Project description:During maturation, eukaryotic precursor RNAs undergo processing events including intron splicing, 3’-end cleavage, and polyadenylation. Here, we describe nanopore analysis of CO-transcriptional Processing (nano-COP), a method for probing the timing and patterns of RNA processing. An extension of native elongating transcript sequencing (NET-seq), which quantifies transcription genome-wide through short-read sequencing of nascent RNA 3’ ends, nano-COP uses long-read nascent RNA sequencing to observe global patterns of RNA processing. First, nascent RNA is stringently purified through a combination of 4-thiouridine metabolic labeling and cellular fractionation. In contrast to cDNA or short-read–based approaches relying on reverse transcription or amplification, the sample is sequenced directly through nanopores to reveal the native context of nascent RNA. nano-COP identifies both active transcription sites and splice isoforms of single RNA molecules during synthesis, providing insight into patterns of intron removal and the physical coupling between transcription and splicing. The nano-COP protocol yields data within 3 days.
Project description:Long read SMRT cDNA sequencing of nascent RNA from exponentially growing S. cerevisiae and S. pombe cells was employed to obtain transcription elongation and splicing information from single transcripts. Nascent RNA was prepared from the yeast chromatin fraction (Carrillo Oesterreich, Preibisch, Neugebauer, Mol Cell 2010). The nascent 3â?? end was labeled with a 3â?? DNA adaptor through ligation. The adaptor sequence served as template for full-length reverse transcription and double-stranded cDNA was obtained in a PCR (gene-specific or transcriptome-wide). SMRT DNA sequencing libraries were prepared subsequently. Nascent RNA profiles for mainly intron-containing genes were generated with long-read SMRT cDNA sequencing.
Project description:Long-read SMRT cDNA sequencing of nascent RNA from exponentially growing S. pombe cells was employed to obtain transcription elongation and splicing information from single transcripts. Nascent RNA was prepared from the yeast chromatin fraction (Carrillo Oesterreich, Preibisch, Neugebauer, Mol Cell 2010). The nascent 3’ end was labeled with a 3’ DNA adaptor through ligation. The adaptor sequence served as template for full-length reverse transcription and double-stranded cDNA was obtained in a transcriptome-wide PCR. SMRT DNA sequencing libraries were prepared subsequently.
Project description:Long read SMRT cDNA sequencing of nascent RNA from exponentially growing S. cerevisiae and S. pombe cells was employed to obtain transcription elongation and splicing information from single transcripts. Nascent RNA was prepared from the yeast chromatin fraction (Carrillo Oesterreich, Preibisch, Neugebauer, Mol Cell 2010). The nascent 3’ end was labeled with a 3’ DNA adaptor through ligation. The adaptor sequence served as template for full-length reverse transcription and double-stranded cDNA was obtained in a PCR (gene-specific or transcriptome-wide). SMRT DNA sequencing libraries were prepared subsequently.
Project description:Targeted paired-end sequencing of cDNA from unfragmented nascent RNA from exponentially growing S. cerevisiae cells was employed to obtain Pol II transcription elongation and splicing information from single transcripts. Nascent RNA was prepared from the yeast chromatin fraction (Carrillo Oesterreich, Preibisch, Neugebauer, Mol Cell 2010) or enriched from total RNA with polyadenylated RNA depletion. The nascent 3â end was labeled with a 3â DNA adaptor through ligation. A PCR with a forward primer in the first exon of select intron-containing genes amplifies nascent transcripts of specific genes and ensures sequencing adaptor attachment for paired-end sequencing. With this approach co-transcriptional splicing progression with distance from the intron end could be analyzed for 87 genes. Note that the unmapped and mapped data also include genes that did not pass the read coverage requirements in SMIT analysis. Nascent RNA profiles for mainly intron-containing genes were generated with paired-end sequencing with Illumina HiSeq technology.
Project description:We combined RNA metabolic labeling and alkylation with droplet-based sequencing to detect newly synthesized mRNAs in single cells. With the classification of labeled and unlabeled precursor and mature mRNAs, we modeled and analyzed the time-dependent RNA kinetic rates associated with the cell cycle. We found both transcription and degradation rates are highly dynamic over the cell cycle and different kinetic regulation types were observed for cycling genes.
Project description:Targeted paired-end sequencing of cDNA from unfragmented nascent RNA from exponentially growing S. cerevisiae cells was employed to obtain Pol II transcription elongation and splicing information from single transcripts. Nascent RNA was prepared from the yeast chromatin fraction (Carrillo Oesterreich, Preibisch, Neugebauer, Mol Cell 2010) or enriched from total RNA with polyadenylated RNA depletion. The nascent 3’ end was labeled with a 3’ DNA adaptor through ligation. A PCR with a forward primer in the first exon of select intron-containing genes amplifies nascent transcripts of specific genes and ensures sequencing adaptor attachment for paired-end sequencing. With this approach co-transcriptional splicing progression with distance from the intron end could be analyzed for 87 genes. Note that the unmapped and mapped data also include genes that did not pass the read coverage requirements in SMIT analysis.
Project description:Eukaryotic genes often generate a variety of RNA isoforms that can lead to functionally distinct protein variants. The synthesis and stability of RNA isoforms is however poorly characterized. The reason for this is that current methods to quantify RNA metabolism use short-read sequencing that cannot detect RNA isoforms. Here we present nanopore sequencing-based Isoform Dynamics (nano-ID), a method that detects newly synthesized RNA isoforms and monitors isoform metabolism. nano-ID combines metabolic RNA labeling, long-read nanopore sequencing of native RNA molecules and machine learning. nano-ID derived RNA stability estimates enable a distinctive evaluation of stability determining factors such as sequence, poly(A)-tail length, RNA secondary structure, translation efficiency and RNA binding proteins. Application of nano-ID to the heat shock response in human cells reveals that many RNA isoforms change their stability. nano-ID also shows that the metabolism of individual RNA isoforms differs strongly from that estimated for the combined RNA signal at a specific gene locus. nano-ID enables studies of RNA metabolism on the level of single RNA molecules and isoforms in different cell states and conditions.