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How to use scrublet for samples containing hashtags?

Hello,

I have 3 samples and each of them contain 4 totalseq B biolegend hashtags from biolegend. The hashtags are used to demultiplex the initial 3 samples into 4 samples. When running scrublet is it correct to run it separately for each of the 3 initial samples? I know the expected doublet rate for the 3 initial samples since I know the number of cells from cell ranger while I don't know the expected double rate for the 4 demultiplexed samples until after I use hashsolo.

Thank you

scrublet single-cell scrnaseq

Scrublet generates a simulated distribution from the given dataset and computes a threshold for the doublet scores.

1 answer

Yes, running it separately for each of the 3 original samples (feeding this variable to scrublet as batch_key) should be the way to go since these were run in physically separate microfluidic channels (assuming this is 10x or a similar droplet tech).

Thank you. It does not matter that afterwards I demultiplex them further using hashsolo?

Ah, okay. Looking at HashSolo, correct me if I'm wrong, it seems like it does demultiplexing and doublet scrubbing at the same time. In that case, you might not even need Scrublet?

If you think you do, maybe you can use it to "pre-scrub" the doublets first on the original sample level, then let HashSolo leverage the cell hashing info to do more. Then it would be a matter of seeing how many cells were flagged/removed at each step and seeing if, combined, it adds up to roughly the percentage of doublets you're expecting (though I probably wouldn't worry too much if it didn't).

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