biomaRT biotype TFs only
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rbronste ▴ 60
@rbronste-12189
Last seen 4.4 years ago

Hi I am trying to retrieve from biomaRT a GRanges of only TFs with their gene identifier metadata and was not sure about how to do this, I assume its looking through the particular biotype but not sure if this applies to gene or specific transcripts? Thank you!

biomart TF biotype ensembl mus musculus • 1.2k views
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Mike Smith ★ 6.5k
@mike-smith
Last seen 16 hours ago
EMBL Heidelberg

I'm not sure biotype is quite the right field to query.  Perhaps a particular GO annotation would be appropriate.  GO:0003700 is for 'DNA binding transcription factor activity'.  It probably doesn't necessarily mean that something annotated with that is a transcription factor, but I guess it would be hard for a transcription factor to fall outside that classification.

You can query for genes annotated directly with that term in biomaRt with something like:

library(biomaRt)
ensembl_mart = useMart("ensembl", dataset = "hsapiens_gene_ensembl")

results <- getBM(attributes = c("ensembl_gene_id", 
                                "external_gene_name",
                                "chromosome_name", 
                                "start_position",
                                "end_position"),
                 filters = "go",
                 values = "GO:0003700",
                 mart = ensembl_mart)

If you want things annotated with that term, or anything below it in the ontology then it's slightly different:

results <- getBM(attributes = c("ensembl_gene_id", 
                                "external_gene_name",
                                "chromosome_name", 
                                "start_position",
                                "end_position"),
                 filters = "go_parent_term",
                 values = "GO:0003700",
                 mart = ensembl_mart)
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Very helpful thank you! 

My aim here is to filter a full HT-seq list of counts for factors with DNA binding activity and do it in such a way as to grab only those above some cutoff, lets say just DNA binding factors with absolute counts above 100 for example. Do you think just importing that list as a data.frame into R and doing a simple intersect/matching operation would do it? Thanks again.

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I guess filtering one list vs the other for 

"external_gene_name"
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