Load MF, CC and BP from org.Hs.eg.db
1
0
Entering edit mode
15 months ago
Manuel ▴ 10

Hi!

I would like to load all the pathways related to CC, MF and BP from the org.Hs.eg.db, converting into a dataset that has as columns pathway, gene_symbols.

In order that after this I filter the pathways that have genes in common with the metabolism pathways from KEGG. So that I can see which of my DGE genes in the metabolism also participate in this CC, MF and BP.

enrichGO(gene = row.names(dge_nos_leiomyo_over),
                    universe = row.names(dge_nos_leiomyo),
                    OrgDb = org.Hs.eg.db,
                    keyType="SYMBOL",
                    ont = "ALL",
                    pAdjustMethod = "fdr",
                    pvalueCutoff = 0.05,
                    readable = TRUE)

enrichGo gets those pathways in the internal code which I read, some of the methods seem to be very complicated such as get_GO_data(OrgDb, ont, keyType)

Is there any simple line of code that would just get all the pathways in CC, MF and BP and the gene symbols included in those into a dataset?

Thank you!

org.Hs.eg.db GO DGE enrichGO • 1.0k views
ADD COMMENT
1
Entering edit mode
15 months ago

Easily done via msigdbr or numerous other similar packages.

install.packages("msigdbr")
library(msigdbr)

go_bp_genesets = msigdbr(species = "mouse", category = "C5", subcategory = "BP")
go_mf_genesets = msigdbr(species = "mouse", category = "C5", subcategory = "MF")
go_cc_genesets = msigdbr(species = "mouse", category = "C5", subcategory = "CC")
ADD COMMENT
0
Entering edit mode

Thank you much! Just to confirm, these are the same datasets used in?

enrichGO(gene = row.names(dge_nos_leiomyo_over),
                    universe = row.names(dge_nos_leiomyo),
                    OrgDb = org.Hs.eg.db,
                    keyType="SYMBOL",
                    ont = "ALL",
                    pAdjustMethod = "fdr",
                    pvalueCutoff = 0.05,
                    readable = TRUE)
ADD REPLY
2
Entering edit mode

Well, mine is pulling mouse, and it's from the MSigDb, so probably slight differences. Plus using gene symbols as a key type always results in some wonkiness.

If you just want a list of all GO terms and associated entrez IDs, you can pull them like:

xx <- as.list(org.Hs.egGO2ALLEGS)

I'd recommend taking a look at the org.Hs.eg.db vignette.

ADD REPLY

Login before adding your answer.

Traffic: 2814 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6