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. 2021 Apr 14;11:8112. doi: 10.1038/s41598-021-86821-y

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Overview of the analysis of single-cardiomyocyte transcriptome data by a trans-omics approach. (a) Single-cell RNA-seq data were acquired from mice exposed to pressure overload by transverse aortic constriction (TAC) or sham operation. Day 3 (D3), week 1 (W1), week 2 (W2), week 4 (W4) and week 8 (W8). Marker genes were identified by time-series gene expression profiles at the single-cell level. (b) Biological functions of the marker genes are estimated by a network analysis of interactome data, and regulators of the marker genes are detected by a large-scale analysis of ChIP-seq data.