bioRxivDevelopmental BiologyPreprint
A tight balance of anabolic mTORC1 signaling and catabolic autophagic activity regulates zebrafish heart regeneration
Mohankrishna Dalvoy VasudevaraoiD, Astrid S. Pfister, Alberto BertozziiD, Thomas KurthiD, Gilbert WeidingeriD
Abstract
Zebrafish can regenerate the heart by proliferation of cardiomyocytes. While the innate immune response and wound re-vascularization are pre-requisites for cardiomyocyte regeneration, little is known about signals linking early injury responses with the initiations of regenerative programs in cardiomyocytes. Here we show that mTOR (mechanistic target of rapamycin) signaling is rapidly activated in response to heart injury in many cell types of the heart including endothelial cells, cardiomyocytes and macrophages, but surprisingly not in neutrophils. We find that mTORC2 regulates macrophage recruitment to the wound, while mTORC1 is required for wound debris clearance by macrophages. In addition, mTOR signaling is required for wound re-vascularization. Interestingly, it also appears to directly regulate cardiomyocyte dedifferentiation and proliferation, making mTOR signaling a central hub for regenerative responses. Anabolic mTOR signaling acts as potent inhibitor of catabolic autophagy in many systems. Yet, we observed upregulation of autophagy within border zone cardiomyocytes where mTOR signaling is active. We show that mTOR signaling limits, but does not block autophagy, and that autophagic flux is regulated by both inhibitory mTOR signaling and stimulatory JNK and MEK pathways. Our results indicate that a fine-balanced anabolic and catabolic injury response is essential for zebrafish heart regeneration. Furthermore, they reveal interesting differences in the regulation of mTOR signaling and autophagy between the regenerative zebrafish heart and non-regenerative mammalian hearts.
- organism: zebrafish
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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