Include multiple factors in the DESeq formula design or subset data to analyze
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Yijing • 0
@0fcbf96d
Last seen 20 months ago
Germany

Hi,

I have a question related to the multifactor formula design:

In my experiment, there are 12 rats with 3 genotypes. For each rat, 4 tissues from different brain areas were isolated.

Eat Genotype TissueArea 1 Hom Prefrontal cortex 1 Hom Cerebellum 1 Hom Corpus callosum 1 Hom Hippocampus 2 Het Prefrontal cortex 2 Het Cerebellum 2 Het Corpus callosum 2 Het Hippocampus . . .

My scientific question is the difference among 3 genotypes. So the formula should be design = ~ TissueArea + Genotype.

What if I want to look specific tissue area? Like the influence of genotype in the prefrontal cortex. Can I subset the data for the prefrontal cortex and perform DESeq separately?

Thank you for your help in advance!

DESeq2 multiple • 803 views
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@james-w-macdonald-5106
Last seen 16 minutes ago
United States

Yes. Concatenate the tissue and genotype names into one factor, and then fit a cell means model on that. You can then make contrasts between any combinations of tissue and genotype that you like.

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Thanks! But how to get the results for specific tissue areas? For example, if now I just want the results for prefrontal cortex to compare the 3 genotypes, how to extract the data?

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