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. 2020 Aug 26;9:e56980. doi: 10.7554/eLife.56980

Figure 1. miCLIP and ribosomal profiling analyses of the mouse skin epithelial progenitors.

(A) Schematic depicting the major factors involved in regulating the cellular dynamics of m6A modification. (B) Schematic depicting embryonic development of mammalian epithelial skin progenitors. WNThi/lo implies cells that show strong WNT or low WNT signaling as judged by Axin2-LacZ transgene expression (Matos et al., 2020). HF morphogenesis occurs in temporal waves, with mature HFs emerging shortly after birth. (C) Schematic depicting the process for enzymatically isolating epithelial progenitors from mouse skin at age P0. For miCLIP, cells were subjected to FACS purification as described in the Materials and methods. (D) Consensus sequence motif enriched around miCLIP-identified m6A sites in P0 skin progenitor mRNAs. (E) Metagene plots depicting the distribution of miCLIP-identified m6A sites along mRNAs. Data from three independent replicates are shown. (F) Schematic depicts comparison of the miCLIP data, which measures m6A modification to the ribosome profiling data, which landscapes bound ribosomes on neonatal skin progenitor mRNAs. The empirical cumulative distribution function (ECDF) plots compare the relative mRNA translation efficiency of the top 20% and bottom 20% of m6A-modified mRNAs. The data reveal that transcripts with higher levels of m6A modification (assessed by the sum of normalized-to-input uTPM value of m6A along the full-length transcript) tend to have higher levels of translation efficiency. The correlation between translation efficiency and the sum of normalized-to-input uTPM value of m6A at different regions of the mRNAs (5’ UTR, coding sequence, 3’ UTR) shows that the coding sequence m6A gives the best correlation to translation efficiency. The p values were calculated through Wilcoxon rank sum test. (G) GSEA of the overlap between mRNAs that are the top 20% heavily m6A-modified in coding sequence (assessed by the sum of normalized-to-input uTPM value of m6A along coding sequence) and the top 20% most efficiently translated mRNAs (assessed by ribosome profiling). Shown are the top eight enriched KEGG signaling pathways, each of which has a p value <0.05 and >5 enriched mRNAs. (H) Pathways known to play essential roles in regulating skin lineage specification.

Figure 1.

Figure 1—figure supplement 1. miCLIP experiment setup and correlation analysis.

Figure 1—figure supplement 1.

(A) Hematoxylin and eosin (H and E) stained sagittal sections of wild-type P0 back skin before and after dispase treatment (scale bars: 50 µm). (B) Sorting strategy to isolate basal skin progenitors for miCLIP analysis. Live (DAPI-) cell singlets were gated upon the lineage negative markers and integrin α6 (CD49f) signals to get the integrin α6 high population, which is collected for RNA isolation. (C) TBE-acrylamide gel examining PCR-amplified libraries of miCLIP and corresponding input samples. The cDNA library of each sample is separated based on fragment size as High, Med and Low. Individual PCR reactions were set up to get best optimization for each specific range of fragment size. (D) Correlation analysis of the normalized-to-input miCLIP uTPM among the three biological replicates. (E) GSEA of mRNAs based on the sum of normalized-to-input uTPM value of m6A along coding sequence. Shown are the top three enriched KEGG signaling pathways, each with a p value <0.05. Note that in contrast to Figure 1, all mRNAs were analyzed, rather than analyzing only the overlap between the top 20% modified mRNAs and the top 20% efficiently translated mRNAs. (F) Enrichment plots of the selected KEGG signaling pathways from total m6A mRNA analysis. Genes with core enrichment of the pathways are listed beneath the plots. (G) ECDF plots of translation efficiency of mRNAs in the selected KEGG signaling pathways versus those in other pathways. The three pathways highlighted in (E) and (F) enriched with heavily modified mRNAs tend to be more efficiently translated. Note that a control pathway without enriching mRNAs containing high m6A in coding sequence (nicotinate and nicotinamide metabolism), does not show such a trend. The p values were calculated through Wilcoxon rank sum test.