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. Author manuscript; available in PMC: 2019 Aug 6.
Published in final edited form as: Nature. 2019 Feb 6;566(7743):270–274. doi: 10.1038/s41586-019-0916-x

Figure 3 |. Transcriptome-wide identification and analysis of the YTHDF1-binding sites.

Figure 3 |

a, Volcano plots of genes with differential translational efficiency in WT and Ythdf1−/− Flt3L-DCs. Transcripts with significant YTHDF1 binding sites in 3’ UTR were marked with yellow circles. P values were calculated by two-sided likelihood ratio test and adjusted by Benjamini & Hochberg method; n = 4 (2 conditions x 2 biological replicates). b, Cumulative distribution log2FoldChange of translational efficiency between WT and Ythdf1−/− Flt3L-DCs. P values were calculated by two-sided Kolmogorov-Smirnov test; n = 2 independent biological replicates. Box-plot elements: centre line, median; box limits, upper and lower quartiles; whiskers, 1–99%. c, Metagene-plot depicting nearly unchanged m6A peak distribution and similar consensus motifs in WT and Ythdf1−/− Flt3L-DCs. P values of consensus motifs were generated by HOMER31 with one-sided binomial test. d, KEGG enrichment analysis of genes with significant decreased translation efficiency and YTHDF1 binding sites in 3’UTR (n = 204). One-tail hypergeometric test was used to determine statistical significance of enrichment. e, Heatmap showing the translational efficiency of lysosome genes in WT and Ythdf1−/− Flt3L-DCs. n, numbers of genes or m6A peaks.