Evidence map›Paper›PMID 39811652›Full record

ArticleiScience2025

Elucidating cardiomyocyte heterogeneity and maturation dynamics through integrated single-cell and spatial transcriptomics.

Xiaoying Wang, Lizhi Cao, Rui Chang, Junwei Shen, Linlin Ma, Yanfei Li

Abstract read
In one paragraph

Article in iScience, 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
  2. Review
  3. Article
  4. Elucidating Gene Functions in Congenital Heart Disease.Current treatment options in cardiovascular medicine · 2026
    Review
  5. GSNOR deletion differentially alters age-related cardiac function in a sex-dependent manner.American journal of physiology. Heart and circulatory physiology · 2026
    Article
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

6 authors.

Xiaoying WangShanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Lizhi CaoShanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Rui ChangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Junwei ShenSchool of Life Sciences and Technology, Tongji University, Shanghai, China.
Linlin MaShanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Yanfei LiShanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intricate development and functionality of the mammalian heart are influenced by the heterogeneous nature of cardiomyocytes (CMs). In this study, single-cell and spatial transcriptomics were utilized to analyze cells from neonatal mouse hearts, resulting in a comprehensive atlas delineating the transcriptional profiles of distinct CM subsets. A continuum of maturation states was elucidated, emphasizing a progressive developmental trajectory rather than discrete stages. This approach enabled the mapping of these states across various cardiac regions, illuminating the spatial organization of CM development and the influence of the cellular microenvironment. Notably, a subset of transitional CMs was identified, characterized by a transcriptional signature marking a pivotal maturation phase, presenting a promising target for therapeutic strategies aimed at enhancing cardiac regeneration. This atlas not only elucidates fundamental aspects of cardiac development but also serves as a valuable resource for advancing research into cardiac physiology and pathology, with significant implications for regenerative medicine.

Indexed as

Cell biologyOmicsTranscriptomics

Identifiers

PMID39811652
PMCPMC11732507

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.