Antiproliferative effects of AAV-delivered CRISPR/Cas9-based degradation of the HPV18-E6 gene in HeLa cells.
Zahra NorooziMehdi ShamsaraElahe ValipourSahar EsfandyariAlireza EhghaghiAmir MonfaredanZahra AziziElahe MotevaseliMohammad Hossein ModarressiPublished in: Scientific reports (2022)
Human papillomavirus infections are associated with most cervical cancers, which are the fourth most common cancer in women. HPV-E6 protein binds to protein p53 and inhibits its function, leading to the switching of normal cells toward cancer cells. Here, we disrupted the HPV-E6 gene and investigated its effects on the proliferation and apoptosis of HeLa cells. The HPV18-E6 gene was targeted with two designed sgRNAs cloned into an AAV-CRISPR-based plasmid. The AAV-E6-CRISPR/Cas9 virions were prepared and titrated in HEK293t cells. The cleavage created in the HPV-E6 gene was detected using the T7E1 assay. Cell cycle profiling, MTT assay, and annexin V/PI staining were performed. Also, the p53 protein level was measured by Western blotting. Our data showed that disruption of the HPV-E6 gene led to increased cell apoptosis and decreased cell proliferation. A significant accumulation of infected cells in sub-G1 phase was observed in the cell profiling assay. Also, HPV-E6 gene disruption resulted in a significant increase in the level of P53 protein. Our findings indicated that AAV-mediated delivery of CRISPR/Cas9 can effectively target the HPV-E6 gene in HeLa cells, and its antiproliferative effects may provide therapeutic benefits of local administration of this gene-editing system for HPV-related cervical cancers.
Keyphrases
- cell cycle arrest
- crispr cas
- induced apoptosis
- high grade
- cell proliferation
- cell death
- genome wide
- genome editing
- cell cycle
- pi k akt
- copy number
- cervical cancer screening
- endoplasmic reticulum stress
- signaling pathway
- genome wide identification
- machine learning
- stem cells
- high throughput
- dna methylation
- escherichia coli
- small molecule
- single cell
- drug delivery
- mesenchymal stem cells
- gene therapy
- protein protein
- south africa
- artificial intelligence
- skeletal muscle
- single molecule
- transcription factor
- high resolution
- mass spectrometry
- big data
- genome wide analysis
- resting state
- pregnancy outcomes