ArticleMolecular therapy. Nucleic acids2025
Modeling and correction of protein conformational disease in iPSC-derived neurons through personalized base editing.
Article in Molecular therapy. Nucleic acids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Base editing restores CDKL5 expression and rescues neuronal deficits in a patient-derived model of CDKL5 deficiency disorder.Scientific reports · 2026Article
- CRISPR/Cas9 and iPSC-Based Therapeutic Approaches in Alzheimer's Disease.Antioxidants (Basel, Switzerland) · 2025Review
- Editing out the polymers: Toward a gene therapy for FENIB.Molecular therapy. Nucleic acids · 2025Article
- Gene Editing inJournal of fungi (Basel, Switzerland) · 2025Review
Corrections and comments
- Update of
Authors and funding
11 authors.
Funding
Abstract
Altered protein conformation can cause incurable neurodegenerative disorders. Mutations in
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.