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. 2021 Jan 18;7:14. doi: 10.1038/s41420-021-00403-5

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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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — A An unsupervised t-SNE plot showed sporadic distributed five HCC clusters in HCC tissues, and hepatocellular cells in para-tumor tissues. B Cellular trajectory of five HCC cells subpopulations and para-tumor hepatocytes. The t-SNE plot revealed the distribution of single cells determined by Monocle. C The direction of the cellular trajectory determined by unsupervised pseudo-time. D Regulatory co-networks of cellular trajectory-related transcription factors and their regulated genes. Genes in yellow circles were the most critical transcription factors. E GOBP functional annotation related to the cellular trajectory. F Plots showed the trends of expression profiles of eight key transcription factors in different subclones as pseudo-time.