| Literature DB >> 20639869 |
Fatih Ozsolak1, David T Ting, Ben S Wittner, Brian W Brannigan, Suchismita Paul, Nabeel Bardeesy, Sridhar Ramaswamy, Patrice M Milos, Daniel A Haber.
Abstract
Generating reliable expression profiles from minute cell quantities is critical for scientific discovery and potential clinical applications. Here we present low-quantity digital gene expression (LQ-DGE), an amplification-free approach involving capture of poly(A)(+) RNAs from cellular lysates onto poly(dT)-coated sequencing surfaces, followed by on-surface reverse transcription and sequencing. We applied LQ-DGE to profile malignant and nonmalignant mouse and human cells, demonstrating its quantitative power and potential applicability to archival specimens.Entities:
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Year: 2010 PMID: 20639869 PMCID: PMC2975601 DOI: 10.1038/nmeth.1480
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547