Genotyping with CRISPR-Cas-derived RNA-guided endonucleases
Jong Min Kim,
Daesik Kim,
Seokjoong Kim and
Jin-Soo Kim ()
Additional contact information
Jong Min Kim: National Creative Initiatives Research Center for Genome Engineering, Seoul National University
Daesik Kim: National Creative Initiatives Research Center for Genome Engineering, Seoul National University
Seokjoong Kim: ToolGen, Inc., Byucksan Kyoungin Digital Valley 2-Cha
Jin-Soo Kim: National Creative Initiatives Research Center for Genome Engineering, Seoul National University
Nature Communications, 2014, vol. 5, issue 1, 1-8
Abstract:
Abstract Restriction fragment length polymorphism (RFLP) analysis is one of the oldest, most convenient and least expensive methods of genotyping, but is limited by the availability of restriction endonuclease sites. Here we present a novel method of employing CRISPR/Cas-derived RNA-guided engineered nucleases (RGENs) in RFLP analysis. We prepare RGENs by complexing recombinant Cas9 protein derived from Streptococcus pyogenes with in vitro transcribed guide RNAs that are complementary to the DNA sequences of interest. Then, we genotype recurrent mutations found in cancer and small insertions or deletions (indels) induced in cultured cells and animals by RGENs and other engineered nucleases such as transcription activator-like effector nucleases (TALENs). Unlike T7 endonuclease I or Surveyor assays that are widely used for genotyping engineered nuclease-induced mutations, RGEN-mediated RFLP analysis can detect homozygous mutant clones that contain identical biallelic indel sequences and is not limited by sequence polymorphisms near the nuclease target sites.
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/ncomms4157 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms4157
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/ncomms4157
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().