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Participation of ventricular trabeculae in neonatal cardiac regeneration leads to ectopic recruitment of Purkinje-like cells

A Publisher Correction to this article was published on 11 September 2024

This article has been updated

Abstract

Unlike adult mammals, newborn mice can regenerate a functional heart after myocardial infarction; however, the precise origin of the newly formed cardiomyocytes and whether the distal part of the conduction system (the Purkinje fiber (PF) network) is properly formed in regenerated hearts remains unclear. PFs, as well as subendocardial contractile cardiomyocytes, are derived from trabeculae, transient myocardial ridges on the inner ventricular surface. Here, using connexin 40-driven genetic tracing, we uncover a substantial participation of the trabecular lineage in myocardial regeneration through dedifferentiation and proliferation. Concomitantly, regeneration disrupted PF network maturation, resulting in permanent PF hyperplasia and impaired ventricular conduction. Proliferation assays, genetic impairment of PF recruitment, lineage tracing and clonal analysis revealed that PF network hyperplasia results from excessive recruitment of PFs due to increased trabecular fate plasticity. These data indicate that PF network hyperplasia is a consequence of trabeculae participation in myocardial regeneration.

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Fig. 1: Cardiomyocytes derived from embryonic trabeculae are overrepresented in regenerated regions after a neonatal MI.
Fig. 2: Cardiomyocytes derived from embryonic trabeculae enter cell cycle and express trabecular immature markers during the regeneration process.
Fig. 3: Persisting defects in the PF network of regenerated hearts.
Fig. 4: The hyperplastic PF network of regenerated hearts has an intermediate phenotype between contractile myocardium and healthy PF network.
Fig. 5: Perturbed electrical propagation in regenerated hearts.
Fig. 6: Hyperplasia of the PF network in response to MI depends on maximal level of Nkx2-5 following a recruitment mechanism.
Fig. 7: Excessive PFs leading to PF network hyperplasia following MI are recruited from perinatal trabeculae.
Fig. 8: Clonal analysis of Cx40-high expressing cells after cardiac regeneration.

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Data availability

All data supporting the findings of this study are found within the manuscript and its Supplementary Information and are available from the corresponding author on reasonable request. The smFISH data are available from Zenodo (https://doi.org/10.5281/zenodo.12773891) (ref. 74). Source data are provided with this paper.

Code availability

All codes used in this study are available from the corresponding author on reasonable request.

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References

  1. Senyo, S. E. et al. Mammalian heart renewal by pre-existing cardiomyocytes. Nature 493, 433–436 (2013).

    Article  CAS  PubMed  Google Scholar 

  2. Haissaguerre, M., Vigmond, E., Stuyvers, B., Hocini, M. & Bernus, O. Ventricular arrhythmias and the His-Purkinje system. Nat. Rev. Cardiol. 13, 155–166 (2016).

    Article  PubMed  Google Scholar 

  3. Miquerol, L. et al. Biphasic development of the mammalian ventricular conduction system. Circ. Res. 107, 153–161 (2010).

    Article  CAS  PubMed  Google Scholar 

  4. Miquerol, L. et al. Architectural and functional asymmetry of the His-Purkinje system of the murine heart. Cardiovasc. Res. 63, 77–86 (2004).

    Article  CAS  PubMed  Google Scholar 

  5. Choquet, C., Kelly, R. G. & Miquerol, L. Nkx2-5 defines distinct scaffold and recruitment phases during formation of the murine cardiac Purkinje fiber network. Nat. Commun. 11, 5300 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Delorme, B. et al. Developmental regulation of connexin 40 gene expression in mouse heart correlates with the differentiation of the conduction system. Dev. Dyn. 204, 358–371 (1995).

    Article  CAS  PubMed  Google Scholar 

  7. Tian, X. et al. Identification of a hybrid myocardial zone in the mammalian heart after birth. Nat. Commun. 8, 87 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Poss, K. D., Wilson, L. G. & Keating, M. T. Heart regeneration in zebrafish. Science 298, 2188–2190 (2002).

    Article  CAS  PubMed  Google Scholar 

  9. Sedmera, D. & Thomas, P. S. Trabeculation in the embryonic heart. BioEssays 18, 607–607 (1996).

    Article  CAS  PubMed  Google Scholar 

  10. Haubner, B. J. et al. Complete cardiac regeneration in a mouse model of myocardial infarction. Aging 4, 966–977 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Emde, B., Heinen, A., Gödecke, A. & Bottermann, K. Wheat germ agglutinin staining as a suitable method for detection and quantification of fibrosis in cardiac tissue after myocardial infarction. Eur. J. Histochem. 58, 315–319 (2014).

    Google Scholar 

  12. Porrello, E. R. et al. Regulation of neonatal and adult mammalian heart regeneration by the miR-15 family. Proc. Natl Acad. Sci. USA 110, 187–192 (2013).

    Article  CAS  PubMed  Google Scholar 

  13. Wang, Z. et al. Mechanistic basis of neonatal heart regeneration revealed by transcriptome and histone modification profiling. Proc. Natl Acad. Sci. USA 116, 18455–18465 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Kretzschmar, K. et al. Profiling proliferative cells and their progeny in damaged murine hearts. Proc. Natl Acad. Sci. USA 115, E12245–E12254 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Pallante, B. A. et al. Contactin-2 expression in the cardiac Purkinje fiber network. Circ. Arrhythmia Electrophysiol. 3, 186–194 (2010).

    Article  CAS  Google Scholar 

  16. Gros, D. et al. Restricted distribution of connexin40, a gap junctional protein, in mammalian heart. Circ. Res. 74, 839–851 (1994).

    Article  CAS  PubMed  Google Scholar 

  17. Kahr, P. C. et al. A novel transgenic Cre allele to label mouse cardiac conduction system: cardiac conduction system mouse model. Dev. Biol. 478, 163–172 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Shekhar, A. et al. Transcription factor ETV1 is essential for rapid conduction in the heart. J. Clin. Invest. 126, 4444–4459 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  19. Kim, K. H. et al. Irx3 is required for postnatal maturation of the mouse ventricular conduction system. Sci. Rep. 6, 1–14 (2016).

    CAS  Google Scholar 

  20. Goodyer, W. R. et al. Transcriptomic profiling of the developing cardiac conduction system at single-cell resolution. Circ. Res. 125, 379–397 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Delgado, C. et al. Neural cell adhesion molecule is required for ventricular conduction system development. Dev. 148, dev199431 (2021).

    Article  CAS  Google Scholar 

  22. van Eif, V. W. W., Stefanovic, S., Mohan, R. A. & Christoffels, V. M. Gradual differentiation and confinement of the cardiac conduction system as indicated by marker gene expression. Biochim. Biophys. Acta Mol. Cell Res. 1867, 11509 (2020).

    Google Scholar 

  23. Liang, X. et al. HCN4 dynamically marks the first heart field and conduction system precursors. Circ. Res. 113, 399–407 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Li, Y. et al. Genetic targeting of Purkinje fibres by Sema3a-CreERT2. Sci Rep. 8, 1–9 (2018).

    Google Scholar 

  25. Meysen, S. et al. Nkx2.5 cell-autonomous gene function is required for the postnatal formation of the peripheral ventricular conduction system. Dev. Biol. 303, 740–753 (2007).

    Article  CAS  PubMed  Google Scholar 

  26. Jay, P. Y. et al. Nkx2-5 mutation causes anatomic hypoplasia of the cardiac conduction system. J. Clin. Invest. 113, 1130–1137 (2004).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Sedmera, D. & Thompson, R. P. Myocyte proliferation in the developing heart. Dev. Dyn. 240, 1322–1334 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. de Boer, B. A., van den Berg, G., de Boer, P. A. J., Moorman, A. F. M. & Ruijter, J. M. Growth of the developing mouse heart: An interactive qualitative and quantitative 3D atlas. Dev. Biol. 368, 203–213 (2012).

    Article  PubMed  Google Scholar 

  29. Challice, C. E. & Virágh, S. The architectural development of the early mammalian heart. Tissue Cell 6, 447–462 (1973).

    Article  Google Scholar 

  30. Liu, X. et al. Cell proliferation fate mapping reveals regional cardiomyocyte cell-cycle activity in subendocardial muscle of left ventricle. Nature https://doi.org/10.1038/s41467-021-25933-5 (2021).

  31. Sánchez-Iranzo, H. et al. Tbx5a lineage tracing shows cardiomyocyte plasticity during zebrafish heart regeneration. Nat. Commun. 9, 428 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  32. Cui, M. et al. Dynamic transcriptional responses to injury of regenerative and non-regenerative cardiomyocytes revealed by single-nucleus RNA sequencing. Dev. Cell 53, 102–116.e8 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Cui, M. et al. Nrf1 promotes heart regeneration and repair by regulating proteostasis and redox balance. Nat. Commun. 12, 1–15 (2021).

    Article  CAS  Google Scholar 

  34. Xiao, Q. et al. A p53-based genetic tracing system to follow postnatal cardiomyocyte expansion in heart regeneration. Dev. 144, 580–589 (2017).

    Article  CAS  Google Scholar 

  35. Kimura, W. et al. Hypoxia fate mapping identifies cycling cardiomyocytes in the adult heart. Nature 523, 226–230 (2015).

    Article  CAS  PubMed  Google Scholar 

  36. Uva, G. D. et al. ERBB2 triggers mammalian heart regeneration by promoting cardiomyocyte dedifferentiation and proliferation. Nat. Cell Biol. 17, 627–638 (2015).

    Article  PubMed  Google Scholar 

  37. Konfino, T., Landa, N., Ben-Mordechai, T. & Leor, J. The type of injury dictates the mode of repair in neonatal and adult heart. J. Am. Heart Assoc. 4, e001320 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  38. Gemberling, M., Karra, R., Dickson, A. L. & Poss, K. D. Nrg1 is an injury-induced cardiomyocyte mitogen for the endogenous heart regeneration program in zebrafish. eLife 2015, 1–17 (2015).

    Google Scholar 

  39. Zhao, L. et al. Notch signaling regulates cardiomyocyte proliferation during zebrafish heart regeneration. Proc. Natl Acad. Sci. USA 111, 1403–1408 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Honkoop, H. et al. Single-cell analysis uncovers that metabolic reprogramming by ErbB2 signaling is essential for cardiomyocyte proliferation in the regenerating heart. eLife 8, 1–27 (2019).

    Article  Google Scholar 

  41. Bersell, K., Arab, S., Haring, B. & Kühn, B. Neuregulin1/ErbB4 signaling induces cardiomyocyte proliferation and repair of heart injury. Cell 138, 257–270 (2009).

    Article  CAS  PubMed  Google Scholar 

  42. DeBenedittis, P. et al. Coupled myovascular expansion directs cardiac growth and regeneration. Development 149, dev200654 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  43. Kikuchi, K. et al. Primary contribution to zebrafish heart regeneration by gata4+ cardiomyocytes. Nature 464, 601–605 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. van Duijvenboden, K. et al. Conserved NPPB+ border zone switches from MEF2- to AP-1-driven gene program. Circulation 140, 864–879 (2019).

    Article  PubMed  Google Scholar 

  45. Sergeeva, I. A. et al. A transgenic mouse model for the simultaneous monitoring of ANF and BNP gene activity during heart development and disease. Cardiovasc. Res. 101, 78–86 (2014).

    Article  CAS  PubMed  Google Scholar 

  46. Friedman, P. L., Stewart, J. R., Fenoglio, J. J. & Wit, A. L. Survival of subendocardial Purkinje fibers after extensive myocardial infarction in dogs. In vitro and in vivo correlations. Circ. Res. 33, 597–611 (1973).

    Article  CAS  PubMed  Google Scholar 

  47. Garcia-Bustos, V. et al. Changes in the spatial distribution of the Purkinje network after acute myocardial infarction in the pig. PLoS ONE 14, 1–17 (2019).

    Article  Google Scholar 

  48. Wang, H. et al. Electrophysiologic conservation of epicardial conduction dynamics after myocardial infarction and natural heart regeneration in newborn piglets. Front. Cardiovasc. Med. 9, 1–10 (2022).

    Google Scholar 

  49. Watanabe, H. et al. Purkinje cardiomyocytes of the adult ventricular conduction system are highly diploid but not uniquely regenerative. J. Cardiovasc. Dev. Dis. 10, 161 (2023).

    CAS  PubMed  PubMed Central  Google Scholar 

  50. Rentschler, S. et al. Myocardial notch signaling reprograms cardiomyocytes to a conduction-like phenotype. Circulation 126, 1058–1066 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Darehzereshki, A. et al. Differential regenerative capacity of neonatal mouse hearts after cryoinjury. Dev. Biol. 399, 91–99 (2015).

    Article  CAS  PubMed  Google Scholar 

  52. Haubner, B. J., Schuetz, T. & Penninger, J. M. A reproducible protocol for neonatal ischemic injury and cardiac regeneration in neonatal mice. Basic Res. Cardiol. 111, 1–10 (2016).

    Article  CAS  Google Scholar 

  53. Porrello, E. R. et al. Transient regeneration potential of the neonatal mouse heart. Science 331, 1078–1080 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Saker, D. M., Walsh-Sukys, M., Spector, M. & Zahka, K. G. Cardiac recovery and survival after neonatal myocardial infarction. Pediatr. Cardiol. 18, 139–142 (1997).

    Article  CAS  PubMed  Google Scholar 

  55. Choquet, C. et al. Nkx2-5 loss of function in the His-Purkinje system hampers its maturation and leads to mechanical dysfunction. J Cardiovasc. Dev. Dis. 10, 194 (2023).

    CAS  PubMed  PubMed Central  Google Scholar 

  56. Maury, P. et al. Cardiac phenotype and long-term follow-up of patients with mutations in NKX2-5 gene. J. Am. Coll. Cardiol. 68, 2389–2390 (2016).

    Article  PubMed  Google Scholar 

  57. Logantha, S. J. R. J. et al. Remodeling of the Purkinje network in congestive heart failure in the rabbit. Circ. Hear. Fail. 14, E007505 (2021).

    CAS  Google Scholar 

  58. Harris, B. S. et al. Remodeling of the peripheral cardiac conduction system in response to pressure overload. AJP Hear. Circ. Physiol. 302, H1712–H1725 (2012).

    Article  CAS  Google Scholar 

  59. Blom, J. N., Lu, X., Arnold, P. & Feng, Q. Myocardial infarction in neonatal mice, a model of cardiac regeneration. J. Vis. Exp. 2016, 1–12 (2016).

    Google Scholar 

  60. Beyer, S., Kelly, R. G. & Miquerol, L. Inducible Cx40-Cre expression in the cardiac conduction system and arterial endothelial cells. Genesis 49, 83–91 (2011).

    Article  CAS  PubMed  Google Scholar 

  61. Srinivas, S. et al. Cre reporter strains produced by targeted insertion of EYFP and ECFP into the ROSA26 locus. BMC Dev. Biol. 1, 1–8 (2001).

    Article  Google Scholar 

  62. Madisen, L. et al. A robust and high-throughput Cre reporting and characterization. Nat. Neurosci. 13, 133–140 (2010).

    Article  CAS  PubMed  Google Scholar 

  63. Snippert, H. J. et al. Intestinal crypt homeostasis results from neutral competition between symmetrically dividing Lgr5 stem cells. Cell 143, 134–144 (2010).

    Article  CAS  PubMed  Google Scholar 

  64. Saga, Y. et al. MesP1 is expressed in the heart precursor cells and required for the formation of a single heart tube. Development 126, 3437–3447 (1999).

    Article  CAS  PubMed  Google Scholar 

  65. Tanaka, M., Chen, Z., Bartunkova, S., Yamasaki, N. & Izumo, S. The cardiac homeobox gene Csx/Nkx2.5 lies genetically upstream of multiple genes essential for heart development. Development 126, 1269–1280 (1999).

    Article  CAS  PubMed  Google Scholar 

  66. Frankish, A. et al. GENCODE reference annotation for the human and mouse genomes. Nucleic Acids Res. 47, D766–D773 (2019).

    Article  CAS  PubMed  Google Scholar 

  67. Yates, A. D. et al. Ensembl 2020. Nucleic Acids Res. 48, D682–D688 (2020).

    CAS  PubMed  Google Scholar 

  68. Marçais, G. & Kingsford, C. A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics 27, 764–770 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  69. Gans, J. D. & Wolinsky, M. Improved assay-dependent searching of nucleic acid sequence databases. Nucleic Acids Res. 36, 1–5 (2008).

    Article  Google Scholar 

  70. Rodriguez, J. M. et al. APPRIS 2017: principal isoforms for multiple gene sets. Nucleic Acids Res. 46, D213–D217 (2018).

    Article  CAS  PubMed  Google Scholar 

  71. Bravo González-Blas, C. et al. SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks. Nat. Methods 20, 1355–1367 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  72. De La Rosa, A. J. et al. Functional suppression of Kcnq1 leads to early sodium channel remodelling and cardiac conduction system dysmorphogenesis. Cardiovasc. Res. 98, 504–514 (2013).

    Article  PubMed  Google Scholar 

  73. Kolesová, H., Olejníčková, V., Kvasilová, A., Gregorovičová, M. & Sedmera, D. Tissue clearing and imaging methods for cardiovascular development. iScience 24, 1–25 (2021).

    Article  Google Scholar 

  74. Boulgakoff, L. & Miquerol, L. Participation of ventricular trabeculae in neonatal cardiac regeneration leads to ectopic recruitment of Purkinje-like cells. Zenodo https://doi.org/10.5281/zenodo.12773891 (2024).

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Acknowledgements

We thank N. Lalevée (Aix-Marseille University, INSERM UMR 1263, C2VN) and B.J. Boukens (Department of Physiology, University Maastricht, Maastricht University Medical Center) for the help in setting up and analyzing the ECGs and the Turing Centre for Living Systems, for financing formations and providing a rich scientific environment. The France-BioImaging infrastructure is supported by the Agence Nationale de la Recherche (ANR) (ANR-10-INBS-04-01, ‘Investissements d’Avenir’). This work was supported by the Centre National de la Recherche Scientifique (L.M.) and Institut National de la Santé et de la Recherche Médicale INSERM (R.G.K.), by grants from the Association Française contre les Myopathies (No. 23711, L.M.) and from the ANR ‘PurkinjeNet’ (L.M.). L.B. is a recipient of a doctoral fellowship from the Ecole Normale Superieure and a doctoral fellowship extension from the Institut Marseille Maladies Rares. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

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L.B. and L.M. conceived the project and designed the experiments; L.B. performed all experiments, image acquisition and data curation with the help of R.S. for surgical procedures; V.O. and D.S. performed optical mapping experiments; L.B. performed the statistical analysis. R.G.K. and L.M. provided funding; R.G.K. reviewed and edited the manuscript; and L.B. and L.M. wrote the manuscript.

Corresponding author

Correspondence to Lucile Miquerol.

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Nature Cardiovascular Research thanks Nikhil Munshi, Kristy Red Horse, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Extended Data

Extended Data Fig. 1 Ventricular trabeculae during development and repartition of their derivatives in the mature heart.

(a) Longitudinal sections of hearts from Cx40-Cre-RFP mice. Cx40 is expressed in the trabeculae, as seen by RFP expression, thus, genetic labeling in Cx40-CreERT2 mice labels CM from the trabeculae. (b) Cartoons summarizing the geometry of the trabeculae and the repartition of their derivatives at fetal, perinatal and mature stages. At E14.5, the trabeculae (cyan) reach their higher density. Thereafter, they progressively coalesce and give rise to subendocardial CMs (light green). Around birth, the innermost part of the embryonic trabeculae is not yet compacted, we call this area ‘perinatal trabeculae’. The perinatal trabeculae give rise to the most subendocardial CMs (dark green) and to the PF network. The compact myocardium and its derivatives are shown in dark gray and gray, respectively. Concomitant with trabeculae compaction, bipotent progenitor from the trabeculae progressively segregate between conductive (purple) and contractile (green) fate. Final maturation extends until the third week of mice life.

Extended Data Fig. 2 Cardiomyocytes derived from perinatal trabeculae are overrepresented in regenerated regions following a neonatal MI.

(a) Experimental workflow. Specific expression of Cx40-Cre in perinatal trabeculae (blue) leads to a mosaic genetic labeling (green) following a E18.5 4’-Hydroxytamoxifen injection. Infarcted area (red) is progressively regenerated, and labeled CMs derived from perinatal trabeculae are overrepresented in regenerated regions (black line) in comparison to the control region (dotted line). (b) Transverse sections of Sham- and MI-operated hearts 21 days after injury. The region of interest (ROI) is drawn in color and the control region in dotted gray. (c) High magnification of the ROI after thresholding of the TdTomato signal. Myocardial wall is divided in 10 radial layers (thin lines and number) from the endocardium (inner) to outer regions. (d) Repartition of TdTomato positive CMs in the regenerated myocardium. The graph is expressed as a percentage of TdTomato area in each radial layer of the ROI, from subendocardial to outer regions, normalized by the total TdTomato area of control region, in MI (red curve) and sham (blue curve). Quantifications were conducted on serial sections bellow the ligation every 140 µm (around 20 sections per hearts). Mean values are displayed, error bar: standard error, Two-sided Wilcoxon’s test. MI N = 7; Sham N = 6. (e) Comparison of the lineage tracing of embryonic trabeculae (E14), and perinatal trabeculae (E18). Area of genetically labeled CMs in each radial layer, from the endocardium to outer regions after an injection of tamoxifen at E14 (light green) or 4’-Hydroxytamoxifen at E18 (dark green), in Sham (full line) or MI (dotted line). The graph is expressed as a percentage of labeling in each radial layer of the control region (e) or ROI (e’) and normalized by the total labeled area in control region. Mean values are displayed, error bar: standard error, Two-sided Wilcoxon’s test. For embryonic trabeculae: MI N = 15; Sham N = 11. For perinatal trabeculae: MI N = 7; Sham N = 6. (f) Cartoon summarizing the repartition on embryonic (light green) and perinatal (dark green) trabeculae in healthy and regenerated hearts.

Source data

Extended Data Fig. 3 Poor sarcomere assembly in the trabeculae-derived myocardium during regeneration.

Actinin immunofluorescence show low (empty arrowhead) to null (white arrowhead) sarcomere assembly in Cx40-GFP-positive CMs from the subendocardial BZ at 5dpi in MI compared to Sham- operated mice. Maximal intensity projection of 7.5µm-thick stacks.

Extended Data Fig. 4 No damage PF network observed in Sham-operated mice.

a) Workflow: Cx40-GFP mice are used to study the damages caused by Sham surgery 1 to 3 days, or 21 days after surgery. (b) Open ventricles of Sham-operated mice 2 and 21 days after surgery. The PF network is visualized thanks to Cx40-GFP. (c) No damage of the PF network was observed at the luminal length at any level (successive transverse sections) in Sham-operated mice. (d) Transverse sections at 2 and 21 days after surgery. The PF network is shown in green with Cx40-GFP at 2dpi and Cntn2 at 21 dpi. Although some infiltrated immune cells (CD45) are seen in the myocardium at 2dpi, no accumulation can be observed, and no loss of Cx40-GFP expression in subendocardial myocardium can be seen neither – contrary to MI-operated mice. At 21 post Sham surgery, WGA staining can be observed in-between CMs, although no WGA rich area can be seen, contrary to MI-operated mice.

Extended Data Fig. 5 Permanent hyperplasia of the PF network and functional defects.

(a) Cntn2-positive area is measured on successive transverse sections spaced 140 µm apart. The ventricular lumen is delimitated automatically using the fluorescent background of the tissue at 21 dpi. Cntn2 staining is thresholded after a gaussian blur of 2 µm. The normalized Cntn2 area per section is expressed as the ratio of Cntn2-positive area divided by the luminal perimeter. (b) Plot showing the normalized Cntn2 area along the apico-basal axis (a-j), in Sham (Bleu) and MI (Red) as measured in (a). MI N = 19; Sh N = 17 Error bars: standard deviation. (c) Whole-mount open left ventricles six months after Sham or MI surgery in Cx40-GFP mice. Hyperplasia of the PF network is visible thanks to Cx40-GFP in all 3 MI. (d) The intermediate phenotype in regenerated heats is permanent. Transverse sections of regenerated hearts 6 months post-injury show heterogenous expression of conductive adhesion molecules (Cntn2) and fast-conducting gap junction (Cx40) in the hyperplastic PF network. White arrowheads: PFs, empty arrow heads: intermediate cells. (e) Longitudinal study of cardiac conduction system function thanks to electrocardiogram recordings in leads II at 3dpi, 9dpi, 21 dpi and 6 months post-injury. Note the recovery of the QRS amplitude following myocardium regeneration, however, ventricular conduction velocity remains slow as evidenced by prolonged QRS duration in MI compared to Sham at all stages. MI N = 5; Sh N = 5.

Source data

Extended Data Fig. 6 Downregulation of most PF-enriched genes in the hyperplastic PF network of regenerated hearts.

a) Transverse section of Sham and MI heart at 21 dpi, processed with 100-plex smFISH. The PF network, ROI shown in purple, was delimited manually, including cells with Cntn2 transcripts (magenta dots). In the MI, only the PF network from the BZ of the infarct was analyzed. The contractile myocardium, ROI shown in gray, includes all the imaged tissue, except the PF region. b) The density of RNA of each PF-enriched gene (transcripts per mm² of tissue), detected by smFISH, was quantified in the contractile myocardium and PF network of Sham and MI at 21 dpi. c) Density of transcripts from CM genes (transcripts per mm²), detected by smFISH, was quantified in the contractile myocardium and PF network (Cntn2+) of Sham and MI at 21 dpi. N: Sham=3, MI = 3. Box plots show the median, the 25th and 75th percentile, and the whiskers denote the minimum and maximum values, respectively. Normality was tested by Shapiro–Wilk test and rejected if p value < 0.01. Homoscedasticity was tested by F- test and rejected if p value < 0.01. Two-sided Student-t-test was used when normality and homoscedasticity were validated. Else, in case of heteroscedasticity the Welch Two samples T-Test was used, and, in case of non-normality, the Two-sided Wilcoxon Rank Test was used. LV: Left ventricle, PM: papillary muscles, ROI, region of interest.

Source data

Extended Data Fig. 7 Dual contribution of trabeculae during neonatal cardiac regeneration.

Trabeculae participate in the regeneration of the contractile myocardium, and are thus found in increased proportions in regenerated myocardium. However, this contribution to the myocardium involves a perdurance of an immature phenotype in the trabeculae during regeneration which prolongs the plasticity between the contractile and conductive fates and results in ectopic conductive commitment. Excessive production of conductive cells is accompanied by incomplete conductive maturation producing a hyperplastic and immature PF network and resulting in altered ventricular conduction.

Extended Data Table 1 Repartition of genetically labeled CMs in regenerated myocardium
Extended Data Table 2 Clonal analysis of Cx40 expressing cells at P1 after cardiac regeneration

Supplementary information

Reporting Summary

Supplementary Table

Resolve genes list.

Supplementary Video 1

Epicardial activation movie control.

Supplementary Video 2

Epicardial activation movie MI.

Supplementary Video 3

Endocardial activation movie control.

Supplementary Video 4

Endocardial activation movie MI.

Source data

Source Data Fig. 1

Statistical source data. Figure 1c: repartition of YFP cardiomyocytes, derived from embryonic trabeculae, in ROI.

Source Data Fig. 2

Statistical source data. Figure 2c: EdU incorporation in the trabecular lineage.

Source Data Fig. 3

Statistical source data. Tab 1 (associated with Fig. 3e): damaged PF network at T0 (1–3 dpi) and 21 dpi. Tab 2 (associated with Fig. 3h): volume of PF network (Cntn2+) at 21 dpi. Tab 3 (associated with Fig. 3i): number of Cntn2+ cells at 21 dpi.

Source Data Fig. 4

Statistical source data. Tab 1 (associated with Fig. 4c): transcripts per mm2 of PF-enriched genes in the PF network (Cntn2+) and contractile myocardium of sham and MI at 21 dpi. Tab 2 (associated with Fig. 4i): PF shape.

Source Data Fig. 5

Statistical source data. Tab 1 (associated with Fig. 5d): ECG recording at 21 dpi (lead II). Tab 2 (associated with Fig. 5e): QRS duration at 21 dpi measured on lead II. Tab 3 (associated with Fig. 5f): angle (deg) and amplitude (mV) of the main activation wave at 21 dpi.

Source Data Fig. 6

Statistical source data. Tab 1 (associated with Fig. 6c): PF proliferation measured as the percentage of EdU-positive nuclei among all PF nuclei. Tab 2 (associated with Fig. 6f): QRS duration at 21 dpi measured on lead II. Tab 3 (associated with Fig. 6g): angle (deg) and amplitude (mV) of the main activation wave at 21 dpi.

Source Data Fig. 7

Statistical source data. (associated with Fig. 7c): percentage of YFP labeling among PFs at 21 dpi.

Source Data Fig. 8

Statistical source data. Tab 1: records of all quantified clones. Tab 2 (associated with Fig. 8c): proportion of clones of each category. Tab 3 (associated with Fig. 8d): proportion of clones within the mixed category. Tab 4 (associated with Fig. 8e): clone size in each clone category. Tab 5 (associated with Fig. 8f): number of daughter cells from each cell type per 100 mother cells.

Source Data Extended Data Fig. 2

Tab 1 (associated with Extended Data Fig. 2d): repartition of tdTomato CMs, derived from perinatal trabeculae, in ROI. Tab 2 (associated with Extended Data Fig. 2e): repartition of labeled cardiomyocytes, derived from embryonic (Tam E14) or perinatal trabeculae (4-OHT E18), in control region and ROI.

Source Data Extended Data Fig. 5

Tab 1 (associated with Extended Data Fig. 5b): normalized PF network area (Cntn2+) from Base to Apex at 21 dpi. Tab 2 (associated with Extended Data Fig. 5e): longitudinal following by ECG recording in lead II.

Source Data Extended Data Fig. 6

Tab 1 (associated with Extended Data Fig. 6b): transcripts per mm2 of PF-enriched genes in the PF network (Cntn2+) and contractile myocardium of sham and MI at 21 dpi. Tab 2 (associated with Extended Data Fig. 6c): transcripts per mm2 of CMs genes in the PF network (Cntn2+) and contractile myocardium of sham and MI at 21 dpi.

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Boulgakoff, L., Sturny, R., Olejnickova, V. et al. Participation of ventricular trabeculae in neonatal cardiac regeneration leads to ectopic recruitment of Purkinje-like cells. Nat Cardiovasc Res 3, 1140–1157 (2024). https://doi.org/10.1038/s44161-024-00530-z

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