| Literature DB >> 24056875 |
Simone Picelli1, Åsa K Björklund, Omid R Faridani, Sven Sagasser, Gösta Winberg, Rickard Sandberg.
Abstract
Single-cell gene expression analyses hold promise for characterizing cellular heterogeneity, but current methods compromise on either the coverage, the sensitivity or the throughput. Here, we introduce Smart-seq2 with improved reverse transcription, template switching and preamplification to increase both yield and length of cDNA libraries generated from individual cells. Smart-seq2 transcriptome libraries have improved detection, coverage, bias and accuracy compared to Smart-seq libraries and are generated with off-the-shelf reagents at lower cost.Mesh:
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Year: 2013 PMID: 24056875 DOI: 10.1038/nmeth.2639
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547