Full-length RNA-seq from single cells using Smart-seq2

Emerging methods for the accurate quantification of gene expression in individual cells hold promise for revealing the extent, function and origins of cell-to-cell variability. Different high-throughput methods for single-cell RNA-seq have been introduced that vary in coverage, sensitivity and multiplexing ability.

Researchers from the Ludwig Institute for Cancer Research and the Karolinska Institutet recently introduced Smart-seq for transcriptome analysis from single cells, and they subsequently optimized the method for improved sensitivity, accuracy and full-length coverage across transcripts. Here they present a detailed protocol for Smart-seq2 that allows the generation of full-length cDNA and sequencing libraries by using standard reagents. The entire protocol takes ∼2 d from cell picking to having a final library ready for sequencing; sequencing will require an additional 1-3 d depending on the strategy and sequencer. The current limitations are the lack of strand specificity and the inability to detect nonpolyadenylated (polyA-) RNA.


Picelli S1, Faridani OR1, Björklund AK2, Winberg G2, Sagasser S2, Sandberg R2. (2014) Full-length RNA-seq from single cells using Smart-seq2. Nat Protoc 9(1), 171-181. [abstract]
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