Simone Picelli

TL;DR: In this article, the authors presented a detailed protocol for Smart-seq2 that allows the generation of full-length cDNA and sequencing libraries by using standard reagents, and 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.

TL;DR: Smart-seq2 with improved reverse transcription, template switching and preamplification to increase both yield and length of cDNA libraries generated from individual cells to improve detection, coverage, bias and accuracy.

TL;DR: Analysis of transcriptomes of thousands of human islet cells from healthy and type 2 diabetic donors demonstrated the utility of the generated single-cell gene expression resource, and revealed subpopulations of α, β, and acinar cells.

TL;DR: This work presents simple and robust procedures for Tn5 transposase production and optimized reaction conditions for tagmentation-based sequencing library construction and shows how molecular crowding agents both modulate library lengths and enable efficient tagmentation from subpicogram amounts of cDNA.

TL;DR: Smart-seq2 as discussed by the authors improved reverse transcription, template switching and preamplification to increase both yield and length of cDNA libraries generated from individual cells, which have improved detection, coverage, bias and accuracy compared to Smart-seq libraries and are generated with off-the-shelf reagents at lower cost.