ReviewMolecular therapy : the journal of the American Society of Gene Therapy2025
Long-read RNA sequencing: A transformative technology for exploring transcriptome complexity in human diseases.
Review in Molecular therapy : the journal of the American Society of Gene Therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed.
- NanoTS: a deep learning tool for accurate SNP calling in nanopore long-read transcriptome data.Nature methods · 2026Article
- The dark genome in cardiovascular medicine.European heart journal · 2026Review
- Integration of Multi-Omics Data To Understand the Multifaceted Role of RAMP1 across Different Cancer Types.Cell biochemistry and biophysics · 2026Review
- ONT-only genome assembly of a Korean male individual using a semen sample.Genes & genomics · 2026Article
- Cancer-associated fusion transcripts: mechanisms, functional roles, and clinical implications.Clinical and experimental medicine · 2026Review
- Multi-omics-driven precision medicine.iMeta · 2026Review
- RNA Sequencing Technologies in Acute Lymphoblastic Leukemia: A Comparative Technical Review.Current issues in molecular biology · 2026Review
- SpliSync: Genomic language model-driven splice site correction of long RNA sequencing reads.bioRxiv : the preprint server for biology · 2026Article
- Epitranscriptomic Analysis of A-to-I RNA Editing and mInternational journal of molecular sciences · 2026Review
- Article
- Bridging technical innovation and computational advances in studies of RNA-protein assemblies.Nature reviews. Genetics · 2026Review
- Comprehensive lincRNA Transcriptome in Acute Myeloid Leukemia: Integrating Known and Newly Identified lincRNAs Across Pediatric and Adult Cohorts.Non-coding RNA · 2026Article
- An rRNA-depleted full-length transcriptome strategy using nanopore sequencing for identification of novel lncRNA isoforms.Communications biology · 2026Article
- Targeted long-read RNA sequencing for rare disease diagnosis and variant interpretation.Science advances · 2026Article
- Modern RNA Quantification Methods: From RT-qPCR to Advanced Microscopy.The journal of physical chemistry. B · 2026Review
- Population-scale interpretation of RNA isoform diversity enabled by Isopedia.bioRxiv : the preprint server for biology · 2026Article
- Splicing variants in MYRF cause partial loss of function in the retinal pigment epithelium leading to nanophthalmos.JCI insight · 2026Article
- Quantifying transcript complexity via the condition number of gene-specific random matrix.Briefings in bioinformatics · 2026Article
- The splice of life: how alternative splicing shapes regulatory and phenotypic evolution.The EMBO journal · 2026Review
- Opportunities for RNA sequencing in physiology: from big data to understanding homeostasis and heterogeneity.Function (Oxford, England) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Long-read RNA sequencing (RNA-seq) is emerging as a powerful and versatile technology for studying human transcriptomes. By enabling the end-to-end sequencing of full-length transcripts, long-read RNA-seq opens up avenues for investigating various RNA species and features that cannot be reliably interrogated by standard short-read RNA-seq methods. In this review, we present an overview of long-read RNA-seq, delineating its strengths over short-read RNA-seq, as well as summarizing recent advances in experimental and computational approaches to boost the power of long-read-based transcriptomics. We describe a wide range of applications of long-read RNA-seq, and highlight its expanding role as a foundational technology for exploring transcriptome variations in human diseases.
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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.