Smart-seq2 for sensitive full-length transcriptome profiling in single cells
| Autor: | Sven Sagasser, Gösta Winberg, Rickard Sandberg, Omid R. Faridani, Åsa K. Björklund, Simone Picelli |
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| Rok vydání: | 2013 |
| Předmět: |
DNA
Complementary Computational biology Biology Polymerase Chain Reaction Biochemistry Transcriptome 03 medical and health sciences 0302 clinical medicine Single-cell analysis Gene expression Animals Humans Transcriptome profiling Molecular Biology Throughput (business) 030304 developmental biology Genetics 0303 health sciences cDNA library Gene Expression Profiling technology industry and agriculture Cell Biology humanities 3. Good health Gene expression profiling HEK293 Cells Template switching Single-Cell Analysis 030217 neurology & neurosurgery Biotechnology |
| Zdroj: | Nature Methods |
| ISSN: | 1548-7105 1548-7091 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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