scRNA-seq batches having very different numbers of UMIs and genes
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2.6 years ago
Igor ▴ 50

I'm analysing an experiment where the samples have been sequenced in four batches. The first batch had five and the other three had six samples multiplexed using the barcoded antibodies(cell hashing). Each batch overload the 10x well with ~30k cells. Now, the outcome can be seen below:

enter image description here

The 400-500 genes/cell doesn't make much sense give the samples that have been sequenced. The sample composition was also similar between the batches, so such huge between-batch difference is unexpected as well. We've been blaming the overloading gone wrong for every batch except the first one (there were many issues with clogging). I know this is only tangentially related to bioinformatics, but I'd appreciate any ideas about what could have gone wrong here. We've been discussing the possibility to repeat the experiment, but I have no idea how the difference could have arisen in the first place. This makes it had to give suggestions for a do-over.

Would appreciate any tips!

QC scRNA-seq • 1.0k views
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@ Igor why did you delete this post?

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Hi Ram,

I've been talking to several people off-line(including 10x Genomics FAS) and realised it's impossible to give an answer here.

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In that case, you should add an answer with that information and accept that answer. "This question is impractical to answer" is a valid answer to your question; deleting it is not a valid response especially when you've already received feedback from a bunch of people.

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2.6 years ago
valentine ▴ 30

There are a lot of moving parts in these types of experiments, so could be any number of things. But, my first question would be whether that sample was standing in room temperature longer than the other samples?

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2.6 years ago
Dogancan ▴ 30

Counting low number of cells can be tricky. I would recommend counting the cells with multiple methods (hematocytometer, automated cell counters, flow cytometry, etc) and come up with a consensus out of them.

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