Spatial proteomics finds CD155 and Endophilin-A1 as mediators of growth and invasion in medulloblastoma.
Charles CapdevilleLinda RussoDavid PentonJessica MigliavaccaMilica ZecevicAlexandre GriesStephan C F NeuhaussMichael A GrotzerMartin BaumgartnerPublished in: Life science alliance (2022)
The composition of the plasma membrane (PM)-associated proteome of tumor cells determines cell-cell and cell-matrix interactions and the response to environmental cues. Whether the PM-associated proteome impacts the phenotype of Medulloblastoma (MB) tumor cells and how it adapts in response to growth factor cues is poorly understood. Using a spatial proteomics approach, we observed that hepatocyte growth factor (HGF)-induced activation of the receptor tyrosine kinase c-MET in MB cells changes the abundance of transmembrane and membrane-associated proteins. The depletion of MAP4K4, a pro-migratory effector kinase downstream of c-MET, leads to a specific decrease of the adhesion and immunomodulatory receptor CD155 and of components of the fast-endophilin-mediated endocytosis (FEME) machinery in the PM-associated proteome of HGF-activated MB cells. The decreased surface expression of CD155 or of the fast-endophilin-mediated endocytosis effector endophilin-A1 reduces growth and invasiveness of MB tumor cells in the tissue context. These data thus describe a novel function of MAP4K4 in the control of the PM-associated proteome of tumor cells and identified two downstream effector mechanisms controlling proliferation and invasiveness of MB cells.
Keyphrases
- growth factor
- tyrosine kinase
- induced apoptosis
- particulate matter
- air pollution
- cell cycle arrest
- single cell
- cell therapy
- heavy metals
- epidermal growth factor receptor
- regulatory t cells
- dendritic cells
- polycyclic aromatic hydrocarbons
- signaling pathway
- stem cells
- cell migration
- type iii
- risk assessment
- cystic fibrosis
- bone marrow
- long non coding rna
- diabetic rats
- electronic health record
- high density
- label free
- deep learning
- big data
- microbial community
- drug induced
- candida albicans
- liver injury
- stress induced