Figure4

Figure4: ATAC-5c versus RNA-5c. ATACseq regions are associated with genes; counts associated with each gene indicate the number of reads detected by ATACseq within the genomic coordinates of each gene. A) Cells were represented on the basis of the number of genes supported by at least 3 UMI and plotted with respect to the total number of UMI in each cell. B) Seurat clustering (resolution: 0.6) of the cells’ ATACseq counts. C) SCA pseudo-bulk Pearson similarity among ATACseq clusters (a1-6) and scRNAseq (X1-5, Figure 2A). Square boxes indicate the highest similarity among clusters: a1/X1, a4/X3 and a6/X5.<br>Figure 4Asomewhere_in_your_computer/fig4/atac_seq3/2_Atac_Genes/umiPlotGSM4224433.pdf<br>Figure4B<br>somewhere_in_your_computer/fig4/atac_seq3/3_Atac_Genes_filtered/Clustering_&amp;_PseudoBulk/annotated_matrix/6/annotated_matrix_Stability_Plot.pdf<br>Figure4Csomewhere_in_your_computer/fig4/atac_seq3/3_Atac_Genes_filtered/Clustering_&amp;_PseudoBulk/pseudoBulk/permutation/log2_reformatedCPM.psblkAE-rna5c_mean-centered.png

图4：ATAC-5c 与 RNA-5c 对比。ATAC测序（ATAC-seq）区域与基因相关联；每个基因对应的计数表示在该基因的基因组坐标范围内通过ATAC-seq检测到的读段（reads）数量。A）以至少支持3个UMI（Unique Molecular Identifier）的基因数量对细胞进行表征，并以每个细胞中的总UMI数进行绘图。B）基于细胞的ATAC-seq计数进行Seurat聚类（分辨率：0.6）。C）ATAC-seq聚类簇（a1-6）与scRNA测序（scRNAseq, single-cell RNA sequencing）聚类簇（X1-5，图2A）之间的SCA伪样本皮尔逊相似度。方形框标注了各聚类簇间的最高相似度：a1/X1、a4/X3 及 a6/X5。<br>Figure4A somewhere_in_your_computer/fig4/atac_seq3/2_Atac_Genes/umiPlotGSM4224433.pdf<br>Figure4B somewhere_in_your_computer/fig4/atac_seq3/3_Atac_Genes_filtered/Clustering_&amp;_PseudoBulk/annotated_matrix/6/annotated_matrix_Stability_Plot.pdf<br>Figure4C somewhere_in_your_computer/fig4/atac_seq3/3_Atac_Genes_filtered/Clustering_&amp;_PseudoBulk/pseudoBulk/permutation/log2_reformatedCPM.psblkAE-rna5c_mean-centered.png