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
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

Auteurs

Classifications MeSH