ReviewGenome biology2018
Single-cell RNAseq for the study of isoforms-how is that possible?
Review in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
88 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Vascular Endothelial Growth Factor and the Pathogenesis of Intracranial Aneurysms: A Systematic Review on the Missing Link in a Complex Pathway.Journal of the American Heart Association · 2024Pooled it
- Tools and tactics for studying alternative splicing.Nature reviews. Genetics · 2026Review
- Single cell analysis of developing Merkel cells reveals the emergence of non-coding RNA biotypes as a hallmark of terminal differentiation.Cell death and differentiation · 2026Article
- T Cell Heterogeneity Shaped by Alternative Splicing Predicts Prognosis in Hepatocellular Carcinoma.Cancer science · 2026Article
- Stepwise Protocol for Alternative Splicing Analysis in Single-Cell SMART-Seq2 RNA-Seq Data.Bio-protocol · 2026Article
- Comprehensive assessment of alternative splicing analysis methods for single-cell RNA-seq.iScience · 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
- BenchDrop-seq: a microfluidics-free platform for benchtop single-cell long-read RNA sequencing.bioRxiv : the preprint server for biology · 2026Article
- Opportunities for RNA sequencing in physiology: from big data to understanding homeostasis and heterogeneity.Function (Oxford, England) · 2026Review
- Full-Length transcriptome assembly and SSR marker development for Spinibarbus hollandi using PacBio SMRT sequencing.Scientific reports · 2026Article
- Mapping genetic effects on splicing in ten thousand post-mortem brain samples reveals novel mediators of neurological disease risk.medRxiv : the preprint server for health sciences · 2025Article
- Droplet-based single-cell RNA sequencing: decoding cellular heterogeneity for breakthroughs in cancer, reproduction, and beyond.Journal of translational medicine · 2025Review
- ScIsoX: a multidimensional framework for measuring isoform-level transcriptomic complexity in single cells.Genome biology · 2025Article
- Integration of hyperspectral imaging and transcriptomics from individual cells with SpectralSeq.Genome research · 2025Article
- Single cell and spatial alternative splicing analysis with Nanopore long read sequencing.Nature communications · 2025Article
- DOLPHIN advances single-cell transcriptomics beyond gene level by leveraging exon and junction reads.Nature communications · 2025Article
- Sequencing technologies to measure translation in single cells.Nature reviews. Molecular cell biology · 2025Review
- AsaruSim: a single-cell and spatial RNA-Seq Nanopore long-reads simulation workflow.Bioinformatics (Oxford, England) · 2025Article
- Dysregulation of autophagy during photoaging reduce oxidative stress and inflammatory damage caused by UV.Frontiers in pharmacology · 2025Review
- Single-cell splicing QTL analysis in pancreatic islets.Frontiers in bioinformatics · 2025Article
28 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Single-cell RNAseq and alternative splicing studies have recently become two of the most prominent applications of RNAseq. However, the combination of both is still challenging, and few research efforts have been dedicated to the intersection between them. Cell-level insight on isoform expression is required to fully understand the biology of alternative splicing, but it is still an open question to what extent isoform expression analysis at the single-cell level is actually feasible. Here, we establish a set of four conditions that are required for a successful single-cell-level isoform study and evaluate how these conditions are met by these technologies in published research.
Indexed as
Identifiers
What OpenQuestion holds
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.