ReviewNature reviews. Genetics2025
From computational models of the splicing code to regulatory mechanisms and therapeutic implications.
Review in Nature reviews. Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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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
25 citing papers in PubMed.
- SpliceDetector: A Splice Sites Detection Method Based on Biology Attention and Ensemble Module.Interdisciplinary sciences, computational life sciences · 2026Article
- Pervasive noise in human pre-mRNA splice site selection.Molecular cell · 2026Article
- Interpretable distillation reveals that deep learning splicing models suffer from pervasive confounders and blind spots.Genome biology · 2026Article
- RNA splicing in health and disease.Molecular biomedicine · 2026Review
- Tools and tactics for studying alternative splicing.Nature reviews. Genetics · 2026Review
- Overcoming the challenges of genome-editing essential genes.STAR protocols · 2026Review
- Intron location and sequence modulate gene expression in Yarrowia lipolytica.Nucleic acids research · 2026Article
- Coordinated alternative splicing decisions via stepwise exon definition.Nucleic acids research · 2026Article
- RNA-binding proteins and ribonucleoproteins as determinants of immunity.Nature reviews. Immunology · 2026Review
- RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease.Annals of clinical and translational neurology · 2026Article
- Improving spliced alignment by modeling splice sites with deep learning.Algorithms for molecular biology : AMB · 2026Article
- Unraveling the FGFR-RNA splicing axis: Mechanisms, oncogenic crosstalks and innovations for therapeutic purpose.Acta pharmaceutica Sinica. B · 2026Review
- Article
- Synonymous and non-synonymous variants at splice junctions can disrupt splicing and are frequently linked to disease associated loss of function genes.BMC genomics · 2025Article
- Alternative Splicing: Molecular Mechanisms, Biological Functions, Diseases, and Potential Therapeutic Targets.MedComm · 2025Review
- RNA-binding protein PTBP1 mediates HSV-1 attachment and infection through regulation of heparan sulfate 3-O-sulfotransferase gene expression.Cell & bioscience · 2025Article
- Genome-wide functional annotation and interpretation of splicing variants: toward RNA-targeted therapies.Journal of human genetics · 2025Review
- Massively parallel assay of human splice variants reveals cis-regulatory drivers of disease-associated and cell type-specific splicing regulation.bioRxiv : the preprint server for biology · 2025Article
- Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics.American journal of medical genetics. Part A · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the discovery of RNA splicing and its role in gene expression, researchers have sought a set of rules, an algorithm or a computational model that could predict the splice isoforms, and their frequencies, produced from any transcribed gene in a specific cellular context. Over the past 30 years, these models have evolved from simple position weight matrices to deep-learning models capable of integrating sequence data across vast genomic distances. Most recently, new model architectures are moving the field closer to context-specific alternative splicing predictions, and advances in sequencing technologies are expanding the type of data that can be used to inform and interpret such models. Together, these developments are driving improved understanding of splicing regulatory mechanisms and emerging applications of the splicing code to the rational design of RNA- and splicing-based therapeutics.
Indexed as
Identifiers
39358547What 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.