| Autor: |
Gu, Lanxin, Wang, Zhongyuan, Gu, Hong, Wang, Hua, Liu, Luwei, Zhang, Wei-Bing |
| Rok vydání: |
2023 |
| DOI: |
10.6084/m9.figshare.22623116 |
| Popis: |
Additional file 1: Figure S1. Quality control of ABM scRNA-seq data. (A) Distribution of cells from four samples of ABM in the tSNE dimension showing no significant batch effect. (B) The violin plots showing the distribution of feature_RNA, count_RNA, ercc percentage and mitochondrial RNA percentage after quality control. (C) The variable feature plot showing the expression levels of 18445 genes in all cells. The 2000 genes with the most variable value were labeled red, and the top 10 genes were marked. (D) Heatmap of 11 cell subtypes. Top 5 genes with the highest expression in each subtype were identified and compared between the subtypes. Figure S2. Process of LBM scRNA-seq data and polarization status difference between the two. (A) Cells identified by scRNA-seq were visualized with UMAP. (B) Macrophage cluster was identified according to macrophage marker genes and was visualized with UMAP. (C) ABM and LBM macrophage clusters were combined and batch effects were removed. (D) Recombined macrophage groups were visualized with Tsne. (E) Expression of Arg1, Cd86, Tnf, Nos2 in ABM macrophages and LBM macrophages. ABM, alveolar bone marrow; LBM, long bone marrow. Figure S3. The landscape of genomic chromatin accessibility. (A) The correlative heatmaps of untreated BMDM and LPS-stimulated (M1) BMDM in RNA-seq (upper) and ATAC-seq (lower). (B) The distribution of function regions of different peaks. (C) The location distribution of different peaks distance TSS. (D) Accessible chromatin peak annotation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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