Targeted genomic CRISPR-Cas9 screen identifies MAP4K4 as essential for glioblastoma invasion.
Laura M ProloAmy LiScott F OwenJonathon J ParkerKara FoshayRyan T NittaDavid W MorgensSara BolinChristy M WilsonJohana C M Vega LEmily J LuoGigi NwagboAllen WaziriGordon LiRichard J ReimerMichael C BassikGerald A GrantPublished in: Scientific reports (2019)
Among high-grade brain tumors, glioblastoma is particularly difficult to treat, in part due to its highly infiltrative nature which contributes to the malignant phenotype and high mortality in patients. In order to better understand the signaling pathways underlying glioblastoma invasion, we performed the first large-scale CRISPR-Cas9 loss of function screen specifically designed to identify genes that facilitate cell invasion. We tested 4,574 genes predicted to be involved in trafficking and motility. Using a transwell invasion assay, we discovered 33 genes essential for invasion. Of the 11 genes we selected for secondary testing using a wound healing assay, 6 demonstrated a significant decrease in migration. The strongest regulator of invasion was mitogen-activated protein kinase 4 (MAP4K4). Targeting of MAP4K4 with single guide RNAs or a MAP4K4 inhibitor reduced migration and invasion in vitro. This effect was consistent across three additional patient derived glioblastoma cell lines. Analysis of epithelial-mesenchymal transition markers in U138 cells with lack or inhibition of MAP4K4 demonstrated protein expression consistent with a non-invasive state. Importantly, MAP4K4 inhibition limited migration in a subset of human glioma organotypic slice cultures. Our results identify MAP4K4 as a novel potential therapeutic target to limit glioblastoma invasion.
Keyphrases
- cell migration
- crispr cas
- genome wide
- epithelial mesenchymal transition
- high density
- high grade
- end stage renal disease
- signaling pathway
- endothelial cells
- ejection fraction
- genome wide identification
- induced apoptosis
- chronic kidney disease
- wound healing
- cardiovascular events
- bioinformatics analysis
- dna methylation
- computed tomography
- peritoneal dialysis
- gene expression
- risk factors
- type diabetes
- escherichia coli
- copy number
- drug delivery
- cardiovascular disease
- patient reported outcomes
- cystic fibrosis
- single cell
- biofilm formation