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. 2023 Mar 10;14:1139137. doi: 10.3389/fphar.2023.1139137

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Copyright © 2023 Fan, Zhang, Ding, Du, Zhou and Du.

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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Identification of macrophage cell marker genes by scRNA-seq analysis. (A) Quality control of scRNA-seq data. (B) The variance plot showed 14,175 genes in all cells, red dots represent the top 1500 highly variable genes. (C) PCA was used for dimensionality reduction. (D) 12 PCs were identified based on p < 0.05. (E) The heatmap showed the relative expression of genes in 5 clusters. Yellow represents high expressed genes and purple represents low expressed genes. (F) 5 clusters were visualized based on the t-SNE algorithm. (G) Cell subpopulations identified by marker genes. (H) Venn diagram illustrating macrophage module genes and macrophage marker genes. (I,J) GO and KEGG analysis of macrophage marker genes.