期刊
NATURE METHODS
卷 7, 期 8, 页码 619-U28出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1480
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资金
- Pancreatic Cancer Action Network-American Association for Cancer Research
- Howard Hughes Medical Institute
- US National Human Genome Research Institute [1R44HG005279-01]
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.
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