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. 2022 Jun 21;10:880320. doi: 10.3389/fcell.2022.880320

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Copyright © 2022 Zhang, Qiu, Zheng, Yang, Ye, He, Li and Chen.

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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Heterogeneity of fibroblast cells in human ascending thoracic aortic walls. (A) UMAP plot of fibroblast cells colored according to identified clusters. (B) Nine subclusters of T cells were identified and color-coded as shown in the UMAP plot. (C) The cell composition proportion of fibroblast subclusters. (D) Correlation analysis of T cell subclusters. (E) Heatmap showing the top five genes and their relative expression in each sub-cluster of fibroblast cells. (F) The RNA velocity analysis shows the possible transition between different cluster cells. The arrow shows the direction of transformation. (G) The violin diagram shows some special changed genes in subclusters of diseases. (H) The significantly changed pathways in each subcluster were shown with GO enrichment analysis. A: disease a, B: disease b, N: normal.