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Rapid and Reliable Quantification of Prime Editing Targeting Within the Porcine ABCA4 Gene Using a BRET-Based Sensor
T. Wimmer, H. Sawinski, AM. Urban, J. Motlik, K. Stieger
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
36857739
DOI
10.1089/nat.2022.0037
Knihovny.cz E-zdroje
- MeSH
- ABC transportéry * genetika MeSH
- dítě MeSH
- HEK293 buňky MeSH
- lidé MeSH
- mladý dospělý MeSH
- mutace MeSH
- prasata MeSH
- přenos energie MeSH
- Stargardtova nemoc genetika MeSH
- zvířata MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mladý dospělý MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Stargardt disease (STGD) leads to blindness in children and young adults. So far, no curative therapy is available and gene augmentation therapies have not yet advanced to the clinics, in part, due to the limited packaging capacity of adeno-associated viruses used to transfer genes into photoreceptor cells. Prime editing offers a new perspective to treat mutations on the genomic level. A nicking variant of Cas9 fused to a reverse transcriptase complex with an elongated guideRNA force intracellular mismatch repair to correct the targeted mutation even in postmitotic cells such as photoreceptors in the eye. Using a custom-made bioluminescence resonance energy transfer (BRET)-based editing sensor in HEK293 cells, we tested 27 different prime editing guide RNAs (pegRNAs) and additional 4 nicking guide RNAs (ngRNAs) with regard to their efficiency to induce sequences changes in exon 43 of the porcine ATP binding cassette subfamily A member 4 (ABCA4) gene that eliminate a mutagenic adenine frameshift insertion, which has been associated with STGD in humans. We identified nine working pegRNAs, and in combination with ngRNAs, we achieved a correction rate of up to ≈92% measured with the BRET-based reporter system. Our data prove the high efficiency of prime editors to correct mutations and highlight the importance of optimal ngRNA design, thus offering a promising editing tool to correct ABCA4 mutations in the disease context.
Citace poskytuje Crossref.org
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