RNAseq (Deseq2 and Dexseq2) analysis on two time points with expected same effect
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Alice • 0
@71c6768f
Last seen 7 months ago
United States

Hello,

We are analyzing an RNA-seq experiment that was performed in cases and controls across two time points. We are interested in finding differentially expressed genes (DESeq2) and exons (DEXseq) between cases and controls that have the same effect at both time points. How do we best set this up in deseq/dexseq. We have 3 replicates of each set:

  • 3 replicates cases/ 3 replicates controls - timepoint 1
  • 3 replicates cases/ 3 replicates controls - timepoint 2

We want to analyze these all together to increase power. Should we add all 6 cases and 6 controls and add timepoint as a covariate in the model?

Thank you

DEXSeq RNA-seq DESeq2 • 644 views
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ATpoint ★ 4.0k
@atpoint-13662
Last seen 16 hours ago
Germany

See the DESeq 2 vignette. It has a FAQ when to split up experiments or not. See contrasts section for obtaining specific comparisons.

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Thanks, how about for DEXseq?

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Pretty much the same principles as in DESeq2 applies. If you want to increase power in the cases vs control, I'd just add time point as covariate.

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