Unknown

Dataset Information

0

TIGER: Single-step in vivo genome editing in a non-traditional rodent.


ABSTRACT: Rodents are taxonomically diverse and have evolved a variety of traits. A mechanistic understanding of such traits has remained elusive, however, largely because genome editing in non-traditional model species remains challenging. Here, using the African striped mouse (Rhabdomys pumilio), we describe TIGER (targeted in vivo genome editing in rodents), a method that relies on a simple intraoviductal injecting technique and uses recombinant adeno-associated viruses (rAAVs) as the sole vehicle to deliver reagents into pregnant females. We demonstrate that TIGER generates knockout and knockin (up to 3 kb) lines with high efficiency. Moreover, we engineer a double-cleaving repair rAAV template and find that it significantly increases knockin frequency and germline transmission rates. Lastly, we show that an oversized double-cleaving rAAV template leads to an insertion of 3.8 kb. Thus, TIGER constitutes an attractive alternative to traditional ex vivo genome-editing methods and has the potential to be extended to a broad range of species.

SUBMITTER: Li S 

PROVIDER: S-EPMC10528174 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

TIGER: Single-step in vivo genome editing in a non-traditional rodent.

Li Sha S   Mereby Sarah A SA   Rothstein Megan M   Johnson Matthew R MR   Brack Benjamin J BJ   Mallarino Ricardo R  

Cell reports 20230811 8


Rodents are taxonomically diverse and have evolved a variety of traits. A mechanistic understanding of such traits has remained elusive, however, largely because genome editing in non-traditional model species remains challenging. Here, using the African striped mouse (Rhabdomys pumilio), we describe TIGER (targeted in vivo genome editing in rodents), a method that relies on a simple intraoviductal injecting technique and uses recombinant adeno-associated viruses (rAAVs) as the sole vehicle to d  ...[more]

Similar Datasets

| S-EPMC9499182 | biostudies-literature
| S-EPMC6636881 | biostudies-literature
| S-EPMC4640526 | biostudies-literature
| S-EPMC5633400 | biostudies-literature
| S-EPMC5524639 | biostudies-literature
| S-EPMC4333085 | biostudies-literature
| S-EPMC10926593 | biostudies-literature
| S-EPMC5901668 | biostudies-literature
| S-EPMC6065354 | biostudies-literature
| S-EPMC11218167 | biostudies-literature