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Transcriptome analysis of the effect of HERV-K env gene knockout in ovarian cancer cell lines.
Transcriptome analysis of the effect of HERV-K env gene knockout in ovarian cancer cell lines.
- Source :
- Genes & Genomics; Nov2024, Vol. 46 Issue 11, p1293-1301, 9p
- Publication Year :
- 2024
-
Abstract
- Background: Human endogenous retroviruses (HERVs) have been implicated in the pathogenesis of various diseases, particularly cancers. Previous investigations from our group demonstrated that targeted knockout (KO) of the HERV-K env gene led to a significant reduction in tumorigenic attributes, including proliferation, migration, and invasion of ovarian cancer cells. Objective: In this study, we aimed to elucidate the impact of HERV-K env KO on gene expression in ovarian cancer cell lines through comparative RNA sequencing (RNA-Seq) analysis with two distinct HERV-K env KO ovarian cancer cell lines, SKOV3 and OVCAR3. Methods: HERV-K env gene KO was achieved in SKOV3 and OVCAR3 ovarian cancer cell lines using the CRISPR-Cas9 system. Next-generation mRNA sequencing was employed to assess the gene expression profiles of both mock and HERV-K env KO ovarian cancer cells. Furthermore, comprehensive analyses involving gene ontology and pathway assessments were conducted. Results: Transcriptome analysis revealed that 23 differentially expressed genes (DEGs) were upregulated and 17 DEGs were downregulated in SKOV3 cells. In OVCAR3 cells, 198 DEGs were upregulated, and 17 DEGs were downregulated. Notably, 53 DEGs exhibited statistically significant differences among the 1,612 DEGs identified. Our findings indicate that HERV-K env gene KO exerts a profound influence on gene expression patterns in OVCAR3 cells, while genetic alterations in expression were relatively modest in SKOV3 cells. Nevertheless, genes ND1, ND2, and CYTB displayed a common increase in expression, while ERRFI1 and NDRG1 exhibited a decrease in expression in both cell lines. Conclusion: Our study demonstrates that KO of the HERV-K env gene in ovarian cancer cell lines has a substantial impact on gene expression patterns and can be used to identify potential therapeutic targets for ovarian cancer and related diseases. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19769571
- Volume :
- 46
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Genes & Genomics
- Publication Type :
- Academic Journal
- Accession number :
- 181201851
- Full Text :
- https://doi.org/10.1007/s13258-024-01544-4