A Multifunctional and Highly Adaptable Reporter System for CRISPR/Cas Editing.
Jochen M WettengelLea Hansen-PalmusSofiya YusovaLauren N RustSreya BiswasJulien CarsonJunghyun RyuBenjamin N BimberJon D HenneboldBenjamin J BurwitzPublished in: International journal of molecular sciences (2023)
CRISPR/Cas systems are some of the most promising tools for therapeutic genome editing. The use of these systems is contingent on the optimal designs of guides and homology-directed repair (HDR) templates. While this design can be achieved in silico, validation and further optimization are usually performed with the help of reporter systems. Here, we describe a novel reporter system, termed BETLE, that allows for the fast, sensitive, and cell-specific detection of genome editing and template-specific HDR by encoding multiple reporter proteins in different open-reading frames. Out-of-frame non-homologous end joining (NHEJ) leads to the expression of either secretable NanoLuc luciferase, enabling a highly sensitive and low-cost analysis of editing, or fluorescent mTagBFP2, allowing for the enumeration and tissue-specific localization of genome-edited cells. BETLE includes a site to validate CRISPR/Cas systems for a sequence-of-interest, making it broadly adaptable. We evaluated BETLE using a defective moxGFP with a 39-base-pair deletion and showed spCas9, saCas9, and asCas12a editing as well as sequence-specific HDR and the repair of moxGFP in cell lines with single and multiple reporter integrants. Taken together, these data show that BETLE allows for the rapid detection and optimization of CRISPR/Cas genome editing and HDR in vitro and represents a state-of the art tool for future applications in vivo.
Keyphrases
- crispr cas
- genome editing
- low cost
- loop mediated isothermal amplification
- label free
- poor prognosis
- dna repair
- dna damage
- living cells
- drug delivery
- quantum dots
- cell therapy
- stem cells
- genome wide
- high resolution
- cell cycle arrest
- current status
- mesenchymal stem cells
- electronic health record
- mass spectrometry
- working memory
- machine learning
- cancer therapy
- signaling pathway
- oxidative stress
- gene expression
- cell death
- dna methylation
- molecular dynamics simulations