The significant CpG loci detected in the previous step actually form a methylation signature that differentiates , which we shall now visualise by a heat map.
- Select the (CpG of interestLCLs vs. B cells) spreadsheet in the spreadsheet pane on the left
- Select Cluster Based on Significant Genes from the Visualization panel of the Illumina BeadArray Methylation workflow
- Select Hierarchical Clustering for Specify Method (Figure 1)
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- Select OK
- Verify that (CpG of interest) is selected in the drop-down menu
- Select Standardize for Expression normalization (Figure 2)
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| SubtitleText | Selecting spreadsheet and normalization method for clustering |
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| AnchorName | Selecting normalization for clustering |
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The heat map will be displayed on the Hierarchical Clustering tab (Figure 3).
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| SubtitleText | Hierarchical clustering with heat map invoked on a list of significant CpG loci |
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| AnchorName | heat map |
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The experimental groups are rows, while the CpG loci from the
(CpG of interestLCLs vs. B cells) spreadsheet are columns. Methylation levels are compared between
Naive shPOU5F1, Naive shNANG, and Primed shCTRL vs. Naive shCTRL. the LCLs and B cells groups. CpG loci with higher methylation are colored red, CpG loci with lower methylation are colored green.
As expected, the Naive shPOU5F1, Naive shNANG, and Primed shCTRL experimental conditions cluster together; however, we can also see regions of similarity between Primed shCTRL and Naive shCTRL. This suggests that treatment with shRNA against POU5F1 or NANOG brings the methylation profile of naive hPSCs closer to that of primed hPSCs, but also causes additional changes not observed in either primed or naive hPSCsB cells samples are colored red and LCLs samples are colored orange in the dendrogram on the the left-hand side of the heat map.
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