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The next step of interpretation is creation of a list of genes overlapping with the differentially methylated CpG loci.

Select Find Overlapping Genes... from the Tools section of the main toolbar (Figure 1)

Genomics Suite Documentation > Perform gene set and pathway analysis > figure34.png

Select Create a new spreadsheet with genes that overlap with the regions in the Find Overlapping Genes dialog
Select OK
Select an annotation - this tutorial uses RefSeq Transcripts - 2014-01-03
Select OK

A new spreadsheet will be created as a child spreadsheet (Figure 2)

Genomics Suite Documentation > Perform gene set and pathway analysis > figure37.png

Partek Genomics Suite offers several tools to help interpret this list of genes. First, let's look at Gene Set Analysis.

Select Gene Set Analysis from the Biological Interpretation section of the Illumina BeadArray Methylation workflow
Select GO Enrichment
Select Next >
Select 1/Native_shNANOG_and_Naive_shPOU5F1_and_Primed_shCTRL_vs_Naive_shCTRL/gene-list (gene-list.txt) for the source spreadsheet
Select Next >
Select Invoke gene ontology browser on the result and leave the rest of the options set to defaults
Select Next >
Select Default Mapping File
Select Next >

A new spreadsheet will be created with categories ranked by enrichment score and the Gene Ontology Browser will launch to graphically display the results of the spreadsheet (Figure 3). The results show which gene sets are over represented in the list of genes overlapped by differentially regulated CpG loci between the experimental and control groups.

Genomics Suite Documentation > Perform gene set and pathway analysis > figure40.png

Next, we can perform Pathway Analysis to see which pathways are over represented in the gene overlapped by differentially regulated CpG loci.

Select Pathway Analysis from the Biological Interpretation section of the Illumina BeadArray Methylation workflow
Select Pathway Enrichment
Select Next >
Select 1/Native_shNANOG_and_Naive_shPOU5F1_and_Primed_shCTRL_vs_Naive_shCTRL/gene-list (gene-list.txt) for the source spreadsheet
Select Next >
Leave the default selections for the Configure parameters of the test panel
Select Next >
Leave the default selections for the Select the parameters panel
Select Next > to run the analysis

The Pathway-enrichment spreadsheet will be added to the spreadsheet tree in Partek Genomics Suite and the Partek^® Pathway^™ software will open to provide visualization of the most significantly enriched pathway as a pathway diagram (Figure 4). The color of the gene boxes reflects p-values of the associated differentially methylated CpG loci (bright orange is insignificant, purple is highly significant).

Genomics Suite Documentation > Perform gene set and pathway analysis > figure42.png