Evidence map›Paper›PMID 40890142›Full record

ArticleScientific data2025

A dataset of spatially resolved transcriptomics of post-natal cardiac development in mice.

Yuqing Zheng, Tianyi Sun, Zhaoli Pu, Li Li, Xingyue Wu, Yan Yang, Ming Lei, Xiaoqiu Tan, Tao Li, Xianhong Ou and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Yuqing Zheng *Key Laboratory of Medical Electrophysiology of the Ministry of Education, Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Tianyi Sun *Department of Pharmacology, University of Oxford, Mansfield Road, Oxford, OX1 3QT, UK.
Zhaoli PuKey Laboratory of Medical Electrophysiology of the Ministry of Education, Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Li LiKey Laboratory of Medical Electrophysiology of the Ministry of Education, Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Xingyue WuKey Laboratory of Medical Electrophysiology of the Ministry of Education, Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Yan YangKey Laboratory of Medical Electrophysiology of the Ministry of Education, Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Ming LeiDepartment of Pharmacology, University of Oxford, Mansfield Road, Oxford, OX1 3QT, UK.ORCID 0000-0002-0928-341X
Xiaoqiu TanKey Laboratory of Medical Electrophysiology of the Ministry of Education, Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China.ORCID 0000-0003-0062-6209
Tao LiKey Laboratory of Medical Electrophysiology of the Ministry of Education, Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China. leta49@swmu.edu.cn.
Xianhong OuKey Laboratory of Medical Electrophysiology of the Ministry of Education, Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China. oxh8081@swmu.edu.cn.ORCID 0000-0002-3143-697X
Tangting ChenKey Laboratory of Medical Electrophysiology of the Ministry of Education, Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China. ctt@swmu.edu.cn.

Funding

Department of Science and Technology of Sichuan Province (Sichuan Provincial Department of Science and Technology) 2024YFFK0180Department of Science and Technology of Sichuan Province (Sichuan Provincial Department of Science and Technology) 2025HJPJ0005National Natural Science Foundation of China (National Science Foundation of China) 31871181National Natural Science Foundation of China (National Science Foundation of China) 81700308
6 · The paper itself

Abstract

The post-natal development and maturation of the mammalian heart involve highly intricate processes that remain incompletely understood, particularly concerning the molecular signature and roles of the diverse cell types involved. In this study, we present a comprehensive dataset generated from murine hearts at three key post-natal developmental stages using Spatio-Temporal Enhanced Resolution Omics-Sequencing (Stereo-seq), an advanced spatially resolved transcriptomic technology. This dataset encompasses spatial transcriptomes of approximately 0.186 million individual cells within intact sections of murine hearts at post-natal developmental stages. Our dataset serves as a valuable resource for investigating the mechanisms underlying mammalian heart development and maturation. Through initial analyses, we identified distinct cell types and their spatial distributions, including 93,826 cardiomyocytes within a single heart section. This extensive dataset provides researchers with opportunities for data mining and facilitates diverse analyses, including studies on transcriptional regulation, cell-to-cell communication, and the functional activities of genes and signalling molecules during critical phases of heart development.

Indexed as

HeartTranscriptomeAnimalsGene Expression ProfilingMiceMyocytes, Cardiac

Identifiers

PMID40890142
PMCPMC12402441

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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.