Evidence map›Paper›PMID 39960664›Full record

ArticleGigaScience2025

Exploring the cellular and molecular basis of murine cardiac development through spatiotemporal transcriptome sequencing.

Jingmin Kang, Qingsong Li, Jie Liu, Lin Du, Peng Liu, Fuyan Liu, Yue Wang, Xunan Shen, Xujiao Luo, Ninghe Wang and 4 more

Abstract read
In one paragraph

Article in GigaScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

14 authors.

Jingmin KangBGI Research, Beijing 102601, China.ORCID 0009-0006-5901-5268
Qingsong LiBGI Research, Beijing 102601, China.
Jie LiuCardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100037, China.
Lin DuBGI Research, Beijing 102601, China.
Peng LiuBGI Research, Beijing 102601, China.
Fuyan LiuBGI Research, Beijing 102601, China.
Yue WangBGI Research, Beijing 102601, China.
Xunan ShenBGI Research, Beijing 102601, China.
Xujiao LuoBGI Research, Beijing 102601, China.
Ninghe WangClin Lab, BGI Genomics, Tianjin 300308, China.
Renhua WuClin Lab, BGI Genomics, Tianjin 300308, China.
Lei SongCardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Disease , Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100037, China.ORCID 0000-0001-5958-9321
Jizheng WangState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.ORCID 0000-0002-2961-524X
Xin LiuBGI Research, Beijing 102601, China.ORCID 0000-0003-3256-2940

Funding

CAMSNational Natural Science Foundation of China 82170371
6 · The paper itself

Abstract

backgroundSpatial transcriptomics is a powerful tool that integrates molecular data with spatial information, thereby facilitating a deeper comprehension of tissue morphology and cellular interactions. In our study, we utilized cutting-edge spatial transcriptome sequencing technology to explore the development of the mouse heart and construct a comprehensive spatiotemporal cell atlas of early murine cardiac development.

resultsThrough the analysis of this atlas, we elucidated the spatial organization of cardiac cellular lineages and their interactions during the developmental process. Notably, we observed dynamic changes in gene expression within fibroblasts and cardiomyocytes. Moreover, we identified critical genes, such as Igf2, H19, and Tcap, as well as transcription factors Tcf12 and Plagl1, which may be associated with the loss of myocardial regeneration ability during early heart development. In addition, we successfully identified marker genes, like Adamts8 and Bmp10, that can distinguish between the left and right atria.

conclusionOur study provides novel insights into murine cardiac development and offers a valuable resource for future investigations in the field of heart research, highlighting the significance of spatial transcriptomics in understanding the complex processes of organ development.

Indexed as

Gene Expression ProfilingHeartOrganogenesisTranscriptomeAnimalsFibroblastsGene Expression Regulation, DevelopmentalMiceMyocardiumMyocytes, Cardiacleft and right atriamouse heart developmentmyocardial regeneration abilityspatial transcriptomics

Identifiers

PMID39960664
PMCPMC11831923

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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.