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Scalable full-transcript coverage single cell RNA sequencing with Smart-seq3xpress

Hagemann-Jensen, M.; Ziegenhain, C.; Sandberg, R.

2021-07-11 genomics
10.1101/2021.07.10.451889 bioRxiv
Show abstract

Plate-based single-cell RNA-sequencing methods with full-transcript coverage typically excel at sensitivity but are more costly and time-consuming. Here, we miniaturized and streamlined the Smart-seq3 protocol for drastically reduced cost and increased throughput. Applying Smart-seq3xpress to 16,349 human peripheral blood mononuclear cells revealed a highly granular atlas complete with both common and rare cell types whose identification previously relied on additional protein measurements or the integration with a reference atlas.

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The top 6 journals account for 50% of the predicted probability mass.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.