ReviewHuman genetics2024
Advances in long-read single-cell transcriptomics.
Review in Human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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
26 citing papers in PubMed.
- Pan-genomics and multi-omics for deciphering genetic variation and accelerating genetic improvement in ruminant livestock.Functional & integrative genomics · 2026Review
- A systematic benchmark of bioinformatics methods for single-cell and spatial RNA-seq nanopore long reads data.NAR genomics and bioinformatics · 2026Article
- Toward the clinical application of long-read sequencing in repeat-expansion disorders.Nature genetics · 2026Review
- Hidden conversations beneath the soil: microRNA and hormone control of root symbioses.Archives of microbiology · 2026Review
- Long-Read RNA Sequencing Reveals an Isoform Switching Pattern in Healthy Microglial Cell Lines Exposed to Radiotherapy.Non-coding RNA · 2026Article
- Tools and tactics for studying alternative splicing.Nature reviews. Genetics · 2026Review
- Integrating short-read and long-read single-cell transcriptomics of pig pituitary reveals mechanisms of high-altitude hypoxia adaptation.PLoS genetics · 2026Article
- Comprehensive assessment of alternative splicing analysis methods for single-cell RNA-seq.iScience · 2026Article
- Hybrid untargeted short-read and targeted long-read RNA sequencing facilitates genotype-phenotype associations at single-cell resolution.Genome biology · 2026Article
- Detailed single-cell mapping of the transcriptional response to a virus infection driven by copy-back viral genomes.PLoS pathogens · 2026Article
- BenchDrop-seq: a microfluidics-free platform for benchtop single-cell long-read RNA sequencing.bioRxiv : the preprint server for biology · 2026Article
- A practical guide to targeted single-cell RNA sequencing technologies.Communications biology · 2026Review
- Accurate strand-specific long-read transcript isoform discovery and quantification at bulk, single-cell, and single-nucleus resolution.bioRxiv : the preprint server for biology · 2026Article
- Review
- Detailed single-cell mapping of the transcriptional response to a virus infection driven by copy-back viral genomes.bioRxiv : the preprint server for biology · 2026Article
- Integrated experimental and computational workflows for single-cell transcriptomics in plants.Plant methods · 2026Article
- Decoding the human PBMC isonome: isoform-level resolution with single-cell long-read transcriptomics.Frontiers in genetics · 2026Article
- Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026Review
- Multiomic Selection of Cancer-Testis Antigens as Precision Immuno-oncologic Targets in Head and Neck Cancer.JAMA otolaryngology-- head & neck surgery · 2025Article
- Decoding the human PBMC isonome: Isoform-level resolution with single-cell long-read transcriptomics.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long-read single-cell transcriptomics (scRNA-Seq) is revolutionizing the way we profile heterogeneity in disease. Traditional short-read scRNA-Seq methods are limited in their ability to provide complete transcript coverage, resolve isoforms, and identify novel transcripts. The scRNA-Seq protocols developed for long-read sequencing platforms overcome these limitations by enabling the characterization of full-length transcripts. Long-read scRNA-Seq techniques initially suffered from comparatively poor accuracy compared to short read scRNA-Seq. However, with improvements in accuracy, accessibility, and cost efficiency, long-reads are gaining popularity in the field of scRNA-Seq. This review details the advances in long-read scRNA-Seq, with an emphasis on library preparation protocols and downstream bioinformatics analysis tools.
Indexed as
Identifiers
What Socratic 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 Socratic graph.