Evidence mapPaperPMID 42531359Full record

ReviewCirculation research2026

Decoding Cardiac Development and Maturation at Single-Cell and Spatial Transcriptomic Resolution.

Biyi Li, Xihe Liu, Sean Murphy, Emmanouil Tampakakis, Chulan Kwon

Abstract readReview
In one paragraph

Review in Circulation research, 2026. 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

5 authors.

Biyi LiDivision of Cardiology, Department of Medicine, Department of Biomedical Engineering, Department of Cell Biology, Institute for CardioScience, Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD.ORCID 0000-0002-1084-4050
Xihe LiuDivision of Cardiology, Department of Medicine, Department of Biomedical Engineering, Department of Cell Biology, Institute for CardioScience, Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD.ORCID 0000-0003-2140-7312
Sean MurphyDivision of Cardiology, Department of Medicine, Department of Biomedical Engineering, Department of Cell Biology, Institute for CardioScience, Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD.ORCID 0000-0003-1960-2194
Emmanouil TampakakisDivision of Cardiology, Department of Medicine, Department of Biomedical Engineering, Department of Cell Biology, Institute for CardioScience, Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD.ORCID 0000-0003-3143-6459
Chulan KwonDivision of Cardiology, Department of Medicine, Department of Biomedical Engineering, Department of Cell Biology, Institute for CardioScience, Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD.ORCID 0000-0002-4924-2778

Funding

Targeting Dysregulated Maturation Program in PSC-CardiomyocytesR01HL171205 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$750k
American Heart Association-American Stroke Association 23TPA1058685NHLBI NIH HHS R01 HL156947NHLBI NIH HHS R01 HL171205
6 · The paper itself

Abstract

Recent advances in single-cell transcriptomics have revolutionized our understanding of cardiac development and maturation by resolving cellular heterogeneity, delineating lineage trajectories, and uncovering gene regulatory networks and intercellular signaling at unprecedented resolution. The heart develops through a tightly coordinated spatiotemporal process that extends from early organogenesis through postnatal maturation. Despite major progress, key questions remain unresolved, including the localization and function of rare progenitor populations and the mechanisms that guide cardiomyocyte maturation and loss of regenerative capacity. Spatial transcriptomics has emerged as a powerful complement to single-cell profiling because it preserves the native tissue architecture and reveals how gene expression is organized within anatomic context. Although many spatial studies to date have focused on cardiac disease and injury, emerging developmental data sets spanning embryonic to postnatal stages now enable reconstruction of spatially resolved trajectories of heart formation. Here, we review key findings and limitations from recent single-cell and spatial transcriptomic studies of heart development and maturation and discuss how integrative approaches and advanced computational tools are redefining the molecular and spatial logic of cardiogenesis. These insights are expected to greatly accelerate future regenerative and translational research.

Indexed as

HeartMyocytes, CardiacOrganogenesisSingle-Cell AnalysisTranscriptomeAnimalsCell DifferentiationGene Expression Regulation, DevelopmentalHumansSingle-Cell Gene Expression AnalysisSpatial Transcriptomicsheartorganogenesissingle-cell analysisspatial transcriptomics

Identifiers

PMID42531359
PMCPMC13425939

What Socratic holds

Textmetadata
LicenceTDM
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.