ArticleNature communications2018
Single-cell full-length total RNA sequencing uncovers dynamics of recursive splicing and enhancer RNAs.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers, 1 of them a synthesis that pooled it.
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Who cites it
174 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.Molecular neurodegeneration · 2022Pooled it
- A systematic single-cell analysis of enhancer RNAs across human and mouse.Nucleic acids research · 2026Article
- Suppressing glutamate dehydrogenase guides hematopoietic stem cell divisions into self-renewal.Nature communications · 2026Article
- PROFET predicts continuous gene expression dynamics from scRNA-seq data to elucidate heterogeneity of cancer treatment responses.Cell systems · 2026Article
- Article
- Heme acts as a metabolic brake on erebosis in the Drosophila gut.PLoS biology · 2026Article
- Tools and tactics for studying alternative splicing.Nature reviews. Genetics · 2026Review
- Skin-derived G-CSF activates pathological granulopoiesis upon psoriasis.EMBO molecular medicine · 2026Article
- Amaranth: enhanced single-cell transcript assembly via discriminative modelling of UMI reads and internal reads.Bioinformatics (Oxford, England) · 2026Article
- Single-cell RNA sequencing in stroke and traumatic brain injury: Current achievements, challenges and future perspectives on transcriptomic profiling.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Review
- PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards.Science advances · 2026Article
- sc-rDSeq: a robust and cost-effective full-length total RNA sequencing method for single cells reveals multilayered heterogeneity in drug-resistant lung cancer cells.Nucleic acids research · 2026Article
- Scalable single-cell total RNA sequencing unifies coding and noncoding transcriptomics.Nature biotechnology · 2026Article
- Elucidating genetic backgrounds of myasthenia gravis in Japanese by genome-wide association studies and multi-omics analyses of thymoma.Nature communications · 2026Article
- Elucidating the coordination of RNA processing using short-read and long-read RNA-sequencing methods.Nature reviews. Molecular cell biology · 2026Review
- Long non-coding RNAs in B-cell acute lymphoblastic leukemia: Disease implication, challenges and therapeutic opportunities.Non-coding RNA research · 2026Review
- Emerging insights into enhancer RNAs: biogenesis, function, mechanism, and disease implication.Briefings in bioinformatics · 2026Review
- Recovering gene regulatory networks in single-cell multi-omics data with PRISM-GRN.Genome research · 2026Article
- Reframing thymic epithelial tumors through single-cell transcriptomics: a narrative review.Mediastinum (Hong Kong, China) · 2026Review
- High-Resolution Multiplexed Sequencing of Single-Cell Full-length Transcriptome Via Combinational Barcoded Tn5 Transposon Insertion.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
114 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.