Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1103155 | ENA |
REPOSITORIES: ENA
Similar Datasets
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.
2021-01-06 | GSE154079 | GEO
Project description:BrU-labeled nascent RNA sequencing and m6A-IP from BrU-labeled nascent RNA
| PRJNA326350 | ENA
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.
2016-03-24 | E-GEOD-70906 | biostudies-arrayexpress
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.
2018-05-18 | GSE104679 | GEO
Project description:High depth sequencing of BrU-labeled nascent RNA.
| PRJNA358055 | ENA
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.
2016-03-24 | GSE70906 | GEO
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.
2016-03-24 | E-GEOD-70907 | biostudies-arrayexpress
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.
2022-10-31 | GSE197667 | GEO
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.
2016-03-24 | GSE70907 | GEO
Project description:<p>Single-cell metabolomics reveals cell heterogeneity and elucidates intracellular molecular mechanisms. However, general concentration measurement of metabolites can only provide a static delineation of metabolomics, lacking the metabolic activity information of biological pathways. Herein, we developed a universal system for dynamic metabolomics by stable isotope tracing at the single-cell level. This system comprises an organic mass cytometry-based single-cell metabolomic platform and an automated metabolite quantification and untargeted metabolic flux data processing platform, providing an integrated workflow for dynamic metabolomics of living single cells. As a proof-of-concept, a total of 40 labeled metabolites were tracked in single breast cancer cells, enabling the global profiling and correlation analysis of metabolic activities across various metabolic pathways, as well as flow analysis of interlaced metabolic networks. The significance of metabolic activity profiling was underscored by a 2-deoxyglucose inhibition model, demonstrating delicate metabolic alteration within single cells which cannot reflected by concentration analysis. Significantly, the system combined with a neural network model successfully enabled the metabolomic profiling of direct co-cultured tumor cells and macrophages. This revealed intricate cell-cell interaction mechanisms within the tumor microenvironment and firstly identified versatile polarization subtypes of tumor-associated macrophages based on their metabolic signatures. Importantly, these findings are in line with the renewed diversity atlas of macrophages from genome features obtained through single-cell RNA-sequencing. The developed system facilitates a comprehensive understanding and opens a new avenue of single-cell metabolomics from both static and dynamic perspectives.</p>
2025-04-14 | MTBLS11091 | MetaboLights