Katsevich-Lab / sceptre

An R package for single-cell CRISPR screen data analysis emphasizing statistical rigor, massive scalability, and ease of use.
https://katsevich-lab.github.io/sceptre/
GNU General Public License v3.0
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How to take unperturbed cells as control? #104

Closed Larrycpan closed 7 months ago

Larrycpan commented 8 months ago

I am dealing with high-MOI data, and the number of non-targeting cells is very small. I am wondering if sceptre can do DEG analysis between cells containing a given gRNA and all other gRNA negative cells (not containing any gRNAs). Thanks!

timothy-barry commented 8 months ago

Hello,

In high-MOI, very few (if any) cells contain exclusively non-targeting gRNAs. (It sounds like this is the case on your dataset.) Would the idea be to use cells containing zero gRNAs as the control group? (See here for a definition of control group.) Do you have a sense of how many cells contain zero gRNAs? Typically, only a handful of cells would contain zero gRNAs in a high-MOI screen.

Larrycpan commented 8 months ago

I agree with you that typically only a small number of cells contain zero gRNAs in high-MOI data. Considering the particularity of our data, roughly 70% cells are gRNA negative, so I would like to take these cells as control. Can sceptre tackle this scenario?

timothy-barry commented 8 months ago

I see. This is not built into sceptre, but I think there probably is a hacky way to do this. Have you tried the standard approach yet?

Larrycpan commented 8 months ago

Ok, I'll try traditional single-cell DEG methods first. By the way, as to the STING-seq paper published in Science, I am confused how to determine the DEGs between gRNA+ cells and NT cells since the dataset is high-MOI. Are DEGs in Fig. 2C compared with 'complement set' or 'NT' cells? Since Fig. 2G shows the genes between sgRNA+ positive cells and NT. Thanks for you reply.

timothy-barry commented 8 months ago

I'll try traditional single-cell DEG methods first.

I meant the standard sceptre approach of using the complement set as the control group (in high-MOI). But yes, bandwidth permitting, it would be good to evaluate traditional single-cell DEG methods as well. :)

By the way, as to the STING-seq paper published in Science, I am confused how to determine the DEGs between gRNA+ cells and NT cells since the dataset is high-MOI. Are DEGs in Fig. 2C compared with 'complement set' or 'NT' cells? Since Fig. 2G shows the genes between sgRNA+ positive cells and NT.

Yes, that figure is slightly confusing. Throughout the entire paper, the complement set was used as the control group. So "NT" does not literally mean NT.

Larrycpan commented 7 months ago

Thanks for your reply. I'll follow your suggestion.

timothy-barry commented 7 months ago

Great. You should feel free to let me know how that goes.

timothy-barry commented 7 months ago

Closing. Please feel free to open another issue if you'd like to continue this discussion.