Evidence map›Paper›PMID 39543283›Full record

ArticleNature methods2025

A comprehensive human embryo reference tool using single-cell RNA-sequencing data.

Cheng Zhao, Alvaro Plaza Reyes, John Paul Schell, Jere Weltner, Nicolás M Ortega, Yi Zheng, Åsa K Björklund, Laura Baqué-Vidal, Joonas Sokka, Ras Trokovic and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Nature methods, 2025. 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 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

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4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Cheng ZhaoDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, and Division of Obstetrics and Gynecology, Karolinska Universitetssjukhuset, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-0518-5924
Alvaro Plaza ReyesDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, and Division of Obstetrics and Gynecology, Karolinska Universitetssjukhuset, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-1167-6316
John Paul SchellDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, and Division of Obstetrics and Gynecology, Karolinska Universitetssjukhuset, Stockholm, Sweden.
Jere WeltnerDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, and Division of Obstetrics and Gynecology, Karolinska Universitetssjukhuset, Stockholm, Sweden.
Nicolás M OrtegaDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, and Division of Obstetrics and Gynecology, Karolinska Universitetssjukhuset, Stockholm, Sweden.
Yi ZhengDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-2685-3680
Åsa K BjörklundDepartment of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-2224-7090
Laura Baqué-VidalDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, and Division of Obstetrics and Gynecology, Karolinska Universitetssjukhuset, Stockholm, Sweden.ORCID http://orcid.org/0009-0008-8128-6069
Joonas SokkaStem Cells and Metabolism Research Program, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-0377-8841
Ras TrokovicStem Cells and Metabolism Research Program, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-3065-6663
Brian CoxDepartment of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Janet RossantProgram in Developmental and Stem Cell Biology, Hospital for Sick Children, Toronto, Ontario, Canada.
Jianping FuDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0001-9629-6739
Sophie PetropoulosDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, and Division of Obstetrics and Gynecology, Karolinska Universitetssjukhuset, Stockholm, Sweden. sophie.petropoulos@ki.se.ORCID http://orcid.org/0000-0003-2293-8238
Fredrik LannerDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, and Division of Obstetrics and Gynecology, Karolinska Universitetssjukhuset, Stockholm, Sweden. fredrik.lanner@ki.se.ORCID http://orcid.org/0000-0002-2771-7445

Funding

Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) KAW 2021-0188Vetenskapsrådet (Swedish Research Council) 2023-02582
6 · The paper itself

Abstract

Stem cell-based embryo models offer unprecedented experimental tools for studying early human development. The usefulness of embryo models hinges on their molecular, cellular and structural fidelities to their in vivo counterparts. To authenticate human embryo models, single-cell RNA sequencing has been utilized for unbiased transcriptional profiling. However, an organized and integrated human single-cell RNA-sequencing dataset, serving as a universal reference for benchmarking human embryo models, remains unavailable. Here we developed such a reference through the integration of six published human datasets covering development from the zygote to the gastrula. Lineage annotations are contrasted and validated with available human and nonhuman primate datasets. Using stabilized Uniform Manifold Approximation and Projection, we constructed an early embryogenesis prediction tool, where query datasets can be projected on the reference and annotated with predicted cell identities. Using this reference tool, we examined published human embryo models, highlighting the risk of misannotation when relevant references are not utilized for benchmarking and authentication.

Indexed as

Embryo, MammalianEmbryonic DevelopmentSequence Analysis, RNASingle-Cell AnalysisAnimalsGene Expression ProfilingHumans

Identifiers

PMID39543283
PMCPMC11725501

What OpenQuestion holds

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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.