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Pathway enrichment analysis of gene set
1
Entering edit mode
19 months ago
chipolino • 40

Hi everyone,

I have list of genes (differentially expressed for example) and I want to obtain list of enriched pathways (not GO terms), what is the best tool or database to do it? Should I use KEGG or REACTOME database for this purpose or something else? I know, everyone has some preferences here, but I would like to hear opinion of someone who has a lot of experience in this field...

Thank you

3
Entering edit mode
17 months ago
Benn 6.9k
Netherlands

If you want to see which KEGG or REACTOME pathways are enriched in your list of genes, a simple approach is to use goseq. In the manual they explain how to do the enrichment analysis with custom (other than GO) databases such as KEGG or REACTOME. In my opinion, these results are always less informative than GO enrichment. The number of pathways are limited (compared to the number of GO terms), and GO terms may lead to novel insights (with pathways usually not).

0
Entering edit mode
20 months ago
c.chakraborty • 130

You can also upload your gene list to MSigDB and look for Pathway enrichment.

0
Entering edit mode
18 months ago
EagleEye 6.4k
Sweden

With GeneSCF batch run, you can try all those database with single run. Selecting the database depends on your experiment or study or interest.

KEGG always gives you broad perspective of pathway terms (metabolism, gene regulation, cellular processes, disease and signaling pathways).

In Gene Ontology, you can have individual terms in-detail like sub processes of these broad categories such as Biological Process (GO_BP), Molecular Function (GO_MF) and Cellular Component (GO_CC).

Reactome has database with sub-pathways of broad terms (broad terms as in KEGG). Reactome has advantage by covering more number of proteins.

More details in GeneSCF article.