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How to compare cell-type ratios in sc-RNA seq data?

Hello all!

I am working with a single-cell RNA seq dataset from 10x where I have two experimental conditions. Patients pre-treatment and post-treatment condition. I want to investigate the cell-type ratios differences between treatment stages. The main problem is that the number of cells sequenced/recovered in the pre-treatment stage is so low in comparison with the post-treatment stage.

I was wondering, if exist a statistical method to "normalize" the number of cells recovered between conditions to compare the ratio in a reliable way.

Regards

sc-rna single-cell cell-type
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written by sc-ruzafa • sc-ruzafa

1 answer

You can find a detailed discussion in the "Differential Abundance" Section of the OSCA book: https://bioconductor.org/books/release/OSCA/multi-sample-comparisons.html#differential-abundance, especially the section about Composition Effects might be applicable to your situation. It would be important to have replicates of the conditions (which is generally recommended anyway).

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written by Friederike Friederike

Thank for the answer :). It was that I looking for

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written by sc-ruzafa • sc-ruzafa

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