Extended Data Fig. 8: Gating strategy and DPP4-correlated genes by flow cytometry.
From: Image-seq: spatially resolved single-cell sequencing guided by in situ and in vivo imaging
a) Ki-67 flow cytometry analysis of HA9M1 cells 13 days after transplantation (N = 7 biological replicates, 2 independent experiments). Statistical significance was determined by unpaired, two-sided Student’s t-test, error bars denote standard error of the mean. b) Ki-67 cell cycle gating strategy. c) Gating strategy used for identifying DPP4high, DPP4int and DPP4neg cells. d) (Left) Day 10 leukemia burden in mice transplanted with 1,000 DPP4high (N = 3) or DPP4neg (N = 4) HA9M1 cells (2 independent experiments). Error bars denote standard deviation. (Right) Percentage of DPP4high-int-neg cells isolated from recipients transplanted with DPP4high (N = 3, red bars) or DPP4neg (N = 4, beige bars) HA9M1 cells (2 independent experiments). An unpaired, two-sided Student’s t-test was used for statistical analysis, error bars denote standard deviation. e) Mean fluorescence intensity of Itgb7, Flt3 and CD48 detected in DPP4high-neg HA9M1 cells by cell surface staining and flow cytometry 3 weeks after transplantation (N = 5 biological replicates, 2 independent experiments). Statistical significance was determined by one-way ANOVA followed by Tukey’s post-hoc test, error bars denote standard deviation. f) DPP4, Itgb7, Flt3 and CD48 expression level for the AML clusters from Fig. 4h. A two-sided Wilcoxon rank sum test was used for statistical analysis (AML-AP1 N = 21, AML-GMP N = 28, AML-mono N = 35 cells, 11 independent mice). g) GO analysis of top 300 up-regulated genes comparing P and NP cells. The statistical analysis was performed by hypergeometric test. Terms related to the inhibition of T cells are highlighted by the red rectangle. HA9M1: Hoxa9/Meis1-Ubiquitin-c-GFP. GO: gene ontology.
