORCID 0000-0002-2821-5893
Mai-Linh N TonDepartment of Haematology, University of Cambridge, Cambridge CB2 0RE, UK.ORCID 0000-0001-6965-0528
Parashar DhapolaDivision of Molecular Hematology, Lund Stem Cell Center, Lund University, 221 00 Lund, Sweden.ORCID 0000-0002-8070-7238
Daniel KeitleyDepartment of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK.ORCID 0000-0002-6418-2849
Ricard ArgelaguetEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0003-3199-3722
Fernando J Calero-NietoWellcome-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 0AW, UK.ORCID 0000-0003-3358-8253
Jennifer NicholsWellcome-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 0AW, UK.ORCID 0000-0002-8650-1388
John C MarioniWellcome Sanger Institute, Wellcome Genome Campus, Saffron Walden CB10 1SA, UK.ORCID 0000-0001-9092-0852
Marella F T R de BruijnMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DS, UK.ORCID 0000-0002-4934-4125
Berthold GöttgensDepartment of Haematology, University of Cambridge, Cambridge CB2 0RE, UK.ORCID 0000-0001-6302-5705
Wellcome/MRC Cambridge Stem Cell Institute · GBJohn Radcliffe Hospital · GBBabraham Institute · GBEuropean Bioinformatics Institute · GBLund University · SEMRC Laboratory of Molecular Biology · GBUniversity of Cambridge · GBUniversity of Gothenburg · SE

Funding

Blood Cancer UKCancer Research UK C9545/A29580Medical Research Council MC_PC_17230Medical Research Council MC_UU_00016/2Medical Research Council MC_UU_00029/5Wellcome Trust 203151Wellcome Trust 203942
6 · The paper itself

Abstract

Early organogenesis represents a key step in animal development, during which pluripotent cells diversify to initiate organ formation. Here, we sampled 300,000 single-cell transcriptomes from mouse embryos between E8.5 and E9.5 in 6-h intervals and combined this new dataset with our previous atlas (E6.5-E8.5) to produce a densely sampled timecourse of >400,000 cells from early gastrulation to organogenesis. Computational lineage reconstruction identified complex waves of blood and endothelial development, including a new programme for somite-derived endothelium. We also dissected the E7.5 primitive streak into four adjacent regions, performed scRNA-seq and predicted cell fates computationally. Finally, we defined developmental state/fate relationships by combining orthotopic grafting, microscopic analysis and scRNA-seq to transcriptionally determine cell fates of grafted primitive streak regions after 24 h of in vitro embryo culture. Experimentally determined fate outcomes were in good agreement with computationally predicted fates, demonstrating how classical grafting experiments can be revisited to establish high-resolution cell state/fate relationships. Such interdisciplinary approaches will benefit future studies in developmental biology and guide the in vitro production of cells for organ regeneration and repair.

Indexed as

GastrulationOrganogenesisAnimalsCell DifferentiationEmbryo, MammalianEndotheliumMammalsMicePrimitive StreakCell fate and differentiationHaematopoiesisMouse developmentSingle-cell transcriptomics

Identifiers

PMID37982461
PMCPMC10906099
OpenAlexW4388828078

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.