Evidence map›Paper›PMID 41526381›Full record

ArticleNature communications2026

Integrated multi-omic atlas reveals the hierarchy of spatiotemporal regulatory networks of mouse gastrulation.

Xianfa Yang, Bingbing Xie, Penglei Shen, Yingying Chen, Chunjie Li, Fengxiang Tan, Yumeng Yang, Yun Yang, Rui Song, Panpan Mi and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

15 authors.

Xianfa Yang *Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.ORCID http://orcid.org/0000-0002-6843-8055
Bingbing Xie *Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
Penglei Shen *Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
Yingying Chen *Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.ORCID http://orcid.org/0000-0002-0243-8730
Chunjie LiGuangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.ORCID http://orcid.org/0000-0002-1492-4154
Fengxiang TanGuangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
Yumeng YangGuangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
Yun YangGuangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
Rui SongGuangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
Panpan MiGuangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
Zhiwen LiuGuangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
Mingzhu WenGuangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
Patrick P L TamEmbryology Research Unit, Children's Medical Research Institute, University of Sydney, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0001-6950-8388
Shengbao SuoGuangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China. suo_shengbao@gzlab.ac.cn.ORCID http://orcid.org/0009-0008-8943-2956
Naihe JingGuangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China. jing_naihe@gzlab.ac.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31900454National Natural Science Foundation of China (National Science Foundation of China) 32130030National Natural Science Foundation of China (National Science Foundation of China) 32370972National Natural Science Foundation of China (National Science Foundation of China) 32470866
6 · The paper itself

Abstract

Spatiotemporal coordination of cellular and molecular events is crucial for cell fate commitment during mouse gastrulation. However, the high-precision mechanisms governing the timing and spatial dynamics remain poorly understood. Here, we present a time-series single-cell multi-omic dataset of the gastrulating mouse embryos and construct a hierarchical gene regulatory landscape. Integrating this with real three-dimensional transcriptomic coordinate, we created ST-MAGIC and ST-MAGIC (+) atlas, dissecting the spatiotemporal logics of regulatory networks and signaling responsiveness underpinning the lineage commitment at gastrulation. Specifically, we delineated the multi-omic basis for left-right symmetry breaking events in the gastrula and also revealed the spatiotemporal molecular relay for axial mesendoderm lineage, where early and intermediate transcription factors first open the chromatin regions and setup the responsiveness to signaling, followed by terminal factors to consolidate the transcriptomic architecture. In summary, our study presents a spatiotemporal regulatory logic framework of mouse gastrulation for advancing our understanding of mammalian embryogenesis.

Indexed as

GastrulaGastrulationGene Regulatory NetworksAnimalsCell LineageEmbryo, MammalianGene Expression ProfilingGene Expression Regulation, DevelopmentalMiceMultiomicsSignal TransductionSingle-Cell AnalysisTranscription FactorsTranscriptomeTranscription Factors

Identifiers

PMID41526381
PMCPMC12902073

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.