I am curious about the degree of accuracy of single cell sequencing. Does anyone have any idea?
Accuracy can mean many things. Smart-seq2, the most reliable technique that is currently available, appears to pick up between 20-40% of the transcripts that are present in a cell (http://www.nature.com/nmeth/journal/v10/n11/full/nmeth.2639.html)
Daan, thank you for your answer. As for deep sequencing, or smart-seq2 that you mentioned, is there a rough estimation of the error rate?
Hi Xiaoxiao, I don't recall that they looked at the error rate, though it may be hidden somewhere deep in the paper. I would assume that the main source of error rate will be in the final high-throughput sequencing, which I doubt will be very different between single cell RNA-seq and normal (population-wide) RNA-seq. Considering that the reads are nowadays quite long, I expect that in most cases this will not compromise the unique mapping.
'nature' had its cover devoted to 'Single-Cell Biology', in the 6 July 2017 issue, Vol 547, Nº 7661.
I didn't pay much attention to content, as I'm a Clinician, not a Lab person, but for sure you'll find there threads to follow.
Regards. Gesund +
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