Single-cell differential expression analysis with multiple samples
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@iaradsouza1-23569
Last seen 21 months ago
Brazil

Hi all,

I have single-cell data with 3 samples from tumor A and 3 samples from tumor B. For each tumor, I'm only interested in the malignant cell types, which were already identified. I simply want to compare the expression of those malignant cell types between tumor A and tumor B. My initial thought would be to do a differential expression analysis of malignant cells between tumor A and B (using the recommendations for single-cell analysis from DESeq2, for example, or edgeR). As I'm not familiar with single-cell analysis, I'm wondering if this makes sense.

I would appreciate it if someone could give some tips about how to make this analysis.

SingleCell • 997 views
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Peter Hickey ▴ 740
@petehaitch
Last seen 7 weeks ago
WEHI, Melbourne, Australia

A great resource for learning about this type of analysis is the relevant chapter of 'Orchestrating Single Cell Analysis with Bioconductor' book (OSCA): https://bioconductor.org/books/3.16/OSCA.multisample/multi-sample-comparisons.html

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Yes, I took this chapter as reference. But I'm struggling with the aggregateAcrossCells function, as I have only one cell type. So I'm wondering if this is necessary or I could use deseq2 or edgeR for this kind of contrast.

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You could supply a dummy variable to ids that has the same value for all cells you want to compare.

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Nice, it worked. Thank you! :)

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