Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

IRFinder on total RNAseq libraries #161

Open
ojziff opened this issue Apr 18, 2022 · 1 comment
Open

IRFinder on total RNAseq libraries #161

ojziff opened this issue Apr 18, 2022 · 1 comment

Comments

@ojziff
Copy link

ojziff commented Apr 18, 2022

Dear @dg520

I wondered if IRFinder could be used to quantify splicing in total RNA libraries ± Ribo-Zero RNAseq experiments e.g. with TruSeq Stranded total RNA? i.e. not undergone oligoDT enrichment for polyA mRNA?

I note a previous issue asking about comparing IR in polyA vs Total but my query here is about comparing IR between Total libraries. Should the output be filtered e.g. by raising the minimal intron coverage threshold?

Many thanks!
Oliver

@dg520
Copy link
Collaborator

dg520 commented Apr 26, 2022

@ojziff Sorry for a late reply.
Applying IRFinder on Ribo-Zero RNAseq experiment is do-able. The commands to run is the same as those for TruSeq.
As you have already noticed, the issue sits in how to interpret the results and get meaningful biological findings out of it.
I have never used Ribo-Zero derived result for biological discovery so far. But raising the minimal intron coverage threshold makes sense to me as there should be quite a lot of nascent transcripts.
Comparing nascent IR between conditions is quite tricky as well. Those potential difference observed might be derived from batch effect. This is because splicing is a dynamic process and RNASeq is just a snapshot at a "random" time point of it. It might be impossible to convince ourselves we capture the two conditions at exactly the same time point in a splicing period. You might need additional support/evidence for controlling such confounding factors, or use some other data cleaning approaches if they exist for this specific purpose.
I hope this information is helpful.

Best,
Dadi

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants