Fig. 6: Pooled scRNA-seq on pancreatic differentiation.
From: Decoding heterogeneous single-cell perturbation responses
a, Experimental design of multiplexing scRNA-seq on the knockout clones of different genes. b, The UMAP plot of single-cell transcriptome profiles, coloured by different clusters (left) or clones (right). c, The PS distribution of HHEX. d, The percentage of cells in PP/LV/DUO cell types from different clones. e, The correlations of CCDC6 PSs calculated from different cell types. The PCC is calculated from all cells with CCDC6 knockouts and is shown as numbers on the heatmap. f, Two different distribution patterns of CCDC6 PSs. g, The top enriched gene ontology terms of DEGs from PP/PP in transition. Enrichr was used to perform enrichment analysis and calculate the associated adjusted P value. h, The percentage of cells in PP/LV/DUO cell types from CCDC6 clones. i, The percentage of cells with PDX1+ (a PP marker) or HNF4A+ (a LV marker) by flow cytometry sorting. The data are based on two CCDC6 knockouts (KO1, KO2) and one WT control. For PDX1+, the adjusted P value for WT versus CCDC6 KO1 is 0.002 and for WT versus CCDC6 KO2 is 0.011. For HNF4A+, the adjusted P value for WT versus CCDC6 KO1 is 0.031 and for WT versus CCDC6 KO2 is 0.015. Three independent replicates are performed for each condition. The multiple comparison-adjusted P value is calculated by one-way analysis of variance test. *P < 0.05, **P < 0.01. Source numerical data are available in the source data.
