Evidence map›Paper›PMID 41573882›Full record

ArticlebioRxiv : the preprint server for biology2025

Modulating splicing in 5' untranslated regions to treat rare haploinsufficient disease.

Eloise S Beer Wells, Laura De Conti, Hyung Chul Kim, Narjes Rohani, Kartik Chundru, Laura M Watts, Ruebena Dawes, Yuyang Chen, Alexandra C Martin-Geary, Michael J Griffiths and 7 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Eloise S Beer WellsBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.ORCID 0009-0000-8438-3042
Laura De ContiInternational Centre for Genetic Engineering and Biotechnology, Trieste, 34149, Italy.
Hyung Chul KimBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.
Narjes RohaniInstitute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.
Kartik ChundruClinical and Biomedical Sciences, University of Exeter Medical School, Exeter, EX1 2HZ, UK.ORCID 0000-0002-6348-5565
Laura M WattsBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.
Ruebena DawesBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.
Yuyang ChenBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.
Alexandra C Martin-GearyBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.
Michael J GriffithsInstitute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.
Sam ScottInstitute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.
Rosemary A BamfordClinical and Biomedical Sciences, University of Exeter Medical School, Exeter, EX1 2HZ, UK.
Jonathan MillClinical and Biomedical Sciences, University of Exeter Medical School, Exeter, EX1 2HZ, UK.ORCID 0000-0003-1115-3224
Caroline F WrightClinical and Biomedical Sciences, University of Exeter Medical School, Exeter, EX1 2HZ, UK.
Marco BaralleInternational Centre for Genetic Engineering and Biotechnology, Trieste, 34149, Italy.
Stephan J SandersInstitute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.ORCID 0000-0001-9112-5148
Nicola WhiffinBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.ORCID 0000-0003-1554-6594

Funding

4/4 - The Autism Sequencing Consortium: Discovering autism risk genes and how they impact core features of the disorderR01MH129751 · NIMH · UNIVERSITY OF OXFORD · PI Stephan Sanders · 2022 to 2026
$1.4M
2/2 - Identification and Validation of Expression Quantitative Trait Loci (eQTLs) in discrete cell types across human brain developmentU01MH122681 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SANDERS, STEPHAN · 2021 to 2022
$1.2M
NIMH NIH HHS R01 MH129751NIMH NIH HHS U01 MH122681Wellcome Trust
6 · The paper itself

Abstract

Rare genetic disorders collectively impact over 300 million people worldwide, yet around 95% have no specific treatments. For the many rare disorders caused by haploinsufficiency, effective therapies need to upregulate protein expression. However, therapeutic upregulation is often not straightforward. Increasing protein translation of the wildtype allele through inhibiting repressive upstream open reading frames (uORFs) has been proposed as a therapeutic approach for a few specific genes. The widespread success of steric-block antisense oligonucleotides (ASOs) for this purpose is, however, debated. Here, we explore an alternative approach, using splice-switching to exclude uORF-containing exons from the mRNA. Through a genome-wide computational screening approach, we identified 79 uORF-containing 5'UTR exons in haploinsufficient monogenic disease genes as candidate exon skipping targets. We demonstrate that removing the target exon significantly increased protein translation (between 1.4-5.5 fold) in a luciferase reporter assay for four of six prioritised target 5'UTR exons in neurodevelopmental disorder genes (

Identifiers

PMID41573882
PMCPMC12822670

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.