Evidence map›Paper›PMID 41300385›Full record

ReviewBiology2025

Spatiotemporal Frameworks of Morphogenesis and Cell Lineage Specification in Pre- and Peri-Implantation Mammalian Embryogenesis: Insights and Knowledge Gaps from Mouse Embryo.

Huanhuan Yang

Abstract readReview
In one paragraph

Review in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Huanhuan YangSchool of Medical Sciences, The University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0001-5884-8336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on mammalian embryogenesis has been revolutionised by rapid technological and methodological advancements. This review seeks to synthesise historical and contemporary studies on mouse embryos to provide comprehensive conceptual frameworks of early embryogenesis. Key research findings from live-cell imaging, fluorescence staining, molecular, and sequencing analyses were reassessed, mainly focusing on in vivo and in vitro mouse embryo models. Through critical reassessment, this review first presents historical progress in mammalian models and culture systems for the study of embryogenesis. Subsequently, it elucidates the spatiotemporal progression of morphological events from pre- to peri-implantation across tissue, cellular, and molecular scales. The critical analysis in this review highlights that prevailing and alternative models for pre-implantation cell lineage specification are not mutually exclusive but, rather, describe complementary aspects of embryogenesis. While multiple factors in peri-implantation cell lineage specification are discussed, establishing integrative theoretical models requires further investigation into the crosstalk between different factors during lineage decision-making. Furthermore, this work identifies that precise spatiotemporal dynamics and mechanisms, particularly those governing the initiation, progression, and maintenance of morphological and lineage decisions, remain major knowledge gaps. Lastly, this review provides critical thinking frameworks for assessing current models and defining specific experimental pathways to address enduring unresolved knowledge gaps regarding early embryogenesis.

Indexed as

cell lineage specificationcritical analysisin vitro modelsin vivo modelsmammalian embryogenesismorphogenesismouse embryoperi-implantation developmentpreimplantation developmentspatiotemporal dynamics

Identifiers

PMID41300385
PMCPMC12650154

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.