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A single-cell RNA sequencing dataset of cardiac aging in African Turquoise Killifish
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  • Published: 21 May 2026

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

  • Baul Yoon1,
  • Yifeng Xu2,
  • Ping Zhu1,
  • Yuji Zhang2,3 &
  • …
  • Xiaolei Xu1 

Scientific Data (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

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.

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Acknowledgements

We thank Benino Gore, Rachel Helgerson, Anastasia Noiheuan, and Yanyan Liang for ATK management. We also thank the Genomic Analysis Core at Mayo Clinic for support with the single-cell RNA sequencing library preparation, sequencing, and primary data quality control.

Funding

This work was supported by NIH R01 HL107304, NIH R01 HL176555, and an award from Robert & Arlene Kogod Center on Aging, Mayo Clinic, to X.X.

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Authors and Affiliations

  1. Department of Biochemistry and Molecular Biology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA

    Baul Yoon, Ping Zhu & Xiaolei Xu

  2. Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA

    Yifeng Xu & Yuji Zhang

  3. University of Maryland Marlene and Stewart Greenbaum Comprehensive Cancer Center, Baltimore, MD, USA

    Yuji Zhang

Authors
  1. Baul Yoon
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  2. Yifeng Xu
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  3. Ping Zhu
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  4. Yuji Zhang
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  5. Xiaolei Xu
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Corresponding authors

Correspondence to Yuji Zhang or Xiaolei Xu.

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The authors declare no competing interests.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Cite this article

Yoon, B., Xu, Y., Zhu, P. et al. A single-cell RNA sequencing dataset of cardiac aging in African Turquoise Killifish. Sci Data (2026). https://doi.org/10.1038/s41597-026-07449-z

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  • Received: 26 January 2026

  • Accepted: 12 May 2026

  • Published: 21 May 2026

  • DOI: https://doi.org/10.1038/s41597-026-07449-z

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