Evidence map›Paper›PMID 42121843›Full record

ArticleCells2026

Successful In Vitro Modification of the

Ayesha Siddika, Fatima El Husseiny, Joël Rousseau, Jacques P Tremblay

Abstract read
In one paragraph

Article in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Ayesha SiddikaDépartement de Médecine Moléculaire, Université Laval, Quebec City, QC G1V 0A6, Canada.
Fatima El HusseinyDépartement de Médecine Moléculaire, Université Laval, Quebec City, QC G1V 0A6, Canada.
Joël RousseauCentre de Recherche du Centre Hospitalier Universitaire de Québec, Quebec City, QC G1E 6W2, Canada.
Jacques P TremblayDépartement de Médecine Moléculaire, Université Laval, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0001-9404-9195

Funding

CIHR CIHR; Application No. 492510Defeat Duchenne Foundation 53320215
6 · The paper itself

Abstract

Duchenne muscular dystrophy (DMD) is a fatal X-linked neuromuscular disorder caused by mutations in the dystrophin gene. Prime editing is a versatile genome editing technology capable of introducing precise nucleotide changes without generating double-strand DNA breaks, making it a promising approach for correcting pathogenic point mutations. In this study, we applied prime editing to modify mdx-4cv and mdx-5cv mutation-equivalent sites in mouse C2C12 myoblasts in vitro. Initial editing efficiencies were unexpectedly low and were associated with the presence of a 5'-TTCT-3' motif within engineered prime editing guide RNAs (epegRNAs). epegRNA designs containing this motif exhibited reduced prime editing efficiency, whereas silent substitution eliminating the motif significantly improved editing outcomes, indicating that specific sequence features within epegRNAs can influence editing performance. Rational redesign of epegRNAs to remove this motif substantially enhanced editing efficiency, achieving up to 20% modification at the 4cv target site using an NGG PAM and 21% editing at the 5cv locus using an NGAG PAM. These findings highlight an important sequence-dependent constraint in epegRNA design and provide practical guidance for optimizing prime editing strategies targeting

Indexed as

DystrophinGene EditingMuscular Dystrophy, DuchenneAnimalsBase SequenceCell LineHumansMiceMutationMyoblastsRNA, Guide, CRISPR-Cas SystemsDystrophinRNA, Guide, CRISPR-Cas SystemsCRISPR/Cas9Dmd geneDuchenne muscular dystrophygenome editingmyogenic cellspoint mutationprime editingRTT–PBS optimization

Identifiers

PMID42121843
PMCPMC13162614

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.