Evidence map›Paper›PMID 41162788›Full record

ArticleNature genetics2025

Spatiotemporal gene expression and cellular dynamics of the developing human heart.

Enikő Lázár, Raphaël Mauron, Žaneta Andrusivová, Julia Foyer, Mengxiao He, Ludvig Larsson, Nick Shakari, Sergio Marco Salas, Christophe Avenel, Sanem Sariyar and 13 more

Abstract read
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  14. Recent advances in omics-based research of mitral valve disease.Frontiers in cardiovascular medicine · 2026
    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

23 authors.

Enikő Lázár *Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden. eniko.lazar@scilifelab.se.ORCID http://orcid.org/0000-0001-8664-7531
Raphaël Mauron *Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0009-0004-0909-3554
Žaneta Andrusivová *Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Julia FoyerDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Mengxiao HeDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0000-0001-5905-8467
Ludvig LarssonDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Nick ShakariDepartment of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0009-0003-2192-769X
Sergio Marco SalasDepartment of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0000-0002-4636-0322
Christophe AvenelDepartment of Information Technology, Uppsala University, Science for Life Laboratory, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-1835-921X
Sanem SariyarDivision of Cellular and Clinical Proteomics, Department of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Jan Niklas HansenDivision of Cellular and Clinical Proteomics, Department of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0000-0002-0489-7535
Marco VicariDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Paulo CzarnewskiDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Emelie BraunDivision of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden.
Xiaofei LiDivision of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Solna, Sweden.ORCID http://orcid.org/0000-0002-9991-7534
Olaf BergmannDepartment of Cell and Molecular Biology, Karolinska Institute, Solna, Sweden.ORCID http://orcid.org/0000-0003-1065-4107
Christer SylvénDepartment of Medicine, Karolinska Institute, Huddinge, Sweden.
Emma LundbergDivision of Cellular and Clinical Proteomics, Department of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Sten LinnarssonDivision of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden.ORCID http://orcid.org/0000-0002-3491-3444
Mats NilssonDepartment of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0000-0001-9985-0387
Erik SundströmDivision of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Solna, Sweden.ORCID http://orcid.org/0000-0003-2931-8015
Igor AdameykoDepartment of Physiology and Pharmacology, Karolinska Institute, Solna, Sweden.ORCID http://orcid.org/0000-0001-5471-0356
Joakim LundebergDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden. joakim.lundeberg@scilifelab.se.ORCID http://orcid.org/0000-0003-4313-1601

Funding

European Molecular Biology Organization (EMBO) Postdoctoral Fellowship ALTF 556-2022Familjen Erling-Perssons Stiftelse (Erling-Persson Family Foundation) HDCAKnut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) 2018.0220
6 · The paper itself

Abstract

Heart development relies on topologically orchestrated cellular transitions and interactions, many of which remain poorly characterized in humans. Here, we combined unbiased spatial and single-cell transcriptomics with imaging-based validation across postconceptional weeks 5.5 to 14 to uncover the molecular landscape of human early cardiogenesis. We present a high-resolution transcriptomic map of the developing human heart, revealing the spatial arrangements of 31 coarse-grained and 72 fine-grained cell states organized into distinct functional niches. Our findings illuminate key insights into the formation of the cardiac pacemaker-conduction system, heart valves and atrial septum, and uncover unexpected diversity among cardiac mesenchymal cells. We also trace the emergence of autonomic innervation and provide the first spatial account of chromaffin cells in the fetal heart. Our study, supported by an open-access spatially centric interactive viewer, offers a unique resource to explore the cellular and molecular blueprint of human heart development, offering links to genetic causes of heart disease.

Indexed as

Gene Expression Regulation, DevelopmentalHeartOrganogenesisGene Expression ProfilingHumansMyocardiumSingle-Cell AnalysisTranscriptome

Identifiers

PMID41162788
PMCPMC12597827

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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.