Extended Data Fig. 7: KLF5 level in CRC cell lines and the correlations of the expression PIBF1 or FOXP1 with immune infiltration. | Nature Cancer

Extended Data Fig. 7: KLF5 level in CRC cell lines and the correlations of the expression PIBF1 or FOXP1 with immune infiltration.

From: Characterization of cis-regulatory elements and functional variants in colorectal cancer using epigenomics and CRISPRi screenings

Extended Data Fig. 7

a. Representative H&E staining and immunohistochemical analysis (Ki67 and KLF5) in mice tumors derived from lentivirus-mediated SW480 cells (left) and HCT116 cells (right) were shown (n = 5 per group). b-c. The effect of KLF5 overexpression (b) and knockdown (c) on their expression level in SW480 cells (top) and HCT116 cells (bottom) was validated by qRT-PCR analysis. Data were presented as the mean ± SD, n = 9 biologically independent samples. P values were calculated by unpaired two-sided Student’s t-test. d-f. Western blot assays validated the effect of KLF5 overexpression (d) and knockdown (e-f) on the expression level of KLF5 in SW480 cells (top) and HCT116 cells (bottom). g-h. The correlations between the expression of PIBF1 or FOXP1 and the infiltration of immune cells from TCGA database (g, n = 325) and GSE14333 dataset (h, n = 290). i. Scatter plots show the correlations between PIBF1 and CCL4, CCL5, FCGR3A and CD69 expression (top), as well as the correlations between FOXP1 expression with CCL4, CCL5, FCGR3A and CD69 expression (bottom) in TCGA CRC samples (n = 325). j. Scatter plots show the correlations between PIBF1 and CCL4, CCL5, FCGR3A and CD69 expression (top), as well as the correlations between FOXP1 expression with CCL4, CCL5, FCGR3A and CD69 expression (bottom) in GSE14333 CRC samples (n = 290). For g-j, the two-sided P values and correlation coefficient were calculated by Pearson correlation analysis. The circle color represents the correlation degree and circle size represents the significance of correlation (g, h).

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