4.8 Article

In vivo genome editing using a high-efficiency TALEN system

Journal

NATURE
Volume 491, Issue 7422, Pages 114-U133

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nature11537

Keywords

-

Funding

  1. State of Minnesota [H001274506]
  2. NIH [GM63904, P30DK084567, DK083219, DA032194, R41HL108440, GM088424]
  3. Mayo Foundation
  4. NSF [DBI0923827]
  5. Research Grant Council, The University of Hong Kong [HKU771611, HKU771110, HKU769809M]
  6. Tang King Yin Research Fund
  7. Division Of Integrative Organismal Systems
  8. Direct For Biological Sciences [0923827] Funding Source: National Science Foundation

Ask authors/readers for more resources

The zebrafish (Danio rerio) is increasingly being used to study basic vertebrate biology and human disease with a rich array of in vivo genetic and molecular tools. However, the inability to readily modify the genome in a targeted fashion has been a bottleneck in the field. Here we show that improvements in artificial transcription activator-like effector nucleases (TALENs) provide a powerful new approach for targeted zebrafish genome editing and functional genomic applications(1-5). Using the GoldyTALEN modified scaffold and zebrafish delivery system, we show that this enhanced TALEN toolkit has a high efficiency in inducing locus-specific DNA breaks in somatic and germline tissues. At some loci, this efficacy approaches 100%, including biallelic conversion in somatic tissues that mimics phenotypes seen using morpholino-based targeted gene knockdowns(6). With this updated TALEN system, we successfully used single-stranded DNA oligonucleotides to precisely modify sequences at predefined locations in the zebrafish genome through homology-directed repair, including the introduction of a custom-designed EcoRV site and a modified loxP (mloxP) sequence into somatic tissue in vivo. We further show successful germline transmission of both EcoRV and mloxP engineered chromosomes. This combined approach offers the potential to model genetic variation as well as to generate targeted conditional alleles.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available