Pythia: Non-random DNA repair allows predictable CRISPR/Cas9 integration and gene editing.
Journal
bioRxiv : the preprint server for biology
ISSN: 2692-8205
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187
Informations de publication
Date de publication:
23 Sep 2024
23 Sep 2024
Historique:
medline:
10
10
2024
pubmed:
10
10
2024
entrez:
10
10
2024
Statut:
epublish
Résumé
CRISPR-based genome engineering holds enormous promise for basic science and therapeutic applications. Integrating and editing DNA sequences is still challenging in many cellular contexts, largely due to insufficient control of the repair process. We find that repair at the genome-cargo interface is predictable by deep-learning models and adheres to sequence context specific rules. Based on
Identifiants
pubmed: 39386429
doi: 10.1101/2024.09.23.614424
pmc: PMC11463480
pii:
doi:
Types de publication
Journal Article
Preprint
Langues
eng