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. 2022 Jul 4;10:914450. doi: 10.3389/fbioe.2022.914450

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Copyright © 2022 Nguyen, Wei, Nakada, Zhou and Zhang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Genes associated with both glycolysis and βFAOX were upregulated in CM1 and CM2. The abundance of RNA transcripts for genes that contribute to (A) glycolysis (ABCD1, CPT1B, HADHA, and HADHB) and (B) βFAOX (ACSS2, GPI, and HK1) was measured in cardiomyocytes from each cluster and displayed in a violin plot. The expression was normalized according to the Seurat pipeline: the expression matrix was scaled by the ScaleData function with vars.to.regress set to nUMI and nGenes; then, the scaled expression was log-normalized. (C) Sparse analysis was conducted for the expression of glycolysis and βFAOX genes, and the proportion of cardiomyocytes with high, medium, or low levels of expression was calculated for each cluster.