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Single cell RNA-seq and ATAC-seq analysis of cardiac progenitor cell transition states and lineage settlement

Author

Listed:
  • Guangshuai Jia

    (Max Planck Institute for Heart and Lung Research)

  • Jens Preussner

    (Max Planck Institute for Heart and Lung Research
    German Centre for Cardiovascular Research (DZHK), Partner site Rhein-Main)

  • Xi Chen

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Stefan Guenther

    (Max Planck Institute for Heart and Lung Research
    German Centre for Cardiovascular Research (DZHK), Partner site Rhein-Main)

  • Xuejun Yuan

    (Max Planck Institute for Heart and Lung Research
    German Centre for Cardiovascular Research (DZHK), Partner site Rhein-Main)

  • Michail Yekelchyk

    (Max Planck Institute for Heart and Lung Research
    German Centre for Cardiovascular Research (DZHK), Partner site Rhein-Main)

  • Carsten Kuenne

    (Max Planck Institute for Heart and Lung Research
    German Centre for Cardiovascular Research (DZHK), Partner site Rhein-Main)

  • Mario Looso

    (Max Planck Institute for Heart and Lung Research
    German Centre for Cardiovascular Research (DZHK), Partner site Rhein-Main)

  • Yonggang Zhou

    (Max Planck Institute for Heart and Lung Research)

  • Sarah Teichmann

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus
    EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus
    Theory of Condensed Matter, Cavendish Laboratory)

  • Thomas Braun

    (Max Planck Institute for Heart and Lung Research
    German Centre for Cardiovascular Research (DZHK), Partner site Rhein-Main)

Abstract

Formation and segregation of cell lineages forming the heart have been studied extensively but the underlying gene regulatory networks and epigenetic changes driving cell fate transitions during early cardiogenesis are still only partially understood. Here, we comprehensively characterize mouse cardiac progenitor cells (CPCs) marked by Nkx2-5 and Isl1 expression from E7.5 to E9.5 using single-cell RNA sequencing and transposase-accessible chromatin profiling (ATAC-seq). By leveraging on cell-to-cell transcriptome and chromatin accessibility heterogeneity, we identify different previously unknown cardiac subpopulations. Reconstruction of developmental trajectories reveal that multipotent Isl1+ CPC pass through an attractor state before separating into different developmental branches, whereas extended expression of Nkx2-5 commits CPC to an unidirectional cardiomyocyte fate. Furthermore, we show that CPC fate transitions are associated with distinct open chromatin states critically depending on Isl1 and Nkx2-5. Our data provide a model of transcriptional and epigenetic regulations during cardiac progenitor cell fate decisions at single-cell resolution.

Suggested Citation

  • Guangshuai Jia & Jens Preussner & Xi Chen & Stefan Guenther & Xuejun Yuan & Michail Yekelchyk & Carsten Kuenne & Mario Looso & Yonggang Zhou & Sarah Teichmann & Thomas Braun, 2018. "Single cell RNA-seq and ATAC-seq analysis of cardiac progenitor cell transition states and lineage settlement," Nature Communications, Nature, vol. 9(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07307-6
    DOI: 10.1038/s41467-018-07307-6
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    Cited by:

    1. Gayan I. Balasooriya & David L. Spector, 2022. "Allele-specific differential regulation of monoallelically expressed autosomal genes in the cardiac lineage," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Pablo Gómez-del Arco & Joan Isern & Daniel Jimenez-Carretero & Dolores López-Maderuelo & Rebeca Piñeiro-Sabarís & Fadoua El Abdellaoui-Soussi & Carlos Torroja & María Linarejos Vera-Pedrosa & Mercedes, 2024. "The G4 resolvase Dhx36 modulates cardiomyocyte differentiation and ventricular conduction system development," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    3. Angeles Arzalluz-Luque & Pedro Salguero & Sonia Tarazona & Ana Conesa, 2022. "acorde unravels functionally interpretable networks of isoform co-usage from single cell data," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    4. Wei Feng & Abha Bais & Haoting He & Cassandra Rios & Shan Jiang & Juan Xu & Cindy Chang & Dennis Kostka & Guang Li, 2022. "Single-cell transcriptomic analysis identifies murine heart molecular features at embryonic and neonatal stages," Nature Communications, Nature, vol. 13(1), pages 1-19, December.

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