Abstract

Background: Deciphering the cardiomyocyte cell cycle is a critical question in studying heart development and regeneration. We already collected the single-nuclei RNA sequencing (snRNAseq) data from fetal pig hearts and from pigs that underwent apical resection on postnatal day (P) 1 (AR P1 ) followed by myocardial infarction (MI) on P28 (MI P28 ); in these hearts, robust cardiomyocyte proliferation was confirmed. Research questions: Although our previous snRNAseq analyses found cardiomyocyte clusters that primed to proliferate, each of these clusters only appeared at one specific time point; furthermore, these clusters still contain a significant amount of non-cycling cell; and thus, we were unable to distinguish between cardiomyocytes in different phases of the cell cycle. Approach: In this report, we designed a new Autoencoder that only utilized 1646 cell-cycle-specific genes to cluster cardiomyocytes and applied the Autoencoder on pig heart GEO datasets number GSE185289. Results: Five cardiomyocyte clusters (pCM1+2, pCM3-pCM6) were identified. Five proliferation markers (AURKB, MKI67, INCENP, CDCA8, and BRCA5) highly co-expressed in pCM1+2; also, the top enriched gene ontologies of pCM1+2 were all related to cell-cycle. PCM1+2 percentages were ~6% in fetal hearts and ~2-3% in hearts from ARP1MIP28 pigs during the two weeks after MI induction but were nearly undetectable in all other experimental groups and at all other time points. We also identified four transcription factors (E2F8, FOXM1, GLI3, and RAD51) that explicitly coexpressed within pCM1. Also, a pseudo-time trajectory was constructed in Fetal cardiomyocyte, which began at pCM3 (G1/S phase, CCND2 localization), passed through pCM2 (S phase, CCNE2 localization), and ended at pCM1 (M phase, CCNB2 localization). Conclusions: Applying the more precise cell-cycle specific Autoencoder, we found three clusters that likely represented cardiomyocytes at three different cell-cycle stages.

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