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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Picelli, Simone Björklund, Åsa K. Faridani, Omid R. Sagasser, Sven Winberg, Gösta Sandberg, Rickard |
| Description | Country affiliation: Sweden Author Affiliation: Picelli S ( Ludwig Institute for Cancer Research, Stockholm, Sweden.) |
| 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. |
| File Format | HTM / HTML |
| ISSN | 15487091 |
| Issue Number | 11 |
| Volume Number | 10 |
| e-ISSN | 15487105 |
| Journal | Nature Methods |
| Language | English |
| Publisher | Nature Publishing Group |
| Publisher Date | 2013-11-01 |
| Publisher Place | United States |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Clinical Laboratory Techniques Gene Expression Profiling Single-cell Analysis Transcriptome Animals Dna, Complementary Genetics Hek293 Cells Humans Polymerase Chain Reaction Journal Article Research Support, Non-u.s. Gov't |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cell Biology Biochemistry Molecular Biology Biotechnology |
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