The chicken chorioallantoic membrane model for isolation of CRISPR/cas9-based HSV-1 mutant expressing tumor suppressor p53.
Mishar KelishadiHosein ShahsavaraniAlijan TabarraeiMohammad Ali ShokrgozarLadan Teimoori-ToolabiKayhan AzadmaneshPublished in: PloS one (2023)
Oncolytic viruses (OVs) have emerged as a novel cancer treatment modality, which selectively target and kill cancer cells while sparing normal ones. Among them, engineered Herpes simplex virus type 1 (HSV-1) has been proposed as a potential treatment for cancer and was moved to phase III clinical trials. Previous studies showed that design of OV therapy combined with p53 gene therapy increases the anti-cancer activities of OVs. Here, the UL39 gene of the ICP34.5 deleted HSV-1 was manipulated with the insertion of the EGFP-p53 expression cassette utilizing CRISPR/ Cas9 editing approach to enhance oncoselectivity and oncotoxicity capabilities. The ΔUL39/Δγ34.5/HSV1-p53 mutant was isolated using the chorioallantoic membrane (CAM) of fertilized chicken eggs as a complementing membrane to support the growth of the viruses with gene deficiencies. Comparing phenotypic features of ΔUL39/Δγ34.5/HSV1-p53-infected cells with the parent Δγ34.5/HSV-1 in vitro revealed that HSV-1-P53 had cytolytic ability in various cell lines from different origin with different p53 expression rates. Altogether, data presented here illustrate the feasibility of exploiting CAM model as a promising strategy for isolating recombinant viruses such as CRISPR/Cas9 mediated HSV-1-P53 mutant with less virus replication in cell lines due to increased cell mortality induced by exogenous p53.
Keyphrases
- herpes simplex virus
- crispr cas
- genome editing
- clinical trial
- phase iii
- poor prognosis
- gene therapy
- single cell
- induced apoptosis
- type diabetes
- gene expression
- randomized controlled trial
- wild type
- copy number
- machine learning
- climate change
- risk factors
- phase ii
- young adults
- oxidative stress
- mesenchymal stem cells
- cell cycle arrest
- endoplasmic reticulum stress
- artificial intelligence
- childhood cancer
- big data
- combination therapy
- replacement therapy