Evidence map›Paper›PMID 42162007›Full record

ArticleScientific data2026

A single-cell RNA sequencing dataset of cardiac aging in African Turquoise Killifish.

Baul Yoon, Yifeng Xu, Ping Zhu, Yuji Zhang, Xiaolei Xu

Abstract readDataset
In one paragraph

Article in Scientific data, 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

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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.

Baul YoonDepartment of Biochemistry and Molecular Biology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Yifeng XuDivision of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Ping ZhuDepartment of Biochemistry and Molecular Biology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Yuji ZhangDivision of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA. yuzhang@som.umaryland.edu.
Xiaolei XuDepartment of Biochemistry and Molecular Biology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA. xu.xiaolei@mayo.edu.

Funding

Epicardial remodeling in cardiomyopathy and cardiac agingR01HL107304 · NHLBI · MAYO CLINIC ROCHESTER · PI Xiaolei Xu · 2011 to 2026
$6.6M
Mayo Clinic Robert & Arlene Kogod Center on AgingNHLBI NIH HHS R01 HL107304NIH HHS R01 HL107304
6 · The paper itself

Abstract

Aging is a major contributor to functional decline of the heart and various cardiovascular diseases. Alterations across different cardiac cell types must be tightly orchestrated during the normative aging process that has begun to be mapped at the transcriptional level through single-cell RNA-sequencing. However, current rodent models are limited in their capacity to experimentally test large numbers of candidate differentially expressed genes (DEGs). As an attractive alternative, the African Turquoise Killifish (ATK) promises more efficient genetic studies of cardiac aging because it has the shortest lifespan among vertebrates. Despite its experimental advantages, single-cell transcriptomic studies on cardiac aging in ATK have not yet been conducted. Here, we generated scRNA-seq profiles of hearts from young and old GRZ strain ATK and demonstrated changes in cellular composition, gene expression, functional pathways, and intercellular communication during cardiac aging. This dataset not only recapitulates previously characterized cardiac aging hallmarks but also highlights the contribution of underappreciated cardiovascular cell types, such as epicardium and immune cell types, to cardiac aging.

Indexed as

AgingFundulidaeHeartMyocardiumAnimalsKillifishesSequence Analysis, RNASingle-Cell Gene Expression AnalysisTranscriptome

Identifiers

PMID42162007
PMCPMC13572473

What Socratic holds

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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 Socratic graph.