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• W2789254933 abstract "Abstract Total RNA sequencing has been used to reveal poly(A) and non-poly(A) RNA expression, RNA processing and enhancer activity. To date, no method for full-length total RNA sequencing of single cells has been developed despite the potential of this technology for single-cell biology. Here we describe random displacement amplification sequencing (RamDA-seq), the first full-length total RNA-sequencing method for single cells. Compared with other methods, RamDA-seq shows high sensitivity to non-poly(A) RNA and near-complete full-length transcript coverage. Using RamDA-seq with differentiation time course samples of mouse embryonic stem cells, we reveal hundreds of dynamically regulated non-poly(A) transcripts, including histone transcripts and long noncoding RNA Neat1 . Moreover, RamDA-seq profiles recursive splicing in >300-kb introns. RamDA-seq also detects enhancer RNAs and their cell type-specific activity in single cells. Taken together, we demonstrate that RamDA-seq could help investigate the dynamics of gene expression, RNA-processing events and transcriptional regulation in single cells." @default.
• W2789254933 created "2018-03-29" @default.
• W2789254933 creator A5016698641 @default.
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• W2789254933 date "2018-02-12" @default.
• W2789254933 modified "2023-10-16" @default.
• W2789254933 title "Single-cell full-length total RNA sequencing uncovers dynamics of recursive splicing and enhancer RNAs" @default.
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• W2789254933 doi "https://doi.org/10.1038/s41467-018-02866-0" @default.
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