Identifying potentially associated gene set to drug response using GSVA
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Kent • 0
@5f50f52d
Last seen 1 day ago
United Kingdom

Hi all,

I have done some drug response profiling. There are some drugs that are only effective in one or two samples (around 20 screened). I also have some RNA-Seq data from these samples (plus 50 more without screening results) and I calculated the GSVA score for them with rlog output from DESeq2.

I am just wondering if it is a legit way of finding activated pathway for a SINGLE sample by calculating the Z-score of GSVA normalised across samples per gene set and pick those with Z-score higher than 1.96.

I appreciate it if there is a more legit way of doing it and you can let me know. Thanks!

drug RNASeq GSVA • 164 views
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Robert Castelo ★ 3.4k
@rcastelo
Last seen 4 days ago
Barcelona/Universitat Pompeu Fabra

Hi, if you want to do some formal inference about the effect of a drug at RNA level, then I would recommend you doing a differential expression analysis on the GSVA scores derived from RNA-seq data, between the group of samples that were exposed to the drug and the group of samples that were not exposed to the drug. I would recommend running gsvaParam() and gsva() with default parameters. Please consult the subsection on "Differential expression at pathway level" from the GSVA vignette.

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Hi Robert Castelo thanks for the reply. I should have explained to you the context first. I am testing over a hundred drugs on patient samples (so all of them are unique there is no biological replicate) ex vivo and the RNA-Seq data we have are from the diagnostic samples. There is no post-drug test RNA-Seq data.

I have used your package before for analysing gene set enrichment between groups with biological replicates (e.g. patients with the same subtype of cancer) so I am familiar with the session you referred to. My question is if it is an acceptable way to convert GSVA into z-score across samples so I can find out the outlier of a single sample, which hopefully would be an interesting one (e.g. the only sample that response to drug A). I am not good at statistics so I am just wondering if this z-score transformation is legit for identifying outliers.

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